A Real-Time Charging Scheme for Demand Response in Electric Vehicle Parking Station

Yao, Leehter; Lim, Wei Hong; Tsai, Teng Shih

doi:10.1109/tsg.2016.2582749

Cited by 246 publications

(113 citation statements)

References 39 publications

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“…Two LP models were formulated in [14] to optimize EV charging in a parking station with different points of view, i.e., to maximize either the operator's revenue or the number of completely charged EVs. Two contradictory objectives-minimizing the charging cost of an EV parking station and maximizing EV users' satisfaction-were simultaneously achieved in [15] via LP and a modified convex relaxation scheme. Other optimization techniques such as quadratic programming (QP) [16,17], dynamic programming (DP) [18], swarm intelligence [19][20][21], and game theory [22] were also used for EV charging scheduling.…”

Section: Review Of Existing Literaturementioning

confidence: 99%

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Optimal Charging and Discharging Scheduling for Electric Vehicles in a Parking Station with Photovoltaic System and Energy Storage System

2017

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Abstract:The economic and environmental benefits brought by electric vehicles (EVs) cannot be fully delivered unless these vehicles are fully or partially charged by renewable energy sources (RES) such as photovoltaic system (PVS). Nevertheless, the EV charging management problem of a parking station integrated with RES is challenging due to the uncertain nature of local RES generation. This paper aims to address these difficulties by deploying an energy storage system (ESS) in parking stations and exploiting the charging and discharging scheduling of EVs to achieve better utilization of intermittent PVS for EV charging. A real-time charging optimization scheme is also formulated, using mixed-integer linear programming (MILP) to coordinate the charging or discharging power of EVs along with the power dispatches of power grid and ESS based on the vehicles' charging or discharging priorities and electricity price preferences. Extensive simulations show that the proposed approach not only maximizes the satisfaction of EV owners in terms of fulfilling all charging and discharging requests, but also minimizes the overall operational cost of the parking station by prioritizing the utilization of energy from PVS, ESS, and scheduling of every EV's charging and discharging.

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Section: Review Of Existing Literaturementioning

confidence: 99%

“…The works in [7,11,12,[14][15][16][17][18][19][20][21][22] rely on the electricity generated from conventional units for EV charging. The proposed work considers PVS as a power source for EV charging, hence is designed to fully deliver the economic and environmental advantages of EVs.…”

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confidence: 99%

Optimal Charging and Discharging Scheduling for Electric Vehicles in a Parking Station with Photovoltaic System and Energy Storage System

2017

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“…EVs are considered to be high power loads [122] and they affect the power distribution system directly, the distribution transformers, cables and fuses are affected by it the most [123]. A Nissan Leaf with a 24kWh battery pack can consume power similar to a single European household.…”

Section: Negative Impactsmentioning

confidence: 99%

A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development

Un-Noor¹,

Padmanaban²,

Mihet‐Popa³

et al. 2017

Preprint

146

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Electric vehicles (EV) are getting more commonplace in the transportation sector in recent times. As the present trend suggests, this mode of transport is likely to replace the internal combustion engine (ICE) vehicles in near future. Each of the main EV components has a number of technologies that are currently in use or can become prominent in the future. EVs can cause significant impacts on the environment, power system, and other related sectors. The present power system can face huge instabilities with enough EV penetration; but with proper management and coordination, EVs can be turned into a major contributor to the successful implementation of smart grid. There are possibilities of immense environmental benefits as well, as the EVs can extensively reduce the greenhouse gas emission from the transportation sector. However, there are some major obstacles for EVs to overcome before replacing the ICE vehicles totally. This paper is focused on reviewing all the useful data available on EV configurations, energy sources, motors, charging techniques, optimization techniques, impacts, trends, and possible directions of future developments. Its objective is to provide an overall picture of the current EV technology and ways of future development to assist in future researches in this sector.

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“…Secondly, smaller communication overhead is required to contact a small subset of EVs, and hence it is more practical to turn charging on or off rather than adjusting the charging rate when a large amount of EV charging is scheduled. Finally, it is expected that using an on-off strategy can fully charge the EVs in a shorter timeframe [24].…”

Section: Ev Modelmentioning

confidence: 99%

“…The initial room temperature obeys a discrete uniform distribution T in~U (19,24). Suppose that the ACs are distributed in a close geographic area so the thermostat set point and its dead band are the same for all the ACs.…”

Section: Aggregated Modelmentioning

confidence: 99%

A Time-Varying Potential-Based Demand Response Method for Mitigating the Impacts of Wind Power Forecasting Errors

2017

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Abstract:The uncertainty of wind power results in wind power forecasting errors (WPFE) which lead to difficulties in formulating dispatching strategies to maintain the power balance. Demand response (DR) is a promising tool to balance power by alleviating the impact of WPFE. This paper offers a control method of combining DR and automatic generation control (AGC) units to smooth the system's imbalance, considering the real-time DR potential (DRP) and security constraints. A schematic diagram is proposed from the perspective of a dispatching center that manages smart appliances including air conditioner (AC), water heater (WH), electric vehicle (EV) loads, and AGC units to maximize the wind accommodation. The presented model schedules the AC, WH, and EV loads without compromising the consumers' comfort preferences. Meanwhile, the ramp constraint of generators and power flow transmission constraint are considered to guarantee the safety and stability of the power system. To demonstrate the performance of the proposed approach, simulations are performed in an IEEE 24-node system. The results indicate that considerable benefits can be realized by coordinating the DR and AGC units to mitigate the WPFE impacts.

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A Real-Time Charging Scheme for Demand Response in Electric Vehicle Parking Station

Abstract: Matrix containing the binary charging decisions of all charging poles for the remaining time steps. j ω Vector containing the binary charging decisions of all charging poles at the current time step. top s Vector containing the non-zero elements.

Cited by 246 publications

References 39 publications

Optimal Charging and Discharging Scheduling for Electric Vehicles in a Parking Station with Photovoltaic System and Energy Storage System

Optimal Charging and Discharging Scheduling for Electric Vehicles in a Parking Station with Photovoltaic System and Energy Storage System

A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development

A Time-Varying Potential-Based Demand Response Method for Mitigating the Impacts of Wind Power Forecasting Errors

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