Modeling the optimal behavior of PEV parking lots in energy and reserve market

Neyestani, Nilufar; Damavandi, Maziar Yazdani; Shafie‐khah, Miadreza; Contreras, Javier

doi:10.1109/isgteurope.2014.7028906

Cited by 8 publications

(6 citation statements)

References 15 publications

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“…Although the methodology took into consideration the uncertainties of EVs and market prices, renewable energy uncertainties were not considered. A stochastic model for capturing the behavior of EVs was considered in [85]. To simplify the model, the whole EV fleet was considered to be the same.…”

Section: Day-ahead Scheduling With Uncertaintiesmentioning

confidence: 99%

Charge Control and Operation of Electric Vehicles in Power Grids: A Review

2018

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Electric Vehicles (EVs) and hybrid Electric vehicles (HEVs) are going to reshape the future of the transportation sector. However, adopting large numbers of EVs and HEVs will impact the electric utilities as well. Managing the charging/discharging of substantial numbers of distributed batteries will be critical for the successful adoption of EVs and HEVs. Therefore, this paper presents a review study about the recent control and optimization strategies for managing the charging/discharging of EVs. The paper covers different control and operation strategies reported in the literature as well as issues related to the real time dispatching of EVs in the smart grids. In addition, challenges related to the stochastic nature of the driving characteristics of EVs are considered. Finally, some open problems related to the energy management of EVs will be presented.

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Section: Day-ahead Scheduling With Uncertaintiesmentioning

confidence: 99%

Charge Control and Operation of Electric Vehicles in Power Grids: A Review

2018

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“…The main idea of this paper is originated from [12] and [13] where the DSO and PL interact with each other and serve in the same area. In this situation the operation of PL and DSO may face some decision making conflicts which need to be addressed.…”

Section: Nomenclaturementioning

confidence: 99%

“…In this model, the energy and reserve interactions between the DSO and the PL are optimized in a way to maximize both DSO and PL profits. In [13], it is assumed that the PL is operated by the DSO. Hence, although the PL behavior has an impact on the DSO's decision making, there exists only one decision maker and the problem is divided into two parts.…”

Section: Nomenclaturementioning

confidence: 99%

PEV parking lot behavior equilibria in energy and reserve markets

Neyestani

Damavandi

Shafie‐khah

et al. 2015

2015 IEEE Power &Amp; Energy Society General Meeting

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The increasing penetration of plug-in electric vehicles (PEVs) has encouraged solutions for facilitating their utilization. In this regard, PEV parking lots (PLs) have proved to be essential for future systems with high amounts of PEVs. However, operating a PL in order to maximize its profit while enforcing its own constraints generates conflicts between the PL and the distribution system operator (DSO). As a result, this paper proposes a model to solve the PL equilibria behavior. A bi-level problem including the operation of DSO and PL is solved using mathematical programming with equilibrium constraints (MPEC). The PL's behavior is defined by its hourly energy and reserve interaction with the market through the DSO. As the total amount of PL's interaction with the grid will affect the DSO's operational decision making, the proposed model finds the equilibrium point to maximize the benefit for PL and DSO.

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“…Te deployment of such systems has the potential to maximize the use of EVs while simultaneously regulating charging power, thereby reducing the impact of solar photovoltaic (PV) power fuctuations on voltage during daytime hours, as reported in [15]. To optimize EV storage usage across diferent time intervals, the water flling algorithm (WFA) has been proposed as an efective means to allocate energy optimally, as described in [16]. Te authors in [16] have introduced a double-layer strategy to efciently schedule EVs in coordination with renewable energy sources (RES).…”

Section: Introductionmentioning

confidence: 99%

A Novel on Energy Management Strategy with Maximum Exploitation of Renewables and EV Storage in Distribution Networks

Reddy¹,

Basha²,

Venkatareddy³

et al. 2023

International Transactions on Electrical Energy Systems

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Electric vehicles (EVs) are widely recognized for their environmentally friendly attributes and superior performance. They offer considerable potential for managing energy in low-voltage distribution networks through the use of vehicle-to-grid (V2G) and grid-to-vehicle (G2V) technologies. This article provides a detailed investigation into the management of energy in distribution networks using a combination of EVs, solar photovoltaic (PV), and diesel generators (DG). The water filling algorithm (WFA) is utilized to distribute the storage of EVs in each energy zone in an optimal manner, thereby achieving load flattening, minimizing energy costs, and reducing grid reliance. A multiobjective genetic algorithm (MOGA) is employed to solve a formulated multiobjective optimization problem for load flattening and voltage regulation, with optimal power transaction (OPT) serving as the decision variable. An adaptive neuro-fuzzy inference system (ANFIS) based EV ranking technique is employed to prioritize EVs based on their ability to provide the required services and determine optimal energy distribution (OED) for different scenarios. This study investigates the impact of OED in several scenarios and examines the influence of ANFIS prioritization on overall EV power availability and cost of charging (CoC). The findings of this study are crucial for developing effective energy management strategies that minimize energy costs and reduce grid reliance.

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Modeling the optimal behavior of PEV parking lots in energy and reserve market

Cited by 8 publications

References 15 publications

Charge Control and Operation of Electric Vehicles in Power Grids: A Review

Charge Control and Operation of Electric Vehicles in Power Grids: A Review

PEV parking lot behavior equilibria in energy and reserve markets

A Novel on Energy Management Strategy with Maximum Exploitation of Renewables and EV Storage in Distribution Networks

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