Hybrid Computational Intelligence Methods for Power System Optimization
Imran Rahman1, Junita Mohamad-Saleh2
1Imran Rahman, Department of Electrical & Electronic Engineering, Universiti Sains Malaysia (USM), Engineering Campus, Nibong Tebal, Pulau Pinang, Malaysia.
2Junita Mohamad-Saleh, Department of Electrical & Electronic Engineering, Universiti Sains Malaysia (USM), Engineering Campus, Nibong Tebal, Pulau Pinang, Malaysia.
Manuscript received on 25 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1962-1966 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B12040882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1204.0882S819
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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: The best economic interest and arranging of electrical network framework has constantly worried an important worry within the power designing. constant improvement inside the petroleum by-product advent, large interconnection of the electrical structures and electricity emergency in the world require the monetary hobby of devoted strength delivering gadgets. subsequently, it is critical to contemplate most gifted streamlining strategies by way of getting basic elements of interest of simple detailing and execution of precise problem. This paper gives a diagram of large half of of and half of of computational knowledge (CI) techniques connected in power framework improvement. one-of-a-type applications and inspirations riding the enhancements of half of and 1/2 CI techniques are accentuated. At final, some impending exploration regulations are proposed for the half of and 1/2 strategies improvement.
Keywords: Hybrid Computational Intelligence, Power System, Optimization, Algorithm.
Scope of the Article: Artificial Intelligence