Calculation of Available Transfer Capability Using Hybrid Chaotic Selfish Herd Optimizer and 24 Hours RES-thermal Scheduling

作     者：Kingsuk Majumdar Provas Kumar Roy Subrata Banerjee 

作者机构：Department of Electrical EngineeringDr.B C Roy Engineering CollegeDurgapur 713206India Department of Electrical EngineeringKalyani Government Engineering CollegeKalyani 741235India Department of Electrical EngineeringNIT DurgapurDurgapur 713209India 

出 版 物：《Chinese Journal of Electrical Engineering》 (中国电气工程学报（英文）)

年 卷 期：2023年第9卷第4期

页      面：54-72页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 

主　　题：Available transfer capability(ATC) biogeography-based optimization(BBO) chaotic map chaotic selfish herd optimizer(CSHO) grey wolf optimizer(GWO) optimum power flow(OPF) power generation cost(PGC) renewable energy sources(RES) selfish herd optimizer(SHO) 

摘      要：As fossil fuel stocks are being depleted,alternative sources of energy must be ***,traditional thermal power plants must coexist with renewable resources,such as wind,solar,and hydro units,and all-day planning and operation techniques are necessary to safeguard nature while meeting the current *** fundamental components of contemporary power systems are the simultaneous decrease in generation costs and increase in the available transfer capacity(ATC)of current *** units are linked to sources of renewable energy such as hydro,wind,and solar power,and are set up to run for 24 *** contrast,new research reports that various chaotic maps are merged with various existing optimization methodologies to obtain better results than those without the inclusion of *** seems to increase the performance and convergence properties of existing optimization *** this study,selfish animal tendencies,mathematically represented as selfish herd optimizers,were hybridized with chaotic phenomena and used to improve ATC and/or reduce generation costs,creating a multi-objective optimization *** evaluate the performance of the proposed hybridized optimization technique,an optimal power flow-based ATC was enforced under various hydro-thermal-solar-wind conditions,that is,the renewable energy source-thermal scheduling concept,on IEEE 9-bus,IEEE 39-bus,and Indian Northern Region Power Grid 246-bus test *** findings show that the proposed technique outperforms existing well-established optimization strategies.