شماره ركورد كنفرانس :
3788
عنوان مقاله :
A Novel Hybrid Harmony Search and Particle Swarm Optimization Method for Solving Combined Heat and Power Economic Dispatch
عنوان به زبان ديگر :
A Novel Hybrid Harmony Search and Particle Swarm Optimization Method for Solving Combined Heat and Power Economic Dispatch
پديدآورندگان :
Nazari-Heris Morteza m.nazari@ieee.org Faculty of Electrical and Computer Engineering University of Tabriz Tabriz, Iran, 5166616471 , Fakhim-Babaei Amir babaei@ieee.org Faculty of Electrical and Computer Engineering University of Tabriz Tabriz, Iran, 5166616471 , Mohammadi-Ivatloo Behnam mohammadi@ieee.org Faculty of Electrical and Computer Engineering University of Tabriz Tabriz, Iran, 5166616471
كليدواژه :
combined heat and power , harmony search , partcile swarm optimization , hybrid optimization technique , large , scale CHP system.
عنوان كنفرانس :
هفتمين كنفرانس ملي شبكه هاي هوشمند انرژي 96
چكيده فارسي :
—Combined heat and power (CHP) units are able to
generate power and heat, simultaneously. The main objective
of CHP economic dispatch (CHPED) problem is to provide
optimal heat and power production of cogeneration units with
minimum operation cost of supplying heat and power demand.
The CHPED problem should be studied considering several
operational and electrical equality and inequality constraints
consisting of valve-point loading effects of conventional
thermal plants, power transmission loss of the system, power
and heat capacity production limits of the plants, and heat and
power load demand balance. Moreover, heat and power
produced by cogeneration plants have bidirectional
dependency, which results to complexity of the CHPED
problem. In this study, a novel combination of harmony search
(HS) algorithm and particle swarm optimization (PSO) method
is proposed for the solution of non-convex non-linear CHPED
problem. The proposed optimization technique is employed on
two large-scale CHP systems for evaluating the performance of
the proposed method. The large-scale CHPED problem is
solved applying the proposed hybrid method, which
demonstrates the effectiveness of the method in terms of
operational cost and convergence characteristics.
چكيده لاتين :
—Combined heat and power (CHP) units are able to
generate power and heat, simultaneously. The main objective
of CHP economic dispatch (CHPED) problem is to provide
optimal heat and power production of cogeneration units with
minimum operation cost of supplying heat and power demand.
The CHPED problem should be studied considering several
operational and electrical equality and inequality constraints
consisting of valve-point loading effects of conventional
thermal plants, power transmission loss of the system, power
and heat capacity production limits of the plants, and heat and
power load demand balance. Moreover, heat and power
produced by cogeneration plants have bidirectional
dependency, which results to complexity of the CHPED
problem. In this study, a novel combination of harmony search
(HS) algorithm and particle swarm optimization (PSO) method
is proposed for the solution of non-convex non-linear CHPED
problem. The proposed optimization technique is employed on
two large-scale CHP systems for evaluating the performance of
the proposed method. The large-scale CHPED problem is
solved applying the proposed hybrid method, which
demonstrates the effectiveness of the method in terms of
operational cost and convergence characteristics.
