Abstract
In recent years, the integration of distributed generators (DGs) in radial distribution systems (RDS) has received considerable attention in power system research. The major purpose of DG integration is to decrease the power losses and improve the voltage profiles that directly lead to improving the overall efficiency of the power system. Therefore, this paper proposes a hybrid optimization technique based on analytical and metaheuristic algorithms for optimal DG allocation in RDS. In the proposed technique, the loss sensitivity factor (LSF) is utilized to reduce the search space of the DG locations, while the analytical technique is used to calculate initial DG sizes based on a mathematical formulation. Then, a metaheuristic sine cosine algorithm (SCA) is applied to identify the optimal DG allocation based on the LSF and analytical techniques instead of using random initialization. To prove the superiority and high performance of the proposed hybrid technique, two standard RDSs, IEEE 33-bus and 69-bus, are considered. Additionally, a comparison between the proposed techniques, standard SCA, and other existing optimization techniques is carried out. The main findings confirmed the enhancement in the convergence of the proposed technique compared with the standard SCA and the ability to allocate multiple DGs in RDS.
Highlights
Accepted: 4 June 2021Distributed generators (DGs) are energy devices that are attached directly to the distribution network or the consumption location
loss sensitivity factor (LSF) is used to identify the candidate buses for the distributed generators (DGs) locations, while the analytical technique is implemented to determine the best sizes of the DGs at the combinations of the candidate buses; these values are used as the initial values in sine cosine algorithm (SCA) to specify the optimal locations and sizes of the DGs
Bus 6 is the best location for two approaches with the same power factor and nearly the same size, the power loss obtained for two approaches is 67.855 kW, as shown in Table 4, which is better than 82.78 kW in backtracking search optimization algorithm (BSOA) [15], 67.9 kW in the hybrid technique [30], and
Summary
Distributed generators (DGs) are energy devices that are attached directly to the distribution network or the consumption location. Some of the analytical algorithms are not suitable to find the optimal size and location of multiple DGs [14]. A hybrid between analytical and metaheuristic optimization algorithms is developed to optimally allocate multiple DG units into RDS. Proposing a hybrid between the analytical technique and sine cosine algorithm (SCA). Applying the proposed hybrid technique to determine the optimal allocation of DG units in RDS to minimize the total losses. Checking the performance of the proposed hybrid technique compared to the conventional SCA and other well-known optimization methods using standard IEEE 33-bus and 69-bus RDS.
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