考虑不确定性的区域能源互联网源-荷-储协调优化
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摘要
能源互联网概念的提出,为综合能源利用方式提出了新的思路。计及可再生能源出力和负荷预测不确定性,考虑区域内发电、储能、需求侧多种调度响应资源,采用多场景随机规划方法建立区域能源互联网的源-荷-储两阶段协调优化模型。日前考虑电价制定,以总社会福利最大为目标,确定第二天电价策略、需求侧响应情况及机组运行计划。日内以总运行成本最小为目标,对日前机组运行计划进行修正。算例证明所提出模型及方法能够充分调动发电侧与需求侧的响应特性,有效实现区域能源互联网系统的协调优化,保证系统的运行经济性和可靠性。
The conception of energy internet has provided new approach for integrated energy utilization.A two-stage"generation-load-storage"coordinated optimization method for regional energy internets considering renewable energy and load uncertainties is proposed.The day-ahead optimization determines the electricity price,demand response and unit output in the next day with the aim of maximizing the social welfare.In the intraday optimization,the total operating cost is minimized using scenario-based economic dispatch models.Case study shows that the proposed model and method can reduce the operating costs and promote the reliability of the energy internet considering uncertainties.
The conception of energy internet has provided new approach for integrated energy utilization.A two-stage"generation-load-storage"coordinated optimization method for regional energy internets considering renewable energy and load uncertainties is proposed.The day-ahead optimization determines the electricity price,demand response and unit output in the next day with the aim of maximizing the social welfare.In the intraday optimization,the total operating cost is minimized using scenario-based economic dispatch models.Case study shows that the proposed model and method can reduce the operating costs and promote the reliability of the energy internet considering uncertainties.
引文
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[2]WANG L,LI Q,SUN M,et al.Robust optimization scheduling of CCHP systems with multi-energy based on minimax regret criterion[J].IET Generation Transmission&Distribution,2016,10(9):2194-2201.
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[4]于婧,孙宏斌,沈欣炜.考虑储热装置的风电-热电机组联合优化运行策略[J].电力自动化设备,2017,37(6):139-145.YU Jing,SUN Hongbin,SHEN Xinwei.Optimal operating strategy of integrated power system with wind farm,CHP unit and heat storage device[J].Electric Power Automation Equipment,2017,37(6):139-145.
[5]曾鸣,杨雍琦,刘敦楠,等.能源互联网“源-网-荷-储”协调优化运营模式及关键技术[J].电网技术,2016,40(1):114-124.ZENG Ming,YANG Yongqi,LIU Dunnan,et al.“Generation-grid-load-storage”coordinative optimal operation mode of energy internet and key technologies[J].Power System Technology,2016,40(1):114-124.
[6]曾鸣,杨雍琦,向红伟,等.兼容需求侧资源的“源-网-荷-储”协调优化调度模型[J].电力自动化设备,2016,36(2):102-111.ZENG Ming,YANG Yongqi,XIANG Hongwei,et al.Optimal dispatch model based on coordination between“generation-grid-load-energy storage”and demand-side resource[J].Electric Power Automation Equipment,2016,36(2):102-111.
[7]姜子卿,郝然,艾芊.基于冷热电多能互补的工业园区互动机制研究[J].电力自动化设备,2017,37(6):260-267.JIANG Ziqing,HAO Ran,AI Qian.Interaction mechanism of industrial park based on multi-energy complementation[J].Electric Power Automation E-quipment,2017,37(6):260-267.
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[9]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.XIONG Yan,WU Jiekang,WANG Qiang,et al.An optimization coordination model and solution for combined cooling,heating and electric power systems with complimentary generation of wind,PV,gas and energy storage[J].Proceedings of the CSEE,2015,35(14):3616-3625.
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[17]包宇庆,王蓓蓓,李扬,等.考虑大规模风电接入并计及多时间尺度需求响应资源协调优化的滚动调度模型[J].中国电机工程学报,2016,36(17):4589-4600.BAO Yuqing,WANG Beibei,LI Yang,et al.Rolling dispatch model considering wind penetration and multi-scale demand response resources[J].Proceedings of CSEE,2016,36(17):4589-4600.
[18]殷红旭,刘春秀,赵金勇,等.基于自适应模型预测控制的区域能源互联网两阶段协同调度[J].现代电力,2018,35(4):35-44.YIN Hongxu,LIU Chunxiu,ZHAO Jinyong,et al.A two-stage coordinated optimization method of regional energy internet based on adaptive model predictive control[J].Modern Electric Power,2018,35(4):35-44.
[19]白杨,钟海旺,夏清,等.电量协调与成本控制的日内滚动发电计划[J].电网技术,2013,37(10):2965-2972.BAI Yang,ZHONG Haiwang,XIA Qing,et al.An intraday rolling scheduling with unit energy coordination and operating cost control[J].Power System Technology,2013,37(10):2965-2972.
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