计及源荷不确定性和多类储能响应的园区IES多目标优化调度模型

Multi-objective optimal scheduling model for IES in parks considering source and load uncertainties and multiple type of energy storage responses

考虑综合能源系统形态与运行特点的变化,提出一种计及源荷不确定性和多类储能需求响应的综合能源系统多目标调度模型。首先,建立综合能源系统分布式风电和电热气负荷不确定模型以及确定电、气、热多类储能激励和价格需求响应模型;其次,以电、气能源购买、弃风和环境污染成本等多目标函数优化,在源荷侧不确定性和多类储能需求响应下,考虑多类能源功率平衡、冷热电系统之间转化耦合等约束条件,建立综合能源系统源荷储多目标优化调度模型,并采用多目标粒子群优化算法(PSO)对所构建模型优化求解;最后,采用园区能源系统算例对文中模型进行仿真,结果表明其正确有效,该模型可为园区综合能源源荷储需求互济服务提供新的策略。

The construction and component of integrated energy system has changed with fast development of new energy emergence.Under the background,a multi-objective scheduling model is proposed which takes into account source and load uncertainty and multiple types of energy storage demand response.Firstly,an uncertain model of distributed wind power and electric heating gas load is established.The multiple types of energy storage incentives and price demand response models of electricity,gas and heat are then determined.Secondly,the purchase cost of electricity and gas energy,the cost of abandoning wind and the cost of environmental pollution are chosen as the objective of multi-objective optimization.Under the uncertainty of source&load side and the response of multiple types of energy storage demand,the constraints of multiple types of energy power balance,conversion and coupling between cooling and heating systems are considered to establish a source,grid and storage multi-objective optimal scheduling model for integrated energy system.Then the multi-objective Particle Swarm Optimization algorithm is utilized to optimize the constructed model.Finally,a park energy system is simulated.The results show that the proposed optimization is effective.The model can provide a new strategy for the mutual energy service of the park's comprehensive energy source storage and demand.