Voltage profile improvement in distribution networks using the whale optimization algorithm

Neagu, Bogdan-Constantin; Ivanov, Ovidiu; Gavrilaș, Mihai

doi:10.1109/ecai.2017.8166465

Cited by 9 publications

(3 citation statements)

References 17 publications

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“…Many OSs use shunt capacitor switching to modify PS's reactive power flows and so the OSs optimize the PS. Such OSs are presented in [77][78][79][80][81][82]. OS in [83,84] optimize reactive power flows in a PS by changing the taps of on-load tap changers in transformers.…”

Section: Ps Oss Controlling a Special Ps Action Hardwarementioning

confidence: 99%

Review of Trends and Targets of Complex Systems for Power System Optimization

Vysocky

Mišák

2020

Energies

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Optimization systems (OSs) allow operators of electrical power systems (PS) to optimally operate PSs and to also create optimal PS development plans. The inclusion of OSs in the PS is a big trend nowadays, and the demand for PS optimization tools and PS-OSs experts is growing. The aim of this review is to define the current dynamics and trends in PS optimization research and to present several papers that clearly and comprehensively describe PS OSs with characteristics corresponding to the identified current main trends in this research area. The current dynamics and trends of the research area were defined on the basis of the results of an analysis of the database of 255 PS-OS-presenting papers published from December 2015 to July 2019. Eleven main characteristics of the current PS OSs were identified. The results of the statistical analyses give four characteristics of PS OSs which are currently the most frequently presented in research papers: OSs for minimizing the price of electricity/OSs reducing PS operation costs, OSs for optimizing the operation of renewable energy sources, OSs for regulating the power consumption during the optimization process, and OSs for regulating the energy storage systems operation during the optimization process. Finally, individual identified characteristics of the current PS OSs are briefly described. In the analysis, all PS OSs presented in the observed time period were analyzed regardless of the part of the PS for which the operation was optimized by the PS OS, the voltage level of the optimized PS part, or the optimization goal of the PS OS.

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Section: Ps Oss Controlling a Special Ps Action Hardwarementioning

confidence: 99%

Review of Trends and Targets of Complex Systems for Power System Optimization

Vysocky

Mišák

2020

Energies

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“…Among the various metaheuristic algorithms available in the literature, those from Table 2 were chosen taking into account the following reasoning: the genetic algorithm and the particle swarm optimization are the best known and widely used metaheuristics, with numerous applications in power systems, which makes them a valid basis for comparison. The bat algorithm and the whale optimization algorithm are newer algorithms, previously used by the authors in solving similar optimization problems and shown to improve the quality of the results, compared with GA and PSO [35,36]. On the other hand, the sperm whale algorithm is a novelty in solving optimization problems in the power systems field.…”

Section: Algorithm Main Stepsmentioning

confidence: 99%

Optimal Capacitor Bank Allocation in Electricity Distribution Networks Using Metaheuristic Algorithms

et al. 2019

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Energy losses and bus voltage levels are key parameters in the operation of electricity distribution networks (EDN), in traditional operating conditions or in modern microgrids with renewable and distributed generation sources. Smart grids are set to bring hardware and software tools to improve the operation of electrical networks, using state-of the art demand management at home or system level and advanced network reconfiguration tools. However, for economic reasons, many network operators will still have to resort to low-cost management solutions, such as bus reactive power compensation using optimally placed capacitor banks. This paper approaches the problem of power and energy loss minimization by optimal allocation of capacitor banks (CB) in medium voltage (MV) EDN buses. A comparison is made between five metaheuristic algorithms used for this purpose: the well-established Genetic Algorithm (GA); Particle Swarm Optimization (PSO); and three newer metaheuristics, the Bat Optimization Algorithm (BOA), the Whale Optimization Algorithm (WOA) and the Sperm-Whale Algorithm (SWA). The algorithms are tested on the IEEE 33-bus system and on a real 215-bus EDN from Romania. The newest SWA algorithm gives the best results, for both test systems.

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“…Improvement in accuracy and speed to track global maximum power point (GMPP) [45] Optimal capacitor allocation in distribution system Enhanced voltage profile, reduced power loss deliberates the results and discussions. Finally, the conclusion is given in Section 5.…”

Section: Introductionmentioning

confidence: 99%

A Novel Residential Energy Management System Based on Sequential Whale Optimization Algorithm and Fuzzy Logic

Nethravathi¹,

Murali²

2021

DGAEJ

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Demand side management has become inevitable in today’s smart gridenvironment to balance electricity supply and demand. Many methodolo-gies/algorithms have been developed for realizing and implementing thistechnique at different levels of distribution systems. Advanced meteringinfrastructure and the latest communication technologies have empow-ered residential consumers to participate in the demand side managementschemes. After careful investigations and analyses, the authors of this paperhave made a decisive effort to propose a novel sequential strategy for devel-oping an energy management system for scheduling loads of residentialconsumers. The proposed work aims at a fuzzy logic and an evolutionaryalgorithm-based approach of demand side management that considers theusers’ preference of operating time of the appliances at the residence of theirchoice, which has not been addressed earlier. This approach reduces the peakdemand and cuts the cost of electricity per billing period for a consumer. This study also encourages the consumers to install solar rooftop PV systemsby indicating the cost beneﬁts reaped over a more extended period. Theproposed framework is implemented in MATLAB, and the case studies provethe effectiveness of using this algorithm from the consumers’ perspective

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Voltage profile improvement in distribution networks using the whale optimization algorithm

Cited by 9 publications

References 17 publications

Review of Trends and Targets of Complex Systems for Power System Optimization

Review of Trends and Targets of Complex Systems for Power System Optimization

Optimal Capacitor Bank Allocation in Electricity Distribution Networks Using Metaheuristic Algorithms

A Novel Residential Energy Management System Based on Sequential Whale Optimization Algorithm and Fuzzy Logic

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