Diao Yinglong

Sequential control of capacitors and taps of distribution network with distributed generation

Capacitors and taps of MV distribution systems are usually discrete optimization objects, a control sequence is needed to respond to the randomness of renewable distributed generations (DG), and many existing algorithms are trapped into the dimension house. A control strategy is proposed to minimize network losses, switching costs, generation wastes of DGs and voltage deviation, a weighted sum method is used to reflect the preferences on the mutually conflicting control objectives. For the mixed integer nonlinear programming (MINLP) problems of capacitors and taps control, a cooperative particle swarm optimization (Co-PSO) method employing cooperative behavior to significantly improve the optimizing ability is used. Finally, the correctness, convergence and robustness of the proposed algorithm are verified by comparison against existing popular schemes through detailed simulations over 24h on the IEEE 13-bus unbalanced distribution system.