Coordinated Charging of Plug-In Hybrid Electric Vehicles to Minimize Distribution System Losses

Sortomme, E.; Hindi, M. M.; MacPherson, Stuart; Venkata, S.S.

doi:10.1109/tsg.2010.2090913

Cited by 992 publications

(485 citation statements)

References 16 publications

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“…However, the off-peak charging scheduling can be better exploited to achieve a valley-filling behavior, i.e., a grid load profile with lower variance value [20]. This is important for DSOs, because minimizing variance is equivalent to maximizing the load factor and hence, minimizing the losses in the distribution network [27]. It was shown in [28] that the minimum variance can be achieved at best by scheduling PEVs starting from the time slots where the base load profile is at its lowest value.…”

Section: Off-peak Charging Schedulingmentioning

confidence: 99%

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

Erdoğan

Erden

Kisacikoglu

2018

J. Mod. Power Syst. Clean Energy

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This study focuses on the potential role of plugin electric vehicles (PEVs) as a distributed energy storage unit to provide peak demand minimization in power distribution systems. Vehicle-to-grid (V2G) power and currently available information transfer technology enables utility companies to use this stored energy. The V2G process is first formulated as an optimal control problem. Then, a two-stage V2G discharging control scheme is proposed. In the first stage, a desired level for peak shaving and duration for V2G service are determined off-line based on forecasted loading profile and PEV mobility model. In the second stage, the discharging rates of PEVs are dynamically adjusted in real time by considering the actual grid load and the characteristics of PEVs connected to the grid. The optimal and proposed V2G algorithms are tested using a real residential distribution transformer and PEV mobility data collected from field with different battery and charger ratings for heuristic user case scenarios. The peak shaving performance is assessed in terms of peak shaving index and peak load reduction. Proposed solution is shown to be competitive with the optimal solution while avoiding high computational loads. The impact of the V2G management strategy on the system loading at night is also analyzed by implementing an off-line charging scheduling algorithm.

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Section: Off-peak Charging Schedulingmentioning

confidence: 99%

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

Erdoğan

Erden

Kisacikoglu

2018

J. Mod. Power Syst. Clean Energy

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“…P I0,n,α,t and P Z0,n,α,t are the active power of constant current and power conventional household load when the voltage on node n phase α at time t is U 0,n,α,t , respectively. The current can be obtained from Equation (19), the formula for which is shown as:…”

Section: Extended Iterative Methodsmentioning

confidence: 99%

Smart Charging of EVs in Residential Distribution Systems Using the Extended Iterative Method

et al. 2016

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Smart charging of electrical vehicles (EVs) is critical to provide the secure and cost-effective operation for distribution systems. Three model objective functions which are minimization of total supplied power, energy costs and maximization of profits are formulated. The conventional household load is modeled as a ZIP load that consists of constant power, constant current and constant impedance components. The imbalance of distribution system, constraints on nodal voltages and thermal loadings of lines and transformers are all taken into account. Utilizing the radial operation structure of distribution system, an extended iterative method is proposed to greatly reduce the dimensions of optimization variables and thus improve calculation speed. Impacts of the conventional household load model on the simulation results are also investigated. Case studies on three distribution systems with 2, 14, and 141 buses are performed and analyzed. It is found that the linear constrained convex quadratic programming model is applicable at each iteration, when the conventional household load is composed of constant power and constant impedance load. However, it is not applicable when the conventional household load consists of constant current load. The accuracy and computational efficiency of the proposed method are also validated.

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“…These papers usually aim at either improving network performance [9] or reducing charging costs to EV owners while also making use of low carbon electricity [10]. Another recurrent topic in the literature is EV capability in demand response strategies via third party aggregators due to the load flexibility benefits battery storage in EVs bring to power systems [11].…”

Section: Modelling Electric Vehicle Charging and Mobilitymentioning

confidence: 99%

Modelling spatial and temporal agent travel patterns for optimal charging of electric vehicles in low carbon networks

Acha

Dam

Shah

2012

2012 IEEE Power and Energy Society General Meeting

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Abstract--The ability to determine optimal charging profiles of electric vehicles (EVs) is paramount in developing an efficient and reliable smart-grid. However, so far the level of analysis proposed to address this issue lacks combined spatial and temporal elements, thus making mobility a key challenge to address for a proper representation of this problem. This paper details the principles applied to represent optimal charging of EVs by employing an agent-based model that simulates the travelling patterns of vehicles on a road network. The output data is used as a reliable forecast so an optimal power flow model can devise optimal charging scenarios of EVs in a local electrical network. The effectiveness of the model is illustrated by presenting a multi-day case study in an urban area. Results show a high level of detail and variability in EV charging when a present-day carbon fuel mix is compared to one with lower carbon intensity.Index Terms-Agent based transport modelling, coordination of distributed energy resources, distribution network operation, electric vehicle charging, local smart-grids, optimal power flow.

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Coordinated Charging of Plug-In Hybrid Electric Vehicles to Minimize Distribution System Losses

Cited by 992 publications

References 16 publications

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

Smart Charging of EVs in Residential Distribution Systems Using the Extended Iterative Method

Modelling spatial and temporal agent travel patterns for optimal charging of electric vehicles in low carbon networks

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