Application of SOS based PDPID Cascaded Controller with Double Derivative Filter for AGC of Interconnected Power System

被引：0

作者：

Sahoo, Subhadra ^{[1
]}

Dei, Geetanjali ^{[2
]}

Patel, Nimai Charan ^{[3
]}

Sahu, Binod Kumar ^{[1
]}

机构：

[1] Siksha O Anusandhan Univ, Dept Elect Engn, Bhubaneswar, Odisha, India

[2] Kalinga Inst Ind Technol, Dept Elect Engn, Bhubaneswar, Odisha, India

[3] Govt Coll Engn, Dept Elect Engn, Keonjhar, India

来源：

2018 INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN ELECTRICAL, ELECTRONICS & COMMUNICATION ENGINEERING (ICRIEECE 2018) | 2018年

关键词：

Automatic Generation Control (AGC); PDPID controller; Symbiotic Organism Search (SOS); AUTOMATIC-GENERATION CONTROL; LOAD-FREQUENCY CONTROL; FUZZY-PID CONTROLLER; OPTIMIZATION ALGORITHM; CONTROL STRATEGIES; SEARCH;

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 automatic generation control of a two equal area thermal system employing Symbiotic Organism Search (SOS) based PDPID cascaded controller with double derivative filter. Initially SOS based PID controllers are optimally designed for both the areas and then the proposed controller is designed for the same power system. A disturbance of 0.1 p.u is employed in area-one and integral time absolute error is taken as objective function for the study. Results obtained are compared with the newly published article based on SOS and Quasi-Oppositional SOS (QOSOS) algorithm based PI controller. It is finally observed that SOS based PDPID cascaded controller with double derivative filter outperforms other controllers in every aspects.

引用

页码：602 / 606

页数：5

共 14 条

[1]

[Anonymous], 2000, Electric Energy Systems Theory-An Introduction

[2]

[Anonymous], 2009, POWER SYSTEM STABILI

[3] Symbiotic Organisms Search: A new metaheuristic optimization algorithm [J].

Cheng, Min-Yuan ;

Prayogo, Doddy .

COMPUTERS & STRUCTURES, 2014, 139 :98-112

[4]

Cohn N., 1956, AM I ELECT ENG T, V75, P1415, DOI [10.1109/AIEEPAS.1956.4499454, DOI 10.1109/AIEEPAS.1956.4499454]

[5] Load-frequency control of interconnected power system using emotional learning-based intelligent controller [J].

Farhangi, Reza ;

Boroushaki, Mehrdad ;

Hosseini, Seyed Hamid .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 36 (01) :76-83

[6] Quasi-oppositional symbiotic organism search algorithm applied to load frequency control [J].

Guha, Dipayan ;

Roy, Provas ;

Banerjee, Subrata .

SWARM AND EVOLUTIONARY COMPUTATION, 2017, 33 :46-67

[7] Recent philosophies of automatic generation control strategies in power systems [J].

Kumar, LP ;

Kothari, DP .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (01) :346-357

[8] Grey wolf optimizer algorithm based Fuzzy PID controller for AGC of multi-area power system with TCPS [J].

Lal, Deepak Kumar ;

Barisal, A. K. ;

Tripathy, M. .

2ND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, COMMUNICATION & CONVERGENCE, ICCC 2016, 2016, 92 :99-105

[9] Comparative performance analysis of fruit fly optimisation algorithm for multi-area multi-source automatic generation control under deregulated environment [J].

Mohanty, Banaja ;

Hota, Prakash Kumar .

IET GENERATION TRANSMISSION & DISTRIBUTION, 2015, 9 (14) :1845-1855

[10] Automatic generation control of an unequal four-area thermal system using biogeography-based optimised 3DOF-PID controller [J].

Rahman, Asadur ;

Saikia, Lalit Chandra ;

Sinha, Nidul .

IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (16) :4118-4129

← 1 2 →