基于改进粒子群算法的区域综合能源优化调度方法

Regional Integrated Energy Optimal Scheduling Method Based on Improved Particle Swarm Optimization Algorithm

针对目前区域综合能源优化调度方法调度能耗和负荷过高的问题,基于改进粒子群算法提出一种新的区域综合能源优化调度方法。通过电网、风电、光伏和天然气建立区域综合能源系统,利用P2G设备处理信息,完成储电、储气和储热工作。计算区域综合能源系统的目标收益和最终能源采购总价得到目标函数,以天然气汽锅释放的热量功率、天然气发动机的热功率、电热锅的热功率和电锅炉的输出功率模型确定约束条件。利用改进粒子群算法得到隶属度函数,依次排列每个目标函数的关键水平,建立目标矩阵,实现区域综合能源层次分析,根据粒子合理性函数进行单次优化,完成能源优化调度。实验结果表明:基于改进粒子群算法的区域综合能源优化调度方法的最高能耗仅为48.7%,调度负荷低于60.0%,具有极好的调度能力。

Aiming at regional integrated scheduling method’s higher energy consumption and load,an improved PSO algorithm-based regional integrated energy optimization scheduling method was proposed and a regional integrated energy system was established basing on the grid,wind power,photovoltaic and natural gas,including making use of P2G equipment to process the information and store the electricity,gas and heat energies.In addition,through calculating target revenue of the regional integrated energy system and the final total energy purchase price,the objective function was obtained,which has the constraints determined by the heat power released by the gas boiler,the heat power of the gas engine,both the heat power and the output power of the electric boiler;meanwhile,the membership function was obtained by using the PSO algorithm improved,and the key level of each objective function was arranged in turn to establish the objective matrix so as to realize regional comprehensive energy hierarchy analysis and to implement the single optimization according to the particle rationality function so as to complete energy optimization scheduling.The experimental results show that,this method’s highest energy consumption based on PSO algorithm improved is only 48.7%,and the scheduling load is less than 60.0%,which has excellent scheduling ability.