Holistic approach for microgrid planning for e-mobility infrastructure under consideration of long-term uncertainty

Tayyab, Muhammad; Hauer, Ines; Helm, Sebastian

doi:10.1016/j.segan.2023.101073

Cited by 2 publications

(1 citation statement)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the characteristics of the spatiotemporal distribution of EVs, EVs can be regarded as particles and cities as a plane. The Monte Carlo method can be used to predict the spatiotemporal distribution of EVs [42]. The Monte Carlo simulation flow diagram is shown in Figure 1.…”

Section: Spatio-temporal Distribution Model Of Ev Charging Loadmentioning

confidence: 99%

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

Jia,

Ma,

et al. 2023

Energies

View full text Add to dashboard Cite

Fossil energy consumption and environmental protection issues have pushed electric vehicles (EVs) to become one of the alternatives to traditional fossil-fuel vehicles. EV refers to a vehicle that uses electric energy as power and is driven by an electric motor. The electric energy of EVs is stored in batteries. When the EV is not traveling, the battery can provide power for other loads. Therefore, with the increase in the number of EVs and the load of the power grid, the EV-to-grid (V2G) mode, which uses EVs to supply power to the power grid, has gradually entered the field of vision of researchers. The physical connection mode, charge and discharge technology, and energy management strategy are the main topics of the current review papers; however, there is a lack of systematic research on V2G modeling, framework, and business models. This paper describes the concepts of the spatio-temporal distribution model and the adjustable capacity of EVs. In addition, common constraints and methods in optimization are introduced. Moreover, this paper introduces the interactive relationship among power grids, load aggregators, and EV users. Furthermore, the business model of V2G is introduced and analyzed from various perspectives. Finally, the future development of V2G is pointed out. This paper’s goal is to provide an overview of the present V2G application scenarios and to identify any challenges that must be overcome.

show abstract

Section: Spatio-temporal Distribution Model Of Ev Charging Loadmentioning

confidence: 99%

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

Jia,

Ma,

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

Probabilistic Energy Management of DGs and Electric Vehicle Parking Lots in a Smart Grid considering Demand Response

Ghadikolaei,

Ghafouri,

Sedighi

2024

International Journal of Energy Research

View full text Add to dashboard Cite

In this paper, a novel model of an energy management system (EMS) for a microgrid (MG) under uncertain conditions is proposed. The MG consists of renewable photovoltaic and wind sources along with electric vehicle parking lots. Hence, the model incorporates the uncertainties of renewable DGs, parking lots, and also load. In this study, the MG operation cost and voltage stability index are considered objective functions. A novel combined algorithm (hMOPSO-HS) is proposed for microgrid energy management. The hMOPSO-HS algorithm is a combination of the mutant multiobjective particle swarm optimization (MOPSO) algorithm and the harmony search (HS) algorithm. The simulations are performed in two parts, with and without considering the uncertainty. The comparative analysis involves evaluating the optimization outcomes achieved by the hMOPSO-HS algorithm in contrast to various other metaheuristic algorithms for multiobjective optimization. The simulation findings validate the superior efficacy of the hMOPSO-HS algorithm compared to other approaches. Also, the simulation results showed that in the conditions of uncertainty, the operating cost is 6.1% higher and the microgrid stability index is 6.8% lower. Also, considering the uncertainty has caused the penalty for energy not supplied (ENS) and demand response program (DRP) costs to increase by 3% and 4%, respectively.

show abstract

Holistic approach for microgrid planning for e-mobility infrastructure under consideration of long-term uncertainty

Cited by 2 publications

References 29 publications

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

Probabilistic Energy Management of DGs and Electric Vehicle Parking Lots in a Smart Grid considering Demand Response

Contact Info

Product

Resources

About