Impact of Electric Vehicle on Residential Power Distribution Considering Energy Management Strategy and Stochastic Monte Carlo Algorithm
The area of a Microgrid (<i>μ</i>G) is a very fast-growing and promising system for overcoming power barriers. This paper examines the impacts of a microgrid system considering Electric Vehicle Grid Integration (EVGI) based on stochastic metaheuristic methods. One of the biggest challeng...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/3/1358 |
| _version_ | 1827760106878533632 |
|---|---|
| author | Abdulgader Alsharif Chee Wei Tan Razman Ayop Ahmed Al Smin Abdussalam Ali Ahmed Farag Hamed Kuwil Mohamed Mohamed Khaleel |
| author_facet | Abdulgader Alsharif Chee Wei Tan Razman Ayop Ahmed Al Smin Abdussalam Ali Ahmed Farag Hamed Kuwil Mohamed Mohamed Khaleel |
| author_sort | Abdulgader Alsharif |
| collection | DOAJ |
| description | The area of a Microgrid (<i>μ</i>G) is a very fast-growing and promising system for overcoming power barriers. This paper examines the impacts of a microgrid system considering Electric Vehicle Grid Integration (EVGI) based on stochastic metaheuristic methods. One of the biggest challenges to slowing down global climate change is the transition to sustainable mobility. Renewable Energy Sources (RESs) integrated with Evs are considered a solution for the power and environmental issues needed to achieve Sustainable Development Goal Seven (SDG7) and Climate Action Goal 13 (CAG13). The aforementioned goals can be achieved by coupling Evs with the utility grid and other RESs using Vehicle-to-Grid (V2G) technology to form a hybrid system. Overloading is a challenge due to the unknown number of loads (unknown number of Evs). Thus, this study helps to establish the system impact of the uncertainties (arrival and departure Evs) by proposing Stochastic Monte Carlo Method (SMCM) to be addressed. The main objective of this research is to size the system configurations using a metaheuristic algorithm and analyze the impact of an uncertain number of Evs on the distribution of residential power in Tripoli-Libya to gain a cost-effective, reliable, and renewable system. The Improved Antlion Optimization (IALO) algorithm is an optimization technique used for determining the optimal number of configurations of the hybrid system considering multiple sources, while the Rule-Based Energy Management Strategy (RB-EMS) controlling algorithm is used to control the flow of power in the electric power system. The sensitivity analysis of the effect parameters has been taken into account to assess the expected impact in the future. The results obtained from the sizing, controlling, and sensitivity analyses are discussed. |
| first_indexed | 2024-03-11T09:45:45Z |
| format | Article |
| id | doaj.art-2405922c2ad6493cbb7460ba776729c6 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T09:45:45Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2405922c2ad6493cbb7460ba776729c62023-11-16T16:36:22ZengMDPI AGEnergies1996-10732023-01-01163135810.3390/en16031358Impact of Electric Vehicle on Residential Power Distribution Considering Energy Management Strategy and Stochastic Monte Carlo AlgorithmAbdulgader Alsharif0Chee Wei Tan1Razman Ayop2Ahmed Al Smin3Abdussalam Ali Ahmed4Farag Hamed Kuwil5Mohamed Mohamed Khaleel6Division of Electric Power Engineering, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Skudai 81310, Johor, MalaysiaDivision of Electric Power Engineering, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Skudai 81310, Johor, MalaysiaDivision of Electric Power Engineering, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Skudai 81310, Johor, MalaysiaHigher Institute of Science and Technology Suk Algumaa, Tripoli, LibyaMechanical Engineering Department, Bani Waleed University, Bani Waleed, LibyaDepartment of Computer Engineering, Tripoli University, Tripoli, LibyaAeronautical Engineering Department, College of Civil Aviation, Misurata 934M+2PP, LibyaThe area of a Microgrid (<i>μ</i>G) is a very fast-growing and promising system for overcoming power barriers. This paper examines the impacts of a microgrid system considering Electric Vehicle Grid Integration (EVGI) based on stochastic metaheuristic methods. One of the biggest challenges to slowing down global climate change is the transition to sustainable mobility. Renewable Energy Sources (RESs) integrated with Evs are considered a solution for the power and environmental issues needed to achieve Sustainable Development Goal Seven (SDG7) and Climate Action Goal 13 (CAG13). The aforementioned goals can be achieved by coupling Evs with the utility grid and other RESs using Vehicle-to-Grid (V2G) technology to form a hybrid system. Overloading is a challenge due to the unknown number of loads (unknown number of Evs). Thus, this study helps to establish the system impact of the uncertainties (arrival and departure Evs) by proposing Stochastic Monte Carlo Method (SMCM) to be addressed. The main objective of this research is to size the system configurations using a metaheuristic algorithm and analyze the impact of an uncertain number of Evs on the distribution of residential power in Tripoli-Libya to gain a cost-effective, reliable, and renewable system. The Improved Antlion Optimization (IALO) algorithm is an optimization technique used for determining the optimal number of configurations of the hybrid system considering multiple sources, while the Rule-Based Energy Management Strategy (RB-EMS) controlling algorithm is used to control the flow of power in the electric power system. The sensitivity analysis of the effect parameters has been taken into account to assess the expected impact in the future. The results obtained from the sizing, controlling, and sensitivity analyses are discussed.https://www.mdpi.com/1996-1073/16/3/1358Microgrid (<i>μ</i>G)renewable energy sourcesVehicle-to-Grid (V2G)Sustainable Development Goal Seven (SDG7)Improved Antlion Optimization (IALO)Rule-Based Energy Management Strategy (RB-EMS) |
| spellingShingle | Abdulgader Alsharif Chee Wei Tan Razman Ayop Ahmed Al Smin Abdussalam Ali Ahmed Farag Hamed Kuwil Mohamed Mohamed Khaleel Impact of Electric Vehicle on Residential Power Distribution Considering Energy Management Strategy and Stochastic Monte Carlo Algorithm Energies Microgrid (<i>μ</i>G) renewable energy sources Vehicle-to-Grid (V2G) Sustainable Development Goal Seven (SDG7) Improved Antlion Optimization (IALO) Rule-Based Energy Management Strategy (RB-EMS) |
| title | Impact of Electric Vehicle on Residential Power Distribution Considering Energy Management Strategy and Stochastic Monte Carlo Algorithm |
| title_full | Impact of Electric Vehicle on Residential Power Distribution Considering Energy Management Strategy and Stochastic Monte Carlo Algorithm |
| title_fullStr | Impact of Electric Vehicle on Residential Power Distribution Considering Energy Management Strategy and Stochastic Monte Carlo Algorithm |
| title_full_unstemmed | Impact of Electric Vehicle on Residential Power Distribution Considering Energy Management Strategy and Stochastic Monte Carlo Algorithm |
| title_short | Impact of Electric Vehicle on Residential Power Distribution Considering Energy Management Strategy and Stochastic Monte Carlo Algorithm |
| title_sort | impact of electric vehicle on residential power distribution considering energy management strategy and stochastic monte carlo algorithm |
| topic | Microgrid (<i>μ</i>G) renewable energy sources Vehicle-to-Grid (V2G) Sustainable Development Goal Seven (SDG7) Improved Antlion Optimization (IALO) Rule-Based Energy Management Strategy (RB-EMS) |
| url | https://www.mdpi.com/1996-1073/16/3/1358 |
| work_keys_str_mv | AT abdulgaderalsharif impactofelectricvehicleonresidentialpowerdistributionconsideringenergymanagementstrategyandstochasticmontecarloalgorithm AT cheeweitan impactofelectricvehicleonresidentialpowerdistributionconsideringenergymanagementstrategyandstochasticmontecarloalgorithm AT razmanayop impactofelectricvehicleonresidentialpowerdistributionconsideringenergymanagementstrategyandstochasticmontecarloalgorithm AT ahmedalsmin impactofelectricvehicleonresidentialpowerdistributionconsideringenergymanagementstrategyandstochasticmontecarloalgorithm AT abdussalamaliahmed impactofelectricvehicleonresidentialpowerdistributionconsideringenergymanagementstrategyandstochasticmontecarloalgorithm AT faraghamedkuwil impactofelectricvehicleonresidentialpowerdistributionconsideringenergymanagementstrategyandstochasticmontecarloalgorithm AT mohamedmohamedkhaleel impactofelectricvehicleonresidentialpowerdistributionconsideringenergymanagementstrategyandstochasticmontecarloalgorithm |