基于一致性算法的“源-网-荷-储”协同优化方法

A “Source-Grid-Load-Storage”Cooperative Optimization Method Based on Consensus Algorithm

可再生能源和储能的大规模应用,使得电力系统逐步转变为"源-网-荷-储"多元复杂结构。为了充分利用弹性负荷的响应特性和储能的灵活性,基于多代理的电力系统"源-网-荷-储"协同优化变得日益重要。该文建立了"源-网-荷-储"的协同优化模型,并考虑了网络中的传输损耗。通过一致性算法的运用,协同优化模型得以高效求解。算例结果表明,协同优化模型可以促进可再生能源的消纳吸收,指导负荷积极响应电网调度;所采用的一致性算法在保证与粒子群算法具有相同求解精度的前提下,收敛速度更快。

The large-scale application of renewable energy and energy storage has made the power system gradually transform into a complex structure of ＂source-gird-load-storage ＂. In order to fully exploit the response characteristics of elastic load and the flexibility of energy storage,multi-agent based collaborative optimization of ＂source-gird-load-storage＂has become increasingly important. In this paper,a ＂source-gird-load-storage＂coordinated scheduling model is proposed,with the consideration of transmission loss. Consensus algorithm is adopted to solve the model. Numerical simulation results showthat the collaborative optimization model can improve the renewable energy consumption; the consensus algorithm rapidly gives the optimal solution and has the same precision with globally optimized particle swarm algorithm.