基于改进粒子群算法的冷热电联供型微网系统优化运行研究

Research on Optimal Operation of CCHP Microgrid Based on Improved Particle Swarm Optimization

为了避免传统的冷热电联供型微网系统(combined cooling heating and power Microgrid, CCHP Microgrid)仅以经济成本或环境成本为目标的运行策略造成的无法对系统整体进行优化的不足,本文以微网的经济成本和环境成本为目标,构建含燃气轮机、燃气锅炉、电制冷机、风光等机组的冷热电联供型微网系统简化模型并建立相应的约束条件,并采用改进粒子群算法,对多约束条件目标求解进行优化。然后通过算例对所提的优化调度策略进行了仿真验证,验证了控制策略的有效性。

In order to avoid the shortage of the traditional micro grid system of combined cooling, heating and power generation,which is unable to optimize the whole system due to the operation strategy only aiming at economic cost or environmental cost, this paper aims at the economic cost and environmental cost of the micro grid, and constructs a simplified model of the micro grid system of combined cooling, heating and power generation including gas turbines, gas fired boilers, electric refrigerators, wind turbines and other units, and establishes the corresponding constraints, The improved particle swarm optimization algorithm is used to optimize the multi constraint objective solution. Then, the proposed optimal scheduling strategy is simulated by an example to verify the effectiveness of the control strategy.