• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2019, Vol. 40 ›› Issue (11): 24-30.doi: 10.3969/j.issn.1000-7229.2019.11.004

• 可交易能源系统·栏目主持 文福拴教授、杨甲甲博士、刘伟佳博士· • 上一篇    下一篇

计及电动汽车和可控负荷的需求侧能源交易机制

刘伟佳1, 文福拴1, 马莉2, 薛松2   

  1. 1. 浙江大学电气工程学院, 杭州市 310027;2.国网能源研究院有限公司,北京市 102209
  • 出版日期:2019-11-01
  • 作者简介:刘伟佳 (1989), 男, 博士后, 主要从事电力系统恢复和智能电网等方面的研究工作; 文福拴 (1965),男,通信作者,博士,教授,博士生导师,主要从事电力系统故障诊断与系统恢复、电力经济与电力市场、智能电网与电动汽车等方面的研究工作; 马莉 (1975),女,博士,教授级高级工程师,主要从事电力体制改革、电力市场建设、配售电改革等方面的研究工作; 薛松 (1986),男,博士,高级工程师,主要从事配售电改革、电力市场与能源经济等方面的研究工作。
  • 基金资助:
    国家电网公司科技项目“支撑客户侧综合资源互动交易服务的‘区块链’技术”

Demand-Side Transactive Energy Mechanism Considering Electric Vehicles and Controlable Loads

LIU Weijia1, WEN Fushuan1, MA Li2, XUE Song2   

  1. 1. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
  • Online:2019-11-01
  • Supported by:
    This work is supported by “Block chain technology for supporting integrated energy interactive trading services at the customer side” from State Grid Corporation of China.

摘要: 分布式可再生能源发电渗透率的提高对电力系统尤其是配电系统的优化运行提出了更高的要求。作为新兴的协调分布式能源的市场机制, 能源交易为分布式可再生能源发电大量接入配电系统提供了可行的解决方案。在此背景下,以需求侧能源交易为例, 研究能源交易的机制设计和潜在的经济效益。首先构建能源交易的整体框架, 制定能源交易和出清规则。在此基础上, 考虑电动汽车和可控负荷的特性, 建立需求侧负荷响应的数学模型并采用机会约束对不确定性进行处理。结合需求侧模型和能源交易体系, 建立了能源交易的最优竞价模型。最后,采用算例系统对所提能源交易模型和方法进行了仿真验证。

关键词: 能源交易, 分布式能源, 电动汽车, 可控负荷, 需求侧响应, 机会约束规划

Abstract: The ever increasing penetration of distributed renewable energy generating units imposes higher requirements for the power system, especially the distribution system. As one of the emerging market-based mechanism to coordinate distributed energy resources, transactive energy has provided a viable solution to accommodate a high penetration level of distributed renewable energy sources. Given this background, this paper focuses on transactive energy at demand-side and aims to examine appropriate mechanism design and analyze potential economic benefits. First, the overall framework of transactive energy is proposed, and the rules of energy transactions and market clearing procedures are introduced. The mathematical models of responsive demands are developed considering the characteristics of electric vehicles and controllable loads. Uncertainties are addressed through an analytic chance constrained programming reformulation method. On the basis of the presented transactive energy mechanism and demand-side models, an optimal bidding model is proposed. Finally, the effectiveness of the proposed model and method is demonstrated by case studies.

Key words: transactive energy, distributed energy resource, electric vehicle, controllable load, demand response, chance-constrained programming

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