高比例清洁能源渗透下的能量枢纽两阶段优化调度策略
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摘要
大规模清洁能源出力的随机性和波动性导致其并网困难,弃风、弃水问题日益突出,传统促进清洁能源高效利用方式常以牺牲系统经济效益为代价,并且往往调节容量有限,难以保证高比例清洁能源调节需求。基于此,文章在输电网层面构建利用多种能源优势互补的清洁能源高占比下的风-水-气协同运行的能量枢纽,并制定了能量枢纽日前-实时两阶段优化调度策略,以消除弃风、弃水给能量枢纽经济效益带来的不利影响;然后通过线性化处理建立混合整数线性规划模型,并采用YALMIP/CPLEX求解器进行模型求解。算例结果表明,两阶段调度优化策略能够有效提高清洁能源利用效率,降低系统运行成本,是解决可再生能源消纳问题的有效途径。
The randomness and volatility of large-scale clean energy output have made it difficult to connect to the grid,and the problem of wind and water abandonment has become increasingly prominent. Traditional ways to promote the efficient use of clean energy often come at the expense of system economic benefits,and often have limited capacity adjustments,making it difficult to ensure a high proportion of clean energy regulation needs. On this basis,we consider the construction of an energy hub that uses wind-water-gas coordinated operation with a high proportion of clean energy sources with complementary energy sources in the transmission network,and develops a two-stage optimization dispatch strategy, which including day-ahead stage and real-time stage,for energy hub to eliminate the adverse effects of abandoning wind and abandoning water on the economic benefits of energy hubs. A mixed integer linear programming model by linearization is formed and then solved with YALMIP/CPLEX solver. The results of the example show that the two-stage dispatch optimization strategy can effectively improve the efficiency of clean energy utilization and reduce the operating cost of the system.
The randomness and volatility of large-scale clean energy output have made it difficult to connect to the grid,and the problem of wind and water abandonment has become increasingly prominent. Traditional ways to promote the efficient use of clean energy often come at the expense of system economic benefits,and often have limited capacity adjustments,making it difficult to ensure a high proportion of clean energy regulation needs. On this basis,we consider the construction of an energy hub that uses wind-water-gas coordinated operation with a high proportion of clean energy sources with complementary energy sources in the transmission network,and develops a two-stage optimization dispatch strategy, which including day-ahead stage and real-time stage,for energy hub to eliminate the adverse effects of abandoning wind and abandoning water on the economic benefits of energy hubs. A mixed integer linear programming model by linearization is formed and then solved with YALMIP/CPLEX solver. The results of the example show that the two-stage dispatch optimization strategy can effectively improve the efficiency of clean energy utilization and reduce the operating cost of the system.
引文
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[16]王芃,刘伟佳,林振智,等.基于场景分析的风电场与电转气厂站协同选址规划[J].电力系统自化,2017,41(6):20-29.WANG Peng, LIU Weijia, LIN Zhenzhi, et al. Scenario analysis based collaborative site selection planning of wind farms and powerto-gas plants[J]. Automation of Electric Power Systems, 2017,41(6):20-29.
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[2]裴哲义,胡超凡.富余可再生能源跨区电力现货交易的探索与实践[J].中国电力,2018, 51(1):16-21.PEI Zheyi,HU Chao fan. Exploration and practice of transregional electricity spot trading of surplus renewable energy[J]. Electric Power, 2018, 51(1):16-31.
[3]李杨,刘伟佳,赵俊华,等.含电转气的电-气-热系统协同调度与消纳风电效益分析[J].电网技术,2016, 40(12):3680-3688.LI Yang, LIU Weijia, ZHAO Junhua, et al. Optimal dispatch of combined electricity-gas-heat energy systems with power-to-gas devices and benefit analysis of wind power accommodation[J].Power System Technology, 2016, 40(12):3680-3688.
[4]张巍,董昕昕,孙伟卿,等.能源互联网中的综合能源系统研究[J].自动化仪表,2017, 38(1):12-45.ZHANG Wei,DONG Xinxin,SUN Weiqing,et al. Research on the integrated energy system in energy internet[J]. Process Automation Instrumentation, 2017, 38(1):12-15.
[5]王伟亮,王丹,贾宏杰,等.能源互联网背景下的典型区域综合能源系统稳态分析研究综述[J].中国电机工程学报,2016, 36(12):3292-3305.WANG Weiliang, WANG Dan, JIA Hongjie, et al. Review of steady-state analysis of typical regional integrated energy system under the background of energy internet[J]. Proceedings of the CSEE, 2016, 36(12):3292-3305.
[6]夏榆杭,刘俊勇.基于分布式发电的虚拟发电厂研究综述[J].电力自动化设备,2016,36(4):100-406.XIA Yuhang,LIU Junyong. Review of virtual power plant based on distributed generation[J]. Electric Power Automation Equipment,2016, 36(4):100-406.
[7]刘继春,周春燕,高红均,等.考虑氢能-天然气混合储能的电-气综合能源微网日前经济调度优化[J].电网技术,2018, 42(1):170-478.LIU Jichun, ZHOU Chunyan, GAO Hongjun, et al. A day-ahead economic dispatch optimization model of integrated electricity-natural gas system considering hydrogen-gas energy storage system in microgrid[J]. Power System Technology, 2018, 42(1):170-178.
[8]王毅,张宁,康重庆.能源互联网中能量枢纽的优化规划与运行研究综述及展望[J].中国电机工程学报,2015, 35(22):5669-5681.WANG Yi, ZHANG Ning, KANG Chongqing. Review andprospect of optimal planning and operation of energy hub in energy internet[J]. Proceedings of the CSEE, 2015, 35(22):5669-5681.
[9] ZHANG W, HAN D, SUN W, et al. Optimal operation of windsolar-hydrogen storage system based on energy hub[C]//IEEE Conference on Energy Internet and Energy System Integration.IEEE, 2018:1-5.
[10] SHEIKHI A, RANJBAR A M, SAFE F, et al. CHP optimized selection methodology for an energy hub system[C]//PowerTech,2011 IEEE Trondheim. IEEE, 2011:1-7.
[11] XU X, HOU K, JIA H, et al. A reliability assessment approach for the urban energy system and its application in energy hub planning[C]//Power&Energy Society General Meeting. IEEE, 2015.
[12]邹云阳,杨莉.基于经典场景集的风光水虚拟电厂协同调度模型[J].电网技术,2015, 39(7):1855-4859.ZOU Yunyang,YANG Li. Synergetic dispatch models of a wind/PV/hydro virtual power plant based on representative scenario set[J].Power System Technology,2015,39(7):1855-4859.
[13]刘伟佳,文福拴,薛禹胜,等.电转气技术的成本特征与运营经济性分析[J].电力系统自动化,2016,40(24):1-11.LIU Weijia, WEN Fushuan, XUE Yusheng, et al. Cost characteristics and economic analysis of power-to-gas technology[J]. Automation of Electric Power Systems, 2016, 40(24):1-11.
[14]林今,张亦弛,宋永华,等.基于能源互联网思维的我国待弃水电制氢消纳模式与经济可行性分析[J].中国能源,2016, 38(4):5-9.LIN Jin, ZHANG Yichi, SONG Yonghua, et al. Analysis of abandoned hydroelectric power mode and economic feasibility of hydrogen consumption to China's energy based on internet thinking[J]. Energy of China,2016,38(4):5-9.
[15]李雪凌,周杰娜.电力市场下水电厂的AGC辅助服务成本分析[J].电力系统保护与控制,2008, 36(17):47-50.LI Xueling,ZHOU Jiena. AGC cost in the generation market[J].Power System Protection and Control, 2008, 36(17):47-50.
[16]王芃,刘伟佳,林振智,等.基于场景分析的风电场与电转气厂站协同选址规划[J].电力系统自化,2017,41(6):20-29.WANG Peng, LIU Weijia, LIN Zhenzhi, et al. Scenario analysis based collaborative site selection planning of wind farms and powerto-gas plants[J]. Automation of Electric Power Systems, 2017,41(6):20-29.
[17]方国华,吴三潮.电力市场环境下水电竞价策略研究[J].水电能源科学,2009, 27(4):221-224.FANG Guohua, WU Sanchao. Study on strategy of hydro generation bidding in electricity market[J]. Water Resources and Power, 2009, 27(4):221-224.
[18] EEX natural gas market data[EB/OL].(2018-05-12)[2018-08-10]. https://w ww.eex.com/en/market-data/natural-gas.
[19] Nordpool makter data[EB/OL].(2018-05-12)[2018-08-10].https://ww w. nordpoolspot. com/Market-datal/Dayahead/AreaPrices/ALLl/Hourly/? view=table.
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