配电网中分布式电源最大准入容量优化配置

Optimal Allocation of Maximum Distributed Generation Capacity in Distribution Network

研究了以分布式电源并网容量最大为目标的分布式电源优化规划问题。在并网容量、数量与位置三变量均未知的情形下,建立了以分布式电源并网容量最大为目标的优化配置模型,优化模型中引入了多组不同类型的约束来确保分布式电源并网后配电网的安全、稳定、经济运行,包括电压水平约束、旋转备用约束、线路功率约束、分布式电源投资运行总费用约束等。采用随机权重粒子群算法对模型进行求解,得到了分布式电源并网容量最大的优化配置方案。算例分析验证了本文模型及求解算法的可行性与有效性。

The optimal planning of distributed generation which intends to maximize the capacity penetration of grid-connected DGs is studied in this paper. Under the condition that the single capacity,number and position of distributed generation are uncertain,an optimal allocation model of maximum capacity of grid-connected DGs in distribution network is established. The model introduces different types of constraints to ensure the security,stability and economy of the planning,including voltage level constraint,spinning reserve constraint,line power constraint,the total cost of DGs constraint,etc. A random weight PSO algorithm is utilized to optimize the planning of DG and the optimal scheme is attained at last. Through the case analysis,the method is proved to be correct and effective.