A multi-market scheduling model for a technical virtual power plant coalition  

作　　者：Yiqiao Shen Jing Meng FuLong Song Chunyang Liu Xiaozhong Chen Hanrun Wang 

机构地区：[1]Department of Electrical Engineering,Shandong University,Jinan 250100 PR China [2]Global Energy Interconnection Group Co.,Ltd.,Beijing 100031 PR China [3]Shandong Power Exchange Center Co.,Ltd.,Jinan 250000 PR China

出　　处：《Global Energy Interconnection》2025年第1期13-27,共15页全球能源互联网(英文版)

基　　金：supported by Science and Technology Foundation of Global Energy Interconnection Group Co.LTD.(SGGE0000JYJS2310046).

摘　　要：During the transitional period of electricity market reforms in China,scheduling simulations of technical virtual power plants(TVPPs)are crucial owing to the lack of operational experience.This study proposes a model for TVPPs participating in the current multi-market;that is,TVPP coordinate bidding in the day-ahead energy and ramping ancillary market while purchasing unbalanced power and pro-viding frequency regulation service in the real-time market.A multi-scenario optimization approach was employed in the day-ahead stage to manage uncertainty,and an improved Shapley value was utilized for revenue allocation.By employing linearization techniques,the model is transformed into a mixed-integer second-order cone-programming problem that can be efficiently solved using linear solvers.Numerical simulations based on actual provincial electricity market rules were conducted to validate the effectiveness of a TVPP coalition profitability.

关 键 词：TVPP Electricity market Ancillary services Improved Shapley value 

分 类 号：TM73[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程] F426.61[自动化与计算机技术—控制科学与工程]