新型负荷接入环境下的配电网分布式电源规划

Distributed Generation Allocation in Distribution Network with New-type Loads

随着电动汽车以及储能技术的不断成熟,电动汽车及储能设备等新型负荷的不确定性给分布式电源接入配电网的规划工作带来了新的挑战。基于机会约束,建立了一种考虑新型负荷特性的配电网分布式电源规划模型,该模型既包括电动汽车与储能设备等新型负荷,也包括分布式风电、光伏发电等典型分布式电源,并应用概率潮流和遗传算法对模型进行求解。对IEEE33节点测试系统的测试结果表明,接入新型负荷后系统不确定性增强、总体收益有所下降,验证了所建立的电源规划模型处理负荷及分布式电源不确定性问题的可行性。

With the development of electric vehicle（EV）industry and the increasing maturity of energy storage technology,the uncertainty brought by the EV,energy storage and other new-type loads have brought new challenge for distribution power sources integrated into the planning of distributed networks.This paper constructed a new distributed generation（DG）allocation model which considered new-type loads like EV and energy storage facility,as well as the distributed wind turbine and the distributed photovoltaic unit.The chance-constrained planning model was solved by the probabilistic power flow and genetic algorithm.The IEEE 33 bus system was taken as a practical case.The results indicate that the uncertainty of distribution network brought by new type loads is enhanced and the total profit is reduced.The effectiveness of the proposed model for handling the uncertain problem of DG and new-type loads is verified.