基于模型预测控制的分布式热电联供系统优化调度  

Optimal Scheduling of Distributed CHP System Based on Model Predictive Control

作　　者：周金辉[1] 徐琛[1] 葛晓慧[1] 张维桐[2] 陈健[2] ZHOUJinhui XU Chen GE Xiaohui ZHANG Weitong CHEN Jian(State Grid Zhejiang Electric Power Research Institute,Hangzhou 310014, China School of Electrical Engineering,Shandong University,Jinan 250061, China)

机构地区：[1]国网浙江省电力公司电力科学研究院,杭州310014 [2]山东大学电气工程学院,济南250061

出　　处：《浙江电力》2017年第5期23-28,共6页Zhejiang Electric Power

基　　金：国家自然科学基金项目(51507094)

摘　　要：针对分布式热电联供系统优化运行问题,提出一种基于模型预测调度和模型预测控制的双层分布式热电联供系统优化调度模型和方法。建立了含微型燃气轮机、光伏、蓄电池储能系统、热储能系统以及热电负荷的分布式供能系统模型,提出了计及日前调度和实时调度的优化调度模型,以分布式供能系统运行成本最小、电网联络线功率调整、蓄电池功率波动最小和运行成本为目标,采用Matlab的工具箱Yalmip求解此优化调度问题,算例结果表明了所提模型和算法的有效性和正确性。To deal with the optimal operation problem of distributed combined heat and power （CHP） system, a two-level optimal scheduling model and method based on model predictive scheduling （MPS） and model predictive control （MPC） is proposed. The distributed CHP system models,including micro gas turbine, pho-tovoltaic （PV）,battery energy storage system （BESS）,thermal energy storage system as well as thermoelec-tric loads are established. In addition,an optimal dispatching model considering day-ahead scheduling and re-al time scheduling is proposed. With the purposes of minimum operation cost of distributed CHP system, power of grid connection line, battery fluctuation and operation cost, Yalmip, the optimization toolbox of MATLAB,is applied to solve the optimal scheduling problem. The results of case study verify the effective-ness and correctness of the proposed method.

关 键 词：热电联供 分布式发电 模型预测控制 优化调度 

分 类 号：TM73[电气工程—电力系统及自动化]