中国电机工程学报Issue(31):34-42,9.
计及不确定性和多投资主体需求指标的分布式电源优化配置方法研究
Optimal Distributed Generator Allocation Method Considering Uncertainties and Requirements of Different Investment Entities
摘要
Abstract
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-II (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.关键词
分布式电源/优化配置/不确定性/多目标优化/配电网Key words
distributed generator (DG)/optimal allocation/uncertainty/multi-objective optimization/distribution network分类
信息技术与安全科学引用本文复制引用
江知瀚,陈金富..计及不确定性和多投资主体需求指标的分布式电源优化配置方法研究[J].中国电机工程学报,2013,(31):34-42,9.基金项目
国家重点基础研究发展计划项目(973项目)(2009CB 219701);国家自然科学基金项目(50937002)。The National Basic Research Program of China (973 Program)(2009CB219701) (973项目)
Project Supported by National Natural Science Foundation of China (NSFC)(50937002) (NSFC)