Published in: ماهنامه بین المللی مهندسی، دوره: 33، شماره: 4
COI code: JR_IJE-33-4_009
Paper Language: English
How to Download This Paper
For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.
Authors A Proposed Improved Hybrid Hill Climbing Algorithm with the Capability of Local Search for Solving the Nonlinear Economic Load Dispatch ProblemM. R. Gholami Dehbalaee - Electrical Engineering Department, Engineering Faculty, Razi University, Kermanshah, Iran
G. H. Shaeisi - Electrical Engineering Department, Engineering Faculty, Razi University, Kermanshah, Iran
M. Valizadeh - Electrical Engineering Department, Engineering Faculty, Ilam University, Ilam, Iran
Abstract:This paper introduces a new hybrid hill-climbing algorithm (HHC) for solving the Economic Dispatch (ED) problem. This algorithm solves the ED problems with a systematic search structure with a global search. It improves the results obtained from an evolutionary algorithm with local search and converges to the best possible solution that grabs the accuracy of the problem. The most important goal of economic load dispatch is the optimal allocation of each generator s contribution to provide the load and reduce the costs of active units in the power system. This is generally due to presence of the nonlinear factors and limitations, such as the effect of the steam inlet valve (valve point effect (VPE)), the balance between the power generation and power demand of the system, the prohibited operating zones (POZS), power generation limits, ramp rate limits, and transmission losses. This algorithm is implemented on three 13-unit, 15-unit and 40-unit test systems with different operating conditions, and also for the same three test systems in combination with the evolutionary PSO algorithm. The simulation results show the efficiency of the proposed algorithm in solving ED problems.
Keywords:Hybrid Hill Climbing, Prohibited Zones, PSO, Valve Point Effect
COI code: JR_IJE-33-4_009
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Gholami Dehbalaee, M. R.; G. H. Shaeisi & M. Valizadeh, 2020, A Proposed Improved Hybrid Hill Climbing Algorithm with the Capability of Local Search for Solving the Nonlinear Economic Load Dispatch Problem, International Journal of Engineering (IJE) 33 (4), https://www.civilica.com/Paper-JR_IJE-JR_IJE-33-4_009.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Gholami Dehbalaee, M. R.; G. H. Shaeisi & M. Valizadeh, 2020)
Second and more: (Gholami Dehbalaee; Shaeisi & Valizadeh, 2020)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)
The University/Research Center Information:
Type: state university
Paper No.: 7870
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.
Research Info Management
Export Citation info of this paper to research management softwares
New Related Papers
- Mass Cultivation Phytoplankton Nannochloropsis oculata in the indoor and outdoor systems
- Determination the chilling requirement of pistachio cv. Badamie Sefide Mahvelat and its strategic role in pistachio orchards management of Khorasan Razavi, Iran
- Designing the pattern of linkage among Animosity of Customer, buy Intention, and Perception of Customer about Product Innovation
- Application of the artificial intelligence to project learning in comprehensive elements of construction projects
- Metal Oxide/Hydroxides Materials in Inorganic Flame Retardant Coating Applications
The Above articles are recently indexed in the related subjects
Iran Scientific Advertisment Netword
Share this paper
WHAT IS COI?
COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.