Optimal Allocation of Capacitor Bank in Radial Distribution System using Analytical Approach

Abstract

<p>In this paper, a novel analytical technique is proposed for optimal allocation of shunt capacitor bank in radial distribution system. An objective function is formulated to determine the optimal size, number and location of capacitor bank for real & reactive power loss reduction, voltage profile enhancement and annual cost saving. A new constant, Power Voltage Sensitivity Constant (PVSC), has been proposed here. The value of PVSC constant decides the candidate bus location and size. The achievability of the proposed method has been demonstrated on IEEE-69 bus and real distribution system of Jamawaramgarh, Jaipur city. The obtained results are compared with latest optimization techniques to show the effectiveness and robustness of the proposed technique.</p>

Salp swarm algorithm applied to optimal capacitor allocation problem in distribution network for annual cost savings

“…Considering the cost saving at heavy load level, it is obvious that the minimum and maximum cost saving difference between Sampangi and Jayabarathi (2020) and the proposed method are found to be 0.057% and 0.54% respectively. In spite of the increased capacitor purchase cost, the annual cost saving achieved by SSA is still better compared to Nawaz et al (2017); Devabalaji et al (2018); Sampangi and Jayabarathi (2020) and Kien et al (2021). Fig.…”

“…IEEE 69 and Indian 85 bus test systems have been taken to validate the performance of SMOA and combined optimization approach (COA). power voltage sensitivity constant (PVSC) based determination of potential buses that require compensation and Nawaz et al (2017) have presented optimal capacitor sizing using the analytical technique. Two test systems such as IEEE 69 bus and a practical Indian 130 bus test system are taken to verify the usefulness of the proposed method under three load levels.…”

“…Nevertheless, some of the drawbacks observed in capacitor allocation problems are the determination of optimal capacitor node and sizing independently could lead the result being trapped in local minima instead of global ones due to the calculation of the capacitor size based on the predetermined locations (Youssef et al, 2018;Devabalaji et al, 2018;Abdelsalam and Mansour, 2019). and also some of the papers have dealt the capacitor placement problem considering the capacitor treated as a continuous variable instead of discrete types (Nawaz et al, 2017;Das and Malakar 2021;Mahmoud and Lehtonen, 2021). On the other hand, available commercial capacitors are of discrete types.…”

“…Bus voltage profile -modified 12 busTable 2 reveals the performance of the IEEE 69-bus system under light load level. From Table2, it is apparent that consequent to the reactive power compensation, the PLoss has reduced by 33.55%, which is better thanNawaz et al (2017);Devabalaji et al (2018) by comparing the economical benefit achieved by SSA with other existing methods(Sampangi and Jayabarathi 2020;Kien et al, 2021), the cost-benefit almost equals GWO and WCA. However, it is apparent that SMOA achieves better performance compared to SSA, which is below 0.3%.…”