Multi-Objective Hybrid Optimization Method for Coordinated Control of Reactive Power Compensation Devices among Multiple Substations in Large-Scale Power Systems
Dong Ping, Xu Liangde, Liu Mingbo, Qin Chuan
School of Electric Power Engineering South China University of Technology Guangzhou 510640 China
Abstract Multi-objective reactive power coordinated control model in large-scale power systems has the disadvantages such as the convergence difficulty, time consuming and sensitive to the initial value of discrete variables. A hybrid algorithm adopting subarea solving was presented in this paper to improve efficiency and stability of the solution. Firstly, good subareas in the objective function space of reactive power coordination control problem were searched by NSGA-II algorithm. Optimal solution set of each good subarea could be solved by NBI+GAMS method quickly and the Pareto front could be obtained by filtering all optimal solution sets. Multi-agent parallel technology was introduced to increase the genetic populations and speed up solution. The coordinated results of 22 500kV substations in large power grid verify the quickness and the effectiveness of the proposed hybrid algorithm. Compared with the NSGA-II algorithm, the hybrid algorithm has better convergence speed and distribution of the Pareto solution sets.
Dong Ping,Xu Liangde,Liu Mingbo等. Multi-Objective Hybrid Optimization Method for Coordinated Control of Reactive Power Compensation Devices among Multiple Substations in Large-Scale Power Systems[J]. Transactions of China Electrotechnical Society, 2017, 32(2): 271-280.
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