A Comparative Analysis of a Hybrid System with Hybrid Methodologies
Ritu Sharma1, Raginee Sharma2, Achala Jain3
1Ritu Sharma, Department of Electrical Engineering, Shri Shankaracharya Group of Institutions, Bhilai (Chhattisgarh), India.
2Raginee Sharma*, Department of Electrical Engineering, Rungta College of Engineering and Technology, Bhilai (Chhattisgarh), India.
3Dr. Achala Jain, Department of Electrical and Electronics Engineering, Shri Shankaracharya Group of Institutions, Bhilai (Chhattisgarh), India.
Manuscript received on 15 May 2022. | Revised Manuscript received on 26 May 2022. | Manuscript published on 30 June 2022. | PP: 17-20 | Volume-11 Issue-7, June 2022. | Retrieval Number: 100.1/ijitee.G99690611722 | DOI: 10.35940/ijitee.G9969.0611722
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Economic Load Dispatch (ELD) is an important optimization problem in the energy system. Economic Dispatch (ED) is a short-term determination of the optimal performance of a set of power generation assets to meet the system load at the lowest possible cost, taking into account transmission and operational constraints. Economic dispatch problems are solved by dedicated computer software that needs to take into account the operational and system limitations of available resources and corresponding transmission functions. Economic load balancing provides optimal cost savings for power plant operations where methodologies can be applied in a variety of ways, from traditional to advanced. To achieve this, traditional methods have been used from the last few years to the 90’s, but in the last few decades AI methods have met their needs and validated satisfactory results. Some advanced hybrid techniques used are the Modified Salp Swarm Optimization Algorithm (MSSA) with Artificial Intelligent (AI) technique aided with Particle Swarm Optimization (PSO) technique, Improved Moth-Fly Optimization Algorithm (IMFOA) with the Recurrent Neural Network (RNN), the Improved Fruit Fly Optimization Algorithm (IFOA) with Artificial Neural Network (ANN) system and Lightning Search Algorithm (LSA) with Genetic Algorithm (GA) which will encourage the researches for providing better solution for economic load dispatch problem is presented in this paper.
Keywords: AI, ANN, ELD, ED, GA, IFOA, IMFOA, LSA, MSSA, PSO, RNN
Scope of the Article: Artificial Intelligence