Quantitative Evaluation of Externality Value for Distributed Photovoltaic Energy Storage System Under Decentralized Decision-making

WU Zhaoyuan; LIU Jingyu; ZHOU Ming; YUAN Bo; ZHAO Huiru; LI Gengyin

doi:10.7500/AEPS20230529001

您当前的位置：

首页 >

文章列表页 >

Quantitative Evaluation of Externality Value for Distributed Photovoltaic Energy Storage System Under Decentralized Decision-making

Basic Research | 更新时间：2025-06-16

- Quantitative Evaluation of Externality Value for Distributed Photovoltaic Energy Storage System Under Decentralized Decision-making
- Automation of Electric Power Systems Vol. 48, Issue 5, Pages: 38-47(2024)
- 作者机构：
  
  1.华北电力大学经济与管理学院，北京市 102206
  2.华北电力大学电气与电子工程学院，北京市 102206
  3.国网能源研究院有限公司，北京市 102209
- 作者简介：
- 基金信息：
  
  National Key R&D Program of China(2022YFB2403100);Post-doctoral Science Foundation of China(2021M701181)
- DOI：10.7500/AEPS20230529001
  CLC：
- Received：29 May 2023，
  
  Revised：2023-08-07，
  
  Published Online：02 November 2023，
  
  Published：10 March 2024
- 稿件说明：
移动端阅览
武昭原,刘婧宇,周明等.分散决策下分布式光伏储能系统外部性价值量化评估[J].电力系统自动化,2024,48(5):38-47.

WU Zhaoyuan,LIU Jingyu,ZHOU Ming,et al.Quantitative Evaluation of Externality Value for Distributed Photovoltaic Energy Storage System Under Decentralized Decision-making[J].Automation of Electric Power Systems,2024,48(5):38-47.
武昭原,刘婧宇,周明等.分散决策下分布式光伏储能系统外部性价值量化评估[J].电力系统自动化,2024,48(5):38-47. DOI： 10.7500/AEPS20230529001.

WU Zhaoyuan,LIU Jingyu,ZHOU Ming,et al.Quantitative Evaluation of Externality Value for Distributed Photovoltaic Energy Storage System Under Decentralized Decision-making[J].Automation of Electric Power Systems,2024,48(5):38-47. DOI： 10.7500/AEPS20230529001.

摘要

近年来，随着分布式光伏补贴的逐渐下降和储能技术的日益成熟，分布式光伏储能系统已逐渐成为能源结构转型的关键性环节之一。然而，不同于传统集中式优化规划框架，大规模分布式光伏储能用户分散决策模式下其自利性行为对整体系统运行效率的影响及其外部性价值评估方法仍有待进一步研究。为此，构建了计及分布式光伏储能投资决策的双层模型来模拟需求侧市场成员分散决策行为与系统整体运行的交互关系，以量化分析分布式光伏储能系统的外部性价值。进而，从个体层和系统层两维度设计了市场运营评估指标体系。最后，基于实际系统数据验证了所提模型的有效性。

Abstract

In recent years

with the gradual decline of distributed photovoltaic subsidies and the growing maturity of energy storage technologies

the distributed photovoltaic energy storage system has gradually become one of the key links in the transformation of energy structure. However

different from the traditional centralized optimization planning framework

the impact of the self-serving behavior of large-scale distributed photovoltaic energy storage users on the operation efficiency of the overall system in the decentralized decision-making mode and the externality value evaluation method still need to be further studied. Therefore

a bi-level model that takes into account the investment decision of distributed photovoltaic energy storage is proposed

which can capture the interaction between the decentralized decision-making behavior of demand-side market members and the operation of the overall system. In this way

the externality value of the distributed photovoltaic energy storage system can be evaluated. Furthermore

an evaluation index system of market operation is designed from two dimensions of individual level and system level. Finally

the effectiveness of the proposed model is verified based on the actual system data.

关键词

Keywords

references

武昭原，周明，王剑晓，等 . 双碳目标下提升电力系统灵活性的市场机制综述［J］. 中国电机工程学报， 2022 ， 42 （ 21 ）： 7746 - 7764 .

WU Zhaoyuan ， ZHOU Ming ， WANG Jianxiao ， et al . Review on market mechanism to enhance the flexibility of power system under the dual-carbon target ［J］. Proceedings of the CSEE ， 2022 ， 42 （ 21 ）： 7746 - 7764 .

张沈习，王丹阳，程浩忠，等 . 双碳目标下低碳综合能源系统规划关键技术及挑战［J］. 电力系统自动化， 2022 ， 46 （ 8 ）： 189 - 207 .

ZHANG Shenxi ， WANG Danyang ， CHENG Haozhong ， et al . Key technologies and challenges of low-carbon integrated energy system planning for carbon emission peak and carbon neutrality ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 8 ）： 189 - 207 .

陈昌铭，张群，黄亦昕，等 . 考虑最优建设时序和云储能的园区综合能源系统优化配置方法［J］. 电力系统自动化， 2022 ， 46 （ 2 ）： 24 - 32 .

CHEN Changming ， ZHANG Qun ， HUANG Yixin ， et al . Optimal configuration method of park-level integrated energy system considering optimal construction time sequence and cloud energy storage ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 2 ）： 24 - 32 .

别朝红，任彦哲，李更丰，等 . “双碳”目标下城市能源系统的形态结构和发展路径［J］. 电力系统自动化， 2022 ， 46 （ 17 ）： 3 - 15 .

BIE Zhaohong ， REN Yanzhe ， LI Gengfeng ， et al . Morphological structure and development path of urban energy system for carbon emission peak and carbon neutrality ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 17 ）： 3 - 15 .

WU Z Y ， CHEN L ， WANG J X ， et al . Incentivizing the spatiotemporal flexibility of data centers toward power system coordination ［J］. IEEE Transactions on Network Science and Engineering ， 2023 ， 10 （ 3 ）： 1766 - 1778 .

CELIK B ， SURYANARAYANAN S ， ROCHE R ， et al . Quantifying the impact of solar photovoltaic and energy storage assets on the performance of a residential energy aggregator ［J］. IEEE Transactions on Sustainable Energy ， 2020 ， 11 （ 1 ）： 405 - 414 .

WU Z Y ， ZHOU M ， ZHANG Z ， et al . An incentive profit-sharing mechanism for welfare transfer in balancing market integration ［J］. Renewable and Sustainable Energy Reviews ， 2022 ， 168 ： 112762 .

科尔尼 . 户用光伏：能源战略转型新动力［EB/OL］. ［ 2023-03-25 ］. https：//www.kearney.cn/article/-/insights/292827706 https://www.kearney.cn/article/-/insights/292827706 .

Kearney . Residential photovoltaic： a new driving force for energy strategic transformation ［EB/OL］. ［ 2023-03-25 ］. https：//www.kearney.cn/article/-/insights/292827706 https://www.kearney.cn/article/-/insights/292827706 .

武昭原，周明，王剑晓，等 . 基于组合拍卖的城市能源系统共享储能运行方法［J］. 电力系统自动化， 2022 ， 46 （ 17 ）： 83 - 90 .

WU Zhaoyuan ， ZHOU Ming ， WANG Jianxiao ， et al . Urban energy system shared energy storage operation method based on combined auction ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 17 ）： 83 - 90 .

NEM 3 . 0 ： what does it mean for you？［EB/OL］. ［ 2023-04-23 ］. https：//news.energysage.com/net-metering-3-0/ https://news.energysage.com/net-metering-3-0/ .

WU Z Y ， WANG J X ， ZHONG H W ， et al . Sharing economy in local energy markets ［J］. Journal of Modern Power Systems and Clean Energy ， 2023 ， 11 （ 3 ）： 714 - 726 .

YAN J Y ， YANG Y ， ELIA CAMPANA P ， et al . City-level analysis of subsidy-free solar photovoltaic electricity price， profits and grid parity in China ［J］. Nature Energy ， 2019 ， 4 （ 8 ）： 709 - 717 .

BARBOSE G ， SATCHWELL A J . Benefits and costs of a utility-ownership business model for residential rooftop solar photovoltaics ［J］. Nature Energy ， 2020 ， 5 （ 10 ）： 750 - 758 .

PINEDA S ， BOOMSMA T K ， WOGRIN S . Renewable generation expansion under different support schemes： a stochastic equilibrium approach ［J］. European Journal of Operational Research ， 2018 ， 266 （ 3 ）： 1086 - 1099 .

KARAKAYA E ， SRIWANNAWIT P . Barriers to the adoption of photovoltaic systems： the state of the art ［J］. Renewable and Sustainable Energy Reviews ， 2015 ， 49 ： 60 - 66 .

WANG J X ， ZHONG H W ， WU C Y ， et al . Incentivizing distributed energy resource aggregation in energy and capacity markets： an energy sharing scheme and mechanism design ［J］. Applied Energy ， 2019 ， 252 ： 113471 .

LI N ， OKUR Ö . Economic analysis of energy communities： investment options and cost allocation ［J］. Applied Energy ， 2023 ， 336 ： 120706 .

夏清，杨知方，赖晓文，等 . 基于分时容量电价的新型电力现货市场设计［J］. 电网技术， 2022 ， 46 （ 5 ）： 1771 - 1779 .

XIA Qing ， YANG Zhifang ， LAI Xiaowen ， et al . Electricity market design based on temporal pricing of renewable capacity ［J］. Power System Technology ， 2022 ， 46 （ 5 ）： 1771 - 1779 .

鲁宗相，林弋莎，乔颖，等 . 极高比例可再生能源电力系统的灵活性供需平衡［J］. 电力系统自动化， 2022 ， 46 （ 16 ）： 3 - 16 .

LU Zongxiang ， LIN Yisha ， QIAO Ying ， et al . Flexibility supply-demand balance in power system with ultra-high proportion of renewable energy ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 16 ）： 3 - 16 .

WU Y N ， ZHANG T ， GAO R ， et al . Portfolio planning of renewable energy with energy storage technologies for different applications from electricity grid ［J］. Applied Energy ， 2021 ， 287 ： 116562 .

SUNAR N ， SWAMINATHAN J M . Net-metered distributed renewable energy： a peril for utilities？［J］. Management Science ， 2021 ， 67 （ 11 ）： 6716 - 6733 .

CHESNEY M ， VARGAS C . What are you waiting to invest？ Long-term investment in grid-connected residential solar energy in California. A real options analysis ［J］. SSRN Electronic Journal ， 2018 ： 24 .

BARAZZA E ， STRACHAN N . The impact of heterogeneous market players with bounded-rationality on the electricity sector low-carbon transition ［J］. Energy Policy ， 2020 ， 138 ： 111274 .

JIN S ， RYAN S M . A tri-level model of centralized transmission and decentralized generation expansion planning for an electricity market—Part Ⅰ ［J］. IEEE Transactions on Power Systems ， 2014 ， 29 （ 1 ）： 132 - 141 .

WANG J X ， ZHONG H W ， TANG W Y ， et al . Tri-level expansion planning for transmission networks and distributed energy resources considering transmission cost allocation ［J］. IEEE Transactions on Sustainable Energy ， 2018 ， 9 （ 4 ）： 1844 - 1856 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Voltage Regulation Strategy for Distributed Energy Storage Considering Coordination Among Clusters with High Penetration of Photovoltaics

Voltage Regulation Strategy for Active Distribution Network Based on Multi-agent Deep Reinforcement Learning

Generalized Load Modeling and Parameter Identification for Distribution Networks Considering Fault Ride-through Capability of Distributed Photovoltaic

Related Author

LI Junhui

SUN Dapeng

ZHU Xingxu

YU Haozheng

LI Cuiping

DONG Zhemin

HUANG Yu

ZHANG Xiaoxiao

Related Institution

Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education(Northeast Electric Power University)

State Grid Henan Economic Research Institute

Handan Power Supply Branch of State Grid Hebei Electric Power Co., Ltd.

Institute of Advanced Technology for Carbon Neutrality, Nanjing University of Posts and Telecommunications

NARI Technology Co., Ltd.

⁰