考虑阶梯式碳交易及综合需求响应的虚拟电厂优化调度

doi:10.11930/j.issn.1004-9649.202308094

中国电力 ›› 2023, Vol. 56 ›› Issue (12): 174-182.DOI: 10.11930/j.issn.1004-9649.202308094

• 低碳园区综合能源系统规划与运行关键技术 • 上一篇下一篇

考虑阶梯式碳交易及综合需求响应的虚拟电厂优化调度

苏志鹏¹(), 王莉¹(), 梁欣怡²(), 陈涛²(), 曾顺奇¹, 余志文¹

1. 广东电网有限责任公司广州供电局，广东广州　510620
2. 东南大学电气工程学院，江苏南京　210096

收稿日期:2023-08-23 出版日期:2023-12-28 发布日期:2023-12-28
作者简介:苏志鹏（1972—），男，通信作者，硕士，高级工程师，从事电力市场、电力经济、虚拟电厂等研究，E-mail： yacafly@sina.com
王莉（1969—），女，硕士，高级工程师（教授级），从事继电保护、智能电网、虚拟电厂等研究，E-mail： 13809779650@139.com
梁欣怡（1995—），女，博士，从事虚拟电厂、电力需求侧管理等研究，E-mail： lxy_567321@163.com
陈涛（1989—），男，博士，讲师，硕士生导师，从事电力需求侧管理，电力市场，人工智能技术应用等研究，E-mail： taoc@seu.edu.cn
基金资助:
南方电网有限公司创新项目（规模化灵活资源虚拟电厂聚合互动调控关键技术研究，GDKJXM20220333）。

Optimal Dispatch of Virtual Power Plant Considering Stepped Carbon Trading and Comprehensive Demand Response

Zhipeng SU¹(), Li WANG¹(), Xinyi LIANG²(), Tao CHEN²(), Shunqi ZENG¹, Zhiwen YU¹

1. Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd. CSG, Guangzhou 510620, China
2. Southeast University School of Electrical Engineering, Nanjing 210096, China

Received:2023-08-23 Online:2023-12-28 Published:2023-12-28
Supported by:
This work is supported by Science and Technology Project of China Southern Power Grid Corporation (Research on Key Technologies of Aggregation and Interactive Regulation of Large-Scale Flexible Resource Virtual Power Plant, No.GDKJXM20220333).

摘要/Abstract

摘要：

双碳目标下，多能耦合协同运行的虚拟电厂（virtual power plant，VPP）能够有效提升系统经济效益。为降低VPP碳排放量，同时挖掘其需求侧可调节潜力，提出一种考虑阶梯碳交易及综合需求响应的虚拟电厂优化调度模型。首先，基于阶梯式碳交易机制，考虑虚拟电厂各组成元件约束，建立参与碳交易市场的虚拟电厂模型；其次，将需求响应分为价格型需求响应和替代性需求响应，分别构建响应模型；最后，考虑购能成本、系统运营成本和阶梯式碳交易成本，以VPP在调度周期内收益最大为目标函数建立虚拟电厂低碳经济运行模型，并通过算例仿真验证所提模型的有效性。

关键词: 需求响应, 虚拟电厂, 阶梯式碳交易, 低碳运行

Abstract:

Under the goal of "double carbon", the virtual power plant (VPP) with multi-energy coupling and collaborative operation can effectively reduce the carbon emissions and improve the economic benefits of the system. In order to further reduce VPP carbon emissions and tap the demand side adjustable potential a VPP optimal scheduling model was proposed considering stepped carbon trading and integrated demand response. Firstly, based on the stepped carbon trading mechanism, considering the constraints of each VPP component, a VPP model is established to participate in the carbon trading market. Secondly, the demand response is divided into price demand response and alternative demand response, and the demand response model are constructed respectively. Finally, considering the energy purchase cost, system operation cost and stepped carbon transaction cost, a VPP low-carbon economic operation model is established with the goal of maximizing the benefits of VPP in a scheduling cycle, and the effectiveness of the model was verified by numerical analysis.

Key words: demand response, virtual power plant, stepped carbon trading, low-carbon operation

苏志鹏, 王莉, 梁欣怡, 陈涛, 曾顺奇, 余志文. 考虑阶梯式碳交易及综合需求响应的虚拟电厂优化调度[J]. 中国电力, 2023, 56(12): 174-182.

Zhipeng SU, Li WANG, Xinyi LIANG, Tao CHEN, Shunqi ZENG, Zhiwen YU. Optimal Dispatch of Virtual Power Plant Considering Stepped Carbon Trading and Comprehensive Demand Response[J]. Electric Power, 2023, 56(12): 174-182.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202308094

https://www.electricpower.com.cn/CN/Y2023/V56/I12/174

图/表 7

图 1 VPP系统结构

Fig.1 VPP system architecture diagram

图 2 不确定性变量预测值

Fig.2 Predicted values of uncertain variables

图 3 热功率平衡调度结果

Fig.3 Thermal power balance scheduling results

图 4 电功率平衡调度结果

Fig.4 Electric power balance dispatching results

图 5 需求响应负荷曲线

Fig.5 Demand response load curve

图 6 不同参数对碳排放量及效益的影响

Fig.6 Impact of different parameters on carbon emissions and benefits

表 1 参与需求响应前后系统成本对比

Table 1 Comparison of system costs before and after participating in demand response 单位：元

场景	成本	毛利润	净利润
参与前	36353	52745	16392
参与后	31571	60292	28721

参考文献 25

1	习近平在第七十五届联合国大会一般性辩论上发表重要讲话[EB/OL]. (2021-02-03)[2020-09-22]. http://www.gov.cn/xinwen/2020-09/22/content_5546168.htm.
2	习近平在气候雄心峰会上的讲话 (全文) [EB/OL]. (2021-02-03) [2020-12-12].https://www.ccps.gov.cn/xxsxk/zyls/202012/t202012 13_145612.shtm.
3	崔杨, 安宁, 付小标, 等. 面向高比例新能源电力系统调峰需求的储能容量配置方法综述[J]. 东北电力大学学报, 2023, 43 (1): 1- 8.
	CUI Yang, AN Ning, FU Xiaobiao, et al. Overview of energy storage capacity allocation methods for high-proportion new energy power system peak shaving demand[J]. Journal of Northeast Electric Power University, 2023, 43 (1): 1- 8.
4	李志伟, 隋旭光, 车铭, 等. 基于虚拟发电厂的火电机组厂级负荷两级分配方法研究[J]. 东北电力大学学报, 2023, 43 (5): 12- 17.
	LI Zhiwei, SUI Xuguang, CHE Ming, et al. Research on two-level distribution method of plant-level load for thermal power unit based on virtual power plant[J]. Journal of Northeast Electric Power University, 2023, 43 (5): 12- 17.
5	谢宏伟, 严强, 李扬, 等. 市场模式下兼顾区域负荷特性的多虚拟电厂分布式协调优化[J]. 电力自动化设备, 2023, 43 (5): 199- 209.
	XIE Hongwei, YAN Qiang, LI Yang, et al. Distributed coordination optimization of multiple virtual power plants considering regional load characteristics in market[J]. Electric Power Automation Equipment, 2023, 43 (5): 199- 209.
6	陈宇扬, 邵军杰, 陈进举正, 等. 考虑用电满意度与响应量期望的虚拟电厂需求响应交易模型[J]. 电力自动化设备, 2023, 43 (5): 226- 234.
	CHEN Yuyang, SHAO Junjie, CHEN Jinjuzheng, et al. Demand response trading model of virtual power plant considering electricity consumption satisfaction degree and response quantity expectation[J]. Electric Power Automation Equipment, 2023, 43 (5): 226- 234.
7	呙金瑞, 张智俊, 窦春霞. 基于信息间隙决策理论与动态分时电价的电动汽车接入虚拟电厂双层经济调度策略[J]. 电力自动化设备, 2022, 42 (10): 77- 85.
	GUO Jinrui, ZHANG Zhijun, DOU Chunxia. Bi-level economic dispatch strategy for electric vehicles connecting to virtual power plant based on information gap decision theory and dynamic time-of-use price[J]. Electric Power Automation Equipment, 2022, 42 (10): 77- 85.
8	陈妤, 卫志农, 胥峥, 等. 电力体制改革下的多虚拟电厂联合优化调度策略[J]. 电力系统自动化, 2019, 43 (7): 42- 49, 165.
	CHEN Yu, WEI Zhinong, HUANG Wenjin, et al. Optimal scheduling strategy of multiple virtual power plants under electricity market reform[J]. Automation of Electric Power Systems, 2019, 43 (7): 42- 49, 165.
9	刘然, 赵洪山. 考虑污染物排放约束的传统电厂与虚拟电厂间环境经济调度模型[J]. 电力建设, 2017, 38 (9): 53- 59.
	LIU Ran, ZHAO Hongshan. An environmental/economic dispatch model for conventional power plants and virtual power plants considering pollutant emission constraint[J]. Electric Power Construction, 2017, 38 (9): 53- 59.
10	袁桂丽, 王琳博, 王宝源. 基于虚拟电厂“热电解耦”的负荷优化调度及经济效益分析[J]. 中国电机工程学报, 2017, 37 (17): 4974- 4985.
	YUAN Guili, WANG Linbo, WANG Baoyuan. Optimal fispatch of heat-power load and economy benefit analysis based on decoupling of heat and power of virtual power plant[J]. Proceedings of the CSEE, 2017, 37 (17): 4974- 4985.
11	谭洪, 颜伟, 王浩. 基于建筑物热能流分析的沼–风–光孤立微能网优化调度模型[J]. 电网技术, 2020, 44 (7): 2483- 2492. DOI
	TAN Hong, Yan Wei, WANG Hao. Optimal fispatch model of biogas-wind-solar isolated multi-energy micro-grid based on thermal energy flow analysis of buildings[J]. Power System Technology, 2020, 44 (7): 2483- 2492. DOI
12	陈景东, 赵沛. 碳交易试点政策与电力行业碳减排[J]. 中国电力, 2021, 54 (12): 156- 161.
	CHEN Jingdong, ZHAO Pei. Carbon emissions trading pilot policy and power industry emissions reductions[J]. Electric Power, 2021, 54 (12): 156- 161.
13	张立辉, 戴谷禹, 聂青云, 等. 碳交易机制下计及用电行为的虚拟电厂经济调度模型[J]. 电力系统保护与控制, 2020, 48 (24): 154- 163.
	ZHANG Lihui, DAI Guyu, NIE Qingyun, et al. Economic dispatch model of virtual power plant considering electricity consumption under a carbon trading mechanism[J]. Power System Protection and Control, 2020, 48 (24): 154- 163.
14	袁桂丽, 刘骅骐, 禹建芳, 等. 含碳捕集热电机组的虚拟电厂热电联合优化调度[J]. 中国电机工程学报, 2022, 42 (12): 4440- 4449.
	YUAN Guili, LIU Huaqi, YU Jianfang, et al. Combined heat and power optimal dispatching in virtual power plant with carbon capture cogeneration unit[J]. Proceedings of the CSEE, 2022, 42 (12): 4440- 4449.
15	李翼成, 赵钰婷, 崔杨, 等. 考虑充放电策略的换电站与风电-碳捕集虚拟电厂的低碳经济调度[J]. 电力自动化设备, 2023, 43 (6): 27- 36.
	LI Yicheng, ZHAO Yuting, CUI Yang, et al. Low-carbon economic dispatching of battery swapping station and wind power-carbon capture virtual power plant considering charging and discharging strategy[J]. Electric Power Automation Equipment, 2023, 43 (6): 27- 36.
16	王佳惠, 牛玉广, 陈玥, 等. 电-碳联合市场下虚拟电厂主从博弈优化调度[J]. 电力自动化设备, 2023, 43 (5): 235- 242.
	WANG Jiahui, NIU Yuguang, CHEN Yue, et al. Master-slave game optimal dispatching of virtual power plant under electricity-carbon joint market[J]. Electric Power Automation Equipment, 2023, 43 (5): 235- 242.
17	袁桂丽, 刘培德, 唐福斌, 等. 计及绿色电力证书与碳交易制度的“源-荷”协调优化调度[J]. 太阳能学报, 2022, 43 (6): 190- 195.
	Yuan Guili, Liu Peide, Tang Fubin, et al. Source-load coordinating optimal scheduling considering green power gertificate and carbon trading mechanisms[J]. Acta Energiae Solaris Sinica, 2022, 43 (6): 190- 195.
18	冯帅, 袁至, 李骥, 等. 碳交易背景下基于综合协调储能系统的碳捕集电厂优化调度[J]. 中国电力, 2023, 56 (6): 139- 147.
	FENG Shuai, YUAN Zhi, LI Ji, et al. Optimal scheduling of carbon capture power plants based on integrated coordinated energy storage system under the background of carbon trading[J]. Electric Power, 2023, 56 (6): 139- 147.
19	魏震波, 马新如, 郭毅, 等. 碳交易机制下考虑需求响应的综合能源系统优化运行[J]. 电力建设, 2022, 43 (1): 1- 9.
	WEI Zhenbo, MA Xinru, GUO Yi, et al. Optimized operation of integrated energy system considering demand response under carbon trading mechanism[J]. Electric Power Construction, 2022, 43 (1): 1- 9.
20	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 Jinpeng, HU Zhijian, CHEN Yingguang, et al. Thermoelectric optimization of integrated energy system considering stepped carbon trading mechanism and electric hydrogen production[J]. Electric Power Automation Equipment, 2021, 41 (9): 48- 55.
21	崔杨, 曾鹏, 仲悟之, 等. 考虑阶梯式碳交易的电-气-热综合能源系统低碳经济调度[J]. 电力自动化设备, 2021, 41 (3): 10- 17.
	CUI Yang, ZENG Peng, ZHONG Wuzhi, et al. Low-carbon economic dispatch of electricity-gas-heat integrated energy system based on ladder-type carbon trading[J]. Electric Power Automation Equipment, 2021, 41 (3): 10- 17.
22	刘一童, 李本新. 计及风电相关性的电-气综合能源系统概率能量流分析[J]. 东北电力大学学报, 2023, 43 (2): 39- 47.
	LIU Yitong, LI Benxin. Probabilistic energy flow analysis for electricity-gas integrated energy systems with wind power correlation[J]. Journal of Northeast Electric Power University, 2023, 43 (2): 39- 47.
23	席佳铭, 孙亮, 葛沛然, 等. 考虑电热需求响应的光热-电热综合能源系统源荷协调经济调度[J]. 东北电力大学学报, 2023, 43 (3): 61- 71.
	XI Jiaming, SUN Liang, GE Peiran, et al. Source-charge coordinated economic dispatching of photothermal-electrothermal integrated energy system considering electric heating demand response[J]. Journal of Northeast Electric Power University, 2023, 43 (3): 61- 71.
24	朱辉, 闫腾飞, 丁一, 等. 基于改进的AHP-CRITIC综合权重计算法的多元用户用能行为特性刻画及评价方法[J]. 东北电力大学学报, 2023, 43 (5): 70- 77.
	ZHU Hui, YAN Tengfei, DING Yi, et al. Characterization andevaluation method for multi-user energy consumption behavior based on the improved AHP-CRITIC composite weighting approach[J]. Journal of Northeast Electric Power University, 2023, 43 (5): 70- 77.
25	曲嘉伟, 朱乐为, 刘泽宇, 等. 计及压缩空气储能的综合能源微网可靠性评估[J]. 东北电力大学学报, 2022, 42 (6): 8- 18, 105.
	QU Jiawei, ZHU Lewei, LIU Zeyu, et al. Reliability assessment for integrated energy microgrid system with compressed air energy storage[J]. Journal of Northeast Electric Power University, 2022, 42 (6): 8- 18, 105.

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考虑阶梯式碳交易及综合需求响应的虚拟电厂优化调度

Optimal Dispatch of Virtual Power Plant Considering Stepped Carbon Trading and Comprehensive Demand Response

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Optimal Dispatch of Virtual Power Plant Considering Stepped Carbon Trading and Comprehensive Demand Response

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