Search

This paper introduces a blazingly fast, no-loss expert system for Tic Tac Toe using Decision Trees called T3DT, that tries to emulate human gameplay as closely as possible. It does not make use of any brute force, minimax or evolutionary techniques, but is still always unbeatable. In order to make the gameplay more human-like, randomization is prioritized and T3DT randomly chooses one of the multiple optimal moves at each step. Since it does not need to analyse the complete game tree at any point, T3DT is exceptionally faster than any brute force or minimax algorithm, this has been shown theoretically as well as empirically from clock-time analyses in this paper. T3DT also doesn't need the data sets or the time to train an evolutionary model, making it a practical no-loss approach to play Tic Tac Toe., Comment: Author's version of the paper published in IET Cognitive Computation and Systems. For the journal-typeset version, please see https://doi.org/10.1049/ccs.2020.0018

With the presence of Distributed Energy Resources (DERs) such as heat pumps (HPs), electric vehicles (EVs) and photovoltaics (PVs) within the modern distribution networks, conventional power flow is being significantly altered [1]. This situation becomes worse during the winter time, when the HPs with large rating consumption is running for a long period. The stress on the grid infrastructure is tackled conventionally by network reinforcement (building or/and upgrading new cables and new transformers to meet the loads requirements). However, the fact that load locations in distribution networks spread widely over geographical areas makes the network reinforcement more financially infeasible in a short term [2]. Another alternative for this solution can be the procurement of demand flexibility offered by owners’ DERs so that the network infrastructure can reach a better utilization [3]. In support with the European Union's efforts for proactive, advance, secure and intelligent digital grids [4], the H2020 project UNITED-GRID aims to develop technical solutions to serve needs and opportunities for DSOs in their electricity grids [5]. In this paper, under the UNITED GRID project objectives, a mechanism is developed to support the DSOs with a better grid management scheme regarding congestion management by incorporating data-driven congestion scheme and thus reducing the congestion. The objective of the work is to avoid/reduce thermal overloading of the transformer while reducing cost [6]-[7]. An algorithm is developed, which can help DSOs to solve congestion problems in the LV distribution network. A demand response is applied for procurement of flexibility, using available flexibility in order to mitigate the congestion in the distribution network. Once the congestion occurs, DSO can refer to the data driven classifier model and mitigate the congestion with the minimized cost. A typical Dutch LV distribution network, is considered for analysis assuming every house is equipped with at the most three types of appliances: buffer appliance, time-shifter appliance and uncontrollable appliance. Different evaluation scenarios are considered for flexibility procurement and developed model is tested in a simulation environment. It is observed that the DSO have significant savings and reduction of congestion occurrence in LV distribution network. Performance and accuracy of the developed data driven models is also found to be well within the satisfactory limits. Detailed methodology and results analysis would be shared in full paper.

Velander’s formula and coincidence factors have traditionally been used to estimate peak load for new connections in the distribution grid. By re-evaluating their underlying assumptions, this paper proposes two improved models for aggregated peak load estimation (PLE). For single-category load aggregation, the proposed coincidence factor model, by incorporating an average correlation coefficient, improves the model fitting by 76%–96% as compared to the standard Rusck model. For multiple-category load aggregation, the proposed joint Gaussian regression model reduces the PLE bias from 3%–34% to 0.2%–3% compared to the traditional approach. (see the full paper in 4 pages)

With the current Distribution System Operator (DSO) transition, DSOs are looking for novel cost-effective solutions to manage distribution networks. To avoid operational failures these solutions must be evaluated in a realistic end to end test environment prior to deployment. To meet this requirement PNDC is presently developing a platform that integrates solutions for power system analysis, market modelling, and real-time simulation. This multi-layered simulation platform will be used to investigate the impact of different DSO operational scenarios (e.g. flexibility procurement, communication interfaces, and vendor provided solutions). To develop the case study presented in this paper aspects of the Open Networks ‘Future Worlds’ were utilised. The ‘Future Worlds’ were developed by the UK Energy Networks Association and represent potential scenarios for the UK future electricity industry structure. This paper presents a case study using the PNDC platform. This case study reflects ‘Future World’ A and simulates an enforced power exchange profile at a grid supply point. In the case study a controllable demand is simulated in real-time and interfaces with power flow analysis and an optimal flexibility procurement algorithm. The case study demonstrates the capability of the multi-layered platform to manage network limitations by procuring flexibility services within a simulated distribution network.

The electrical energy sector is in a fundamental changing process. The integration of decentral renewable power plant and new electrical devices, like electrical vehicles, cause critical situations in the distribution grid. Smart grid systems can solve these situations. Nowadays there are smart grid solutions for the medium or the low voltage level. These systems work decentral (semi-) autarkic and consider only one single voltage level although there are huge interdependencies between the different levels. For this reason, this paper starts with the approach to build up a holistic smart grid system for the complete distribution grid. As a first step, the interactions between medium and low voltage smart grid systems are shown in this paper. Especially the ability of the low voltage system to be an aggregated medium voltage actuator is presented. The low voltage smart grid system aggregates all actuators for the medium voltage and provides reliable actuator flexibility. It will be shown, that the combination of both LV- and MV-systems in a holistic smart distribution grid will open up huge synergy effects.

Electric buses have gained a large public interest lately. In Gothenburg, Sweden a demonstration project is currently underway where electrical and hybrid electric buses are being tried. This paper investigates the impacts on the electrical distribution system from the fast charging stations used to power the electric buses. Alternatives to mitigate the impacts including demand response and energy storage at the charge location have also been investigated in the paper. A case study has been performed for the distribution system of Chalmers University of Technology where a charging station is located. The study results show that in all of the simulated areas, the grid could handle a 300 kW charge station without any problems. Energy storage and demand response could, to some extent, support the grid to manage the fast charging stations but would be limited by the utilization factor of the charger.

This Paper examines, in detail, all aspects related to rollout of Advanced Metering Infrastructure (AMI) in India. It covers key issues such as smart meter standards and specification, testing of smart meters, retrofitting of existing meters, communication technology options, procurement strategy and business models for AMI rollout. Under the UDAY program, Government of India plans to deploy smart meters for all customers with monthly consumption above 200 kWh by December 2019. Distribution Companies (DISCOMs) have the responsibility of choosing the most optimum deployment strategy. While the traditional AMI approach proposes deployment of smart meters for all customers on a feeder, another option is to deploy only for customers having monthly electricity consumption greater than 200 units. Part A of this Paper presents a detailed cost-benefit analysis which strongly advocates deployment of smart meters for all customers on a feeder primarily because of the potential to reduce Aggregate Technical and Commercial (AT&C) losses and the substantially lower cost for the last mile communication network when the full feeder is covered. Part B of this Paper covers a set of recommendations for AMI roll out in India.

Going to a green electricity landscape needs to cover not only the cost of the renewable production units, but also the cost for their full integration in the system. Hence, the additional costs of congestion and balancing need to be considered as well. Solving congestion issues by investing in new grid assets can be a costly and time-consuming way to integrate new renewables to the grid. Hence, the Belgian distribution network operator Eandis started a pilot project on wind turbine control where a traditional connection would not have been possible for the wind turbines. This ‘smart’ connection solves congestion issues and allows more renewable energy on the grid. This seems contradictory, but controllability does not necessarily mean curtailing, as discussed in the paper. It signifies an opportunity for better utilizing the grid assets and allowing more green energy production units in the electric power system. This paper discusses the results of the pilot project.

This paper shows modelling developed during the first year of the SmartNet project. In particular, it presents a mathematical model for aggregation of curtailable generation and sheddable loads. The model determines the quantity and the cost of the flexibility provided by the flexible resources based on their physical and dynamic behaviours. The model also proposes a bidding strategy in order to translate the aggregated behaviour into market bids., This paper is a postprint of a paper submitted to and accepted for publication in 24th International Conference & Exhibition on Electricity Distribution and is subject to Institution of Engineering and Technology Copyright. The copy of record will be available at the IET Digital Library.

With the increasing penetration of distributed renewable generation being connected, a number of solutions have been developed to avoid network overloads. A number of the already implemented schemes are based on generation curtailment during times of high generation and low demand. The ACCESS (Assisting Communities to Connect to Electric Sustainable Sources) system implements a more sophisticated predictive based solution. In the ACCESS system the generation resource and electrical demand is predicted and the storage heating resource is managed, providing a demand side management instead of a generation curtailment solution. The ACCESS system was installed, tested and demonstrated in the Power Network Demonstration Centre (PNDC), a research facility that enables realistic testing of novel hardware and network operation schemes in a controlled environment, in 2015. Following the testing at the PNDC, the ACCESS system was deployed in the Isle of Mull, in 2016. This paper reports on the outcome of the testing of the demand response features of the ACCESS system at the PNDC prior to its deployment on the Isle of Mull. This paper reports on: the different components of the system in detail (i.e. what it is designed to do and why); the test regime undertaken at the PNDC; the results of the testing (i.e. how effectively it achieves its design objectives); and the updates to the ACCESS system based on the testing with regards to the solutions employed and the benefits achieved.

Over the past decade, the health index has become an increasingly popular asset management tool in utilities. The health index as a condition indicator can improve the decision making process. However, it also has challenges which need to be considered during development and implementation. This paper addresses the advantages and disadvantages of the health index as a condition indicator in a critical discussion. Moreover, a case study is presented where a health index is calculated for three transmission power transformers. The case study illustrates that age and the load factor included in the health index calculation lead to an immoderately high health index for the transformers T2 and T3. Thus, the paper ageing of the transformer windings are used instead which results in a plausible condition representation of all three transformers. The case study also demonstrates that the observation of condition trends over time is lost if the health index is transformed into a linguistic expression. QC 20170811

Ageing assets of any electrical utility are a reality; the challenge is not in replacing these assets by incurring huge capital expenditure but in enhancing the life of existing assets. This involves re-engineering of existing installations by developing retrofit solutions so as to accommodate the reengineered solutions in the existing space and at a substantially reduced capital expenditure. Retro filling of mineral oil filled transformers by natural esters has given multiple benefits of enhanced fire safety, enhanced life of the paper by virtue of the fact that natural esters have an inherent property of absorbing moisture from the paper insulation that is impregnated with, further the temperature rise offered by natural esters are higher than that by mineral oil. Tata Power has adopted the best practice of retro filling mineral oil filled transformers that are optimally loaded and more than 15 years old with natural esters. Condition monitoring of these transformers over a period of time has clearly depicted that retro filling of distribution transformers by replacing traditional mineral oil with natural ester oil is a financially viable solution for enhancement of transformer capacity, life, safety, & environment friendly.

OA, publisher's version can be archived under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/). Link to publisher's version: https://doi.org/10.1049/oap-cired.2017.0556 This paper focuses on alternative grid tariffs for household customers with roof top PV-panels ("prosumers"), and evaluates how alternative grid tariffs might affect the benefit from investing in a roof top PV-panel. The paper further shows how different orientations of the PV-panels can affect the benefits for the prosumers subjected to different grid tariffs (for example a power grid tariff), where the idea is that self-consumption will produce the best economic yield. First different alternatives for distribution grid tariffs to household customers and prosumers are presented. Afterwards, the paper presents empirical data showing typical consumption and generation for some households with PV-panels (located in south-eastern and central Norway).

Several market algorithms, such as Fast Locational Marginal Pricing (FLMP) and Receding Horizon Control (RHC), have shown the ability to cope with grid congestion. The RHC algorithm can cope with fluctuations in power consumption and generation but is computationally intensive due to the larger search space within the time horizon. The FLMP algorithm is not complex but does not utilize a horizon with information on future consumption and generation. This paper demonstrates a performance comparison between the FLMP and Horizon Marginal Pricing (HMP) algorithm. HMP is an algorithm that combines the simplicity of the FLMP algorithm with the time horizon possibilities of the RHC algorithm. The HMP algorithm uses the predicted generation profile to adjust the bid curves, such that consumption shifts to moments with more renewable generation available. Simulations are carried out to compare the performance between the HMP and FLMP algorithms. The results show comparable performance between the FLMP and HMP, whilst the FLMP computes the simulation faster and requires less bandwidth.

Low-voltage distribution networks are facing the increasing penetration of electric vehicles, which can cause congestion in the form of undervoltage and overcurrent events. A possible mitigation strategy is asking residential users to reduce their power consumption below a given threshold if congestion risk is forecasted. Although active power reduction of loads does not necessarily entail direct economic losses to the residential customer, unlike the case of PV generation, this type of congestion mitigation method needs to be adjusted to be acceptable for the public, as it might affect user comfort. This paper presents a mitigation method in which several residential users accept to reduce their power demand in exchange for economic benefits. The solution is based on a set of contractual agreements that can be stipulated between residential users and their system operators. The contractual terms limit the time and duration of power reduction, in order not to compromise the comfort of the users. The fairness of different sets of contractual criteria is explored. In particular, it is assessed how the selection of the contractual agreement affects customers, depending on their locations.

With the emerging rise of electricity production coming from distributed generation (DG), the need of having reliable distribution grid models to study DG integration is emerging. Distribution Network Models (DiNeMo) platform aims at covering this gap by reproducing the representative distribution grid of a given area of interest. The models are based on data relative to the area and on indicators built from the data provided by 99 European Distribution System Operators (DSOs) supplying more than 100, 000 consumers. Among the outputs that DiNeMo provides, the key files are those which allow to run power flow simulations. In this paper, we report the results of AC power flow analyses relative to an urban network of the city of Hannover. Our focus here is the study of voltage fluctuations and line losses under different levels of household photovoltaic installation. Starting with a current state of demand without any household having installed photovoltaic (PV) panels, we move to the analysis of higher penetration levels. After that, we run additional simulations to assess the impact that meshed medium voltage (MV) network configurations can have on the capacity hosting of the grid in exam.

Active Network Management (ANM) has been developed over the past decade in the UK as a potential solution to facilitate integration of Distributed Generation (DG) in distribution networks. It is used to manage network limits and allows significantly cheaper and faster connections for DGs, compared to the network reinforcement. However, ANM can help with the DG penetration only to a certain extent as new DG connections in constrained networks will result in curtailment. This paper investigates the levels of energy storage and locations of its placement in reducing curtailment of DGs and improving utilisation of distribution networks with ANM solutions. It evaluates and compares energy storage values of energy storage capacity at different locations, and using the real network and wind data provided by SP Energy Networks (SPEN) Accelerating Renewable Connection (ARC) project.

Operating power systems is an extremely challenging task, not least because power systems have become highly interconnected, as well as the range of network issues that can occur. It is therefore a necessity to develop decision support systems and visualisation that can effectively support the human operators for decisionmakingin the complex and dynamic environment of future highly automated power system. This paper aims to investigate the decision support functions associated with frequency deviation events for the proposed Web of Cells concept.

International audience; In the last two decades, electricity grids have faced many challenges that they were not designed to handle. These include integrating weather-dependent renewables, distributed generators, storage units and other advanced components, as well as taking into account active demand. These challenges, together with the ageing of infrastructures, make it more difficult to deliver cost-effective, reliable power. To overcome these issues requires creating new network architectures. The research project Fractal Grid proposes fractality as a core concept to model, analyze and design smart grids in their evolution up to 2030 and beyond. This paper presents the project, its methodological approach and the first results.

The rising penetration of intermittent energy resources is increasing the need for more diverse electrical energy resources that are able to support ancillary services. Demand side management (DSM) has a significant potential to fulfil this role but several challenges are still impeding the wide-scale integration of DSM. One of the major challenges is ensuring the performance of the networks that enable communications between control centres and the end DSM resources. This paper presents an analysis of all communications networks that typically participate in the activation of DSM, and provides an estimate for the overall latency that these networks incur. The most significant sources of delay from each of the components of the communications network are identified which allows the most critical aspects to be determined. This analysis therefore offers a detailed evaluation of the performance of DSM resources in the scope of providing real-time ancillary services. It is shown that, using available communications technologies, DSM can be used to provide primary frequency support services. In some cases, Neighbourhood Area Networks (NANs) may add significant delay, requiring careful choice of the technologies deployed.

For the purpose of a condition-based asset management, in-depth knowledge of the equipment condition is needed. In medium-voltage power networks, paper-insulated lead-covered (PILC) cables are to see as special critical assets. In order to evaluate the most appropriate diagnostic parameters and their characteristic values, multiple PILC cables have been artificially aged at power frequency during a long-lasting laboratory ageing experiment. Over this process, the relevant parameters like dissipation factor and partial discharge behaviour have been monitored and recorded and a fundamental database was built up. As a next step, field measurements of these values need to follow. Therefore, a mobile measurement system has been furtherly developed and integrated in a cable test van. In order to get improved diagnostic criteria the mobile test system facilitates, that the dielectric properties of the PILC cables are determined at 0.1 and 50 Hz test voltage frequency. Here, the development, the calibration and the adjustment of the measurement system as well as influences on field measurements will be described and discussed.

Electrical network should have proper earthing (grounding) system for its reliable operation and for the safety of operating personnel and connected customers. Good earthing provides a suitable return path for the fault current when a short circuit occurs in the network. In a low-voltage (LV) network mainly terra-terra (TT) and terra-neutral (TN) type network configurations are commonly used. Depending on the agreement between the network operator and the customer, earthing at a customer's point of connection (POC) is provided by a dedicated earth conductor, combined network cable (PEN conductor), or via a separate earth electrode. When an earth retour path is broken or interrupted, it will not be able to provide earth retour circuit and can cause dangerous fault voltage at various exposed parts of the conducting circuit. In this paper, various LV network configurations are discussed. Further, a practical monitoring based case study is presented to analyze the diversity of earth resistance values for different LV network configurations. Also, guiding rules are given to define safe value of circuit impedance and earth resistance path for various configurations. Finally, a proposal is given to optimize the safety needs at a customer's POC.

This paper deals with the supervisory control and data acquisition/advanced distribution management systems (SCADA/ADMS) assessment methodology adopted during Enel global SCADA/ADMS convergence project; it has the scope to evaluate the possibility to converge towards a unique solution to be adopted worldwide by all Enel distribution companies. The assessment was performed using an unbiased and technically sound process to evaluate all the actually used SCADA/ADMS solutions against a set of forward-looking technical requirements to determine the best path forward for the overall corporation. The assessment was performed in partnership with Electric Power Research Institute, incorporating their global experience with SCADA/ADMS requirements and implementations.

Renewable energies and digital technologies are two of the strongest drivers for the ongoing energy transition. Due to current transformations new business models appear, while conventional ones vanish. This threatens incumbents, but also provides manifold opportunities. The current transition leads to falling barriers, changing roles and markets, and the appearance of new players – this rapidly changing environment allows agile companies to obtain new fields of business. The challenge is to shape new business models, which will successfully transform or extend current businesses. Therefore, we developed a novel approach to hands-on tackle this challenge in five phases: understand the environment, ideate new value propositions, cluster and select promising value proposition bundles, design business models around them, and evaluate their viability. This approach guides companies from endless possibilities to concrete options that can be chosen or rejected based on quantitative assessment – dissolving paralysis and enabling action. We successfully applied the approach to utilities in Germany, India and Italy. In this paper, we present our systematic business innovation approach by explaining the general process, a sample application with Enel Global Infrastructure & Networks and give our 10 key recommendations for successful business innovation projects tackling the digital transformation challenge in the energy sector.

Distribution Automation (DA) is deployed to reduce outage times, isolate the faulted area, and rapidly restore customer supplies following network faults. Recent developments in Supervisory Control and Data Acquisition (SCADA) and intelligent DA equipment have sought to improve reliability and security of supply. The introduction of such ‘intelligent’ technologies on distribution networks, where investment in dedicated condition monitoring equipment remains difficult to justify, presents an opportunity to capture constant streams of operational data which can offer a useful insight into underlying circuit conditions if utilised and managed appropriately. The primary function of the NOJA Pole-Mounted Auto-Recloser (PMAR) is to isolate distribution circuits from detected faults, while attempting to minimise outages due to transient faults. However, in this process the PMAR also captures current and voltage measurements that can be analysed to inform any subsequent fault diagnosis, and potentially detect the early onset of circuit degradation, and monitor and predict its progression. This paper details the design and development of an automated decision support system for fault diagnosis and prognosis, which can detect and diagnose evolving faults by analysing PMAR data and corresponding SCADA alarm data. A knowledge based system has been developed, utilising data science and data mining techniques, to implement diagnostic and prognostic algorithms which automate the existing manual process of post fault diagnosis and anticipation, and circuit condition assessment.

One of the major problems in optimal operation of the distribution networks is harmonic emission in the frequency range of 2–150 KHz or supra-harmonics. Some of the problems of the emission and harmonic immunity in the frequency range of 2–150 KHz are noted in IEC61000-4-19 standard. The testing and measurement methods of power quality are expressed in IEC61000-4-30 standard. In CISPR-16 standard, the measurement equipment and techniques of harmonic emission and immunity are presented in the frequency range of 9 KHz. However, very few studies have been performed on the impact of supra-harmonics resulted from switching the converters used in distributed generation (DGs) on the behaviour of other network equipment and consumer. In this paper, the devastating effects of the harmonics in the frequency range of 2–150 KHz resulted from switching the full power frequency converter of the wind turbine (PMSG) on the capacitor banks of the cement factory are examined. The results of simulation show that the harmonics generated by full power frequency converter of the wind turbine (PMSG) are in the range of 3–7 KHz. These harmonics can increase the current drawn from the capacitor bank current and the equipment burning.

The current transmission and distribution network relies on SF6 technology because of its remarkable arc quenching properties and dielectric insulation. However, SF6 is a greenhouse gas with an extremely significant impact on global warming. It is one of the six gasses listed in the 1997 Kyoto Protocol designed to lower greenhouse gas emissions worldwide. In addition, as a fluorinated gas, SF6 is subject to various other regulations that intend to reduce emissions. GE jointly developed g3 (green gas for grid) with 3M™ Company, a leader in environmentally sustainable solutions. g3 has 98% less impact on global warming than SF6. With performances comparable to SF6, it is a suitable technology for the development of today's new generation of clean high- and ultrahigh voltage equipment. Equipment using g3 maintains the same dimensions and overall footprint, which are key environmental and economical factors for utilities. In order to obtain the same dielectric margin, the pressure level in some cases has to be increased relative to SF6 values but the operating pressures are limited to values already known in GIS, DT (Dead Tank) and LT (Live Tank). This paper describes the g3 characteristics in detail, with a focus on its use as current interruption medium.Fig. 1145 kV g3 circuit breaker under test

This study introduces and describes a demonstration island of low-voltage direct current (LVDC) distribution system. The LVDC distribution system is planned to be constructed in an island of South Korea named Geochado by a project of KEPCO (Korea Electric Power Corporation). In this study, the network design of the demonstration island is proposed. A new DC network will be installed to demonstrate the LVDC distribution system and is planned to operate with the existing AC network. In addition, this paper presents the composition of loads for the DC network demonstration and distribution energy resources (DER) containing renewable energy resources. A variable speed function is planned to be developed for fuel efficiency operation. To calculate optimal DER capacity, HOMER microgrid economic analysis tool is used. Optimal HOMER results are presented with several cases. The final DER capacity is selected by considering the cost, stability and recent weather conditions. The energy management system is designed for efficient monitoring and control of LVDC distribution system. In addition, heat management system, power management system and automatic demand response are applied for demonstration. Each system interface method and a communication method for systems and field devices are proposed. Finally, the operation strategy for the LVDC distribution system is proposed in this study.

The voltage and current unbalances are serious power quality problems with interaction on each other and mainly affecting low-voltage electricity distribution three-phase systems. In a three-phase system, the current unbalance is due to load unbalance, while it is considered as the main cause of voltage unbalance. The electricity utilities and distribution network operators are responsible for providing of symmetrical voltages system at the point of common coupling between distribution gird and customers' internal network. The duty of current balancing is solidarity of both of electricity suppliers and customers. The utilities must do it for voltage balancing by equally distribution of single-phase customers between three phases, while three-phase customers have no responsibility for doing it for their single-phase loads. According to this paper, the power quality penalty and unbalanced current-based tariff are innovated for encouraging them to do it like as utilities.

Cable circuits connecting wind farms to the grid are subject to highly variable loading. The sizing of such cables according to conventional continuous rating methods, for example IEC 60287, can lead to some conservatism. Traditional daily Loss Load Factors (LLF) are also unsuitable for use with these circuits, as unlike demand driven circuits there is no discernible daily load cycle. This paper uses electrical and thermal data from operational wind farm circuits to propose an alternative cyclic rating method for sizing such circuits.

Croatian ten year distribution network development plan (2016-2025) is characterised by peak driven network design in which the network is primarily developed and designed to meet peak demand in a safe and reliable manner and in which losses have been considered more as a consequence of design and operational management decisions, rather than and explicit development criteria. Faced with the requirement from the Article 15 of the Energy Efficiency Directive, in 2015 Croatian regulatory authority launched the vast study in order to examine the opportunities of making distribution network more energy efficient within the framework of the approved investments from 10-year plan. Based on the outcomes of the study, in this paper key measures for increasing energy efficiency and their energy efficiency potential are presented.