Earticle

초록

영어

This paper applies a novel hybrid rough set theory-particle swarm optimizer technique, namely rough particle swarm optimization (RPSO) algorithm, for solving non-convex economic load dispatch (NELD) problem. The RPSO algorithm is based on the notion of rough patterns that uses rough values defined with upper and lower intervals in which represent a set of values. This RPSO method is suggested to deal with the practical constraints such as valve point loading effect, generation limitation, ramp rate limits and prohibited operating zones in the NELD problems. Simulations were performed on four different power systems with 3, 6, 15 and 40 generating units and the results are compared with classical PSO and crazy PSO algorithms. The results of this study reveal that the proposed approach is able to find appreciable NELD solutions than those of previous algorithms.

목차

Abstract
 1. Introduction
 2. Formulation of ELD Problem
  2.1. Convex Objective Function
  2.2. Non-convex Cost Function with Valve-point Loading Effects
  2.3. Equality and Inequality Constraints
 3. Review of CPSO, CRAZY PSO and RPSO
  3.1. Classical PSO
  3.2. Crazy PSO
  3.3. Rough PSO
 4. Implementation of RPSO
 5. Test and Results
  5.1 Case Study I: Three Units System
  5.2. Case Study II: Six Units System
  5.3. Case Study III: Fifteen Units System
  5.4. Case Study IV: Forty Units System
 6. Conclusions
 References

키워드

저자

• Amin Safari [ Department of Electrical Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran ]
• Davoud Moghaddam Sheibai [ Engineering Department of Pars Oil and Gas Company (POGC), Iran ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605