A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual Data

Md Masud Rana, Akhlaqur Rahman, Moslem Uddin, Md Rasel Sarkar, Sk. A. Shezan, Md. Fatin Ishraque, S M Sajjad Hossain Rafin and Mohamed Atef
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Md Masud Rana: Centre for Smart Grid Energy Research (CSMER), Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, Malaysia
Akhlaqur Rahman: Department of Electrical Engineering and Industrial Automation, Melbourne Campus, Engineering Institute of Technology, Melbourne, VIC 3001, Australia
Moslem Uddin: School of Engineering & Information Technology, The University of New South Wales, Canberra, ACT 2610, Australia
Md Rasel Sarkar: School of Engineering & Information Technology, The University of New South Wales, Canberra, ACT 2610, Australia
Sk. A. Shezan: Department of Electrical Engineering and Industrial Automation, Melbourne Campus, Engineering Institute of Technology, Melbourne, VIC 3001, Australia
Md. Fatin Ishraque: Department of Electrical, Electronic and Communication Engineering, Pabna University of Science and Technology, Pabna 6600, Bangladesh
S M Sajjad Hossain Rafin: School of Engineering and Built Environment, Griffith University, Gold Coast, QLD 4215, Australia
Mohamed Atef: Centre for Smart Grid Energy Research (CSMER), Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, Malaysia

Energies, 2022, vol. 15, issue 1, 1-16

Abstract: Peak load reduction is one of the most essential obligations and cost-effective tasks for electrical energy consumers. An isolated microgrid (IMG) system is an independent limited capacity power system where the peak shaving application can perform a vital role in the economic operation. This paper presents a comparative analysis of a categorical variable decision tree algorithm (CVDTA) with the most common peak shaving technique, namely, the general capacity addition technique, to evaluate the peak shaving performance for an IMG system. The CVDTA algorithm deals with the hybrid photovoltaic (PV)—battery energy storage system (BESS) to provide the peak shaving service where the capacity addition technique uses a peaking generator to minimize the peak demand. An actual IMG system model is developed in MATLAB/Simulink software to analyze the peak shaving performance. The model consists of four major components such as, PV, BESS, variable load, and gas turbine generator (GTG) dispatch models for the proposed algorithm, where the BESS and PV models are not applicable for the capacity addition technique. Actual variable load data and PV generation data are considered to conduct the simulation case studies which are collected from a real IMG system. The simulation result exhibits the effectiveness of the CVDTA algorithm which can minimize the peak demand better than the capacity addition technique. By ensuring the peak shaving operation and handling the economic generation dispatch, the CVDTA algorithm can ensure more energy savings, fewer system losses, less operation and maintenance (O&M) cost, etc., where the general capacity addition technique is limited.

Keywords: microgrid system; peak load shaving; photovoltaic system; battery energy storage system; peak shaving technique (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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