Study on Optimal Power Flow for AC/DC Hybrid System Incorporating MMC-HVDC Based on MOEA/D
Wang Haoxiang1, Zhao Dongmei1, Tao Ran1, Du Gang1, Tan Long2
1. School of Electrical and Electronic Engineering North China Electric Power University Beijing 102206 China 2. State Grid Heilongjiang Electric Power Company Limited Electric Power Research Institute Harbin 150000 China
Abstract To coordinate system economy and voltage quality, a new multi-objective optimal power flow algorithm based on multi-objective evolutionary algorithm based on decomposition (MOEA/D) was proposed for AC/DC hybrid system incorporating MMC-HVDC. Firstly, based on the general model of MMC converter stations that consider the losses of the converter, the optimal power flow mathematical model of DC power flow controller(DCPFC) containing AC/DC hybrid system with the target functions for network losses and voltage deviations was established. The calculation formula of the Jacobian matrix at the droop control of the DC grid MMC converter stations with DCPFC was derived. Next, the MOEA/D was used to optimize the AC/DC model to obtain the optimal solution set of Pareto and compared with non-dominated sorting genetic algorithm-2(NSGA-2). Finally, according to the entropy weight method (EWM), the optimization results were supported in decision and the best compromise solution was selected. The IEEE multi-node systems were used to compare the calculation results of the two-terminal and three-terminal MMC converter stations under different control modes, which verifies the effectiveness of the method.
Wang Haoxiang,Zhao Dongmei,Tao Ran等. Study on Optimal Power Flow for AC/DC Hybrid System Incorporating MMC-HVDC Based on MOEA/D[J]. Transactions of China Electrotechnical Society, 2020, 35(17): 3691-3702.
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2020, Vol. 35 
