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中文摘要：
针对分布式发电在不同发展阶段可能存在不同的分布式电源（distributedgenerator，DG）投资主体，即配电运营商和用户，分别建立了考虑配电网运营商（distributionnetworkoperator，DNO）需求指标和用户需求指标的DG优化配置模型。针对不确定性对DG优化配置问题的影响，在建立相关概率模型的基础上，利用基于拉丁超立方抽样的蒙特卡罗模拟（LatinhypercubesamplingbasedMonteCarlosimulation，LHS—MC）方法进行目标函数计算。模型求解中，采用非劣排序遗传算法（nondominatedsortinggeneticalgorithm—II，NSGA．II）进行多目标优化计算。在获得不同模型下DG优化配置鲁棒解的基础上，提出一种整体化考虑DNO需求指标和用户需求指标的DG优化配置综合分析方法，使优化配置方案在整个发展阶段效益最优。采用33节点配电系统进行仿真，验证了所建DG优化配置模型和所提方法的有效性。
英文摘要：
In different development stages of distributed generation, there may exist different investment entities of the distributed generators （DGs）, namely the distribution network operators （DNOs） and the customers. Focusing on the characteristics of different entities, two optimal DG allocation models in perspective of the DNOs and the customers were established. To reduce the influences of uncertainty during the allocation optimization process, the Latin hypercube sampling based Monte Carlo simulation （LHS-MC） method was adopted in the objective function calculation and the nondominated sorting genetic algorithm-lI （NSGA-II） was applied to solving the multi-objective models. After obtaining the robust solutions of different models, an integrated method simultaneously considering the different requirements of DNOs and customers was proposed. The simulation was conducted on the 33-bus distribution system. The results validate the constructed models and the proposed methods.
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