Optimal Dispatching Bidding Strategy of Multi-Agent Virtual Power Plant Participating in Electricity Market Under Carbon Trading Mechanism

YU Haibin; ZHANG Yuchen; LIU Yangyang; LU Zengjie; WENG Jinde

doi:10.12096/j.2096-4528.pgt.23004

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Optimal Dispatching Bidding Strategy of Multi-Agent Virtual Power Plant Participating in Electricity Market Under Carbon Trading Mechanism

Virtual Power Plant Planning, Scheduling and Control Technology | 更新时间：2025-06-06

- Optimal Dispatching Bidding Strategy of Multi-Agent Virtual Power Plant Participating in Electricity Market Under Carbon Trading Mechanism
- Power Generation Technology Vol. 44, Issue 5, Pages: 634-644(2023)
- 作者机构：
  
  1.国网上海市电力公司市北供电公司，上海市静安区 200070
  2.国网上海市电力公司松江供电公司，上海市松江区 201699
  3.国网上海市电力公司，上海市浦东新区 200122
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation Youth Fund of China(51907092);State Grid Shanghai Electric Power Company Science and Technology Project(SGTYHT/21-JS-223)
- DOI：10.12096/j.2096-4528.pgt.23004
  CLC： TK 01;TM 73
- Received：11 January 2023，
  
  Published：31 October 2023
- 稿件说明：
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郁海彬,张煜晨,刘扬洋等.碳交易机制下多主体虚拟电厂参与电力市场的优化调度竞标策略[J].发电技术,2023,44(05):634-644.

YU Haibin,ZHANG Yuchen,LIU Yangyang,et al.Optimal Dispatching Bidding Strategy of Multi-Agent Virtual Power Plant Participating in Electricity Market Under Carbon Trading Mechanism[J].Power Generation Technology,2023,44(05):634-644.
郁海彬,张煜晨,刘扬洋等.碳交易机制下多主体虚拟电厂参与电力市场的优化调度竞标策略[J].发电技术,2023,44(05):634-644. DOI： 10.12096/j.2096-4528.pgt.23004.

YU Haibin,ZHANG Yuchen,LIU Yangyang,et al.Optimal Dispatching Bidding Strategy of Multi-Agent Virtual Power Plant Participating in Electricity Market Under Carbon Trading Mechanism[J].Power Generation Technology,2023,44(05):634-644. DOI： 10.12096/j.2096-4528.pgt.23004.

摘要

碳交易机制下，虚拟电厂(virtual power plant，VPP)聚合分布式能源(distributed energy resource，DER)参与电力市场(electricity market，EM)交易有助于新能源消纳与提升环境效益。为此，首先，构建风电、光伏、可控分布式电源、储能及柔性负荷的多主体VPP模型，并制定各主体参与电能量市场(electric energy market，EEM)和调峰市场(peak regulating market，PRM)竞标策略。通过EEM及PRM算例展现了VPP参与调峰竞标实现VPP效益最大化及各DER成员利益的合理分配。其次，引入碳交易机制，分析碳交易价格变化与风光消纳率、碳排放量及VPP收益之间的关联性。最后，进一步探索碳汇资源交易对电力价格、产量及能源需求变化率的影响，为碳汇价值的生态保护补偿机制提供依据，也为电-碳市场协同下碳市场(carbon market，CM)对EM的价格传导效应及CM价格机制的优化设计提供参考。

Abstract

Under the carbon trading mechanism

virtual power plants (VPP) aggregating distributed energy resource (DER) to participate in electricity market (EM) trading will help new energy consumption and improve environmental benefits. This paper constructed a multi-agent VPP model including wind turbine

photovoltaic power

controllable distribution generation

stored energy

and flexible load

and formulated bidding strategies for each entity participating in the electric energy market (EEM) and peak regulating market (PRM). The EEM and PRM examples showed that participating in peak regulating bidding by VPP could achieve the maximum benefits of VPP and reasonable distribution of the interests among DER members. Moreover

this paper introduced the carbon trading mechanism

analyzed the correlation between changes in carbon trading price and wind and solar consumption rate

carbon emissions and VPP benefits

and further explored the impact of carbon sink resource trading on electricity price

output and energy demand change rate. It provided a basis for the ecological protection compensation mechanism of carbon sink value

and also provided a reference for the price transmission effect of carbon market (CM) on EM under the coordination of electricity-carbon market and the optimization design of CM price mechanism.

关键词

Keywords

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