考虑风电随机性的微电网热电联合调度(英文)  

Combined Scheduling of Electricity and Heat in a Microgrid with Volatile Wind Power

作　　者：徐立中[1] 杨光亚 许昭[3] 董朝阳[3] J.ΦSTERGAARD 曹一家[5] 

机构地区：[1]浙江大学电气工程学院,浙江省杭州市310027 [2]Technical University of Denmark [3]香港理工大学电机工程学系 [4]Technica lUniversity of Denmark [5]湖南大学电气与信息工程学院,湖南省长沙市410082

出　　处：《电力系统自动化》2011年第9期53-60,66,共9页Automation of Electric Power Systems

基　　金：supported in part by Program for New Century Excellent Talents in University(No.NCET-08-0489);Hong Kong Polytechnic University Grants(#ZZ7Qand#ZV3E);National High Technology Research and Development Program of China(No.2009AA05Z221)

摘　　要：提出了一种微电网热电联合调度的优化模型,考虑了系统运行约束和风电出力的波动性。风电出力的随机性,通过场景生成和削减方法产生的不同场景表示。该模型以系统总运行费用最小为目标函数,同时通过罚函数,把考虑了微电网和大电网连接点处的功率波动引入目标函数,使得在系统总成本最小的同时减小了风电出力波动性对电网的影响。根据模型,在考虑风电波动的情况下,调度计划中发电机出力不随风电出力的波动而改变,系统只调整发电机以外的设备实现对风电波动的补偿。仿真结果表明了该模型对含风电的微电网优化调度的有效性。An optimization model is developed for scheduling electricity and heat production in a microgrid under a day-ahead market environment considering the operation constraints and the volatility of wind power generation.The model optimizes the total operation costs from energy and heating consumption,meanwhile considers the minimization of the actual flow deviation at the point of common coupling（PCC） from scheduled values.The stochastic nature of wind output is represented by different scenarios with the help of scenario generation and reduction techniques.The model is finally formulated into a mixed-integer programming（MIP） problem.Numerical simulations present the efficacy of the proposed model for day-ahead scheduling of a microgrid with wind penetration under the deregulated environment.

关 键 词：微电网 热电联产 风力发电 经济调度 随机优化 

分 类 号：TM73[电气工程—电力系统及自动化]