考虑网损及经济性的综合源-储优化及电池容量设计

Integrated Source-Storage Optimization and Battery Capacity Design Considering Network Loss and Economy

风电出力具有间歇性、不稳定性等特点,分布式风电往往难以独立满足负荷需求,且弃风率较高。为此,将风电、小水电与储能电池同时接入配电网中,以保证系统的稳定性及降低系统的弃风率。首先,以网损最小为目标计算得到风电和小水电的接入位置,并通过PSASP软件进行验证,再利用Matlab软件测出接入节点的电压偏移量。其次,先以网损最小为目标得到全钒液流电池(vanadium redox battery, VRB)的接入位置,再综合考虑总成本和弃风量构造多目标函数,采用改进的基于杂交的粒子群算法对函数进行优化得到VRB的最优容量。最后,运用IEEE 36节点系统和某地区实际的风电、水电数据来验证此方法的有效性。仿真结果表明,所提出的方法可降低风电的弃风率、维持系统的稳定性及满足用户的用电需求,同时可达到经济性要求。

Wind power output is characterized by intermittensity and instability, and distributed wind power is offen difficult to meet load demand independently, and the wind curtailment rate is high. Therefore, wind power, small hydropower and energy storage batteries are connected to the distribution network at the same time to ensure the stability of the system and reduce the wind curtailment rate of the system. Firstly, the access positions of wind power and small hydropower are calculated with the goal of minimizing the network loss, and verified by PSASP software. Then, the voltage offsets of access nodes are measured by Matlab software. Secondly, the access position of vanadium redox battery(VRB) is obtained with the goal of minimizing the network loss. Then, the multi-objective function is constructed by considering the total cost and air abandon volume. The optimized function is obtained by using the improved hybrid based particle swarm optimization algorithm. Finally, the IEEE 36-node system and the actual wind and hydropower farm data in a certain area are used to verify the effectiveness of the proposed method. The simulation results show that the proposed method can reduce the wind curtailment rate of wind power, maintain the stability of the system, meet the demand of users, and meet the economic requirements.