Multi-Objective Dynamic Economic Dispatch of Microgrid Systems Including Vehicle-to-Grid

Liu, Haitao; Ji, Yu; Zhuang, Huaidong; Wu, Hongbin

doi:10.3390/en8054476

Cited by 61 publications

(72 citation statements)

References 24 publications

(30 reference statements)

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“…Moreover, the charging and discharging of EVs from the DR programs could be identified and evaluated in optimal conditions for the customer type in terms of DR programs and DR potential benefits [23]. Therefore, optimization techniques are applied to find the optimal solution to problems that affect the PEVs increase and high consumption of energy from the electrical power system networks [9,[24][25][26]. Meanwhile, many current PEVs have been provided for users to replace the old internal combustion car, which are produced by different brands in the market.…”

Section: Introductionmentioning

confidence: 99%

Impact of Plug-in Electric Vehicles Integrated into Power Distribution System Based on Voltage-Dependent Power Flow Analysis

Kongjeen

Bhumkittipich

2018

Energies

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This paper proposes the impact of plug-in electric vehicles (PEVs) integrated into a power distribution system based on voltage-dependent control. The gasolinegate situation has many people turning to electric vehicles as a more environmentally friendly option, especially in smart community areas. The advantage of PEVs is modern vehicles that can use several types of fuel cells and batteries as energy sources. The proposed PEVs model was developed as a static load model in power distribution systems under balanced load conditions. The power flow analysis was determined by using certain parameters of the proposed electrical network. The main research objective was to determine the voltage magnitude profiles, the load voltage deviation, and total power losses of the electrical power system by using the new proposed methodology. Furthermore, it investigated the effects of the constant power load, the constant current load, the constant impedance load, and the plug-in electric vehicles load model. The IEEE 33 bus system was selected as the test system. The proposed methodology assigned the balanced load types in a steady state condition and used the new methodology to solve the power flow problem. The simulation results showed that increasing the plug-in electric vehicles load had an impact on the grids when compared with the other four load types. The lowest increased value for the plug-in electric vehicles load had an effect on the load voltage deviation (0.062), the total active power loss (120 kW) and the total reactive power loss (80 kVar), respectively. Therefore, this study verified that the load of PEVs can affect the electrical power system according to the time charging and charger position. Therefore, future work could examine the difference caused when PEVs are attached to the electrical power system by means of the conventional or complex load type.

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Section: Introductionmentioning

confidence: 99%

Impact of Plug-in Electric Vehicles Integrated into Power Distribution System Based on Voltage-Dependent Power Flow Analysis

Kongjeen

Bhumkittipich

2018

Energies

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“…This has been generally dealt with by estimating the time of arrival of people at home [13,[18][19][20]. Another problem is the determination of the minimum final SOC of private vehicles.…”

Section: Related Workmentioning

confidence: 99%

The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and Microgrid

2018

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Abstract:The introduction of shared autonomous electric vehicles (SAEVs), expected within the next decade, can transform the car into a service, accelerate electrification of the transport sector, and allow for large scale control of electric vehicle charging. In this work, we investigate the potential for this system to provide aggregated storage when combined with intermittent renewable energy sources. We develop a simulation methodology for the optimization of vehicle charging in the context of a virtual power plant or microgrid, with and without grid connection or distributed dispatchable generators. The model considers aggregate storage availability from vehicles based on transport patterns taking into account the necessary vehicle redistribution. We investigate the case of a grid-connected VPP with rooftop solar and the case of a isolated microgrid with solar, wind, and dispatchable generation. We conduct a comprehensive sensitivity analysis to study the effect of several parameters on the results for both cases.

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“…Pelet et al [28] adopted a multi-objective evolutionary programming technique to rationalize the design of energy systems for remote locations. Liu et al [29] established multi-objective economic dispatch models of a microgrid with EVs charging under the autonomous charging mode. Kim et al [30] also proposed a methodology to determine the optimal capacity of renewable distributed generation using a multi-objective optimization model.…”

Section: Literature Reviewmentioning

confidence: 99%

Feasibility Study of a Solar-Powered Electric Vehicle Charging Station Model

Jiang

Liu

et al. 2015

Energies

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In China, the power sector is currently the largest carbon emitter and the transportation sector is the fastest-growing carbon emitter. This paper proposes a model of solar-powered charging stations for electric vehicles to mitigate problems encountered in China's renewable energy utilization processes and to cope with the increasing power demand by electric vehicles for the near future. This study applies the proposed model to Shenzhen City to verify its technical and economic feasibility. Modeling results showed that the total net present value of a photovoltaic power charging station that meets the daily electricity demand of 4500 kWh is $3,579,236 and that the cost of energy of the combined energy system is $0.098/kWh. In addition, the photovoltaic powered electric vehicle model has pollutant reduction potentials of 99.8%, 99.7% and 100% for carbon dioxide, sulfur dioxide, and nitrogen oxides, respectively, compared with a traditional gasoline-fueled car. Sensitivity analysis results indicated that interest rate has a relatively strong influence on COE (Cost of Energy). An increase in the interest rate from 0% to 6% increases COE from $0.027/kWh to $0.097/kWh. This analysis also suggests that carbon pricing promotes renewable energy only when the price of carbon is above $20/t.

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Multi-Objective Dynamic Economic Dispatch of Microgrid Systems Including Vehicle-to-Grid

Cited by 61 publications

References 24 publications

Impact of Plug-in Electric Vehicles Integrated into Power Distribution System Based on Voltage-Dependent Power Flow Analysis

Impact of Plug-in Electric Vehicles Integrated into Power Distribution System Based on Voltage-Dependent Power Flow Analysis

The Synergies of Shared Autonomous Electric Vehicles with Renewable Energy in a Virtual Power Plant and Microgrid

Feasibility Study of a Solar-Powered Electric Vehicle Charging Station Model

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