周金辉,徐琛,葛晓慧,张维桐,陈健
ZHOU Jinhui,XU Chen,GE Xiaohui,ZHANG Weitong,CHEN Jian

• 1:国网浙江省电力公司电力科学研究院
• 2:山东大学电气工程学院

摘要(Abstract)：

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, photovoltaic(PV), battery energy storage system(BESS), thermal energy storage system as well as thermoelectric loads are established. In addition, an optimal dispatching model considering day-ahead scheduling and real 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 effectiveness and correctness of the proposed method.

关键词(KeyWords)： 热电联供;分布式发电;模型预测控制;优化调度
combined heat and power(CHP);distributed generation;model predictive control(MPC);op timal scheduling

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51507094)

作者(Author): 周金辉,徐琛,葛晓慧,张维桐,陈健
ZHOU Jinhui,XU Chen,GE Xiaohui,ZHANG Weitong,CHEN Jian

DOI: 10.19585/j.zjdl.201705007

参考文献(References)：

• [1]GHADIMI P,KARA S,KORNFELD B.The optimal selection of on-site CHP systems through integrated sizing and ope-rational strategy[J].Applied Energy,2014(126):38-46.
• [2]王成山,武震,李鹏.微电网关键技术研究[J].电工技术学报,2014,29(2):1-12.
• [3]FRESCHI F,GIACCONE L,LAZZERONI P,et al.Economic and environmental analysis of a trigeneration system for food-industry:A case study[J].Applied Energy,2013(107):157-172.
• [4]BENAM M R,MADANI S S,ALAVI S M,et al.Optimal confi-guration of the CHP system using stochastic programm-ing[J].IEEE Transactions on Power Delivery,2015,30(3):1048-1056.
• [5]张新昌,周逢权.智能电网引领智能家居及能源消费革新[J].电力系统保护与控制,2014,42(5):59-67.
• [6]HASHEMI R.A Developed offline model for optimal oper-ation of combined heating and cooling and power systems[J].IEEE Transactions on Energy Conversion,2009,24(1):222-229.
• [7]王成山,洪博文,郭力,等.冷热电联供微网优化调度通用建模方法[J].中国电机工程学报,2013,33(31):26-33.
• [8]熊焰,吴杰康,王强,等.风光气储互补发电的冷热电联供优化协调模型及求解方法[J].中国电机工程学报,2015,35(14):3616-3625.
• [9]周念成,邓浩,王强钢,等.光伏与微型燃气轮机混合微网能量管理研究[J].电工技术学报,2012,27(1):74-84.
• [10]BAO Z,ZHOU Q,YANG Z,et al.A multi time-scale and multi energy-type coordinated microgrid scheduling solu tion—Part I model and methodology[J].IEEE Transactionson Power System,2015,30(5):2257-2266.
• [11]BAO Z,ZHOU Q,YANG Z,et al.A multi time-scale and multi energy-type coordinated microgrid scheduling solution PartⅡ:optimization algorithm and case studies[J].IEEE Transactions on Power System,2015,30(5):2267-2277.
• [12]刘向杰,孔小兵.电力工业复杂系统模型预测控制—现状与发展[J].中国电机工程学报,2013,33(5):79-85.
• [13]PARISIO A,RIKOS E,GLIELMO L.A model predictive control approach to microgrid operation optimization[J].IEEE Transactions on Control Systems Technology,2014,22(5):1813-1827.
• [14]MEIBOM P,BARTH R,HASCHE B,et al.Stochastic optimizat-ion model to study the operational impacts of high wind penetrations in Ireland[J].IEEE Transactions on Power System,2011,26(3):1367-1379.
• [15]蔡宇,林今,宋永华,等.基于模型预测控制的主动配电网电压控制[J].电工技术学报,2015,30(23):42-49.
• [16]陈健,王成山,赵波,等.考虑储能系统特性的独立微电网系统经济运行优化[J].电力系统自动化,2012,36(20):25-31.
• [17]ZHAO C,GUAN Y.Unified stochastic and robust unit com-mitment[J].IEEE Transactions on Power Systems,2013,28(3):3353-3361.
• [18]DUFO-LOPEZ R,BERNAL-AGUSTIN J L.Multi-objec-tive desi-gn of PV-wind-diesel-hydrogen-battery systems[J].Ren-ewable energy,2008,33(12):2559-2572.
• [19]ROSSI F,VAN BEEK P,WALSH T.Handbook of constraint programming[M].Amsterdam:Elsevier,2006.
• [20]SHAW P.Using constraint programming and local search methods to solve vehicle routing problems[M].Princi-ples and Practice of Constraint Programming-CP98,Springer Berlin Heidelberg,1998.
• [21]WINSTON W L,GOLDBERG J B.Operations research:applica-tions and algorithms[M].Boston:Duxbury press,2004.
• [22]毛晓明,陈深,吴杰康,等.分时电价机制下含蓄电池微网的优化调度[J].电网技术,2015,39(5):1192-1197.
• [23]柯人观,周金辉,汪东辉.微电网规划体系研究[J].浙江电力,2016,35(2):23-26.
• [24]吴昊,许跃进,殷德聪,等.计及气象因素的分布式电源在配电网的优化配置[J].浙江电力,2015,34(12):1-6.