针对用于波动平抑的新能源侧储能电站参与电力市场的运行决策策略问题,基于现有储能参与电力市场的政策,提出一种新能源侧储能电站平抑波动剩余容量参与电能量市场与调频市场的应用模式,日前阶段制订运行计划,实时阶段滚动优化储能电站运行决策,考虑调频市场需求不确定性以及调频功率越限对储能调频收益的影响,以新能源功率与电价预测曲线为输入条件,构建计及新能源波动平抑的储能电站参与电力市场日前-实时运行决策策略模型,利用大M法将决策模型线性化,调用商业优化求解器CPLEX进行求解。算例分析表明所提策略能充分利用储能功率及容量,在降低储能电站能量越限的概率同时提高了储能电站运行经济性。
Abstract
In order to address the operational decision-making strategy of new energy-side energy storage power plant used for fluctuation smoothing to participate in the power market, this paper proposes an application model of new energy-side energy storage power plant for fluctuation smoothing to participate in the electric energy market and the frequency regulation market based on the existing policy of energy storage participation in the power market, with an operational plan formulated at the day-ahead stage, and the operational decision-making of the storage plant optimized at the real-time stage on a rolling basis, taking into account the uncertainty of the demand in the frequency regulation market as well as the impact of the over-limit of the frequency regulation power on the frequency regulation gain of energy storage, and using the new energy power and tariff prediction curve as the input condition. Taking the new energy power and electricity price prediction curves as input conditions, we construct a day-ahead and real-time operation decision-making strategy model for energy storage plant participation in the electricity market that takes into account new energy fluctuation smoothing, linearize the decision model using the big M method and call the commercial optimization solver CPLEX to solve it. Example analysis shows that the proposed strategy can fully utilize the storage power and capacity, and improve the operation economy of the storage plant while reducing the probability of energy overrun.
关键词
电池储能 /
运行成本 /
约束优化 /
新型电力系统
Key words
battery storage /
operating costs /
constrained optimization /
new electric power system
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参考文献
[1] 李更丰, 孙少华, 别朝红, 等.面向新型电力系统弹性提升的储能优化配置与灵活调度研究综述[J]. 高电压技术, 2023, 49(10): 4084-4095.
LI G F, SUN S H, BIE Z H, et al.Review on optimal configuration and flexible scheduling research of energy storage for resilience improvement of new power system[J]. High voltage engineering, 2023, 49(10): 4084-4095.
[2] 刘联涛, 刘飞, 吉平, 等. 储能参与新能源消纳的优化控制策略[J]. 中国电力, 2023, 56(3): 137-143.
LIU L T, LIU F, JI P, et al.Research on optimal control strategy of energy storage for improving new energy consumption[J]. Electric power, 2023, 56(3): 137-143.
[3] 徐辉, 谭振龙. 以自调度模式破解新能源配储“建而不用”难题[J]. 中国电力企业管理, 2024, (34): 55-59.
XU H, TAN Z L.Using self scheduling mode to solve the problem of "building without using" new energy distribution and storage[J]. China power enterprise management, 2024, (34): 55-59.
[4] 中国电力企业联合会. 2024年上半年电化学储能电站行业统计数据[EB/OL]. https://baijiahao.baidu.com/s?id=1809792671206703353&wfr=spider&for=pc.
China Electricity Council. Statistical data of electrochemical energy storage power plant industry in the first half of2024[EB/OL].https://baijiahao.baidu.com/s?id=1809792671206703353&wfr=spider&for=pc.
[5] 马昱欣, 胡泽春, 刁锐. 新能源场站共享储能提供调频服务的日前优化策略[J]. 电网技术, 2022, 46(10): 3857-3868.
MA Y X, HU Z C, DIAO R.Day-ahead optimization strategy for shared energy storage of renewable energy power stations to provide frequency regulation service[J]. Power system technology, 2022, 46(10): 3857-3868.
[6] 栾天, 杨争林, 李继红, 等. 适应电化学储能成本特性的电力市场机制设计[J]. 电力系统自动化, 2024, 48(4): 101-110.
LUAN T, YANG Z L, LI J H, et al.Design of electricity market mechanism adapting to cost characteristics of electrochemical energy storage[J]. Automation of electric power systems, 2024, 48(4): 101-110.
[7] WANG Y K, ZHU X P, JIANG Z Y, et al.Battery energy storage system participates in power market analysis based on energy distribution[C]//2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). Changsha, China, 2019: 1108-1112.
[8] 贾禾, 彭晋卿, 李念平, 等. 动态电价下分布式光伏-储能系统优化与经济性分析[J]. 太阳能学报, 2021, 42(5): 187-193.
JIA H, PENG J Q, LI N P, et al.Optimization and economic analysis of distributed photovoltaic-energy storage system under dynamic electricity price[J]. Acta energiae solaris sinica, 2021, 42(5): 187-193.
[9] 林立乾, 米增强, 贾雨龙, 等. 面向电力市场的分布式储能聚合参与电网调峰[J]. 储能科学与技术, 2019, 8(2): 276-283.
LIN L Q, MI Z Q, JIA Y L, et al.Distributed energy storage aggregation for power grid peak shaving in a power market[J]. Energy storage science and technology, 2019, 8(2): 276-283.
[10] 王振浩, 马爽, 李国庆, 等. 考虑复合储能电站接入的电网日前-日内两阶段滚动优化调度[J]. 太阳能学报, 2022, 43(10): 400-408.
WANG Z H, MA S, LI G Q, et al.Day-ahead and intra-day two-stage rolling optimal dispatch of power grid considering access of composite energy storage power stations[J]. Acta energiae solaris sinica, 2022, 43(10): 400-408.
[11] 何翔路, 娄素华, 吴耀武, 等. 双结算模式下风储一体化电站两阶段市场投标调度策略[J]. 电力系统自动化, 2022, 46(4): 47-55.
HE X L, LOU S H, WU Y W, et al.Two-stage market bidding and scheduling strategy of integrated wind power and energy storage station in dual-settlement mode[J]. Automation of electric power systems, 2022, 46(4): 47-55.
[12] 郑浩伟, 闫庆友, 尹哲, 等. 计及日前-实时交易和共享储能的VPP运行优化及双层效益分配[J]. 电力建设, 2022, 43(9): 34-46.
ZHENG H W, YAN Q Y, YIN Z, et al.VPP operation optimization and bilayer revenue distribution model considering the two-level market and shared energy storage[J]. Electric power construction, 2022, 43(9): 34-46.
[13] 国家能源局. 电力并网运行管理规定[EB/OL].http://zfxxgk.nea.gov.cn/2021-12/21/c_1310391369.htm.
National Energy Administration.Regulations on the management of electric power grid connection operation[EB/OL]. http://zfxxgk.nea.gov.cn/2021-12/21/c_1310391369.htm.
[14] 国家能源局. 电力辅助服务管理办法[EB/OL].http://zfxxgk.nea.gov.cn/2021-12/21/c_1310391161.htm?eqid=
a78f623000030466000000026433c6e4.
National Energy Administration.Management measures for electric power auxiliary services[EB/OL]. http://zfxxgk.nea.gov.cn/2021-12/21/c_1310391161.htm?eqid=a78f623000030466000000026433c6e4.
[15] 徐宁, 周波, 凌云鹏, 等. 现货市场下独立储能参与能量与辅助服务协同优化策略[J]. 现代电力, 2025, 42(1): 109-116.
XU N, ZHOU B, LING Y P, et al.Collaborative optimization strategy of energy and auxiliary services with independent energy storage participating under the spot market[J]. Modern electric power, 2025, 42(1): 109-116.
[16] 冯长胜. 风储联合系统参与电力现货市场的投标策略[D]. 吉林: 东北电力大学, 2023.
FENG C S.The combined wind-storage system participates in the electricity market bidding strategy[D]. Jilin: Northeast Electric Power University, 2023.
[17] 赵团团, 邬昌军, 巩晓赟. 基于最优滚动控制域的储能控制策略[J]. 太阳能学报, 2023, 44(2): 247-253.
ZHAO T T, WU C J, GONG X Y.Energy storage control strategy based on optimal rolling control domain[J]. Acta energiae solaris sinica, 2023, 44(2): 247-253.
[18] 吴杰, 丁明. 采用自适应小波包分解的混合储能平抑风电波动控制策略[J]. 电力系统自动化, 2017, 41(3): 7-12.
WU J, DING M.Wind power fluctuation smoothing strategy of hybrid energy storage system using self-adaptive wavelet packet decomposition[J]. Automation of electric power systems, 2017, 41(3): 7-12.
[19] ZHANG H C, HU Z C, MUNSING E, et al.Data-driven chance-constrained regulation capacity offering for distributed energy resources[J]. IEEE transactions on smart grid, 2019, 10(3): 2713-2725.
[20] 何颖源, 陈永翀, 刘勇, 等. 储能的度电成本和里程成本分析[J]. 电工电能新技术, 2019, 38(9): 1-10.
HE Y Y, CHEN Y C, LIU Y, et al.Analysis of cost per kilowatt-hour and cost per mileage for energy storage technologies[J]. Advanced technology of electrical engineering and energy, 2019, 38(9): 1-10.
基金
辽宁电力交易中心有限公司科技项目（SGTYHT/21-WT-255）
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