摘要
考虑分布式电源出力以及负荷的不确定性,提出了一种基于机会约束规划的DG与配电网架综合协调规划方法。依据概率密度函数分别对不可控分布式电源和负荷建立了多状态模型,进而获得配电系统多状态模型。以分布式电源位置及容量、线路升级改造、新增负荷点接入为优化变量,以设备投资成本、系统有功损耗、停电损失及购电费用为目标函数,建立了基于机会约束规划的DG与配电网架多目标协调规划模型。通过加权将多目标优化转化成单目标优化问题,采用染色体混合编码方式的遗传算法进行求解。算例仿真结果表明,基于机会约束规划对DG和配电网架进行综合协调规划,能够有效提升配电网的经济效益和供电可靠性,通过模型参数的灵敏度分析给出了置信水平的参考值和光伏单位造价对规划方案经济性的影响。
Considering the uncertainty of the distributed generation （DG） output and the load, a distribution network multi-objective coordinated planning incorporating DG is presented. According to the probability density function, multi-state models of wind generation, photovoltaic（PV） generation and load are established respectively, then the multi-state model of the distribution system can be proposed. A multi-objective coordinated planning model of distribution network with DG based on the chance constrained programming is put forward, which take the minimization of equipment investment costs, system power losses, interruption costs and power purchasing costs as objectives. The multi-objective optimization is converted into the single-objective optimization by weighting method. The decision variables such as DG position and capacity, rewiring and attending new load are optimized by genetic algorithm using hybrid coding. The example simulation results show that the economic and technical benefit are effectively improved by synthetical planning of DG and the distribution network on the basis of chance constrained programming, meanwhile the reference values of confidence level are given and the influences of PV unit cost on planning scheme are illustrated through sensitivity analyzing.
出处
《电工技术学报》
EI
CSCD
北大核心
2013年第10期346-354,共9页
Transactions of China Electrotechnical Society
基金
国家自然科学基金(51377162)
博士研究生科研创新专项(2013YJ008)
中央高校基本科研业务费专项资金(2012QJ084)资助项目
关键词
分布式发电
配电网架扩展规划
选址和定容
多目标优化
机会约束规划
多状态系统
Distributed generation, expansion planning of distribution network, siting and sizing, multi-objective optimization, chance constrained programming, multi-state systems
