电力系统保护与控制2024，Vol.52Issue(19)：97-107,11.DOI:10.19783/j.cnki.pspc.231594
基于联盟合作博弈的风电数据定价方法
Wind power data pricing method based on an alliance cooperation game
摘要
Abstract
To give full play to the value of wind power data and bring extra profit to a wind farm,this paper proposes a wind power data pricing method based on alliance cooperation game theory.First,a wind power data trading process and pricing approach considering third-party supervision are proposed.Secondly,adjacent station data is obtained through data trading,and a vector autoregressive model is used to improve wind power forecasting accuracy,thereby reducing imbalance costs in electricity market transactions,increasing the overall generation profit of wind power plants,and reflecting the value of the traded data.Then,the excess profit generated before and after data trading(i.e.,the increase in generation profit using traded data)is distributed to the data sellers as the pricing of the traded data using an alliance cooperation game,quantitatively measuring the value of the data.Finally,considering the spatio-temporal characteristics of wind power,the data trading parties are determined by maximizing the data value,achieving fair and reasonable data pricing.The case analysis results demonstrate that the proposed method can enhance wind power forecasting accuracy,increase wind farm generation profits,and achieve fairness and rationality in wind power data pricing.关键词
电力数据交易/数据定价/风电预测/电力市场/合作博弈Key words
electric data trading/data pricing/wind power forecasting/electricity market/cooperative game引用本文复制引用
霍巍,张耀,赵寒亭,王建学..基于联盟合作博弈的风电数据定价方法[J].电力系统保护与控制,2024,52(19):97-107,11.基金项目
This work is supported by the National Key Research and Development Program of China"Key Technologies on Intelligent Dispatch of Power Grid under 20%New Energy Integration Scenario"(No.2022YFB2403500). 国家重点研发计划项目资助"支撑20%新能源电量占比场景下的电网智能调度关键技术"(2022YFB2403500) （No.2022YFB2403500）
