Krill herd algorithm for automatic generation control with flexible AC transmission system controller including superconducting magnetic energy storage units

The Journal of Engineering

Dipayan Guha¹  Provas Kumar Roy²  Subrata Banerjee³ 

[1]Department of Electrical Engineering, Dr. B.C. Roy Engineering College, Durgapur, West Bengal, India

[2]Department of Electrical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, India

[3]Department of Electrical Engineering, National Institute of Technology – Durgapur, Durgapur, West Bengal, India

关键词: interconnected automatic generation control system;    thermal-hydro system;    two-area multi-unit hydro-hydro power system;    superconducting magnetic energy storage;    flexible AC transmission system controller;    thyristor control phase shifter;    Krill herd algorithm;    integral square error criterion;    superconducting magnetic energy storage units;    thermal-thermal system;    automatic generation control;   

DOI  :  10.1049/joe.2016.0053

学科分类：工程和技术（综合）

来源: IET

【 摘 要 】

This study presents an optimisation technique, called krill herd algorithm (KHA), for the effectiveness and performance analysis of an interconnected automatic generation control (AGC) system. A two-area multi-unit hydro–hydro (HH–HH) power system equipped with classical I-controller and two other test systems: namely, thermal–thermal, thermal–hydro which are widely available in literature are considered for design and analysis purpose. Eigenvalues analysis assesses that HH–HH power system is highly unstable under small load perturbation. To stabilise this power system, different frequency stabilisers such as superconducting magnetic energy storage, thyristor control phase shifter, static synchronous series compensator etc. are proposed in AGC system. Optimum gains of the controller and frequency stabiliser are evaluated using KHA. Integral square error criterion is used to minimise the area control error, which is considered as an objective function. The superiority of the proposed algorithm is checked by means of an extensive comparative analysis with the results published in recent research algorithms such as craziness-based-particle swarm optimisation and real coded genetic algorithm etc. for the same test system.

【 授权许可】

CC BY