Non-Cascaded Short-Term Pumped-Storage Hydro-Thermal Scheduling Using Accelerated Particle Swarm Optimization

被引：0

作者：

Fakhar, Muhammad Salman ^{[1
]}

Kashif, Syed Abdul Rehman ^{[1
]}

Saqib, Muhammad Asghar ^{[1
]}

Mehmood, Farhan ^{[1
]}

Hussain, Hafiz Zaheer ^{[2
]}

机构：

[1] Univ Engn & Technol, Dept Elect Engn, Lahore, Pakistan

[2] NESPAK, Dept Elect Engn, Lahore, Pakistan

来源：

2018 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2018年

关键词：

Accelerated PSO; Hydro-thermal scheduling; Pumped-storage;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents the implementation of a variant of the famous particle swarm optimization, known as Accelerated Particle Swarm Optimization (APSO), on a non-cascaded or a two-unit hydro-thermal system with consideration of hydal pumping in light loading intervals of hydro-thermal scheduling period. APSO is an easy to program and easy to implement variant of Particle Swarm Optimization (PSO) that has the ability to converge to a good approximate to global optimum within a few iterations. A standard pumped-storage hydrothermal scheduling problem, discussed in existing literature, is considered for the implementation of APSO. A comparison of this implementation is also given with the previously existing implementations of other algorithms.

引用

页数：5

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