考虑多类型主体的日前能量-调峰联合市场优化

张新松, 高希, 朱建峰, 陈沛, 郭云翔, 卢成

太阳能学报 ›› 2024, Vol. 45 ›› Issue (3) : 357-366.

PDF(1641 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(1641 KB)
太阳能学报 ›› 2024, Vol. 45 ›› Issue (3) : 357-366. DOI: 10.19912/j.0254-0096.tynxb.2022-1788

考虑多类型主体的日前能量-调峰联合市场优化

  • 张新松, 高希, 朱建峰, 陈沛, 郭云翔, 卢成
作者信息 +

JOINT OPTIMIZATION OF DAY-AHEAD ENERGY AND PEAK REGULATION CONSIDERING MULTI TYPE MARKET ENTITIES

  • Zhang Xinsong, Gao Xi, Zhu Jianfeng, Chen Pei, Guo Yunxiang, Lu Cheng
Author information +
文章历史 +

摘要

新型电力系统中,风电渗透率持续攀升,调峰需求随之增加,有必要通过日前能量-调峰联合出清调动市场主体调峰意愿,支撑大规模风电消纳。在对燃煤机组、风电场与储能等多类型市场主体调峰能力与报价规则进行分析的基础上,建立综合考虑燃煤机组深度调峰、启停调峰,风电场主动“弃风”调峰与储能充电调峰的日前能量-调峰联合市场优化模型。模型以能量与调峰辅助服务总采购成本最小为优化目标,同时考虑各市场主体技术约束、投标约束与电网潮流约束,是大规模混合整数规划问题,可采用CPLEX求解器求解。基于改进IEEE 14节点系统的仿真实验验证该文所提日前能量-调峰联合市场优化模型与求解方法的有效性。此外,结合仿真实验对各市场主体参与调峰辅助服务的收益进行详细分析。

Abstract

In new electric power systems, wind power penetration level is increasing continuously, thus requiring more peak-regulation capacities. It is necessary to encourage multi type market entities to actively provide peak-regulation services by joint clear of day-ahead energy and peak regulation markets for a purpose of supporting large-scale wind power consumption. This paper firstly analyzes peak-regulation capacities and bid rules of multi type market entities, such as coal-fired generators, wind farms and energy storage systems. On this basis, a joint optimization of day-ahead energy and peak regulation is developed, which simultaneously considers deep and start-stop peak-regulations of coal-fired generators, wind power curtailment peak-regulation of wind farms and charging peak-regulation of energy storage systems. The optimization attempts to minimize total purchase costs of energy and peak-regulation services subject to technology and bid constraints on market entities, together with constraints on power flow, which is a large-scale mixed integer linear programming (MILP), and can be solved by the CPLEX solver. The simulation experiments based on improved IEEE 14-bus systems validate the proposed joint optimization of day-ahead energy and peak regulation and its solving algorithm. In addition, benefits of multi type market entities resulting from providing peak-regulation services are analyzed based on the simulation experiments.

关键词

储能 / 风电 / 电力市场 / 调峰服务 / 联合市场优化

Key words

energy storage / wind power / electricity markets / peak-regulation service / joint optimization

引用本文

导出引用
张新松, 高希, 朱建峰, 陈沛, 郭云翔, 卢成. 考虑多类型主体的日前能量-调峰联合市场优化[J]. 太阳能学报. 2024, 45(3): 357-366 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1788
Zhang Xinsong, Gao Xi, Zhu Jianfeng, Chen Pei, Guo Yunxiang, Lu Cheng. JOINT OPTIMIZATION OF DAY-AHEAD ENERGY AND PEAK REGULATION CONSIDERING MULTI TYPE MARKET ENTITIES[J]. Acta Energiae Solaris Sinica. 2024, 45(3): 357-366 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1788
中图分类号: TM73   

参考文献

[1] 国家能源局. 2022年一季度网上新闻发布会文字实录[EB/OL]. 2022(2022-1-28)[2022-3-30]. www.nea.gov.cn/.202201/28/c_1310445390.htm.
National Energy Administration. Text transcript of the online press conference for the first quarter of2022[EB/OL]. 2022(2022-1-28)[2022-3-30]. www.nea.gov.cn/.202201/28/c_1310445390.htm.
[2] MA H Y, YAN Z, LI M J, et al.Benefit evaluation of the deep peak-regulation market in the northeast China grid[J]. CSEE journal of power and energy systems, 2019, 5(4): 533-544.
[3] 崔杨, 纪银锁, 仲悟之, 等. 基于电-热联合储能的弃风消纳调度方法[J]. 太阳能学报, 2021, 42(12): 192-199.
CUI Y, JI Y S, ZHONG W Z, et al.Dispatching method of wind power curtailment based on electric-thermal combined energy storage[J]. Acta energiae solaris sinica, 2021, 42(12): 192-199.
[4] 何洪浩, 李文军, 陈文, 等. 630 MW超临界火电机组深度调峰适应性研究[J]. 电站系统工程, 2022, 38(1): 50-52.
HE H H, LI W J, CHEN W, et al.Adaptability research on depth peak-load regulation burning mixture of bituminous coal for a supercritical 630 MW unit[J]. Power system engineering, 2022, 38(1): 50-52.
[5] 孙玉树, 杨敏, 师长立, 等. 储能的应用现状和发展趋势分析[J]. 高电压技术, 2020, 46(1): 80-89.
SUN Y S, YANG M, SHI C L, et al.Analysis of application status and development trend of energy storage[J]. High voltage engineering, 2020, 46(1): 80-89.
[6] 崔杨, 周慧娟, 仲悟之, 等. 考虑火电调峰主动性与需求响应的含储能电力系统优化调度[J]. 高电压技术, 2021, 47(5): 1674-1683.
CUI Y, ZHOU H J, ZHONG W Z, et al.Optimal dispatch of power system with energy storage considering deep peak regulation initiative of thermal power and demand response[J]. High voltage engineering, 2021, 47(5): 1674-1683.
[7] 国家能源局. 国家能源局正式启动提升火电灵活性改造示范试点工作[EB/OL], 2016(2016-6-14)[2022-3-30]. www.nea.gov.cn/2016-06/20/c_135451050.htm.
National Energy Administration. The National Energy Administration officially launched the pilot project to improve the flexibility of thermal power plants[EB/OL].2016(2016-6-14)[2022-03-30]. www.nea.gov.cn/2016-06/20/c_135451050.htm.
[8] 国家能源局. 关于促进电储能参与“三北”地区电力辅助服务补偿(市场)机制试点工作的通知[EB/OL], 2016(2016-6-18)[2022-3-30]. http://zfxxgk.nea.gov.cn/auto92/201606/t20160617_2267.htm.
National Energy Administration. Notice on promoting the pilot work that electric energy storage systems participate the compensation (market) mechanism for electric power ancillary services in the“Three Norths”region[EB/OL]. 2016(2016-6-18)[2022-3-30]. http://zfxxgk.nea.gov.cn/auto92/201606/t20160617_2267.htm.
[9] 杨寅平, 曾沅, 秦超, 等. 面向深度调峰的火电机组灵活性改造规划模型[J]. 电力系统自动化, 2021, 45(17): 79-88.
YANG Y P, ZENG Y, QIN C, et al.Planning model for flexibility reformation of thermal power units for deep peak regulation[J]. Automation of electric power systems, 2021, 45(17): 79-88.
[10] GUO Y F, ZHANG Q Z, WANG Z Y.Cooperative peak shaving and voltage regulation in unbalanced distribution feeders[J]. IEEE transactions on power systems, 2021, 36(6): 5235-5244.
[11] 刘永奇, 张弘鹏, 李群, 等. 东北电网电力调峰辅助服务市场设计与实践[J]. 电力系统自动化, 2017, 1(10): 148-154.
LIU Y Q, ZHANG H P, LI Q, et al.Design and practice of peak regulation ancillary service market for northeast China power grid[J]. Automation of electric power systems, 2017, 41(10): 148-154.
[12] 施雄华, 薛忠, 唐健, 等. 考虑火电调峰资源协调优化的广西调峰辅助服务市场实践[J]. 电力系统自动化, 2021, 45(22): 183-190.
SHI X H, XUE Z, TANG J, et al.Practice of peak regulation ancillary service market in Guangxi of China considering coordinative optimization of thermal power peak regulation resources[J]. Automation of electric power systems, 2021, 45(22): 183-190.
[13] 丁强, 任远, 胡晓静, 等. 山西电力现货与深度调峰市场联合优化机制设计与实践[J]. 电网技术, 2021, 45(6): 2219-2228.
DING Q, REN Y, HU X J, et al.Design and practice of joint optimization mechanism for spot market and deep peak shaving regulation market of Shanxi in China[J]. Power system technology, 2021, 45(6): 2219-2228.
[14] 李嘉龙, 陈雨果, 刘思捷, 等. 考虑深度调峰的电力日前市场机制设计[J]. 电力系统自动化, 2019, 43(4): 9-15, 78.
LI J L, CHEN Y G, LIU S J, et al.Mechanism design of day-ahead market considering deep peak regulation[J]. Automation of electric power systems, 2019, 43(4): 9-15, 78.
[15] 张爱枫, 刘或让, 王勇, 等. 计及深度调峰辅助服务与多典型日的年度发电计划优化模[J]. 重庆大学学报, 2023, 46(8): 20-31.
ZHANG A F, LIU H R, WANG Y, et al.Annual power generation plan optimization model considering deep peak regulation auxiliary services and multiple typical day[J]. Journal of Chongqing University, 2023, 46(8): 20-31.
[16] 蔺晨晖, 吴文传, 王彬, 等. 考虑调峰辅助服务的热电联合调度方法[J]. 中国电力, 2019, 52(6): 45-53.
LIN C H, WU W C, WANG B, et al.Coordinated dispatch method of heat and power systems considering peaking ancillary services[J]. Electric power, 2019, 52(6): 45-53.
[17] 陈锦鹏, 胡志坚, 陈嘉滨, 等. 考虑阶梯式碳交易与供需灵活双响应的综合能源系统优化调度[J]. 高电压技术, 2021, 47(9): 3094-3104.
CHEN J P, HU Z J, CHEN J B, et al.Optimal dispatch of integrated energy system considering ladder-type carbon trading and flexible double response of supply and demand[J]. High voltage engineering, 2021, 47(9): 3094-3104.
[18] 李军徽, 邢志同, 穆钢, 等. 供热期调峰约束下电网弃风情况分析[J]. 太阳能学报, 2018, 39(3): 596-602.
LI J H, XING Z T, MU G, et al.Analysis on wind power curtailment under restriction of peak load regulation during heating period[J]. Acta energiae solaris sinica, 2018, 39(3): 596-602.
[19] DAI T, QIAO W.Optimal bidding strategy of a strategic wind power producer in the short-term market[J]. IEEE transactions on sustainable energy, 2015, 6(3): 707-719.
[20] 武昭原, 周明, 姚尚润, 等. 基于合作博弈论的风储联合参与现货市场优化运行策略[J]. 电网技术, 2019, 43(8): 2815-2824.
WU Z Y, ZHOU M, YAO S R, et al.Optimization operation strategy of wind-storage coalition in spot market based on cooperative game theory[J]. Power system technology, 2019, 43(8): 2815-2824.
[21] ZHANG H, LIU Y Q, YAN J, et al.Improved deep mixture density network for regional wind power probabilistic forecasting[J]. IEEE transactions on power systems, 2020, 35(4): 2549-2560.
[22] 彭小圣, 熊磊, 文劲宇, 等. 风电集群短期及超短期功率预测精度改进方法综述[J]. 中国电机工程学报, 2016, 36(23): 6315-6326, 6596.
PENG X S, XIONG L, WEN J W, et al.A summary of the state of the art for short-term and ultra-short-term wind power prediction of regions[J]. Proceedings of the CSEE, 2016, 36(23): 6315-6326, 6596.
[23] 黄际元, 杨俊, 黄治国, 等. 基于扩展短期预测和动态优化的储能调峰策略[J]. 太阳能学报, 2021, 42(9): 470-476.
HUANG J Y, YANG J, HUANG Z G, et al.Control strategy of energy storage power station participating in power grid peak shaving based on extended short-term load forecasting and dynamic optimization[J]. Acta energiae solaris sinica, 2021, 42(9): 470-476.
[24] 李建林, 武亦文, 王楠, 等. 吉瓦级电化学储能电站研究综述及展望[J]. 电力系统自动化, 2021, 45(19): 2-14.
LI J L, WU Y W, WANG N, et al.Review and prospect of Gigawatt-level electrochemical energy storage power station[J]. Automation of electric power systems, 2021, 45(19): 2-14.
[25] 王荔妍, 陈启鑫, 何冠楠, 等. 考虑电池储能寿命模型的发电计划优化[J]. 电力系统自动化, 2019, 43(8): 93-100.
WANG L Y, CHEN Q X, HE G N, et al.Optimization of generation scheduling considering battery energy storage life model[J]. Automation of electric power systems, 2019, 43(8): 93-100.

基金

国家自然科学基金(51877112); 江苏省高等学校自然科学研究重大项目(22KJA470006)

PDF(1641 KB)

Accesses

Citation

Detail

段落导航
相关文章

/