考虑多重区间不确定性的用户侧综合能源系统双层优化配置

doi:10.11930/j.issn.1004-9649.202009108

摘要/Abstract

摘要： 为了解决用户侧综合能源系统规划和运行中缺乏不确定性因素考虑的问题，提出一种双层优化配置模型。为此，将负荷预测、可再生能源发电和能源价格的不确定性表示为区间数形式，以设备年投资费用和年运行费用为目标，且考虑运行费用波动水平的影响，构建了考虑区间不确定性的用户侧综合能源系统双层优化配置模型，上层采用粒子群优化，下层通过区间线性规划方法得到系统运行的区间解，通过相互迭代得到模型的最优解。最后，开展算例仿真，结果表明通过在用户侧综合能源系统中配置储能设备可以减小系统成本的波动，并对比分析了负荷不确定性、能源价格不确定性和权重系数$ \lambda $对能源设备配置容量和系统运行成本的影响。该模型能够为运行人员提供规划方案，具有工程实践意义。

关键词: 用户侧综合能源系统, 不确定性, 区间线性规划, 双层优化配置

Abstract: In order to solve the problem of the lack of consideration of uncertain factors in the planning and operation of the user-side integrated energy system, this paper proposes a two-tier optimal configuration model. For this reason, the uncertainty of load, renewable energy power generation and energy prices is expressed in the form of interval numbers, with the annual investment cost and annual operating cost of the equipment as the target, and considering the impact of the fluctuation level of the operating cost, a consideration interval uncertainty is constructed. The two-level optimal configuration model of the user-side integrated energy system on the user side, the upper layer uses particle swarm optimization, the lower layer obtains the interval solution of the system operation through the interval linear programming method, and the optimal solution of the model is obtained through mutual iteration. Finally, a simulation example is carried out. The results show that the configuration of energy storage equipment in the user-side integrated energy system can reduce system cost fluctuations, and the impact of load uncertainty, energy price uncertainty and weight coefficients $ \lambda $ on energy equipment configuration capacity and system operating costs are compared and analyzed. The model can provide planning schemes for operators and has engineering practical significance.

Key words: user-side integrated energy system, uncertainty, interval linear programming, two-level optimal configuration

卢炳文, 魏震波, 魏平桉, 郭毅, 胡蓉. 考虑多重区间不确定性的用户侧综合能源系统双层优化配置[J]. 中国电力, 2022, 55(3): 193-202.

LU Bingwen, WEI Zhenbo, WEI Pingan, GUO Yi, HU Rong. Two-level Optimal Configuration of User-side Integrated Energy System Considering Interval Uncertainties[J]. Electric Power, 2022, 55(3): 193-202.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202009108

https://www.electricpower.com.cn/CN/Y2022/V55/I3/193

参考文献

[1] 别朝红, 王旭, 胡源. 能源互联网规划研究综述及展望[J]. 中国电机工程学报, 2017, 37(22): 6445–6462,6757
BIE Zhaohong, WANG Xu, HU Yuan. Review and prospect of planning of energy Internet[J]. Proceedings of the CSEE, 2017, 37(22): 6445–6462,6757
[2] 袁智勇, 赵懿祺, 郭祚刚, 等. 面向能源互联网的综合能源系统规划研究综述[J]. 南方电网技术, 2019, 13(7): 1–9
YUAN Zhiyong, ZHAO Yiqi, GUO Zuogang, et al. Research summary of integrated energy systems planning for energy Internet[J]. Southern Power System Technology, 2019, 13(7): 1–9
[3] 曾鸣, 张硕. “十四五”电力规划的综合能源发展探析[J]. 中国电力企业管理, 2020(13): 26–28
[4] 崔全胜, 白晓民, 董伟杰, 等. 用户侧综合能源系统规划运行联合优化[J]. 中国电机工程学报, 2019, 39(17): 4967–4981,5279
CUI Quansheng, BAI Xiaomin, DONG Weijie, et al. Joint optimization of planning and operation in user-side multi-energy systems[J]. Proceedings of the CSEE, 2019, 39(17): 4967–4981,5279
[5] 李德智, 龚桃荣. 用户侧多能互补微能源网的规划方法[J]. 中国电力, 2019, 52(11): 68–76
LI Dezhi, GONG Taorong. Planning method of multi-energy complementary micro energy grid on user side[J]. Electric Power, 2019, 52(11): 68–76
[6] 黄武靖, 张宁, 董瑞彪, 等. 多能源网络与能量枢纽联合规划方法[J]. 中国电机工程学报, 2018, 38(18): 5425–5437
HUANG Wujing, ZHANG Ning, DONG Ruibiao, et al. Coordinated planning of multiple energy networks and energy hubs[J]. Proceedings of the CSEE, 2018, 38(18): 5425–5437
[7] 林晓明, 张勇军, 陈伯达, 等. 计及多评价指标的园区能源互联网双层优化配置[J]. 电力系统自动化, 2019, 43(20): 8–15,30
LIN Xiaoming, ZHANG Yongjun, CHEN Boda, et al. Bi-level optimal configuration of park energy Internet considering multiple evaluation indicators[J]. Automation of Electric Power Systems, 2019, 43(20): 8–15,30
[8] 周灿煌, 郑杰辉, 荆朝霞, 等. 面向园区微网的综合能源系统多目标优化设计[J]. 电网技术, 2018, 42(6): 1687–1697
ZHOU Canhuang, ZHENG Jiehui, JING Zhaoxia, et al. Multi-objective optimal design of integrated energy system for park-level microgrid[J]. Power System Technology, 2018, 42(6): 1687–1697
[9] 周星球, 郑凌蔚, 杨兰, 等. 考虑多重不确定性的综合能源系统日前优化调度[J]. 电网技术, 2020, 44(7): 2466–2473
ZHOU Xingqiu, ZHENG Lingwei, YANG Lan, et al. Day-ahead optimal dispatch of an integrated energy system considering multiple uncertainty[J]. Power System Technology, 2020, 44(7): 2466–2473
[10] 聂伟棋. 基于区间优化的含风综合能源系统低碳经济调度策略[D]. 湘潭: 湘潭大学, 2019
NIE Weiqi. Low-carbon economic dispatch strategy of integrated energy system with wind power based on interval optimization[D]. Xiangtan: Xiangtan University, 2019.
[11] 蒋超凡, 艾欣. 计及多能耦合机组不确定性的综合能源系统运行优化模型研究[J]. 电网技术, 2019, 43(8): 2843–2854
JIANG Chaofan, AI Xin. Integrated energy system operation optimization model considering uncertainty of multi-energy coupling units[J]. Power System Technology, 2019, 43(8): 2843–2854
[12] 包伟涔, 韦钢, 刘佳, 等. 基于区间模型的多能互补系统优化运行[J]. 电力系统自动化, 2019, 43(11): 8–16
BAO Weicen, WEI Gang, LIU Jia, et al. Interval model based optimal operation of multi-energy complementary system[J]. Automation of Electric Power Systems, 2019, 43(11): 8–16
[13] 白牧可, 王越, 唐巍, 等. 基于区间线性规划的区域综合能源系统日前优化调度[J]. 电网技术, 2017, 41(12): 3963–3970
BAI Muke, WANG Yue, TANG Wei, et al. Day-ahead optimal dispatching of regional integrated energy system based on interval linear programming[J]. Power System Technology, 2017, 41(12): 3963–3970
[14] 周钰童, 华亮亮, 黄伟, 等. 计及电热交易的区域综合能源多目标优化配置[J]. 现代电力, 2019, 36(4): 24–30
ZHOU Yutong, HUA Liangliang, HUANG Wei, et al. Multi-objective optimal allocation of regional integrated energy considering electric-heat transaction[J]. Modern Electric Power, 2019, 36(4): 24–30
[15] 吴聪, 唐巍, 白牧可, 等. 基于能源路由器的用户侧能源互联网规划[J]. 电力系统自动化, 2017, 41(4): 20–28
WU Cong, TANG Wei, BAI Muke, et al. Energy router based planning of energy Internet at user side[J]. Automation of Electric Power Systems, 2017, 41(4): 20–28
[16] 熊文, 刘育权, 苏万煌, 等. 考虑多能互补的区域综合能源系统多种储能优化配置[J]. 电力自动化设备, 2019, 39(1): 118–126
XIONG Wen, LIU Yuquan, SU Wanhuang, et al. Optimal configuration of multi-energy storage in regional integrated energy system considering multi-energy complementation[J]. Electric Power Automation Equipment, 2019, 39(1): 118–126
[17] 崔明勇, 王楚通, 王玉翠, 等. 独立模式下微网多能存储系统优化配置[J]. 电力系统自动化, 2018, 42(4): 30–38,54
CUI Mingyong, WANG Chutong, WANG Yucui, et al. Optimal configuration of multi-energy storage system in standalone microgrid[J]. Automation of Electric Power Systems, 2018, 42(4): 30–38,54
[18] 仇知, 王蓓蓓, 贲树俊, 等. 计及不确定性的区域综合能源系统双层优化配置规划模型[J]. 电力自动化设备, 2019, 39(8): 176–185
QIU Zhi, WANG Beibei, BEN Shujun, et al. Bi-level optimal configuration planning model of regional integrated energy system considering uncertainties[J]. Electric Power Automation Equipment, 2019, 39(8): 176–185
[19] 林顺富, 刘持涛, 李东东, 等. 考虑电能交互的冷热电区域多微网系统双层多场景协同优化配置[J]. 中国电机工程学报, 2020, 40(5): 1409–1421
LIN Shunfu, LIU Chitao, LI Dongdong, et al. Bi-level multiple scenarios collaborative optimization configuration of CCHP regional multi-microgrid system considering power interaction among microgrids[J]. Proceedings of the CSEE, 2020, 40(5): 1409–1421