关键词: 大规模风电并网, 改进人工鱼群算法, 电压波动, 无功电压优化

Abstract: Large-scale wind power fluctuations and randomness have significant impact on the initial values of reactive power and voltage optimization, and, as a result, the solution process of reactive power optimization cannot take full account of the voltage-limit nodes with a rather premature convergence and cannot be the optimal solution. So, an improved artificial fish swarm algorithm(AFSA) is proposed to solve the var optimization problem of a gird with integration of large scale wind power. In the initial stage of algorithm process, the mutation mechanism is introduced to regulate the artificial fish-swarm. Meanwhile, in the later stage, the self-adaptive VISUAL and STEP are used to avoid the problems of local optimal solution and slow convergence which are common in the later computation stage. Finally, the GANSU grid is used for case study, which proves the feasibility and effectiveness of the proposed algorithm.

Key words: large-scale wind power, improved artificial fish swarm algorithm, voltage fluctuations, reactive power and voltage optimization