Hybrid Search Optimization Algorithms for the Security Constrained Unit Commitment Solution
J. Mahil1, A. Anto Spiritus Kingsly2, Satyanarayana Addala3
1J. Mahil, Professor, Dept. of Electrical and Electronics Engineering, Swarnandhra College of Engineering and Technology, Narsapur, Andhra Pradesh, India.
2A. Anto Spiritus Kingsly, Professor, Dept. of Electronics and Communication Engineering, Swarnandhra College of Engineering and Technology, Narsapur, Andhra Pradesh, India.
3Satyanarayana Addala, Assistant Professor, Dept. of Electrical and Electronics Engineering, Swarnandhra College of Engineering and Technology, Narsapur, Andhra Pradesh, India.
Manuscript received on February 09, 2019. | Revised Manuscript received on February 14 2019. | Manuscript published on August 30, 2019. | PP: 3542-3547 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9346088619/19©BEIESP | DOI: 10.35940/ijeat.F9346.088619
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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 effect of a lot of wind has convoluted ramifications to Unit Commitment (UC) and Economic Dispatch (ED). The Security Constrained Unit Commitment (SCUC) is utilized to acquire a UC with the base expense and framework’s security. Ordinarily, the SCUC’s limitations incorporate the heap balance, the hold prerequisite, slope rate limits, minimum up and down time limits and network constraints. In this paper, Memetic Algorithm (MM) algorithm based Prediction Intervals (PIs) are executed utilizing hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) based Lower–Upper Bound Estimation (LUBE) technique for wind power conjecture vulnerability evaluation. At that point the wind control situations are fused into a SCUC model. Hybrid MM-Bee Colony algorithm is utilized to take care of the stochastic SCUC issue.
Keywords: Decision making, Particle Swarm Optimization and Gravitational Search Algorithm, Bee Colony algorithm, Prediction Interval, Memetic Algorithm.