Determination of the Electricity Storage Power and Capacity for Cooperation with the Microgrid Implementing the Peak Shaving Strategy in Selected Industrial Enterprises
Rafał Kuźniak,
Artur Pawelec,
Artur Bartosik and
Marek Pawełczyk
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Rafał Kuźniak: Faculty of Management and Computer Modeling, Kielce University of Technology, Al. Tysiąclecia P.P.7, 25-314 Kielce, Poland
Artur Pawelec: Faculty of Management and Computer Modeling, Kielce University of Technology, Al. Tysiąclecia P.P.7, 25-314 Kielce, Poland
Artur Bartosik: Faculty of Management and Computer Modeling, Kielce University of Technology, Al. Tysiąclecia P.P.7, 25-314 Kielce, Poland
Marek Pawełczyk: Faculty of Management and Computer Modeling, Kielce University of Technology, Al. Tysiąclecia P.P.7, 25-314 Kielce, Poland
Energies, 2022, vol. 15, issue 13, 1-20
Abstract:
The capacity limitations of distribution networks, the increasing demands for electricity installation in terms of electricity quality parameters, and the development of electromobility all increase the need to implement systems in order to stabilize and regulate loads for end users. Battery Energy Storage Systems (BESSs), that operate in internal microgrids of enterprises, allow smoothing of electrical power consumption profiles by actively reducing peak demand power. By using BESSs to implement a peak shaving strategy to reduce the peak power consumption of a company in an external network, energy efficiency can be improved by reducing contractual capacity. The aim of this study is to determine the conditions for the use of energy storage, in order to implement a peak shaving strategy for which the installation of the enterprise microgrid is economically efficient. The analysis of the operating conditions of the BESS should take into account the size of the energy storage, the characteristics of the demand profile for the demand systems, the charges related to electricity, and the costs of electricity storage. In the study, the size of the energy storage was related to the power and electrical capacity of the BESS that was used to implement the peak shaving strategy. The article presents the results of research on the method for determining an effective capacity and power of BESSs for enterprise microgrid systems. The technical and cost limitations of the actual microgrid system, which affected the decrease in economic efficiency of the peak shaving strategy in the company research, were taken into account. The simulations of the operation of the electricity storage system, based on real data of the demand of production companies, were based on the rules and market conditions in Poland.
Keywords: battery energy storage system; BESS management; peak shaving; microgrid; energy efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:13:p:4793-:d:852018
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