市场环境下考虑需求响应的虚拟电厂经济调度

doi:10.11930/j.issn.1004-9649.202001092

中国电力 ›› 2020, Vol. 53 ›› Issue (9): 172-180.DOI: 10.11930/j.issn.1004-9649.202001092

• 基于虚拟电厂的调度运行优化专栏 • 上一篇下一篇

市场环境下考虑需求响应的虚拟电厂经济调度

刘鑫, 吴红斌, 王鲸杰, 卢俊花

安徽省新能源利用与节能省级实验室（合肥工业大学），安徽合肥 230009

收稿日期:2020-01-19 修回日期:2020-03-10 发布日期:2020-09-09
作者简介:刘鑫(1994—)，男，硕士研究生，从事虚拟电厂与分布式发电技术研究，E-mail: lxinoffice2008@163.com;吴红斌(1972—)，男，通信作者，博士，教授，从事分布式发电微网技术、配电网的仿真分析，E-mail: hfwuhongbin@163.com
基金资助:
国家自然科学基金(区域创新发展联合基金)资助项目(多类型分布式电源接入配电网规划与运行控制理论研究，U19A20106)

Economic Dispatch of a Virtual Power Plant Considering Demand Response in Electricity Market Environment

LIU Xin, WU Hongbin, WANG Jingjie, LU Junhua

Anhui Provincial Laboratory of Renewable Energy Utilization and Energy Saving (Hefei University of Technology), Hefei 230009, China

Received:2020-01-19 Revised:2020-03-10 Published:2020-09-09
Supported by:
This work is supported by the Regional Innovation and Development Joint Fund of National Natural Science Foundation of China under Grant (Research on Planning and Operation Control Theory of Distribution Network with Multi-type Distributed Generations, No.U19A20106)

摘要/Abstract

摘要： 虚拟电厂作为能源互联网中的重要组成部分，在聚合分布式能源和用户侧资源、完善电力市场交易体制等方面发挥着重要作用。由于虚拟电厂中新能源装机容量较大，其出力具有随机性，导致其在电力市场中需要承担惩罚费用。提出以虚拟电厂聚合分布式能源为多类负荷提供电能服务，首先通过蒙特卡洛抽样建立了分布式电源出力不确定性模型。随后在考虑需求响应的前提下，建立了虚拟电厂与用户侧的双层优化模型，以虚拟电厂净收益为上层目标函数，综合考虑市场交易收益、售电收益、发电成本等因素；以用户侧购电成本为下层目标函数，对用户的购电行为、响应行为进行优化。最后，通过算例验证了该模型能够减少虚拟电厂在电力市场中的投标偏差，提高运营收益，并有效降低负荷的购电成本。

关键词: 虚拟电厂, 电力市场, 需求响应, 双层优化, 电动汽车

Abstract: As an important part of the energy Internet, the virtual power plant plays a vital role in aggregating distributed energy and user-side resources and improving the trading system of electricity market. However, due to the large installed capacity of renewable energy in the virtual power plant and its randomness in output, it is needed for the renewable energy to bear the penalty cost in the electricity market. It is proposed to use the virtual power plant to aggregate distributed energy to provide power services for multiple types of loads. Firstly, a distributed power output uncertainty model is established with Monte Carlo sampling. Then, with consideration of the demand response, a bi-level optimization model is established for the virtual power plant and the user side, which takes the virtual plant's net income as the upper objective function, and takes into account of such factors as market transaction income, electricity sales revenue, and power generation cost. And furthermore, the user's power purchase behavior and response behavior are optimized by taking the user-side purchase cost as the lower objective function. Finally, a case study is conducted and the results have verified that the proposed model can reduce the bidding bias of a virtual power plant in the power market and increase the profit, and effectively reduce the load purchase cost as well.

Key words: virtual power plant, electricity market, demand response, bi-level optimization, electric vehicle

刘鑫, 吴红斌, 王鲸杰, 卢俊花. 市场环境下考虑需求响应的虚拟电厂经济调度[J]. 中国电力, 2020, 53(9): 172-180.

LIU Xin, WU Hongbin, WANG Jingjie, LU Junhua. Economic Dispatch of a Virtual Power Plant Considering Demand Response in Electricity Market Environment[J]. Electric Power, 2020, 53(9): 172-180.

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https://www.electricpower.com.cn/CN/Y2020/V53/I9/172

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市场环境下考虑需求响应的虚拟电厂经济调度

Economic Dispatch of a Virtual Power Plant Considering Demand Response in Electricity Market Environment

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市场环境下考虑需求响应的虚拟电厂经济调度

Economic Dispatch of a Virtual Power Plant Considering Demand Response in Electricity Market Environment

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