基于线性规划的综合能源系统运行优化
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摘要
以浙江电网企业转型现代综合能源服务企业的具体战略与发展规划为研究背景,以综合能源系统运行优化为目标,提出一种综合能源系统标准化矩阵建模方法;从系统工程的视角出发,以能源转换设备之间的能量流作为状态变量来处理引入调度因子所导致的非线性问题,并通过图论将能源转换设备的拓扑和特性转换为矩阵形式,构建综合能源系统线性规划模型;以最小化运行维护成本为规划目标函数,以拓扑连接变量为决策变量,开展区域综合能源系统的最优运行规划研究,对某一区域典型冷、热、电三联供系统进行应用分析。结果表明:所提出的综合能源系统标准化建模方法简单高效,能根据不同综合能源服务应用场景,通过缩放矩阵,快速建立相应的线性规划模型,在确保计算准确性的同时克服了以往非线性规划模型计算耗时长的缺点。
Aiming at the research of operation optimization of the integrated energy service system,an integrated energy system standardized matrix modeling method was proposed. From the perspective of system engineering,the energy flow between energy conversion equipments was taken as a state variable to deal with the nonlinear problems caused by the introduction of scheduling factors. A linear programming model for the integrated energy system was constructed,by converting the topology and characteristics of energy conversion equipment into matrix form through graph theory. The study of the optimal operation planning of the regional integrated energy system was carried out,by taking the operation and maintenance costs as the objective function and the topological connection variables as decision variables. The application and analysis show that,the proposed standardized modeling method and operation optimization method of the integrated energy system in the paper is simple and efficient. According to different integrated energy service application scenarios,a corresponding linear programming model can be quickly established through matrix scaling. The proposed operation optimization method has better real-time performance compared with the existing nonlinear programming model while ensuring the calculating accuracy.
Aiming at the research of operation optimization of the integrated energy service system,an integrated energy system standardized matrix modeling method was proposed. From the perspective of system engineering,the energy flow between energy conversion equipments was taken as a state variable to deal with the nonlinear problems caused by the introduction of scheduling factors. A linear programming model for the integrated energy system was constructed,by converting the topology and characteristics of energy conversion equipment into matrix form through graph theory. The study of the optimal operation planning of the regional integrated energy system was carried out,by taking the operation and maintenance costs as the objective function and the topological connection variables as decision variables. The application and analysis show that,the proposed standardized modeling method and operation optimization method of the integrated energy system in the paper is simple and efficient. According to different integrated energy service application scenarios,a corresponding linear programming model can be quickly established through matrix scaling. The proposed operation optimization method has better real-time performance compared with the existing nonlinear programming model while ensuring the calculating accuracy.
引文
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[2]彭克,张聪,徐丙垠,等.多能协同综合能源系统示范工程现状与展望[J].电力自动化设备,2017,37(6):3-10.
[3] MARTIN L,RADAELLI L,BRUNNER H,et al. ELECTRA IRP appoarch to voltage and frequency control for future power systems with high DER penetration[C]//23rd International Conference on Electricity Distribution CIRED,. Lyon,France:[s. n.],2015:1357-1360.
[4] MERINO J,RODRIGUEZ J,CAERTS C,et al. Scenarios and requirements for the operation of the 2030+electricity network[C]//23rd International Conference on Electricity Distribution CIRED. Lyon,France:[s. n.],2015:1329-1333.
[5]时珊珊,苏义荣,改传跃.智能社区低碳能源管理系统方案研究[J].华东电力,2014,42(12):2918-2921.
[6]侯孚睿,王秀丽,锁涛,等.英国电力容量市场设计及对中国电力市场改革的启示[J].电力系统自动化,2015,39(24):1-7.
[7] WANG J J,FU C,YANG K,et al. Reliability and availability analysis of redundant BCHP(Building Cooling,Heating and Power)system[J]. Energy,2013,61(4):531-540.
[8] WEIS T M,ILINCA A. Assessing the potential for a wind power incentive for remote villages in Canada[J]. Energy Policy,2010,38(10):5504-5511.
[9]黄仁乐,程林,李洪涛.交直流混合主动配电网关键技术研究[J].电力建设,2015,36(1):46-51.
[10]金成生,刘稳坚,邱尚青.微电网技术在上海迪士尼110 k V智慧变电站中的应用[J].华东电力,2014,42(5):1027-1030.
[11]郭茹,杨海真.崇明生态岛可再生能源产业发展路径[J].同济大学学报(自然科学版),2012,40(8):1204-1209.
[12]孔祥强,王如竹,李瑛,等.微型冷热电联供系统的优化运行[J].上海交通大学学报,2008,42(3):365-369.
[13] BISCHI A,TACCARI L,MARTELLI E,et al. A detailed MILP optimization model for combined cooling,heat and power system operation planning[J]. Energy,2014,74:12-26.
[14] FACCI A L,ANDREASSI L,UBERTINI S. Optimization of CHCP(combined heat power and cooling)systems operation strategy using dynamic programming[J]. Energy,2014,66:387-400.
[15]黄子硕,于航,彭震伟.多能互补分布式能源系统的能效水平及其影响因素[J].暖通空调,2017,47(4):23-28.
[16]任洪波,吴琼.分布式热电联产系统设计优化研究进展[J].热力发电,2017,46(1):11-16.
[17] CHICCO G,MANCARELLA P. Matrix modelling of small-scale trigeneration systems and application to operational optimization[J]. Energy,2009,34(3):261-273.
[18] ALMASSALKHI M R,TOWLE A. Enabling city-scale multi-energy optimal dispatch with energy hubs[C]//Power Systems Computation Conference(PSCC),Genoa,Italy:IEEE,2016:1-7.
[19]沈运帷,李扬,高赐威,等.需求响应在电力辅助服务市场中的应用[J].电力系统自动化,2017,41(22):151-161.
[20]孙可,应雨龙,郁家麟,等.综合能源服务系统结构描述及设计优化[J].热力发电,2017,46(12):34-39.