A New Improved Hybrid Meta-Heuristics Method for Unit Commitment with Nonlinear Fuel Cost Function

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.129.1567 ◽

2009 ◽

Vol 129 (12) ◽

pp. 1567-1575 ◽

Cited By ~ 4

Author(s):

Kenta Okawa ◽

Hiroyuki Mori

Keyword(s):

Cost Function ◽

Unit Commitment ◽

Fuel Cost

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Modified iteration particle swarm optimization procedure for economic dispatch solving with non-smooth and non-convex fuel cost function

3rd IET International Conference on Clean Energy and Technology (CEAT) 2014 ◽

10.1049/cp.2014.1510 ◽

2014 ◽

Cited By ~ 3

Author(s):

K. Zare ◽

T.G. Bolandi

Keyword(s):

Particle Swarm Optimization ◽

Cost Function ◽

Economic Dispatch ◽

Particle Swarm ◽

Optimization Procedure ◽

Fuel Cost ◽

Swarm Optimization

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Mixed-integer minimization of the cost function of the Unit Commitment problem for isolated power systems

52nd IEEE Conference on Decision and Control ◽

10.1109/cdc.2013.6759918 ◽

2013 ◽

Cited By ~ 1

Author(s):

Mutaz Tuffaha ◽

Jan Tommy Gravdahl

Keyword(s):

Power Systems ◽

Cost Function ◽

Unit Commitment ◽

Mixed Integer ◽

Unit Commitment Problem ◽

Commitment Problem ◽

The Cost

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Self-adaptive Differential Evolution Using Chaotic Local Search for Solving Power Economic Dispatch with Nonsmooth Fuel Cost Function

Advances in Differential Evolution - Studies in Computational Intelligence ◽

10.1007/978-3-540-68830-3_11 ◽

2008 ◽

pp. 275-286 ◽

Cited By ~ 3

Author(s):

Leandro dos Santos Coelho ◽

Viviana Cocco Mariani

Keyword(s):

Local Search ◽

Differential Evolution ◽

Cost Function ◽

Economic Dispatch ◽

Fuel Cost ◽

Adaptive Differential Evolution ◽

Power Economic ◽

Self Adaptive

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Balance-Swap Optimization of Economic Load Dispatch Problem using Quadratic Fuel Cost Function

The Journal of The Institute of Internet Broadcasting and Communication ◽

10.7236/jiibc.2014.14.4.243 ◽

2014 ◽

Vol 14 (4) ◽

pp. 243-250

Author(s):

Sang-Un Lee

Keyword(s):

Cost Function ◽

Economic Load Dispatch ◽

Fuel Cost

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Solving the Generation Scheduling with Cubic Fuel Cost Function using Simulated Annealing

International Journal of Energy Information and Communications ◽

10.14257/ijeic.2016.7.2.01 ◽

2016 ◽

Vol 7 (2) ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Ismail Ziane ◽

Farid Benhamida

Keyword(s):

Simulated Annealing ◽

Cost Function ◽

Fuel Cost ◽

Generation Scheduling

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An improved genetic algorithm based economic dispatch with nonsmooth fuel cost function

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics ◽

10.1109/iceei.2011.6021722 ◽

2011 ◽

Cited By ~ 3

Author(s):

Morteza Tofighi ◽

Reza Maddahi ◽

Mohammad Sadeqzadeh

Keyword(s):

Genetic Algorithm ◽

Cost Function ◽

Economic Dispatch ◽

Fuel Cost ◽

Improved Genetic Algorithm

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A Hybrid EP and SQP for Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function

IEEE Power Engineering Review ◽

10.1109/mper.2002.4312139 ◽

2002 ◽

Vol 22 (4) ◽

pp. 77-77 ◽

Cited By ~ 12

Author(s):

P. Attaviriyanupap ◽

H. Kita ◽

E. Tanaka ◽

J. Hasegawa

Keyword(s):

Cost Function ◽

Economic Dispatch ◽

Fuel Cost ◽

Dynamic Economic Dispatch

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An effective non-iterative “λ-logic based” algorithm for economic dispatch of generators with cubic fuel cost function

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2009.11.002 ◽

2010 ◽

Vol 32 (5) ◽

pp. 539-542 ◽

Cited By ~ 16

Author(s):

Adhinarayanan Theerthamalai ◽

Sydulu Maheswarapu

Keyword(s):

Cost Function ◽

Economic Dispatch ◽

Fuel Cost

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Novel Adaptive Evolutionary Computation Approaches to the Dynamic Economic Load Dispatch Problems with Non-Smooth Fuel Cost Function

International Journal of Computer Applications ◽

10.5120/18101-9166 ◽

2014 ◽

Vol 103 (9) ◽

pp. 11-18

Author(s):

Sunny Orike

Keyword(s):

Cost Function ◽

Evolutionary Computation ◽

Economic Load Dispatch ◽

Fuel Cost

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Implementation of Smooth and Non-Smooth Fuel Cost Function for Economic Load Dispatch using Cuckoo Search Method

International Journal of Current Engineering and Technology ◽

10.14741/ijcet/v.8.3.23 ◽

2018 ◽

Vol 8 (3) ◽

Author(s):

Apurva Gautam ◽

Anupam Masih

Keyword(s):

Cost Function ◽

Power Plants ◽

Search Algorithm ◽

Inequality Constraints ◽

Cuckoo Search ◽

Cuckoo Search Algorithm ◽

Economic Load Dispatch ◽

Fuel Cost ◽

Practical Applications ◽

Equality And Inequality Constraints

Economic Load Dispatch (ELD) is an important topic in the operation of power plants which can help to build up effecting generating management plans. The ELD problem has no smooth cost function with equality and inequality constraints which make it difficult to be effectively solved. The paper presents an application of Cuckoo Search Algorithm (CSA) to solve Economic Load Dispatch (ELD) problems with smooth and non-smooth fuel cost objective functions. Main objective of ELD is to determine the most economic generating dispatch required to satisfy the predicted load demands including line losses over a certain period of time while relaxing various equality and inequality constraints. The unit Min/Max operational constraints, effects of valve-point loading ripples and line losses are considered for the practical applications. This paper describes the implementation of smooth and non smooth fuel cost function by CSA Method and its comparison with BAT method. We have used 6 and 12 bus system for calculating their total fuel cost.

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