考虑共享电池站和温控负荷响应的综合能源系统优化调度

Optimal scheduling of integrated energy system considering response of shared battery station and thermostatically controlled loads

针对区域综合能源系统协同优化调度问题,构建基于能量枢纽(energy hub,EH)的分层能量管理框架,充分考虑新能源电厂、气-电、电-气能源转换装置调节能力,以共享电池站(shared battery station,SBS)替代传统储能电站,为能源系统提供电能存储功能,采用温控负荷为能源系统提供需求侧响应,保障异质能源供需实时平衡.基于区域能源系统相关数据及美国PJM电力市场数据,构建考虑多元分布式设备的区域综合能源系统成本函数,采用遗传算法求解该混合整数规划问题.仿真结果表明,在所提出的能量管理框架下,可以实现综合能源系统的供需动态平衡,保障系统的高效经济运行.

Aiming at the optimal scheduling problem of integrated energy systems,this paper proposes a hierarchical energy management framework based on energy hubs,which fully considers the adjustment effect of new energy power plants,gas-electricity and electricity-gas energy conversion devices.The traditional energy storage stations are replaced with shared battery stations to provide energy storage function.For guaranteeing real-time energy balance between supply and demand,the temperature control load is used to provide demand response.Based on regional energy system data and PJM power market data,the cost function of the regional integrated energy system is established considering multi-distributed equipments.The genetic algorithm is used to solve the mixed integer programming problem.The simulation results show that under the proposed energy management framework,the comprehensive utilization efficiency of energy can be improved and the integrated energy system runs efficiently and economically.