Simulation of demand management and grid balancing with electric vehicles

Druitt, James; Früh, Wolf‐Gerrit

doi:10.1016/j.jpowsour.2012.05.033

Cited by 97 publications

(38 citation statements)

References 14 publications

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“…The modelling methodology builds upon probabilistic and stochastic methods previously carried out [23][24][25] along with agent-based modelling [26,27], system dynamics approaches [28,29], linear and non-linear programming [30] and stochastic modelling [31,32]. Of note in the present work is its simulated and empirical data-driven approach, which utilises vehicle usage data, building demand, renewable energy generation and ancillary market data to simulate the economic potential of EVs with V2G.…”

Section: Methodsmentioning

confidence: 99%

Vehicle-to-grid feasibility: A techno-economic analysis of EV-based energy storage

et al. 2017

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Citation: GOUGH, R. ...et al., 2017. Vehicle-to-grid feasibility: A technoeconomic analysis of EV-based energy storage. Applied Energy, 192, Additional Information:• This paper was accepted for publication in the journal Ap- 1 Vehicle-to-Grid Feasibility: A Techno-economic Analysis of EV-based Energy StorageRebecca Gough*⁺ Abstract:The potential for electric vehicles to obtain income from energy supplied to a commercial building together with revenue accruing from specific ancillary service markets in the UK is evaluated in this work. A hybrid time-series/probabilistic simulation environment using real-world data is described, which is applied in the analysis of electricity trading with vehicle-to-grid to vehicles, buildings and markets. Key parameters are found to be the electric vehicle electricity sale price, battery degradation cost and infrastructure costs. Three vehicle-to-grid scenarios are evaluated using pool vehicle trip data, market pricing index data and half-hourly electricity demand for a commercial building. Results show that provision of energy to the wholesale electricity market with additional income from the capacity market results in the greatest projected return on investment, producing an individual vehicle net present value of ~£8,400. This is over 10 years for a vehicle supplying energy three times per week to the half-hour day-ahead market and includes the cost of installing the vehicle-to-grid infrastructure. The analysis also shows that net income generation is strongly dependent upon battery degradation costs associated with vehicle-to-grid cycling.

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Section: Methodsmentioning

confidence: 99%

Vehicle-to-grid feasibility: A techno-economic analysis of EV-based energy storage

et al. 2017

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“…The most recent literature in the field of the present paper includes the work presented in [14,15]. In [14] is proposed a methodology to schedule the charge and the discharge process of the EVs and PHEVs.…”

Section: Introductionmentioning

confidence: 99%

“…In [14] is proposed a methodology to schedule the charge and the discharge process of the EVs and PHEVs. Generation, consumption, EVs trips, and market prices uncertainties are considered.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the electric vehicle impact in the power demand curve in a smart grid environment

Morais

Sousa

Vale

et al. 2014

Energy Conversion and Management

128

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a b s t r a c tSmart grids with an intensive penetration of distributed energy resources will play an important role in future power system scenarios. The intermittent nature of renewable energy sources brings new challenges, requiring an efficient management of those sources. Additional storage resources can be beneficially used to address this problem; the massive use of electric vehicles, particularly of vehicle-to-grid (usually referred as gridable vehicles or V2G), becomes a very relevant issue. This paper addresses the impact of Electric Vehicles (EVs) in system operation costs and in power demand curve for a distribution network with large penetration of Distributed Generation (DG) units. An efficient management methodology for EVs charging and discharging is proposed, considering a multi-objective optimization problem. The main goals of the proposed methodology are: to minimize the system operation costs and to minimize the difference between the minimum and maximum system demand (leveling the power demand curve). The proposed methodology perform the day-ahead scheduling of distributed energy resources in a distribution network with high penetration of DG and a large number of electric vehicles. It is used a 32-bus distribution network in the case study section considering different scenarios of EVs penetration to analyze their impact in the network and in the other energy resources management.

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“…Various techniques are proposed including installation of centralized/decentralized energy storage systems (ESSs), battery management systems (BMSs) [3], vehicle-to-grid (V2G) technology with charging/discharging management system [4], demand-side management (DSM) techniques [5]. Among these candidate solutions, dedicated equipment, such as central control unit, extensive measurement/monitoring and communication infrastructure are required to achieve proposed functions.…”

Section: Introductionmentioning

confidence: 99%

Low-voltage distribution network reconfiguration considering high penetration of electric vehicles #x2014; A UK case study

Qiao

Yang

2016

2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)

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Abstract-Network reconfiguration is one of the electricity network optimization techniques for losses reduction and load balancing by changing the open-closed status of sectionalized switches. In this paper, an application of network reconfiguration in low-voltage (LV) domestic distribution network with high penetration of electric vehicles (EVs) is presented. Firstly, high resolution time-series domestic load profiles are generated and validated with measured data at substation. Electric vehicle charging profiles at both fast and slow charging modes are modelled and produced. Then the impact of increasing penetration of EVs on the network thermal and voltage constraints is quantified. To optimize the network topology, suitable locations of newly-installed switches and their operational time are identified by branch-exchange method and exhaustive search algorithm (ESA) due to the small size of network and less potential location. The proposed approach is applied to two practical 400V LV distribution networks interconnected by underground linkboxes which are used to provide back-feeds during routine maintenances or emergency conditions. By adding new sectionalized switches, the LV network will obtain more operational flexibility and could better explore its potential for further study under Smart Grid scenarios.

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Simulation of demand management and grid balancing with electric vehicles

Cited by 97 publications

References 14 publications

Vehicle-to-grid feasibility: A techno-economic analysis of EV-based energy storage

Vehicle-to-grid feasibility: A techno-economic analysis of EV-based energy storage

Evaluation of the electric vehicle impact in the power demand curve in a smart grid environment

Low-voltage distribution network reconfiguration considering high penetration of electric vehicles #x2014; A UK case study

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