Search

Hybrid Active Power Filter (HAPF) imbibes the advantages of both passive and active power filters. These filters are considered one of the important technologies for mitigating harmonic pollution in electrical systems. Accurate estimation of filter parameters is a key component to reduce harmonic pollution effectively. In recent years, several optimization approaches have been reported to solve this estimation problem; still, this area is worthy of further investigation. This paper is a proposal for an estimator that can estimate the parameter of HAPF configuration accurately. For evolving this estimator, first, an objective function that mathematically embeds filter parameters and harmonic pollution is presented. For handling the optimization process, an Amended Crow Search Algorithm (ACSA) is proposed. ACSA employs a local search algorithm (in the form of a pattern search) for obtaining optimal results. The analysis of the estimation process is carried out on two HAPF configurations. Various analyses that include harmonic pollution statistical analysis along with fitness function value analysis reveal that the proposed algorithm acquires optimal results as compared with other recently published and reported algorithms. Further, the proposed filter configurations are tested with the existing filter. The results prove that the proposed filter shows promising results. [ABSTRACT FROM AUTHOR]

Transmission system of the Rajasthan state, India is used to transfer power from the centralized generating stations to load centers. There is a thermal complex in the Kota region which includes four thermal power stations (TPS). These are Kawai Super Critical TPS (SCTPS), Chhabra TPS, Chhabra SCTPS, and Kalisindh TPS. Existing transmission system is not sufficient to evacuate power from this thermal complex during the contingency conditions. Hence, restructuring of the existing power network is required to mitigate the power evacuation constraints from this thermal complex. This research presents an optimized design for the restructuring of the transmission network associated with this thermal complex to mitigate power evacuation constraints. This is achieved by analysing the various possible options of the creation of various 400/220 kV GSS or 220/132 kV GSS in the region. Research also considered replacement of the existing ICTs at the thermal power stations by ICTs of higher ratings. The strength of the proposed restructured power system network is tested during various contingency conditions so that the power system network always takes care of power evacuation from the thermal complex and avoids the requirement of backing down the generation. Modified network is tested using the load flow study as well as a short circuit study. Results of these studies established that creation of 400/220 kV GSS at Sangod will be technically most feasible, effective and sufficient to mitigate the power evacuation constraints associated with the thermal complex. The study is performed using the MiPower software. [ABSTRACT FROM AUTHOR]

The power system is a complex interconnected network which can be subdivided into three components: generation, distribution, and transmission. Capacitors of specific sizes are placed in the distribution network so that losses in transmission and distribution is minimum. But the decision of size and position of capacitors in this network is a complex optimization problem. In this paper, Limaçon curve inspired local search strategy (LLS) is proposed and incorporated into spider monkey optimization (SMO) algorithm to deal optimal placement and the sizing problem of capacitors. The proposed strategy is named as Limaçon inspired SMO (LSMO) algorithm. In the proposed local search strategy, the Limaçon curve equation is modified by incorporating the persistence and social learning components of SMO algorithm. The performance of LSMO is tested over 25 benchmark functions. Further, it is applied to solve optimal capacitor placement and sizing problem in IEEE-14, 30 and 33 test bus systems with the proper allocation of 3 and 5-capacitors. The reported results are compared with a network without a capacitor (un-capacitor) and other existing methods. [ABSTRACT FROM AUTHOR]

The nature-inspired algorithms (NIAs) have shown efficiency to solve many complex real-world optimisation problems. The efficiency of NIAs is measured by their ability to find adequate results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This paper presents a solution for lower order system modelling using spider monkey optimisation (SMO) algorithm to obtain a better approximation for lower order systems and reflects almost original higher order system's characteristics. Further, a local search strategy, namely, power law-based local search is incorporated with SMO. The proposed strategy is named as power law-based local search in SMO (PLSMO). The efficiency, accuracy and reliability of the proposed algorithm is tested over 20 well-known benchmark functions. Then, the PLSMO algorithm is applied to solve the lower order system modelling problem. [ABSTRACT FROM AUTHOR]

The exponential increase in demand for electricity in recent years has lead to fast exhaustion of conventional fossils fuels like; natural gas, coal, and oil. Thus it is imperative to move towards non conventional energy sources like; solar, biomass, hydro, and wind. Wind energy is considered as an environmental friendly, technologically developed, and cheap source of energy, among other available renewable sources. The main objective of this work is to investigate the impact of wind penetration on power system dynamics especially related to stability. This paper presents stability (voltage, small, and dynamic) analysis with Doubly Fed Induction Generator (DFIG) based wind turbines. For this purpose, standard benchmark IEEE 14 bus system has been selected. Conventional synchronous generator is replaced by DFIG based wind turbines. The different scenarios have been simulated in MATLAB based toolbox PSAT. The PV curves, eigen value and time domain analysis have been performed to understand the impact of integration of DFIG based wind turbines on power system stability. [ABSTRACT FROM AUTHOR]

The demand for electricity has grown at much faster rate than any other type of energy in recent years, and will continue to grow exponentially. The excessive demand for electricity is leading to fast depletion of conventional fossils fuels like; natural gas, coal, and oil. This necessitates the need to shift towards renewable energy sources like; solar, biogas and wind. Wind energy is seen as an ecological friendly and sustainable energy source, among other available renewable sources. The offshore wind farm capacity is growing rapidly, but it's uncertain and intermittent nature offers great challenges to utilities. This requires high-speed and robust communication network for the monitoring and controlling of wind farm. In this paper, we have proposed the communication network for medium size offshore wind farm (120MW). The wind farm consists of three groups; each group consists of 10 Wind Turbines (WTs), total capacity of 40 MW, connected in star configuration. The wind farm has been modelled in OPNET based on IEC 61400-25 standard. The performance of the wind farm communication network based on Transmission Control Protocol/ Internet Protocol (TCP/IP) has been evaluated. [ABSTRACT FROM AUTHOR]