A rule-based power management strategy for Vehicle-to-Grid system using antlion sizing optimization

Alsharif, Abdulgader; Tan, Chee Wei; Ayop, Razman; Lau, Kwan Yiew; Dobi, Abdulhakeem Mohammed

doi:10.1016/j.est.2021.102913

Cited by 38 publications

(14 citation statements)

References 59 publications

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“…( 13) was utilized to update all ants and antlions' positions by levy flight algorithm instead of using Roulette Wheel Selection. 𝑥 R (7•1) = 𝑥 R (7) + 𝛼 ⊗ 𝑙'𝑒𝑣𝑦 𝑠 (13) where the 𝑥 R (7) is the current position of ant, 𝑥 R (7•1) denoted as the new position, 𝛼 is considered as constant value and known as step size which is considered as greater than 0, and 𝑠 is step length that can be mathematically expressed as Equation. ( 14).…”

Section: Improved Antlion Optimization Algorithmmentioning

confidence: 99%

“…Generally, there are three main supervisory control algorithms used to control the flown power in the electric systems: Optimization-Based (OB), Learning-Based (LB), and Rule-Based (RB), however, they differ in proving exact results [6]. The idea behind the third mentioned which is RB-EMS depends on the (IF and THEN) statement as illustrated in Figure 5 [13]. The lastmentioned have been considered in this study due to the decision making faster than others in terms of time and providing an exact solution.…”

Section: Energy Management Strategymentioning

confidence: 99%

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Sizing Optimization Algorithm for Vehicle-to-Grid System Considering Cost and Reliability Based on Rule-Based Scheme

et al. 2022

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The most widely two Renewable Energy Sources (RESs) used are solar and wind as naturally found sources due to the provided merits as clean, free of charge, and environmentally friendly. However, they are facing limitations in intermittency. This article aims to utilize natural resources integrated with the utility grid and Electric Vehicle (EV) to provide a hybrid system with a minimum of two objectives namely Cost of Electricity (COE) and reliability using the Losses Power Supply Probability (LPSP) method. The two mentioned objectives are considered to satisfy the residential load demand with EV in terms of Vehicle-to-Grid (V2G) as this article considered. The mentioned objective has been addressed by the Improved Antlion Optimization Algorithm (IALO) and coupled with a high supervisory control method called Rule-Based Energy Management Strategy (RB-EMS) to guarantee to spread the power among the system component. Optimization results show the hybrid integration of the utilized RESs with the Battery (BT) gives the most economic and reliable system for the study area integrated with the EV battery. The gained result was validated with a natural-inspired metaheuristic algorithm called Particle Swarm Optimization (PSO). This article assesses the effect on the RESs generators to achieve an economic and reliable system.

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Section: Improved Antlion Optimization Algorithmmentioning

confidence: 99%

Section: Energy Management Strategymentioning

confidence: 99%

Sizing Optimization Algorithm for Vehicle-to-Grid System Considering Cost and Reliability Based on Rule-Based Scheme

et al. 2022

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“…The global expansion in the electrical power demand, the impact of environmental pollution, and the depletion of fossil fuel supplies have all prompted the development of alternative power sources. Concerns about energy supply, climate change, and economic competitiveness are causing a paradigm shift in global energy systems (Alsharif et al 2021). Climate change has been identified as the most serious concern facing the world in the coming decades by the majority of governments.…”

Section: Introductionmentioning

confidence: 99%

“…Ekren et al (Ekren et al 2021) built a wind-solar hybrid charging-station system using HOMER software and discovered that the best solution for the hybrid system contains 44.4 percent wind resources. To evaluate the performance of an off-grid solar photovoltaic system for the charging of electric vehicles, a feasibility study (Alsharif et al 2021) for establishing an EV charging station for the residential area based on a renewable hybrid system connected with a utility grid was explored. CO 2 emissions are expected to rise in Vietnam in the coming years/near future (Thanh 2021), with electric vehicles (EVs) playing a significant role in reducing fossil fuel consumption, So Thanh examined the design, simulation, and economic evaluation of a grid-connected solar-power system for an electric charging station at Thu Dau Mot University.…”

Section: Introductionmentioning

confidence: 99%

Investigation of a grid-connected solar pv system for the electric-vehicle charging station of an office building using pvsol software

Ibrahim¹

2022

Polityka Energetyczna – Energy Policy Journal

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Electric vehicles are predicted to blossom in Egypt in future years as an emerging technology in both the transportation and power sectors, contributing significantly to the decrease of fossil-fuel usage and CO 2 emissions. As a result, to mitigate overloads of the vehicle energy demand on the nation's electric grid, a solar PV system can be used to provide the electricity needs of an EV charging station. This objective of this paper is to present the design, simulation and economic analysis of a grid-connected solar-power system for an electric-charging station at a workplace in 6 th October city, Egypt using PVSOL simulation tool to supply energy to the charging station and office-building appliances. The ideal orientation of the PV panels for maximum energy was determined using data from the photovoltaic geographical information system and predicted load--profile patterns. The amount of electricity generated the efficiency of the PV power system, financial analysis in terms of investment costs and the return on assets, and the ability to reduce CO 2 emissions are all estimated in this study. This system also evaluates annual energy predictions and is used for electric-vehicle charging, grid feeding, and appliance consumption. Due to the relatively high solar insolation in Egypt; PV production energy was 10,463 kWh per year and the annual yield is 1,786.69 kWh/kWp. Of the power from PV generation, 66% is utilized for charging the electric 176 vehicle and 34% for electrical appliances. After applying the financial analysis for 20 years; the electricity production cost is 0.0032 $/kWh and the payback period for this proposed system is about five years. The annual energy costs after the installation of PV systems proposed system created a financial saving of 21%. The performance ratio of this system inverter is 84% and the monthly average of the electric vehicle SOC over a year doesn't decrease out of 27% plus 5 tons of CO 2 emissions per year were avoided. This research can be used as a recommendation for stakeholders who want to use this energy source for vehicle charging.

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“…Ref. [20] proposed a rule-based power management technique for V2G systems based on the antlion optimizer (ALO) algorithm, with the goal of increasing the renewable energy proportion while minimizing the losses power supply probability and electricity costs. Ref.…”

Section: Introductionmentioning

confidence: 99%

A New Control Strategy for Energy Management of Bidirectional Chargers for Electric Vehicles to Minimize Peak Load in Low-Voltage Grids with PV Generation

Fakhrooeian

Pitz

2022

WEVJ

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This paper introduces a new bidirectional vehicle-to-grid (V2G) control strategy for energy management of V2G charging points equipped with photovoltaic systems (PVs), considering the interaction between V2G chargers, electric vehicle (EV) owners, and the network operator. The proposed method aims to minimize peak load, grid infeed power, feeder loading, and transformer loading by scheduling EVs charging and discharging. The simulation experiments take into account three EV battery capacities as well as two levels of EV penetration. In order to validate the effectiveness of the proposed approach, five scenarios are studied in a single feeder of a low-voltage (LV) distribution network in DIgSILENT PowerFactory, which comprises a combination of residential and commercial loads as well as PV systems. Simulation results demonstrate that the proposed V2G strategy improves the paper’s objectives by providing ancillary services to the grid.

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A rule-based power management strategy for Vehicle-to-Grid system using antlion sizing optimization

Cited by 38 publications

References 59 publications

Sizing Optimization Algorithm for Vehicle-to-Grid System Considering Cost and Reliability Based on Rule-Based Scheme

Sizing Optimization Algorithm for Vehicle-to-Grid System Considering Cost and Reliability Based on Rule-Based Scheme

Investigation of a grid-connected solar pv system for the electric-vehicle charging station of an office building using pvsol software

A New Control Strategy for Energy Management of Bidirectional Chargers for Electric Vehicles to Minimize Peak Load in Low-Voltage Grids with PV Generation

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