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出 处:《电力系统保护与控制》2010年第20期130-135,共6页Power System Protection and Control
基 金:教育部博士点基金项目(20070610109)
摘 要:根据风电机组各运行状态发生的概率,计算出风机有功输出的期望,来近似代替随机变化的输出功率。用最大、一般和最小负荷运行方式代替规划时期的运行状况。建立了最大负荷方式下电容器投资成本最小、节省电能损失费用和静态电压稳定性最大的多目标优化模型,运用NSGA-Ⅱ算法进行求解;一般及最小负荷方式下以节省电能损失费用最大为目标进行优化。三种运行方式通过补偿后节省的资金最多来协调,得出电容器的最优配置,实现整体最优。算例验证了模型和算法的可行性。The active power output of the wind power generators is calculated by the probability of running state,and the expectations of active power are used to replace the randomly changing output.Considering light,normal,and heavy load operation mode,the mathematical model has been established.In the heavy load operation mode,the multipurpose optimal model is proposed which aims to minimize the investment cost,maximize the level of static voltage stability and the savings in energy cost,the problem is solved by NSGA-Ⅱalgorithm.In the light and normal load operation mode,the optimal model is proposed which aims to maximize the savings in energy cost.The three operating modes are coordinated by the maximum savings when reactive power has been compensated,the optimum allocation of the capacitor is obtained,and the whole optimization is realized.An example verifies the feasibility of the model and the algorithm.
关 键 词:分布式发电 无功优化 风电机组 PARETO最优解 遗传算法
分 类 号:TM714.3[电气工程—电力系统及自动化]
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