A Survey on Computational Intelligence Applications in Distribution Network Optimization

被引:6
作者
Vukobratovic, Marko [1 ]
Maric, Predrag [2 ]
Horvat, Goran [1 ]
Balkic, Zoran [1 ]
Sucic, Stjepan [3 ]
机构
[1] Base58 Ltd, Osijek 31000, Croatia
[2] Fac Elect Engn Comp Sci & Informat Technol, Osijek 31000, Croatia
[3] Koncar Power Plant & Elect Tract Engn Inc, Zagreb 10000, Croatia
关键词
active distribution network; computational intelligence; optimization algorithms; optimal distribution system management; optimal Smart Grid management; advanced distribution system optimization; renewable distributed generation; Smart Grid optimization; PARTICLE SWARM OPTIMIZATION; DEMAND-SIDE MANAGEMENT; RENEWABLE ENERGY-SYSTEMS; OPTIMAL PLACEMENT; REACTIVE POWER; ELECTRICITY SYSTEMS; GENERATION SOURCES; SMART GRIDS; DG UNITS; ALGORITHM;
D O I
10.3390/electronics10111247
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper aims to present carefully selected scientific papers that have pushed the boundaries in the application of advanced computational intelligence-based methods in power engineering, mainly in optimal power system management. Contemporary development of the Smart Grid and detailed framework for power grid digitalization enabled the real and efficient application of advanced optimization algorithms presented in this paper. Papers that are not directly related to Smart Grid management are also considered, since they solve the partial challenges of planning and development with metaheuristic procedures, and according to the authors, they are highly applicable and represent a fundamental starting point for wider application. This paper covers papers and research whose results are reproducible and can be realized in production-grade software. The emphasis of the paper is on the considerate and impartial way of providing a concise overview of the methods for solving technical challenges within the accepted Smart Grid architecture. The paper is the result of many years of research and commitment to this field and represents the foundation for present research and development.
引用
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页数:38
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