Abstract

The advance of the distributed generation in Brazil makes it essential to investigate the applications and transformations that the use of these new arrangements may entail. The use of non-centralized generation technologies associated with energy storage is interesting for several sectors of the energy market, even if the market is in the process of maturing these technologies. In the context of the time-of-use rate, these changes have allowed the consumer to use strategies to save energy bill costs, especially when its moment of most considerable consumption coincides with that of the highest tariff. In this paper, a Battery Energy Storage System (BESS) is used to perform commercial peak load reduction in a microgrid in connected mode. The microgrid also has a Photovoltaic (PV) Generator Farm as Renewable Energy Sources (RES) to provide load consumption and also to assist BESS in the peak shaving operation. The modeling and simulation of the system are performed by MATLAB/Simulink. The analysis demonstrates that the peak load reduction produces the expected financial benefits under a Brazilian time-of-use rate known as White Rate, in addition to carrying out the operation in a manner consistent with the technique from an electrical point of view. The software Homer Grid validates the potential savings. Thus, the results showed that the use of energy storage associated with renewable generation under a peak shaving strategy allows greater freedom for the consumer in the face of costs with main grid purchases.

Highlights

  • Electricity demand, or the energy load, varies over time during the day

  • This paper proposes the control of a Battery Energy Storage System (BESS) with PV generation to achieve commercial peak load shaving in a grid-connected mode microgrid

  • Both the model and the functions implemented in Simulink/MATLAB reproduced the system operation

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Summary

Introduction

Electricity demand, or the energy load, varies over time during the day. Meeting time-varying demand, especially in peak periods, presents a key challenge to electric utilities [1]. Uninterrupted growth of the peak load increases the possibility of a power failure and increases the supply cost to the consumer. Peak load shaving is a process of flattening the load curve by reducing the peak amount of load and shifting it to times of lower load consumption [2]. This strategy has become of great interest to utilities as the demand for power has grown within the industry, population, and in commerce. Electricity storage can be used by end users (i.e., utility customers) to reduce their overall costs for electric service by reducing their demand

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