Cooperative control of DC grid power flow based on particle swarm optimization algorithm

Abstract

To maintain energy balance and voltage stability is the basic function for normal operation of DC grid. Analysis and comparison of several commonly used multi-point voltage control methods, a cooperative control strategy is proposed based on improved particle swarm optimization, considering economic performance and voltage quality in both. The method established on traditional multi-point voltage control, using fuzzy membership curve to transformed power loss and voltage deviation into a single optimization objective, then search the optimal stable operating point of grid by PSO algorithm with inertia weight. Finally, a six terminal dendriform DC grid system is simulated to contrast the proposed method to voltage droop control. Results verify the effectiveness and practicability of the proposed algorithm.

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Cite this paper

@article{Xianzheng2016CooperativeCO, title={Cooperative control of DC grid power flow based on particle swarm optimization algorithm}, author={Liu Xianzheng and Wang Xingcheng and Wen Jialiang and Wang Dan and Zhang Yong - Qiang}, journal={2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)}, year={2016}, pages={65-69} }