Outline

  • Abstract
  • Keywords
  • 1. Introduction
  • 2. Economic Dispatch
  • 3. Harmony Search to Solve the Economic Dispatch Problem
  • 3.1. Classical Harmony Search Algorithm
  • 4. Improved Hs Algorithm
  • 5. Case Study of 13 Thermal Units and Analysis of Optimization Results
  • 6. Conclusions and Future Research
  • Acknowledgment
  • References

رئوس مطالب

  • چکیده
  • کلید واژه ها
  • 1.مقدمه
  • 2. توزیع اقتصادی
  • 3. جستجوی هارمونی برای حل مسئله توزیع اقتصادی
  • 3.1. الگوریتم جستجوی هارمونی کلاسیک
  • 4. الگوریتم بهبود یافته HS
  • 5. مطالعه موردی 13 واحد حرارتی و تجزیه و تحلیل نتایج بهینه‌سازی
  • 6. نتیجه‌گیری‌ها و تحقیقات آینده

Abstract

A meta-heuristic algorithm called harmony search (HS), mimicking the improvisation process of music players, has been recently developed. The HS algorithm has been successful in several optimization problems. The HS algorithm does not require derivative information and uses stochastic random search instead of a gradient search. In addition, the HS algorithm is simple in concept, few in parameters, and easy in implementation. This paper presents an improved harmony search (IHS) algorithm based on exponential distribution for solving economic dispatch problems. A 13-unit test system with incremental fuel cost function taking into account the valve-point loading effects is used to illustrate the effectiveness of the proposed IHS method. Numerical results show that the IHS method has good convergence property. Furthermore, the generation costs of the IHS method are lower than those of the classical HS and other optimization algorithms reported in recent literature.

Keywords: - -

Conclusions and future research

Economic dispatch is an important function in the power system operation. Different techniques have been reported in the literature pertaining to EDP [1–15]. In this study, application of HS and IHS algorithms to solve EDPs has been investigated.

The IHS algorithms ability has been demonstrated using an illustrative example consisting of 13 thermal units whose incremental fuel cost function takes into account the valve-point loading effects. Moreover, in order to handle constraints effectively, a constraint treatment mechanism inspired in [34] is devised in calculus of cost function used in HS and IHS approaches. Numerical results reveal that the IHS algorithm converged to good solutions in comparison with results using HS and results of recent literature.

In future work, we plan to study the HS algorithms in multiobjective EDPs with units having prohibited zones and valve-point loading effects.

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