Abstract
In the few last decades, Distribution Generation (DG) has drawn a great attention by researchers around the world in the field of Radial Distributed Systems (RDSs). Generally, the optimal placement is based on the maximization of the Voltage Stability Index (VSI) and the optimal sizing is based on the minimization of the Total Active Power Losses (TAPLs). Hence, a Multi-Objective Optimization Problem (MOOP) is proposed to achieve the both mentioned objectives. For this purpose, a new simple optimization algorithm known as Bat Algorithm (BA) based on Weight Sum Method (WSM) has been used to resolve the MOOP. Then, the Fuzzy Based (FB) technique is employed to find the Best Compromise Solution. This paper also provides a comparison between the proposed algorithm and other recently published methods. From the obtained results, the advantage of the proposed algorithm is clearly observed from multiple points of view such as enhancement of Voltage Profile (VP), decreasing of the TAPL, and the maximization of the VSI. The investigations have been carried out on a standard IEEE 12-bus, 33-bus, 69-bus, and 85-bus test feeders.
Highlights
Nowadays, the Distributed Generations (DGs) are becoming more important in radial distributed systems due to the increase of electrical energy demands [1]
The expected value of the total active power losses and the voltage stability index of the objective function can be calculated by using Backward Forward Sweep (BFS) approach for each solution or bat
The proposed Multi Objective Bat Algorithm (MOBA) algorithm has been tested on 12-bus, 33-bus, 69-bus, and 85-bus [28], [29] and [30] radial distribution systems
Summary
The Distributed Generations (DGs) are becoming more important in radial distributed systems due to the increase of electrical energy demands [1]. The employment of DG units in distributed radial networks has drawn a great attention by many researchers around the world due to their effectiveness in power losses reduction, enhancement of voltage stability index, low cost, and the exploitation of renewable energies [6]. For this purpose, different approaches based on classical, and meta-heuristics algorithms have been described in the literature to solve the problem of placement and sizing of DG units. Where Vi and δi are the voltage magnitude and angle at each bus, respectively; (Ri + jXi) is the impedance of the line between buses i − 1 and i; Pi, Qi are the active (resp. reactive) power injections at the same bus; Nbus is the number of buses
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