基于MILP和NSGA-Ⅱ的多类型储能协同调度优化Coordinated dispatch optimization of multi-type energy storage systems using MILP and NSGA-Ⅱ algorithms
冯春贤,王文学,王一峰,张飞飞,袁龙,范志昊,陈衡
摘要(Abstract):
【目的】为应对高比例新能源接入电网对灵活性与经济性的需求,提出一种面向峰谷电价与新能源波动的多类型储能协同调度优化模型及调度策略。【方法】基于混合整数线性规划算法(MILP)与非支配排序多目标遗传算法(NSGA-II),构建以系统总成本最低和新能源消纳率最高为双目标的优化调度模型,并通过河北地区不同季节典型日的负荷与风光出力数据验证模型的经济性与消纳效果。【结果】结果表明:该模型具有较好的鲁棒性,能够适应风光与负荷波动;春季最佳储能出力为3 000 MW,夏季、秋季、冬季均为2 000 MW,各季节特征日风光消纳率均保持在85%以上,系统总成本控制在15 000元水平。【结论】研究通过融合多季节场景、多类型储能及多目标优化,实现了经济性与新能源消纳水平的协同提升,有效增强了电网灵活性并降低了弃风弃光率。
关键词(KeyWords): 多类型储能;优化调度;MILP算法;NSGA-Ⅱ算法;新能源消纳
基金项目(Foundation): 国网河北省电力有限公司科技项目(kj2024-059):多场景下多类型新型储能多时间尺度运行调度策略研究~~
作者(Author): 冯春贤,王文学,王一峰,张飞飞,袁龙,范志昊,陈衡
DOI: 10.19666/j.rlfd.202508008
参考文献(References):
- [1]李智勇,张庆辉,管亿民.“双碳”能源时代下电力系统调度中的储能技术[J].现代工业经济和信息化,2024, 14(11):198-200.LI Zhiyong, ZHANG Qinghui, GUAN Yimin. Energy storage technology in power system dispatch in the“Dual Carbon” energy era[J]. Modern Industrial Economy and Informationization, 2024, 14(11):198-200.
- [2]闫群民,屈晨光,王磊,等.考虑双碳目标的新型电力系统源-网-荷-储评价体系研究[J].太阳能学报,2025, 46(12):469-482.YAN Qunmin, QU Chenguang, WANG Lei. Study on source-grid-load-storage evaluation system of ewtype power system under carbon peaking and carbon-neutral goal[J]. Acta Energiae Solaris Sinica, 2025, 46(12):469-482.
- [3]赵志龙.基于“双碳+节能”目标的电力系统物理储能技术设计与应用[J].能源与节能, 2025(2):87-90.ZHAO Zhilong. Design and application of physical energy storage technology for power systems based on goals of“Dual Carbon+Energy Conservation”[J]. Energy and Energy Conservation, 2025(2):87-90.
- [4]郑小敏,吴望冰,田思聪.“双碳”背景下配电网源网荷储优化调度研究[J].电力设备管理, 2025,(3):48-50.ZHENG Xiaomin, WU Wangbing, TIAN Sicong.Research on optimal dispatch of source, grid, load and storage in distribution network under the background of“Dual Carbon”[J]. Electric Power Equipment Management, 2025(3):48-50.
- [5]马会萌,李相俊,吴荣宇,等.兼顾新能源消纳和主动支撑电网能力提升的多类型储能容量优化配置[J].电力建设, 2024, 45(6):111-119.MA Huimeng, LI Xiangjun, WU Rongyu, et al. Optimal capacity configuration method for multi-type energy storage systems enhancing new energy consumption and actively supporting the grid[J]. Electric Power Construction, 2024, 45(6):111-119.
- [6]田松峰,姚静,杨智好,等.基于混合储能的风光储联合发电系统优化调度策略及评价[J].热力发电, 2024,53(10):21-31.TlAN Songfeng, YAO Jing, YANG Zhihao, et al. Optimal dispatching strategy and evaluation of wind-solarstoragecombined power generation system based on hybrid energy storage[J]. Thermal Power Generation,2024, 53(10):21-31.
- [7]王来增,冯璐,张新敬.考虑分时电价的风光储系统技术经济性研究[J].热力发电, 2024, 53(10):66-71.WANG Laizeng, FENG Lu, ZHANG Xinjing. Economic study on wind-solar-storage systems technology consideringtime-of-use electricity prices[J]. Thermal Power Generation, 2024, 53(10):66-71.
- [8]孙少华,李更丰,邹文秋,等.兼顾常规场景经济性与极端场景弹性的多类型储能设备配置策略[J].高电压技术, 2025, 51(10):5064-5077.SUN Shaohua, LI Gengfeng, ZOU Wenqiu, et al. Multitype energy storage equipment configuration strategy balancing economy in conventional scenarios and resilience in extreme scenarios[J]. High Voltage Engineering, 2025, 51(10):5064-5077.
- [9]李令宇,程浩忠,张衡,等.含高比例新能源电力系统的低碳电源规划方法[J].电测与仪表, 2025, 62(7):30-37.LI Lingyu, CHENG Haozhong, ZHANG Heng, et al.Low-carbon power planning method for power system with highproportion of renewable energy[J]. Electrical Measurement&Instrumentation, 2025, 62(7):30-37.
- [10]薄利明,刘新元,程雪婷,等.基于风光调节需求变分模态分解的混合储能优化研究[J/OL].华北电力大学学报(自然科学版)[2025-12-02]. https://link. cnki.net/urlid/10.1999.tm.20250407.1709.003.BO Liming, LlU Xinyuan, CHENG Xueting, et al.Optimization study of hybrid energy storage based on variational modaldecomposition of wind and solar regulation demand[J/OL]. Journal of North China Electric Power University(Natural Science Edition)[2025-12-02].https://link.cnki.net/urlid/10.1999.tm.20250407.1709.003.
- [11]蒋新科,刘春,张雪松,等.基于双储能的风电功率波动平抑策略研究[J].电测与仪表, 2025, 62(4):19-25.JANG Xinke, LIU Chun, ZHANG Xuesong, et al. Study on strategy for stabilizing wind power fluctuations based on dual energy storage[J]. Electrical Measurement&Instrumentation, 2025, 62(4):19-25.
- [12]孔祥祺,张鹏,孟珣,等.基于改进NSGA-Ⅱ算法的含地热发电电力系统多目标优化调度[J].热力发电,2025, 54(2):30-41.KONG Xiangqi, ZHANG Peng, MENG Xun, et al. Multiobjective optimization dispatch of power systems including geothermal power generation based on improved NSGA-Ⅱalgorithm[J]. Thermal Power Generation, 2025, 54(2):30-41.
- [13]孙振宇,刘瑛琳,郝婧,等.故障扰动下的风火储送端系统频率动态特性与储能容量优化配置[J].电网技术,2025, 49(9):3655-3666.SUN Zhenyu, LIU Yinglin, HAO Jing, et al. Research on frequency dynamic characteristics and optimization configuration of energy storage capacity under fault disturbance of wind-thermal-storage system[J]. Power System Technology, 2025, 49(9):3655-3666.
- [14]刘忠,张乐,寇攀高,等.并网型风电-光伏-抽水蓄能-蓄电池系统容量优化配置[J].动力工程学报, 2023,43(9):1151-1159.LlU Zhong, ZHANG Le, KOU Pangao, et al. Capacity allocation optimization on grid connected system consisting of wind power, photovoltaic power, pumped storage and battery[J]. Journal of Chinese Society of Power Engineering, 2023, 43(9):1151-1159.
- [15]周业荣,李相锐,绳博宇,等.水风光蓄互补发电系统中风光容量配置研究[J].水利水电技术(中英文),2023, 54(11):1-14.ZHOU Yerong, LI Xiangrui, SHENG Boyu, et al. Study of wind-photovoltaic optimal capacity configuration in hydro wind-photovoltaic-pumped storage complementary power generationsystem[J]. Water Resources and Hydropower Engineering, 2023, 54(11):1-14.
- [16]刘世隆,韦建溪,田楠.基于合理弃能的抽蓄-风-光-火联合发电系统多方案优化运行研究[J].电网与清洁能源, 2025, 41(2):100-106.LIU Shilong, WEI Jianxi, TIAN Nan. Research on the multi-scheme optimal operation of the pumped storage wind-solar-thermal combined power generation system based on rational abandonment of energy[J]. Power System and Clean Energy, 2025, 41(2):100-106.
- [17]杨明杰,胡扬宇,千海霞,等.计及风电、光伏、需求侧响应的藤Copula不确定性的综合能源配网分布鲁棒优化[J].电测与仪表, 2025, 62(10):147-155.YANG Mingiie, HU Yangyu, QIAN Haixia, et al.Distributionally robust optimization for integrated energy distribution network considering vine Copula uncertainty of wind power, photovoltaic and demand side response[J].Electrical Measurement&Instrumentation, 2025, 62(10):147-155.
- [18]李金航,佟曦,陈衡,等.含多类型储能的综合能源系统低碳经济运行双层优化方法研究[J].动力工程学报,2024, 44(3):498-508.LI Jinhang, TONG Xi, CHEN Heng, et al. Research on two-layer optimization method for low-carbon and economic operation of integrated energy system with multiple types of energy storage[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3):498-508.
- [19]谢代钰,李宏洲,陈标,等.多类型储能参与的调峰模型及其优化调度策略[J].分布式能源, 2024, 9(2):19-29.XIE Daiyu, LI Hongzhou, CHEN Biao, et al. Multitype energy storage participation peak load regulation model and its optimal scheduling strategy[J]. Distributed Energy,2024, 9(2):19-29.
- [20]白青峰.分时电价及电力交易结算优化研究——基于高比例新能源电力系统的电价机制设计[J].价格理论与实践, 2024(12):203-209.BAI Qingfeng. Research on time-of-use pricing and optimization of electricity trading settlement-design of electricity pricing mechanism based on high proportion new energy power system[J]. Price:Theory&Practice,2024(12):203-209.
- [21]徐子韬,王志昊,张宁,等.面向多时间尺度的新型电力系统电力电量平衡方法研究[J].电力电容器与无功补偿, 2025, 46(2):15-25.XU Zitao, WANG Zhihao, ZHANG Ning, et al.Considering different time scales research on power quantity balance method of new power systems[J]. Power Capacitor&Reactive Power Compensation, 2025, 46(2):15-25.
- [22]刘纯,李湃,张金平,等.储能在新型电力系统电力电量平衡中的作用研究[J].电网技术, 2025, 49(8):3136-3152.LIU Chun, LI Pai, ZHANG Jinping, et al. Research of the role of energy storage system in power and energy balance of the new type power system[J]. Power System Technology, 2025, 49(8):3136-3152.
- [23]彭钢,寇启龙,方涛,等.考虑新能源消纳率的主动配电网储能优化配置策略[J].浙江电力, 2025, 44(1):84-94.PENG Gang, KOU Qilong, FANG Tao, et al. An optimal strategy for energy storage allocation in active distribution networks considering new energy consumption rates[J].Zhejiang Electric Power, 2025, 44(1):84-94.
- [24]夏玉裕,孔彬,王宝安,等.一种适用于新能源消纳与主动支撑场景的新能源电站储能配置方法[J].可再生能源, 2024, 42(8):1104-1110.XIA Yuyu, KONG Bin, WANG Baoan, et al. An energy storage configuration method for new energy power stationsuitable for consumption and active support scenarios[J]. Renewable Energy Resources, 2024, 42(8):1104-1110.
- [25]王杰,苗世洪,王廷涛,等.基于近端策略优化算法的电力系统多类型储能爬坡功率分配策略[J].高电压技术, 2025, 51(9):4796-4806.WANG Jie, MIAO Shihong, WANG Tingtao, et al.Ramping power allocation strategy for multi-type energy storage in power system based on proximal policy optimization[J]. High Voltage Engineering, 2025, 51(9):4796-4806.
- [26]胥德玉,黄媛,唐志远,等.面向配电网分布式光伏消纳和可靠性提高的构网型储能优化配置[J].电力建设,2026, 47(1):1-14.XU Deyu, HUANG Yuan, TANG Zhiyuan, et al. Research on grid-forming energy storage configuration for distributed photovoltaic consumption and reliability improvement of distribution network[J]. Electric Power Construction, 2026, 47(1):1-14