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作 者:Ali Gholami Trojani Mahmoud Samiei Moghaddam Javad Mohamadi Baigi
机构地区:[1]Electrical Engineering Department,Damghan Branch,Islamic Azad University,Damgham,Iran
出 处:《Journal of Modern Power Systems and Clean Energy》2023年第5期1405-1414,共10页现代电力系统与清洁能源学报(英文)
摘 要:In this paper, a new formulation for modeling the problem of stochastic security-constrained unit commitment along with optimal charging and discharging of large-scale electric vehicles, energy storage systems, and flexible loads with renewable energy resources is presented. The uncertainty of renewable energy resources is considered as a scenario-based model. In this paper, a multi-objective function which considers the reduction of operation cost, no-load and startup/shutdown costs, unserved load cost, load shifting, carbon emission, optimal charging and discharging of energy storage systems, and power curtailment of renewable energy resources is considered. The proposed formulation is a mixed-integer linear programming(MILP) model, of which the optimal global solution is guaranteed by commercial solvers. To validate the proposed formulation, several cases and networks are considered for analysis, and the results demonstrate the efficiency.
关 键 词:Electric vehicle energy storage system flexible load renewable energy resource unit commitment
分 类 号:U491.8[交通运输工程—交通运输规划与管理] TM91[交通运输工程—道路与铁道工程]
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