Optimal Distributed Energy Resources Allocation for Enriching Reliability and Economic Benefits Using Sine-Cosine Algorithm

Abstract

This paper presents an optimization algorithm called sine-cosine algorithm (SCA) for optimal distributed energy resources (DERs) allocation in various configurations of radial distribution networks. This study is demonstrated in two statuses to find the optimal locations and sizes of DERs to be installed on the distribution system. First status; the most candidate locations for connecting DERs are suggested by using the loss sensitivity factor theory and the proposed SCA is applied to select the optimal capacities of DERs. Second status; the SCA is used to determine both the optimal locations and sizes of DERs. The positive impact of DERs on distribution systems reliability has been investigated in addition to the system power losses and bus voltages. The fitness function is to maximize the savings produced by not only power losses reduction but also reliability enhancement. The proposed algorithm is applied to IEEE 33 and 69-bus radial distribution networks with installing different number of DERs. The simulation results using Matlab programming environment show that the proposed methodology is viable, supporting reliability as well as fulfilling the conventional objectives such as cost minimization, voltage profile improvement, system losses reduction. A comparison between SCA and other methods is introduced to verify the superiority of SCA where SCA fulfils the maximum saving and maximum reduction of power losses equals to 61.3% and 69.2% for IEEE 33-bus and 69-bus networks, respectively.

Intelligent electric vehicles charging coupled demand response of isolated microgrid

“…Abdelsalam 31 has established the fact that SCA algorithm treats optimization problem as a black box. Thus, in the current work, SCA has been applied to optimize the cost of operation during DSM in MVMG.…”

“…Load frequency control problem for an islanded MG has been addressed by Khokhar et al using two‐dimensional sine logistic map based chaotic SCA 30 . Abdelazeem has applied SCA to select optimal capacities of DERs as well as to determine optimal locations and sizes of DERs 31 . Taking the above literatures into consideration, the authors of the current research have tested the ability of SCA to find the optimal solution for the DSM problem.…”

A comprehensive survey of sine cosine algorithm: variants and applications

“…( 2019 ) Radial Distribution Networks Ismael et al. ( 2017 ), Ang and Leeton ( 2019 ) Abdelsalam ( 2020 ), Raut and Mishra ( 2019 ) Raut and Mishra ( 2021 ) Optimal Load Frequency Control Mishra et al. ( 2018 ) , Babaei and Safari ( 2020 ) Optimal PMU Placement Laouamer et al.…”

“…Abdelsalam ( 2020 ) used SCA for optimal locations and sizes of distributed energy resources (DERs) in various configurations of radial distribution networks. The effectiveness of SCA was evaluated based on IEEE 33-bus and IEEE 69-bus radial distribution networks in comparison with Improved Analytical (IA) method.…”

“…Oscillation, time response, settling time, voltage, current and power of the system parameters were used to evaluate the performance of SCA and results demonstrated its effectiveness compared to P&O and PID methods by achieving the maximum power. Abdelsalam (2020) used SCA for optimal locations and sizes of distributed energy resources (DERs) in various configurations of radial distribution networks. The effectiveness of SCA was evaluated based on IEEE 33-bus and IEEE 69-bus radial distribution networks in comparison with Improved Analytical (IA) method.…”