Comparison Of Heuristic Algorithms Of Renewable Energy Resources For Loss Reduction

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Comparison of Heuristic Algorithms of Renewable Energy Resources for Loss Reduction in Distribution Network
Abstract-This paper suggests four heuristic algorithms for optimal loss reduction of power distribution network equipped with renewable energy resources. These algorithms are Gravitational Search Algorithm (GSA), Bat Algorithm (BA), Imperialist Competitive Algorithm (ICA) and Flower Pollination Algorithm (FPA). Placing renewable energy resources such as wind turbine (WT) and photovoltaic panels (PV) in certain locations in the power network with special sizes might share in reducing the power loss , and consequently, improving the voltage profile. In the present research, the heuristic algorithms are utilized to find the optimal
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O-PLF can be varied by simulation methods and analytical probabilistic methods. Monte Carlo Simulation (MCS) has been applied and introduced in [2,3,4]. The MCS method analyzed the optimal probabilistic load flow under the uncertainty of load in medium power systems. In [4] a technique combines Monte Carlo simulation techniques and multi-linearized power flow equations has been proposed, taken into account the natural behavior of power production for renewable generation. The proposed method in [4] has implemented providing accurate results but with a considerable time consumption. In order to decrease the operation time, the analytical probabilistic methods are anticipated. The main benefit of the analytical methods is to avoid the massive calculation time, and to ensure the simplicity to integrate more assumptions and complex mathematical techniques [5, 6]. Cumulants mechanism combined with the Gram-Charlier extension is offered to fix O-PLF in many manuscripts [7-9].
The unscented transformation (UT) method is applied in order to study the optimal probabilistic load flow analysis under the uncertainty of wind farms [5]. The modifications of Point Estimated Method (PEM) are utilized to solve O-PLF in power network equipped with wind turbines (WTs) and photovoltaic (PV) systems [12]. Also, 3-PEM is used for PV source with Electric Vehicles (EVs) application [13]. Meta-heuristic optimization techniques have
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