Increasing Benefits in High PV Penetration Distribution System by Using Battery Enegy Storage and Capacitor Placement Based on Salp Swarm Algorithm

Nathphol Khaboot,Pirat Khunkitti,Apirat Siritaratiwat,Chitchai Srithapon

doi:10.3390/en12244817

Nathphol Khaboot, Pirat Khunkitti + Show 2 more

Open Access

https://doi.org/10.3390/en12244817

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Journal: Energies	Publication Date: Dec 17, 2019
Citations: 19	License type: CC BY 4.0

Affiliation: Khon Kaen University

Abstract

This work aims to maximize the benefit of the low-voltage (LV) level distribution system with high photovoltaic (PV) penetration by using an optimal installation of a battery energy storage system (BESS) and capacitor. The 41-bus practical distribution system located in Thailand was focused on. The comprehensive objective function regarding the focused system was proposed. The Salp Swarm and Genetic Algorithms were applied to solve the optimization problem. The total net present value (NPV) of utility was performed as a beneficial indicator, and it was determined by the overall costs and benefits of BESS installation and capacitor placement. A comparison of total NPV in the cases of centralized BESS installation, BESS installation with LV capacitor placement, and decentralized BESS installation was indicated. The results showed that all cases of BESS installation could increasingly flatten the load on the transformer; meanwhile, the voltage profile of the system was significantly improved. Optimal installation of centralized BESS simultaneously with LV capacitor placement provides higher NPV than the case with only centralized BESS installation. In particular, the highest NPV was obtained in the case of installing decentralized BESS. The results can be utilized to maximize the benefits of the utility in the distribution system at a high PV penetration level.

Highlights

Encouraging the use of renewable energy sources (RESs) for electricity generation is continually increasing in several countries around the world aiming to reduce the use of energy sources emitting greenhouse gas
The results indicated that the Salp Swarm Algorithm (SSA) was more suitable for optimizing the proposed optimization problem than the genetic algorithm (GA)
It is seen that the system with a high PV penetration level of 155% could be well handled without violation constraints by using the implementation of battery energy storage system (BESS)

Summary

Introduction

Encouraging the use of renewable energy sources (RESs) for electricity generation is continually increasing in several countries around the world aiming to reduce the use of energy sources emitting greenhouse gas. The major concern of PV systems is that their output characteristics highly depend on the amount of sunlight This may cause poor impacts on the distribution system in terms of power quality and efficiency of energy usage. The significant issue of the distribution system with a high PV penetration level is an occurrence of overvoltage, which normally occurs when the power flow is reversed to a transformer or substation [1]. This reverse power flow can cause other issues, such as increasing of fault current, fault tripping, total harmonic distortion, and blinding of protection [2].

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