中文摘要：

目前分布式风电（distributed wind generation．DWG）、光伏电池（photovoltaic，PV）等间歇性分布式电源（distributed generation，DG）优化配置对象单一而难以全面反映问歇性DG优化配置的综合效益，且不宣采用确定性的变量和约束来处理间歇性DG出力不确定性和波动性的问题，针对此状况，采用机会约束规划方法，基于随机潮流计算结果，建立2层优化配置模型，对间歇性DG和补偿电容进行综合优化配置，并选择带精英策略的遗传算法进行优化求解。算例结果表明，补偿电容的优化投切效益会影响间歇性DG和补偿电容的优化配置，而补偿电容的配置容量及其最大日允许投切次数、问歇性DG出力和负荷功率期望值的季节性变化对补偿电容的优化投切效益均有显著的影响。2层优化配置的最优方案在兼顾间歇性DG和补偿电容的规划经济效益与补偿电容优化投切效益的同时，还可利用补偿电容进一步改善系统的电压质量，从而获得经济效益与电压质量的综合最优，算例分析结果验证了该模型的有效性和合理性。

英文摘要：

The optimal allocation of current distributed generations （DG） such as distributed wind generation （DWG） and photovoltaic （PV） is usually single-object oriented, as a result, it is hard to reflect overall benefits of intermittent DGs＇ optimal allocation. And it is also inappropriate to use fixed variables and constraints to handle the uncertainty and fluctuation of DGs power output. Aiming to solve the problems, based on the calculation of probabilistic power flow, a bilevel optimal allocation model was established with opportunity-constrained planning method to carry out comprehensive optimal allocation of intermittent DGs and compensation capacitors. And genetic algorithm with elitist strategy was used for the optimal solution. Results of the example demonstrated that optimized operational benefit of compensation capacitors would affect the optimal allocation of DGs and compensation capacitors, and it would be remarkably influenced by compensation capacitors＇ capacity, maximum daily allowable number of switching operations, seasonal change of the expectation of DGs＇ output and load power. The optimal scheme of the bilevel planning model considers planning economic benefits of compensation capacitors and DGs, and the optimized operational benefit of compensation capacitors while improving the system voltage quality, thus achieving comprehensive optima of economic benefit and voltage quality. The results of case studies verified the validity and rationality of the model.