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Heat Transfer Search Algorithm for Combined Heat and Power Economic Dispatch

  • Jagat Kishore PattanaikEmail author
  • Mousumi Basu
  • Deba Prasad Dash
Research Paper
  • 5 Downloads

Abstract

This paper suggests heat transfer search (HTS) algorithm for solving complicated combined heat and power economic dispatch (CHPED) problem. The valve point effect, prohibited operating zones of conventional thermal generators and transmission loss are taken into consideration. The main objective of the CHPED problem is to minimize the total fuel cost for producing electricity and heat supplying to a load demand. HTS is a novel meta-heuristic optimization algorithm that is based on the law of thermodynamics and heat transfer. The efficiency of the suggested HTS algorithm has been confirmed on four test systems. Test results of the suggested HTS algorithm have been compared with those achieved by other evolutionary algorithms. It has been observed from the comparison that the suggested HTS algorithm has the ability to offer superior solution.

Keywords

Heat transfer search algorithm Combined heat and power economic dispatch Prohibited operating zones Valve point effect 

Abbreviations

HTS

Heat transfer search

CHPED

Combined heat and power economic dispatch

PSO

Particle swarm optimization

CPSO

Classical particle swarm optimization

EP

Evolutionary programming

GSO

Group search optimization

OGSO

Opposition-based group search optimization

OBL

Opposition-based learning

PPS

Powell’s pattern search

GA

Genetic algorithm

HS

Harmony search

CSA

Cuckoo search algorithm

ECSA

Effective cuckoo search algorithm

CSO

Civilized swarm optimization

IAC

Improved ant colony algorithm

TLBO

Teaching learning-based optimization

OBTLBO

Opposition-based teaching learning-based optimization

TVAC-PSO

Time-varying acceleration coefficients particle swarm optimization

SARGA

Self adaptive real-coded genetic algorithm

IGA-MU

Improved genetic algorithm with multiplier updating

MBA

Mine blast algorithm

FPA

Flower pollination algorithm

GSA

Gravitational search algorithm

KHA

Kill herd algorithm

MPSO

Modified particle swarm optimization

List of Symbols

\(P_{{{\text{t}}i}}\)

Power output of ith conventional thermal generator

\(P_{{{\text{t}}i}}^{\hbox{min} } ,\;P_{{{\text{t}}i}}^{\hbox{max} }\)

Minimum and maximum power generation limits of ith conventional thermal generator

\(P_{{{\text{c}}i}} ,\;H_{{{\text{c}}i}}\)

Power output and heat output of ith cogeneration unit

\(H_{{{\text{h}}i}}\)

Heat output of ith heat-only unit

\(H_{{{\text{h}}i}}^{\hbox{min} } ,\;H_{{{\text{h}}i}}^{\hbox{max} }\)

Minimum and maximum heat production limits of the ith heat-only unit

\(C_{\rm T}\)

Total production cost

\(C_{{{\text{t}}i}} ,\;C_{{{\text{c}}i}} ,\;C_{{{\text{h}}i}}\)

Fuel cost characteristics of the conventional thermal generator, cogeneration unit and heat-only unit, respectively

\(a_{i} ,b_{i} ,d_{i} ,e_{i} ,f_{i}\)

Cost coefficients of ith conventional thermal generator

\(\alpha_{i} ,\beta_{i} ,\gamma_{i} ,\delta_{i} ,\varepsilon_{i} ,\xi_{i}\)

Cost coefficients of ith cogeneration unit

\(\phi_{i} ,\eta_{i} ,\lambda_{i}\)

Cost coefficients of ith heat-only unit

\(H_{\text{D}}\)

Heat demand

\(P_{\text{D}}\)

Power demand

\(P_{\text{L}}\)

Transmission loss

\(N_{\text{t}} ,\;N_{\text{c}} ,\;N_{\text{h}}\)

Numbers of conventional thermal generators, cogeneration units and heat-only units, respectively

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Copyright information

© Shiraz University 2019

Authors and Affiliations

  1. 1.Department of Power EngineeringJadavpur UniversityKolkataIndia
  2. 2.Department of Electrical EngineeringGovernment College of EngineeringKalahandiIndia

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