A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual Data
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/1/330 |
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| author | Md Masud Rana Akhlaqur Rahman Moslem Uddin Md Rasel Sarkar Sk. A. Shezan Md. Fatin Ishraque S M Sajjad Hossain Rafin Mohamed Atef |
| author_facet | Md Masud Rana Akhlaqur Rahman Moslem Uddin Md Rasel Sarkar Sk. A. Shezan Md. Fatin Ishraque S M Sajjad Hossain Rafin Mohamed Atef |
| author_sort | Md Masud Rana |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T03:42:29Z |
| format | Article |
| id | doaj.art-683cb8ec675140cfb10348480e134327 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T03:42:29Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-683cb8ec675140cfb10348480e1343272023-11-23T11:29:02ZengMDPI AGEnergies1996-10732022-01-0115133010.3390/en15010330A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual DataMd Masud Rana0Akhlaqur Rahman1Moslem Uddin2Md Rasel Sarkar3Sk. A. Shezan4Md. Fatin Ishraque5S M Sajjad Hossain Rafin6Mohamed Atef7Centre for Smart Grid Energy Research (CSMER), Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, MalaysiaDepartment of Electrical Engineering and Industrial Automation, Melbourne Campus, Engineering Institute of Technology, Melbourne, VIC 3001, AustraliaSchool of Engineering & Information Technology, The University of New South Wales, Canberra, ACT 2610, AustraliaSchool of Engineering & Information Technology, The University of New South Wales, Canberra, ACT 2610, AustraliaDepartment of Electrical Engineering and Industrial Automation, Melbourne Campus, Engineering Institute of Technology, Melbourne, VIC 3001, AustraliaDepartment of Electrical, Electronic and Communication Engineering, Pabna University of Science and Technology, Pabna 6600, BangladeshSchool of Engineering and Built Environment, Griffith University, Gold Coast, QLD 4215, AustraliaCentre for Smart Grid Energy Research (CSMER), Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, MalaysiaPeak 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.https://www.mdpi.com/1996-1073/15/1/330microgrid systempeak load shavingphotovoltaic systembattery energy storage systempeak shaving technique |
| spellingShingle | Md Masud Rana Akhlaqur Rahman Moslem Uddin Md Rasel Sarkar Sk. A. Shezan Md. Fatin Ishraque S M Sajjad Hossain Rafin Mohamed Atef A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual Data Energies microgrid system peak load shaving photovoltaic system battery energy storage system peak shaving technique |
| title | A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual Data |
| title_full | A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual Data |
| title_fullStr | A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual Data |
| title_full_unstemmed | A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual Data |
| title_short | A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual Data |
| title_sort | comparative analysis of peak load shaving strategies for isolated microgrid using actual data |
| topic | microgrid system peak load shaving photovoltaic system battery energy storage system peak shaving technique |
| url | https://www.mdpi.com/1996-1073/15/1/330 |
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