高耗能电熔镁负荷与储能协同调峰的双层优化调度策略A bi-level optimal dispatch strategy for synergistic peak shaving with high-energy-consumption fused magnesia loads and energy storage
李军徽,范田振,余梦,刘桁宇,孙家正,朱星旭,李翠萍
LI Junhui,FAN Tianzhen,YU Meng,LIU Hengyu,SUN Jiazheng,ZHU Xingxu,LI Cuiping
摘要(Abstract):
目前新能源接入规模不断扩大,传统电力调度方式已难以适应以新能源为主体的电力系统发展需求。为提升电网调峰能力,引入典型高耗能电熔镁负荷作为调节对象,结合电熔镁负荷运行特性建立电熔镁炉功率调节模型,量化其参与系统调峰的可调节潜力;同时在负荷侧配置电池储能系统,构建与火电机组联合优化的双层调度模型。模型上层以风电消纳量最大化为目标,对火电、风电和高耗能电熔镁负荷调节功率进行优化;下层以系统整体运行成本最小为目标,进一步优化火电与储能系统的联合运行功率,形成“电熔镁负荷-储能系统”联合调峰经济调度策略。通过算例仿真验证,该模型在提升新能源消纳能力、降低系统运行成本方面效果显著,具有良好的实际应用前景。
With the continuous expansion of renewable energy integration, conventional power dispatch methods have become inadequate to meet the development needs of power systems dominated by renewable energy. To enhance grid peak-shaving capability, this paper introduces a typical high-energy-consumption fused magnesia load as a regulation resource. Based on the operational characteristics of fused magnesia loads, a power regulation model for fused magnesia furnaces is established to quantify their adjustable potential for participating in system peak shaving. Moreover, a battery energy storage system is configured on the load side to construct a bi-level dispatch model for the coordinated optimization of thermal power units. The upper level of the model aims to maximize wind power consumption by optimizing the regulation power of thermal power, wind power, and the high-energy-consumption fused magnesia load. The lower level minimizes the overall system operating cost by further optimizing the combined operation of thermal power and the energy storage system, forming an economic dispatch strategy for synergistic peak shaving with fused magnesia load and energy storage system. Case study simulations verify that the proposed model significantly improves renewable energy integration capacity and reduces system operating costs, demonstrating strong potential for practical application.
关键词(KeyWords):
需求响应;电熔镁负荷;储能;调度策略;风电消纳
demand response;fused magnesia load;energy storage;dispatch strategy;wind power consumption
基金项目(Foundation): 国网电力科学研究院武汉能效测评有限公司科技项目(SGNR00NXYFQT2400319)
作者(Author):
李军徽,范田振,余梦,刘桁宇,孙家正,朱星旭,李翠萍
LI Junhui,FAN Tianzhen,YU Meng,LIU Hengyu,SUN Jiazheng,ZHU Xingxu,LI Cuiping
DOI: 10.19585/j.zjdl.202602007
参考文献(References):
- [1]李建林,郭兆东,马速良,等.新型电力系统下“源网荷储”架构与评估体系综述[J].高电压技术,2022,48(11):4330-4342.LI Jianlin,GUO Zhaodong,MA Suliang,et al.Overview of the“source-grid-load-storage” architecture and evaluation system under the new power system[J].High Voltage Engineering,2022,48(11):4330-4342.
- [2]张海亮,王艺博,蔡国伟,等.面向风电消纳与电熔镁高载能负荷调控的源荷协调优化策略[J].电工技术学报,2022,37(17):4401-4410.ZHANG Hailiang,WANG Yibo,CAI Guowei,et al.Source-load coordination optimization strategy for wind power accommodation and high energy load regulation of electric fused magnesium[J].Transactions of China Electrotechnical Society,2022,37(17):4401-4410.
- [3]晋宏杨,孙宏斌,牛涛,等.考虑风险约束的高载能负荷—风电协调调度方法[J].电力系统自动化,2019,43(16):9-16.JIN Hongyang,SUN Hongbin,NIU Tao,et al. Coordinated dispatch method of energy-extensive load and wind power considering risk constraints[J].Automation of Electric Power Systems,2019,43(16):9-16.
- [4]李军徽,张嘉辉,穆钢,等.计及负荷峰谷特性的储能调峰日前优化调度策略[J].电力自动化设备,2020,40(7):128-133.LI Junhui,ZHANG Jiahui,MU Gang,et al.Day-ahead optimal scheduling strategy of peak regulation for energy storage considering peak and valley characteristics of load[J].Electric Power Automation Equipment,2020,40(7):128-133.
- [5]崔杨,周慧娟,仲悟之,等.考虑源荷两侧不确定性的含风电电力系统低碳调度[J].电力自动化设备,2020,40(11):85-93.CUI Yang,ZHOU Huijuan,ZHONG Wuzhi,et al.Lowcarbon scheduling of power system with wind power considering uncertainty of both source and load sides[J].Electric Power Automation Equipment,2020,40(11):85-93.
- [6]陈皇森,石立宝.考虑多风电场出力预测误差分布特征的随机机组组合[J].电网技术,2023,47(12):5026-5040.CHEN Huangsen,SHI Libao. Stochastic unit commitment considering output forecast error distribution characteristics of multiple wind farms[J].Power System Technology,2023,47(12):5026-5040.
- [7]刘文颖,文晶,谢昶,等.考虑风电消纳的电力系统源荷协调多目标优化方法[J].中国电机工程学报,2015,35(5):1079-1088.LIU Wenying,WEN Jing,XIE Chang,et al. Multiobjective optimal method considering wind power accommodation based on source-load coordination[J]. Proceedings of the CSEE,2015,35(5):1079-1088.
- [8]邓衍辉,李剑,卢国强,等.考虑分区域动态电价机制引导的电动汽车充电优化策略[J].电力系统保护与控制,2024,52(7):33-44.DENG Yanhui,LI Jian,LU Guoqiang,et al.Charging optimization strategy of electric vehicles guided by the dynamic tariff mechanism of a subregion[J]. Power System Protection and Control,2024,52(7):33-44.
- [9]晋宏杨,孙宏斌,牛涛,等.考虑风电与高载能负荷调度不确定性的鲁棒机组组合[J].电力系统自动化,2019,43(22):13-20.JIN Hongyang,SUN Hongbin,NIU Tao,et al. Robust unit commitment considering uncertainties of wind and energy intensive load dispatching[J].Automation of Electric Power Systems,2019,43(22):13-20.
- [10]文晶,刘文颖,谢昶,等.计及风电消纳效益的电力系统源荷协调二层优化模型[J].电工技术学报,2015,30(8):247-256.WEN Jing,LIU Wenying,XIE Chang,et al.Source-load coordination optimal model considering wind power consumptive benefits based on bi-level programming[J].Transactions of China Electrotechnical Society,2015,30(8):247-256.
- [11]王健,鲁宗相,乔颖,等.高载能负荷提高风电就地消纳的需求响应模式研究[J].电网技术,2017,41(7):2115-2124.WANG Jian,LU Zongxiang,QIAO Ying,et al.Research on demand response mechanism of wind power local accommodation utilizing energy-intensive loads[J]. Power System Technology,2017,41(7):2115-2124.
- [12]刘闯,孙傲,王艺博,等.计及电熔镁负荷与储能联合调峰的电力系统日前-日内联合经济调度方法[J].电力自动化设备,2022,42(2):8-15.LIU Chuang,SUN Ao,WANG Yibo,et al. Day-ahead and intra-day joint economic dispatching method of electric power system considering combined peak-shaving of fused magnesium load and energy storage[J]. Electric Power Automation Equipment,2022,42(2):8-15.
- [13]廖思阳,张明强,徐箭,等.考虑静态电压稳定约束的电解铝参与电网频率稳定控制方法[J].中国电机工程学报,2022,42(18):6727-6740.LIAO Siyang,ZHANG Mingqiang,XU Jian,et al. Frequency stability control method for electrolytic aluminum participation in power grid considering the static voltage stability constraints[J].Proceedings of the CSEE,2022,42(18):6727-6740.
- [14]姚建国,杨胜春,王珂,等.智能电网“源-网-荷”互动运行控制概念及研究框架[J].电力系统自动化,2012,36(21):1-6.YAO Jianguo,YANG Shengchun,WANG Ke,et al.Concept and research framework of smart grid“source-gridload” interactive operation and control[J].Automation of Electric Power Systems,2012,36(21):1-6.
- [15]刘铠诚,贾晓强,何桂雄,等.计及虚拟储能的冷热电综合能源系统优化调度方法[J].浙江电力,2024,43(12):38-48.LIU Kaicheng,JIA Xiaoqiang,HE Guixiong,et al.An optimal scheduling method for IES considering virtual energy storage[J].Zhejiang Electric Power,2024,43(12):38-48.
- [16]金仁云,陈铁义,YU Yimeng.基于动态演化博弈论的电力需求侧管理策略研究[J].浙江电力,2024,43(12):49-58.JIN Renyun,CHEN Tieyi,YU Yimeng.A study on power demand side management strategies based on dynamic evolutionary game theory[J].Zhejiang Electric Power,2024,43(12):49-58.
- [17]王淑云,娄素华,吴耀武,等.计及火电机组深度调峰成本的大规模风电并网鲁棒优化调度[J].电力系统自动化,2020,44(1):118-125.WANG Shuyun,LOU Suhua,WU Yaowu,et al. Robust optimal dispatch of large-scale wind power integration considering deep peak regulation cost of thermal power units[J].Automation of Electric Power Systems,2020,44(1):118-125.
- 需求响应
- 电熔镁负荷
- 储能
- 调度策略
- 风电消纳
demand response - fused magnesia load
- energy storage
- dispatch strategy
- wind power consumption