考虑可调市场和外部需求响应的虚拟电厂优化运行策略

doi:10.11930/j.issn.1004-9649.202309024

中国电力 ›› 2023, Vol. 56 ›› Issue (12): 156-163.DOI: 10.11930/j.issn.1004-9649.202309024

• 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

考虑可调市场和外部需求响应的虚拟电厂优化运行策略

黄蔚亮¹(), 苏志鹏²(), 梁欣怡³, 陈涛³(), 王莉², 周亮²

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

收稿日期:2023-09-06 出版日期:2023-12-28 发布日期:2023-12-28
作者简介:黄蔚亮（1973—），男，通信作者，硕士，高级工程师，从事电力系统运行与控制、电力市场、电力经济学研究，E-mail： huangweiliang@im.gd.csn
苏志鹏（1972—），男，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
陈涛（1989—），男，博士，硕士生导师，从事电力需求侧管理，电力市场研究，人工智能技术应用，E-mail： taoc@seu.edu.cn
基金资助:
南方电网有限公司创新项目（GDKJXM20220333）。

Optimal Operation Strategy for Virtual Power Plant Considering Regulation Market and External Demand Response

Weiliang HUANG¹(), Zhipeng SU²(), Xinyi LIANG³, Tao CHEN³(), Li WANG², Liang ZHOU²

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

Received:2023-09-06 Online:2023-12-28 Published:2023-12-28
Supported by:
This work is supported by Innovative Project of China Southern Power Grid Corporation (No.GDKJXM2020333).

摘要/Abstract

摘要：

虚拟电厂参与电网需求响应已成为新型电力系统削峰填谷的重要手段，提高虚拟电厂在电力市场的获益能力十分关键。为此，提出一种考虑可调市场和外部需求响应的虚拟电厂优化运行策略。首先，建立调节市场（regulating market，RM）和需求响应交换市场（demand response exchange market，DRXM）模型；其次，考虑外部需求响应（external demand response，EDR）灵活性，建立虚拟电厂参与日前和调节市场的运行决策框架。DRXM作为多个EDR供应商的聚合者，向虚拟电厂提供EDR服务，降低RM的不平衡惩罚，提高虚拟电厂经济性；然后，构建虚拟电厂双层优化运行模型，上层虚拟电厂通过参与DRXM降低RM惩罚，实现利润最大化，下层配电系统运营商通过清除日前和调节市场偏差，实现运行成本最小化，采用KKT条件将优化模型转化为单层问题求解；最后，以改进IEEE 33节点配电网系统进行算例分析，验证了所提策略对虚拟电厂获益能力提升的有效性。

关键词: 需求响应, 虚拟电厂, 调节市场, KKT条件, 双层问题

Abstract:

The participation of virtual power plant (VPP) in power grid demand response has become an important means for peak load shaving in new power system. It is critical to consider how to improve the profitability of VPPs in the electricity market. Therefore, This paper proposes an optimal operation strategy for VPP considering regulation market and external demand response. Firstly, the regulation market (RM) and demand response exchange market (DRXM) models are established. Secondly, considering the flexibility of external demand response (EDR), an operation decision framework is established for VPP with EDR to participate in the day-ahead and regulation market. Acting as an aggregator of multiple EDR suppliers, the DRXM provides EDR services to VPP to reduce the imbalance penalty of RM and to improve the economy of VPP. And then, a two-level VPP optimization operation model is established. In the upper level, the VPP maximizes its profits through participating in DRXM to reduce the RM penalty; in the lower level, the distribution system operator minimizes its operating cost through cleaning up the day-ahead market and regulation market deviation. The KKT conditions are used to transform the optimization model into a linear single-layer problem for solution. Finally, the improved IEEE 33-node distribution network system is used for case study, which verifies the effectiveness of the proposed optimal operation strategy in improving the VPP’s benefit ability and the effects of different EDR service ratios on VPP decision-making.

Key words: demand response, virtual power plant, regulation market, KKT condition, two level problem

黄蔚亮, 苏志鹏, 梁欣怡, 陈涛, 王莉, 周亮. 考虑可调市场和外部需求响应的虚拟电厂优化运行策略[J]. 中国电力, 2023, 56(12): 156-163.

Weiliang HUANG, Zhipeng SU, Xinyi LIANG, Tao CHEN, Li WANG, Liang ZHOU. Optimal Operation Strategy for Virtual Power Plant Considering Regulation Market and External Demand Response[J]. Electric Power, 2023, 56(12): 156-163.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202309024

https://www.electricpower.com.cn/CN/Y2023/V56/I12/156

图/表 9

图 1 VPP参与DRXM和RM的决策框架

Fig.1 The decision-making framework for the VPP to participate in the DRXM and the RM

图 2 IEEE 33总线分配系统

Fig.2 The IEEE 33-bus distribution system

图 3 VPP预测负荷和风电预测出力

Fig.3 Forecasted load and wind power of the VPP

图 4 上调和下调RM预测价格

Fig.4 Forecasted up and down RM prices

图 5 日前市场出清价格

Fig.5 Clearing price in the day-ahead market

图 6 日前市场出清功率

Fig.6 Clearing power in the day-ahead market

图 7 RM中的能量交易

Fig.7 Energy transaction in the RM

图 8 EDR=0.6时VPP能量状态

Fig.8 VPP's energy state with EDR=0.6

图 9 不同EDR服务比例VPP在DRXM中的能源交易

Fig.9 Energy transaction of the VPP in the DRXM under different levels of EDR services

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考虑可调市场和外部需求响应的虚拟电厂优化运行策略

Optimal Operation Strategy for Virtual Power Plant Considering Regulation Market and External Demand Response

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考虑可调市场和外部需求响应的虚拟电厂优化运行策略

Optimal Operation Strategy for Virtual Power Plant Considering Regulation Market and External Demand Response

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