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Multi-agent systems are widely used tools to simulate and study the energy sector because of their distributed architecture. There are several simulator tools available in literature, however, much of these prove to be very domain specific. The emergence of the Tools Control Center tool allows these simulators to cooperate in order to solve more comprehensive problems and more complex scenarios. This paper presents a module of this tool known as Demand Response Registration Digital, which allows the study of the model and programs of Demand Response. To understand the operation of this module, an example is given considering a wind curtailment scenario., UID/EEA/00760/2019 funded by FEDER Funds through COMPETE program and by National Funds through FCT

According to importance of demand response programs in smart grids and microgrids, many efforts have been made to change the consumption patterns of the users, and the use of renewable resources has also increased. Significant part of energy consumption belongs to buildings such as residential, commercial, and office buildings. Many buildings are equipping with components that can be used for the participation in demand response programs. The SCADA system plays a key role in this context, which enables the building operator to have control and monitor the consumption and generation. This paper presents a real implementation of an optimization based SCADA system, which employs several controlling and monitoring methods in order to manage the consumption and generation of the building for decision support and participating in demand response events. Since the air conditioning devices are suitable controllable appliances for direct load control demand response, and lighting system as flexible loads for reduction and curtailment, they can play a key role in the scope of demand response programs. In this system, several real controller components manage the consumption of lighting system and air conditioning of the building based on an optimization model. In the case study of the paper, the SCADA system is considered as a player of an aggregation model, which is considered as demand response managing entity, and its performance during demand response events will be surveyed. The obtained results show that with adequate small reduction in the lighting system and air conditioning devices, the electricity customers are able to actively participate in the electricity markets using demand response programs and also for internal efficient use of electricity., The present work has been developed under the EUREKA - ITEA2 Project FUSE-IT (ITEA-13023), Project GREEDI (ANI|P202017822) co-funded by Portugal 2020 "Fundo Europeu de Desenvolvimento Regional" (FEDER) through PO CI, and UID/EEA/00760/2013

The use of demand response programs and distributed renewable energy resources are intensively discussed. These concepts play a key role in the distribution network, especially smart grids and microgrids. Nowadays, most of the implemented demand response programs are considered for large-scale resources, which make small and medium resources unable to participate in electricity market negotiations. In order to overcome this barrier, a third-party entity, namely an aggregator, can be considered as an intermediate player between the demand side and grid side. For this purpose, curtailment service provider is considered as an aggregator, which aggregates small and medium-scale resources, who do not have adequate capacity of reduction or generation and allow them to participate in wholesale electricity markets as a unique resource. However, before massive implementation of business models, the performance of the curtailment service provider should be adequately surveyed and validated in order to prevent future problems. This paper proposes a real-time simulation model of a curtailment service provider, which employs several real and laboratory hardware equipment considered as hardware-in-the-loop in the real-time simulator. Furthermore, an optimization problem is developed for a curtailment service provider in order to optimally schedule the available resources including several demand response programs and distributed renewable resources, aiming at minimizing its operation costs. The implemented case study considers a distribution network with 20 consumers and prosumers, and 26 renewable-based producers including wind and photovoltaic generation, where the developed model is performed in real-time for 12 min and behaviors of small and medium prosumers and producers is surveyed., The present work was done and funded in the scope of the following project: NetEfficity Project (P2020 - 18015), co-funded by Portugal 2020, Fundo Europeu de Desenvolvimento Regional (FEDER) through Programa Operacional Competitividade e Internacionalização (PO CI); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE pro-gram and by National Funds through FCT.

Power systems worldwide are complex and challenging environments. The increasing necessity for an adequate integration of renewable energy sources is resulting in a rising complexity in power systems operation. Multiagent based simulation platforms have proven to be a good option to study the several issues related to these systems. This paper presents an emulation of a laboratorial microgrid based on distributed control architecture. The proposed model contains real consumption and generation resources, including consumer load, photovoltaic, and wind turbine emulator. Also, a web-based graphical interface has been designed in order to monitor and control the microgrid. In this system, there are four main agents, which are connected by means of a communication network capable of sharing and exchanging information to achieve the overall system’s goal. The performance of the distributed architecture is demonstrated in order to observe the applicability of the agents and their collaboration abilities. The results of the paper show in practice that how a distributed control based microgrid manages its resources, and how it reacts if there is a fault or no activity on them.

Currently, the use of demand response programs and renewable energy resource are a reality in the power distribution network. Therefore, an efficient and optimal energy resource management is required for fully benefit from these new concepts of power system as well as avoiding energy wasting. In this paper, a methodology is represented in order to support the aggregator activities, with the aim of participation in the electricity market negotiations using aggregated distributed energy resources and demand response programs. Moreover, the presented model demonstrates the benefits of aggregator participation while promoting their inclusion. Additionally, a case study will test and validate the proposed methodology, which considers a university campus distribution network as aggregator network including 20 consumers and 26 renewable producers., This work has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAMGO) and from FEDER Funds through COMPETE program and from National Funds through FCT, under the project UID/EEA/00760/2013.

Home management systems are evolving to enable a more adaptive model to the many consumer’s behaviors, such as, periods of more consumption, habits of appliance use, amongst others. In another perspective, there are processes that require a start-after and sequential operation of multiple appliances, which currently is not a feature that exists in many of the home management systems. The present paper proposes a model to formulate sequential appliances load shifting, such that, the respective processes that the consumer has are maintained implemented correctly. The case study considers multiple appliances that exist in a home, with a sampling of 15 minutes, which is important in order to better observe the appliances consumption cycles., The present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No. 641794); EUREKA - ITEA2 Project SEAS with project number 12004; AVIGAE Project (P2020 - 3401); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT.

Energy policies have been widely developed in the recent past as sequence of the increasing relevance of distributed energy resources potential in power systems, namely in achieving the reduction of carbon dioxide emissions gaining independence from fossil fuels. Thus, the main factions in the world, as North America and Europe, have been focusing on the implementation of new energy policies capable of managing several types of energy sources considering their decentralized characteristics. In this way, the present work provides an introduction of how the new energy policies, concerning distributed energy resources, are working towards the increase of these resources penetration in the energy mix. Some successful case studies are presented, namely from Europe, to assess the benefits of such policies to consumers, to producers and to energy market as a whole.

The need to increase the share of renewable energy resources in several countries around the world led to the development of new strategies, in order to implement more effective energy policies. These resources have a distributed nature and are one of the main paths to incentive the reduction of CO2 emissions, and their impact on the environment. Many countries are making efforts to advance in the implementation of their own strategies to achieve the fossil fuels independency. Therefore, the intent is to stipulate energy policies that increase renewable energy share in the energy mix. These policies depend on regulations, taxation, incentives and promotional schemes. In this paper, it is presented a brief introduction to the energy policies in two countries, Denmark and Finland. Demand Response (DR) aspects and its impact in the energy market are also discussed.

The need to increase the share of renewable energy resources in several countries around the world led to the development of new strategies, in order to implement more effective energy policies. These resources have a distributed nature and are one of the main paths to incentive the reduction of CO2 emissions, and their impact on the environment. Many countries are making efforts to advance in the implementation of their own strategies to achieve the fossil fuels independency. Therefore, the intent is to stipulate energy policies that increase renewable energy share in the energy mix. These policies depend on regulations, taxation, incentives and promotional schemes. In this paper, it is presented a brief introduction to the energy policies in two countries, Denmark and Finland. Demand Response (DR) aspects and its impact in the energy market are also discussed.

Distributed energy resources integration into energy markets and power systems operation has been one of the main concerns of operators and other entities, mainly because of the recent growth and the features that these resources can provide. The need for managing tools that provide solutions to these concerns is evident, and can be addressed through several ways. The present paper proposes a model for the integration of distributed energy resources into power systems operation using an aggregator. The management considers the aggregator’s perspective, and therefore, the objective is to minimize the costs of system balance. For this, it is proposed a re-scheduling of resources, i.e. after a first scheduling with individual prices the resources are clustered, and for each group, a tariff is defined and applied to each of the resources that belong to it, being then scheduled again considering the new group tariffs., The present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); EUREKA - ITEA2 Project SEAS with project number 12004; NETEFFICITY Project (P2020 - 18015); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT.

Power systems worldwide are complex and challenging environments. The increasing necessity for an adequate integration of renewable energy sources is resulting in a rising complexity in power systems operation. Multiagent based simulation platforms have proven to be a good option to study the several issues related to these systems. This paper presents an emulation of a laboratorial microgrid based on distributed control architecture. The proposed model contains real consumption and generation resources, including consumer load, photovoltaic, and wind turbine emulator. Also, a web-based graphical interface has been designed in order to monitor and control the microgrid. In this system, there are four main agents, which are connected by means of a communication network capable of sharing and exchanging information to achieve the overall system’s goal. The performance of the distributed architecture is demonstrated in order to observe the applicability of the agents and their collaboration abilities. The results of the paper show in practice that how a distributed control based microgrid manages its resources, and how it reacts if there is a fault or no activity on them., This work has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAMGO) and from FEDER Funds through COMPETE program and from National Funds through FCT, under the project UID/EEA/00760/2013.

Energy policies have been widely developed in the recent past as sequence of the increasing relevance of distributed energy resources potential in power systems, namely in achieving the reduction of carbon dioxide emissions gaining independence from fossil fuels. Thus, the main factions in the world, as North America and Europe, have been focusing on the implementation of new energy policies capable of managing several types of energy sources considering their decentralized characteristics. In this way, the present work provides an introduction of how the new energy policies, concerning distributed energy resources, are working towards the increase of these resources penetration in the energy mix. Some successful case studies are presented, namely from Europe, to assess the benefits of such policies to consumers, to producers and to energy market as a whole.

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