面向中低压配电网的分布式协同无功优化策略

分布式电源的大规模接入使得中低压配电网具备参与优化调度的能力,但分布式电源出力的随机性和潮流分布的复杂化为中低压配电网无功优化带来了新的挑战.考虑台区拓扑信息不全的现实问题和传统协同优化的局限性,文中提出面向中低压配电网的分布式协同无功优化策略.首先,对馈线和台区分别建立馈线物理模型和台区拟合模型.然后,利用主从分裂法对全局无功优化模型进行分解,并将不可控台区的潮流拟合模型引入馈线无功优化模型,从而充分调用馈线资源改善不可控台区各节点的电压质量,解决基于物理模型协同优化的局限性,提升协同无功优化水平.算例仿真结果验证了所提策略的有效性和优越性.

Distributed Cooperative Reactive Power Optimization Strategy for Medium- and Low-voltage Distribution Network

The large-scale interconnection of distributed generators (DGs) makes the medium- and low-voltage distribution network have the ability to participate in optimal dispatching, but the randomness of DG output and the complexity of power flow distribution bring new challenges to the reactive power optimization of medium- and low-voltage distribution networks. Considering the practical problem of incomplete station area topology information and the limitations of traditional cooperative optimization, a distributed cooperative reactive power optimization strategy for medium- and low-voltage distribution networks is proposed in this paper. Firstly, the feeder physical model and station area fitting model are established for the feeder and station area respectively. Then, the master-slave splitting method is used to decompose the global reactive power optimization model, and the power flow fitting model of uncontrollable station area is introduced into the feeder reactive power optimization model, so as to make full use of feeder resources, improve the voltage quality of each node in the uncontrollable station area, solve the limitations of cooperative optimization based on physical model, and improve the level of cooperative reactive power optimization. The simulation results of an example verify the effectiveness and superiority of the proposed strategy.