Multi-participant operation optimization for charging systems with orderly charging and cooperative game strategies considering carbon capture and uncertainties
Authors:
- Hongyu LinHLHongyu Lin
- Xingbang HanXHXingbang Han
- Pengshuo YuPYPengshuo Yu
- Qingyou YanQYQingyou Yan
- Shenbo YangSYShenbo Yang
- Mengshu ShiMSMengshu Shi
- Amjad Anvari-MoghaddamAAAmjad Anvari-Moghaddam
- Dong LiangDLDong Liang
- 5 January 2023
- journal article
- research article
- Published by Elsevier in Journal of Energy Storage
- Vol. 59
Abstract
No abstract availableKeywords
Funding Information
- China Scholarship Council (CSC202206730084)
- National Key Research and Development Program of China (2020YFB1707801)
This publication has 9 references indexed in Scilit:
- A medium-term hybrid IGDT-Robust optimization model for optimal self scheduling of multi-carrier energy systemsEnergy, 2022
- A novel Markov chain method for predicting granular mixing process in rotary drums under different rotation speedsPowder Technology, 2021
- Game theory-based multi-agent capacity optimization for integrated energy systems with compressed air energy storageEnergy, 2021
- Decarbonization Scheduling Strategy Optimization for Electricity-Gas System Considering Electric Vehicles and Refined Operation Model of Power-to-GasIEEE Access, 2021
- Ordered charge control considering the uncertainty of charging load of electric vehicles based on Markov chainRenewable Energy, 2020
- EV charging load simulation and forecasting considering traffic jam and weather to support the integration of renewables and EVsRenewable Energy, 2020
- Uncertain multi-attributes decision making method based on interval number with probability distribution weighted operators and stochastic dominance degreeKnowledge-Based Systems, 2016
- Self-scheduling of a wind producer based on Information Gap Decision TheoryEnergy, 2015
- Examination of energy price policies in Iran for optimal configuration of CHP and CCHP systems based on particle swarm optimization algorithmEnergy Policy, 2010