含电池储能系统的配电网短期有功优化

Short-Term Active Power Optimization in Distribution Network with Battery Storage System

将储能系统引入配电网中,参与配电网的调度计划,有利于提高分布式能源的利用效率和运行经济性。在对电池储能系统(battery storage system,BSS)建模的基础上,提出一种包含风机和BSS的配电网短期有功优化模型。考虑售购电价差异,实现了风电功率的最大化消纳、最小化配网购电成本;通过对BSS全寿命周期成本的考虑,对充放电切换次数进行限制,实现了BSS的经济运行。采用遗传算法和原对偶内点法结合的混合算法进行求解。通过对IEEE33节点标准算例进行测试,验证了所提模型及算法的有效性和可行性。

ABSTRACT：Energy storage systems have been introduced to distribution networks to participate in the active distribution network schedule,helping to improve the utilization efficiency and operating economy of distributed generations. In this paper, based on the modeling of battery storage system（BSS）,a new model containing wind turbines and BSSis proposed to solve dynamic active power optimization in an active distribution network. Considering differences between the selling and pur-chasing prices,this model can maximize the accommodation capability of wind power and minimize the cost of electricity purchasing;and based on the consideration of the life cycle cost of the BSS,the switching times of charging and dischar-ging can be limited to realize the economical operation of the BBS. The mixed algorithm of genetic algorithm and interior point method is used to solve the problem. Numerical tests with the IEEE 33-bus system show that the proposed model and method are effective and feasible.