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考虑发用电相似性的海上风电中长期双边协商交易优化决策模型

谢敏 李弋升 董凯元 谢宇星 黄莹 刘明波

电力系统自动化2024,Vol.48Issue(14):42-51,10.
电力系统自动化2024,Vol.48Issue(14):42-51,10.DOI:10.7500/AEPS20231221004

考虑发用电相似性的海上风电中长期双边协商交易优化决策模型

Optimal Decision-making Model for Medium-and Long-term Bilateral Negotiation Transaction of Offshore Wind Power Considering Similarity Between Power Generation and Consumption

谢敏 1李弋升 1董凯元 1谢宇星 1黄莹 1刘明波1

作者信息

  • 1. 华南理工大学电力学院,广东省广州市 510640||广东省绿色能源技术重点实验室(华南理工大学),广东省广州市 510640
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摘要

Abstract

Offshore wind power is one of the most promising renewable energy sources in the future,but its output has the characteristics of randomness and volatility.To better promote the market-based consumption of offshore wind power,an optimal decision-making model is built based on the medium-and long-term bilateral negotiation transactions between offshore wind power generators and load aggregators.Firstly,through the time-series similarity assessment method,an optimal power consumption load combination is found for the target offshore wind power.Secondly,considering the reserve capacity configuration of the demand response and the forecasting error of the power generation and consumption curve,an optimal decision-making model for medium-and long-term transaction is constructed based on the two-stage distributionally robust optimization to allocate the demand response resources that adapt to the output characteristics of offshore wind power over a future period,and the medium-and long-term transaction curves are reasonably adjusted.Finally,the effectiveness and practicality of the proposed model are verified through the simulation cases.

关键词

海上风电/中长期交易/双边协商/时序曲线匹配/分布鲁棒优化

Key words

offshore wind power/medium-and long-term transaction/bilateral negotiation/time-series curve matching/distributionally robust optimization

引用本文复制引用

谢敏,李弋升,董凯元,谢宇星,黄莹,刘明波..考虑发用电相似性的海上风电中长期双边协商交易优化决策模型[J].电力系统自动化,2024,48(14):42-51,10.

基金项目

广东省基础与应用基础研究基金资助项目(2022A1515240074) (2022A1515240074)

广东省重点领域研发计划资助项目(2021B0101230004). This work is supported by Guangdong Basic and Applied Basic Research Foundation(No.2022A1515240074)and Key Areas R&D Program of Guangdong Province(No.2021B0101230004). (2021B0101230004)

电力系统自动化

OA北大核心CSTPCD

1000-1026

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