含风电并网的源荷双层机组优化组合模型

李英量, 董志伟, 白博旭, 郭飞燕, 刘梦溪, 李飞

太阳能学报 ›› 2024, Vol. 45 ›› Issue (3) : 399-407.

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (3) : 399-407. DOI: 10.19912/j.0254-0096.tynxb.2022-1821

含风电并网的源荷双层机组优化组合模型

  • 李英量, 董志伟, 白博旭, 郭飞燕, 刘梦溪, 李飞
作者信息 +

OPTIMAL COMBINATION MODEL OF TWO-LAYER SOURCE-LOAD UNIT WITH WIND POWER GRID CONNECTION

  • Li Yingliang, Dong Zhiwei, Bai Boxu, Guo Feiyan, Liu Mengxi, Li Fei
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文章历史 +

摘要

针对系统调峰能力不足,严重限制新能源的消纳问题,提出计及源荷两侧可调节资源的综合市场服务机制与需求响应的双层机组组合模型。上层对荷侧建立计及响应不确定性的以净负荷波动最小为目标函数的价格型需求响应模型;下层对源侧建立包含电力市场深度调峰辅助服务与碳市场奖惩阶梯式碳交易机制的综合市场交易机制,构建以综合运行成本最小为目标函数的机组组合模型;最后,将原问题转化为混合整数线性规划问题,通过设置不同场景验证该模型的有效性。

Abstract

Driven by the “Double Carbon” targets, renewable energy has experienced rapid development. However, the insufficient system peak shaving capability severely limits the integration of renewable energy. Therefore, the comprehensive market service mechanism of source and load and the two-layer unit combination model of demand response are proposed. The price demand response model with the objective function of minimizing the fluctuation of net load is established for the upper layer to the load side In the lower layer, the integrated market trading mechanism is built on the source side, which includes the auxiliary service of peak load regulation and the step-by-step carbon trading mechanism of carbon market. Finally, the original problem is transformed into a mixed integer linear programming problem, and the validity of the model is verified in different scenarios.

关键词

价格型需求响应 / 深度调峰 / 阶梯式碳交易机制 / 响应不确定性 / 风电消纳

Key words

price-based demand response / depth peaking sharing / steered carbon trading mechanism / uncertainty of response / wind power consumption

引用本文

导出引用
李英量, 董志伟, 白博旭, 郭飞燕, 刘梦溪, 李飞. 含风电并网的源荷双层机组优化组合模型[J]. 太阳能学报. 2024, 45(3): 399-407 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1821
Li Yingliang, Dong Zhiwei, Bai Boxu, Guo Feiyan, Liu Mengxi, Li Fei. OPTIMAL COMBINATION MODEL OF TWO-LAYER SOURCE-LOAD UNIT WITH WIND POWER GRID CONNECTION[J]. Acta Energiae Solaris Sinica. 2024, 45(3): 399-407 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1821
中图分类号: TM734   

参考文献

[1] 李晖, 刘栋, 姚丹阳. 面向碳达峰碳中和目标的我国电力系统发展研判[J]. 中国电机工程学报, 2021, 41(18): 6245-6259.
LI H, LIU D, YAO D Y.Analysis and reflection on the development of power system towards the goal of carbon emission peak and carbon neutrality[J]. Proceedings of the CSEE, 2021, 41(18): 6245-6259.
[2] MALLAPATY S.How China could be carbon neutral by mid-century[J]. Nature, 2020, 586(7830): 482-483.
[3] 李英量, 王康, 高兆迪, 等. 考虑风电接入的电压控制区域修正方法研究[J]. 太阳能学报, 2022, 43(9): 258-266.
LI Y L, WANG K, GAO Z D, et al.Research on modification method of voltage control area considering wind power connection[J]. Acta energiae solaris sinica, 2022, 43(9): 258-266.
[4] HOU Q, GUAN Y, YU S.Stochastic differential game model analysis of emission-reduction technology under cost-sharing contracts in the carbon trading market[J]. IEEE access, 2020, 8: 167328-167340.
[5] 李嘉文, 盛德仁, 李蔚, 等. 基于多目标优化和误差修正的短期风速预测[J]. 太阳能学报, 2022, 43(8): 273-280.
LI J W, SHENG D R, LI W, et al.Short-term wind speed prediction based on multi-objective optimization and error correction[J]. Acta energiae solaris sinica, 2022, 43(8): 273-280.
[6] 陈锦鹏, 胡志坚, 陈颖光, 等. 考虑阶梯式碳交易机制与电制氢的综合能源系统热电优化[J]. 电力自动化设备, 2021, 41(9): 48-55.
CHEN J P, HU Z J, CHEN Y G, et al.Thermoelectric optimization of integrated energy system considering ladder-type carbon trading mechanism and electric hydrogen production[J]. Electric power automation equipment, 2021, 41(9): 48-55.
[7] DVORKIN Y, LUBIN M, BACKHAUS S, et al.Uncertainty sets for wind power generation[C]//2016 IEEE Power and Energy Society General Meeting (PESGM). Boston, MA, USA, 2016: 1.
[8] 丁雨昊, 吕干云, 刘永卫, 等. 考虑碳排放目标约束和需求侧响应的综合能源系统日前优化调度[J]. 南方电网技术, 2022, 16(8): 1-11.
DING Y H, LYU G Y, LIU Y W, et al.Day-ahead optimal scheduling of integrated energy system considering carbon emission target constraints and demand side response[J]. Southern power system technology, 2022, 16(8): 1-11.
[9] 杨欢红, 谢明洋, 黄文焘, 等. 含废物处理的城市综合能源系统低碳经济运行策略[J]. 电网技术, 2021, 45(9): 3545-3552.
YANG H H, XIE M Y, HUANG W T, et al.Low-carbon economic operation of urban integrated energy system including waste treatment[J]. Power system technology, 2021, 45(9): 3545-3552.
[10] 李旭东, 艾欣, 胡俊杰, 等. 计及碳交易机制的核-火-虚拟电厂三阶段联合调峰策略研究[J]. 电网技术, 2019, 43(7): 2460-2470.
LI X D, AI X, HU J J, et al.Three-stage combined peak regulation strategy for nuclear-thermal-virtual power plant considering carbon trading mechanism[J]. Power system technology, 2019, 43(7): 2460-2470.
[11] 孙莹, 李晓鹏, 蔡文斌, 等. 面向新能源消纳的调峰辅助服务市场研究综述[J]. 现代电力, 2022, 39(6): 668-676.
SUN Y, LI X P, CAI W B, et al.A research overview on ancillary services market of peak regulation oriented to accommodation of new energy[J]. Modern electric power, 2022, 39(6): 668-676.
[12] 李聪, 何勇琪, 宋丽珠, 等. 多类型电源参与的调峰辅助服务市场模型[J]. 电气传动, 2021, 51(24): 46-51.
LI C, HE Y Q, SONG L Z, et al.Peak shaving auxiliary service market model with multi-type power participation[J]. Electric drive, 2021, 51(24): 46-51.
[13] 李铁, 李正文, 杨俊友, 等. 计及调峰主动性的风光水火储多能系统互补协调优化调度[J]. 电网技术, 2020, 44(10): 3622-3630.
LI T, LI Z W, YANG J Y, et al.Coordination and optimal scheduling of multi-energy complementary system considering peak regulation initiative[J]. Power system technology, 2020, 44(10): 3622-3630.
[14] 任景, 薛晨, 马晓伟, 等. 源荷联动调峰辅助服务市场两阶段模型[J]. 电力系统自动化, 2021, 45(18): 94-102.
REN J, XUE C, MA X W, et al.Two-stage model of peak regulation ancillary service market with source-load interaction[J]. Automation of electric power systems, 2021, 45(18): 94-102.
[15] 邓婷婷, 娄素华, 田旭, 等. 计及需求响应与火电深度调峰的含风电系统优化调度[J]. 电力系统自动化, 2019, 43(15): 34-41.
DENG T T, LOU S H, TIAN X, et al.Optimal dispatch of power system integrated with wind power considering demand response and deep peak regulation of thermal power units[J]. Automation of electric power systems, 2019, 43(15): 34-41.
[16] 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, 140, 134.
LI J H, ZHANG J H, MU G, 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, 140, 134.
[17] 崔杨, 修志坚, 刘闯, 等. 计及需求响应与火-储深度调峰定价策略的电力系统双层优化调度[J]. 中国电机工程学报, 2021, 41(13): 4403-4415.
CUI Y, XIU Z J, LIU C, et al.Dual level optimal dispatch of power system considering demand response and pricing strategy on deep peak regulation[J]. Proceedings of the CSEE, 2021, 41(13): 4403-4415.
[18] 刘小聪, 王蓓蓓, 李扬, 等. 计及需求侧资源的大规模风电消纳随机机组组合模型[J]. 中国电机工程学报, 2015, 35(14): 3714-3723.
LIU X C, WANG B B, LI Y, et al.Stochastic unit commitment model for high wind power integration considering demand side resources[J]. Proceedings of the CSEE, 2015, 35(14): 3714-3723.
[19] 彭春华, 刘兵, 左丽霞, 等. 计及分类需求响应的孤岛微网并行多目标优化调度[J]. 电力系统保护与控制, 2019, 47(5): 60-68.
PENG C H, LIU B, ZUO L X, et al.Parallel multi-objective optimal dispatch of island micro-grid considering load classified demand response[J]. Power system protection and control, 2019, 47(5): 60-68.
[20] 陈哲, 张伊宁, 马光, 等. 计及需求侧响应日前—日内两阶段鲁棒备用优化[J]. 电力系统自动化, 2019, 43(24): 67-76.
CHEN Z, ZHANG Y N, MA G, et al.Two-stage day-ahead and intra-day robust reserve optimization considering demand response[J]. Automation of electric power systems, 2019, 43(24): 67-76.
[21] 孔昱凯, 温步瀛, 唐雨晨. 考虑辅助服务含储能区域电网运行优化[J]. 电气技术, 2021, 22(4): 26-32, 77.
KONG Y K, WEN B Y, TANG Y C.Operation optimization for regional grid containing energy storage considering auxiliary service[J]. Electrical engineering, 2021, 22(4): 26-32, 77.
[22] 崔杨, 张家瑞, 王铮, 等. 计及价格型需求响应的风-光-光热联合发电系统日前调度策略[J]. 中国电机工程学报, 2020, 40(10): 3103-3114.
CUI Y, ZHANG J R, WANG Z, et al.Day-ahead scheduling strategy of wind-PV-CSP hybrid power generation system by considering PDR[J]. Proceedings of the CSEE, 2020, 40(10): 3103-3114.
[23] 汪超群, 韦化, 吴思缘. 基于信息间隙决策理论的多源联合优化机组组合[J]. 中国电机工程学报, 2018, 38(12): 3431-3440, 2.
WANG C Q, WEI H, WU S Y.Multi-power combined unit commitment based on information gap decision theory[J]. Proceedings of the CSEE, 2018, 38(12): 3431-3440, 2.
[24] 国家能源局西北监管局. 国家能源局西北监管局官方网站.国家能源局西北监管局关于征求《青海省电力辅助服务市场运营规则》(征求意见稿)意见建议的通知.[EB/OL]. http://xbj.nea.gov.cn/website/Aastatic/news-217122.html.
Northwest Regulatory Bureau of National Energy Administration. Northwest Regulatory Bureau of National Energy Administration official website. Northwest Regulatory Bureau of National Energy Administration issues a notice on soliciting opinions and suggestions on the "Operating Rules of Qinghai Electric Power Ancillary Service Market" (draft for comment)[EB/OL]. http://xbj.nea.gov.cn/website/Aastatic/news-217122.html.
[25] 国家发展改革委: 进一步完善煤炭市场价格形成机制[J]. 中国农资, 2022(4): 1.
National development and reform commission: further improve the price formation mechanism of coal market[J]. China agri-production news, 2022(4): 1.

基金

陕西省自然科学基础研究计划(2024JC-YBMS-405); 国家重点研发计划(2023YFC2810902); 国家自然科学基金面上项目(52174005),国家自然科学基金企业创新发展联合基金重点项目(U20B2029)

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