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In this paper, we show that by suitably integrating simulated annealing (SA) with perturb and observe (P&O) algorithm, the performance of maximum power point tracking (MPPT) in a photovoltaic (PV) system under non uniform insolation conditions can be substantially improved. The appealing advantages of SA and P&O method are thus combined to yield a robust MPPT which always guarantees global...
This paper proposes a novel maximum power point tracking (MPPT) algorithm for photovoltaic (PV) power generation systems under non-uniform illumination. The proposed MPPT algorithm is composed of gravitational search algorithm (GSA) and traditional perturb and observe (P&O) method. In the initial stages of tracking, the power-voltage (P-V) curve is scanned through GSA and the best solution obtained...
The perturb and observe (P&O) algorithm is a simple and efficient technique, and is one of the most commonly employed maximum power point (MPP) tracking (MPPT) schemes for photovoltaic (PV) power-generation systems. However, under partially shaded conditions (PSCs), P&O method miserably fails to recognize global MPP (GMPP) and gets trapped in one of the local MPPs (LMPPs). This paper proposes...
This paper presents a new approach for binary and real coded particle swarm optimization (BRPSO) algorithm to solve the unit commitment problem (UCP). On solving UCP, the proposed binary coded PSO finds the ON/OFF status of the generating units while the economic dispatch problem (EDP) is solved using the real coded PSO. Tanh function is proposed to improve the particle searching mechanism in binary...
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