Coordinated planning of thermal generator deep peak regulation and composite energy storage considering carbon emission reduction and new energy consumption

被引:0
|
作者
Zhu J. [1 ]
Pan X. [1 ]
Wang Z. [2 ]
Wang J. [2 ]
Sun X. [1 ]
Shi W. [1 ]
Qin J. [1 ]
机构
[1] College of Energy and Electrical Engineering, Hohai University, Nanjing
[2] State Grid Anhui Electric Power Co.,Ltd., Hefei
关键词
carbon emission reduction; composite energy storage; coordinated planning; deep peak regulation; improved NSGA-Ⅱ; multi-objective optimization; new energy consumption; thermal generators;
D O I
10.16081/j.epae.202303003
中图分类号
学科分类号
摘要
Thermal generator deep peak regulation,chemical energy storage and pumped storage are important components of the flexibility resources in power grid. The coordinated planning of these three flexibility resources can ensure the safe and low-carbon operation of power grid and improve the acceptance capacity of new energy. From three aspects of economy,carbon emission reduction and wind and photovoltaic curtailment,a multi-objective coordinated planning model of thermal generator deep peak regulation and composite energy storage is constructed. An improved non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ) based on entropy weight is proposed to solve the multi-objective planning model. The Pareto optimal solution set is obtained,and the comprehensive optimal solution is obtained according to fuzzy membership degree. Taking the predicted data of a provincial power grid in 2025 and 2030 as the example,the simulative results show that the improved NSGA-Ⅱ can improve the solving speed and accuracy of the multi-objective optimization. The coordination of thermal generator deep peak regulation and composite energy storage configuration can significantly reduce the wind and photovoltaic curtailment rate,which is conducive to low-carbon and economic operation of power system. © 2024 Electric Power Automation Equipment Press. All rights reserved.
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页码:17 / 23
页数:6
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