考虑园区综合能源系统接入的主动配电网多目标优化调度  

Multi-objective Optimal Dispatching for Active Distribution Network Considering Park-level Integrated Energy System

作　　者：马燕峰[1] 谢家荣 赵书强[1] 王子建[1] 骆泽榕 MA Yanfeng;XIE Jiarong;ZHAO Shuqiang;WANG Zijian;LUO Zerong(Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province(North China Electric Power University),Baoding 071003,China)

机构地区：[1]河北省分布式储能与微网重点实验室(华北电力大学),河北省保定市071003

出　　处：《电力系统自动化》2022年第13期53-61,共9页Automation of Electric Power Systems

基　　金：国家重点研发计划资助项目(2017YFB0902200);国家电网公司科技项目(5228001700CW)。

摘　　要：冷热电能量耦合性日渐加强,实现多能源系统一体化运行优化是重点关注的问题。以园区综合能源系统接入主动配电网为背景,研究了园区综合能源系统和主动配电网的协调调度。首先,建立了以综合成本为优化目标的园区综合能源系统调度模型。其次,建立了含园区综合能源系统、分布式电源、储能设备、柔性负荷的主动配电网的多源协调调度模型,目标函数为调度成本、负荷曲线方差和可再生能源弃电量。再次,采用目标级联法结合粒子群算法对模型进行求解。最后,在改进IEEE 33节点系统进行算例分析,验证了模型和求解方法的有效性。The coupling of heating, cooling and power energy keeps increasing, and the integrated operation optimization of multienergy systems is a key concern. Under the background of park-level integrated energy system(PIES) connecting to the active distribution network, this paper studies the coordinated dispatching of the PIES and active distribution network. Firstly, a dispatching model of PIES is established, with integrative cost as the optimization objective. Secondly, a multi-source coordinated dispatching model of the active distribution network is established. The model contains PIES, distributed generators, energy storage equipment, and flexible loads. The objective functions are dispatching cost, variance of load curves and abandoned renewable energy power. Thirdly, the model is solved by using analytical target cascading method combined with the particle swarm algorithm. Finally, numerical test on the modified IEEE 33-bus system verifies the effectiveness of the model and solving method.

关 键 词：主动配电网 综合能源系统 优化调度 粒子群算法 

分 类 号：TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]