Combined Heat and Power System Operation Cost Minimization using Frog Leaping Based Intelligent Search Algorithm

Rabiee, Abbas; Moradi-dalvand, Mohammad

doi:10.22109/jemt.2017.88668.1019

Combined Heat and Power System Operation Cost Minimization using Frog Leaping Based Intelligent Search Algorithm

Document Type : Original Article

Authors

Abbas Rabiee

Mohammad Moradi-dalvand

Young Researchers And Elite Club, Abhar Branch, Islamic Azad University, Abhar, Iran

10.22109/jemt.2017.88668.1019

Abstract

Combined heat and power (CHP) systems have been utilized more and more in power systems, recently. With the increasing penetration of CHP-based co-generation of electricity
and heat, determination of economic dispatch of power and heat becomes a more complex
and challenging task. In this paper, the optimal operation of CHP-based system is studied and an algorithm is proposed for solution of it. The optimal operation of CHP-based
systems or CHP economic dispatch is inherently a nonlinear and non-convex optimization
problem with a lot of local optimal solutions. In this paper, frog leaping algorithm is used
for solution of the problem. This heuristic algorithm is well capable to attain the optimal
solutions even in the case of non-convex optimization problems. The proposed method is
implemented on several standard test systems. The obtained results have been compared
with other intelligent search algorithms. The numerical simulations verify that optimal
operation of CHP systems can result in a large economic annual saving.

Keywords

Combined Heat and Power System

non-convex optimization

intelligent search algorithm

Subjects