Distributed control of electric vehicle charging

Ardakanian, Omid; Rosenberg, Catherine; Keshav, Srinivasan

doi:10.1145/2487166.2487178

Cited by 90 publications

(73 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ii) Two agents may overload a substation if they do not coordinate (e.g. as in [11]). Thus it would be better if they are in the same group (subtree of the coordination architecture).…”

Section: Discussionmentioning

confidence: 99%

“…Also, and even though not strictly achievable unless cost functions are assigned to each group, if some agents in a group receive power through the same branch of the distribution network tree (e.g. they both depend on a subset of substations), the coordination among the agents in the group would reduce the chance to overload those nodes (substations) in the distribution network (with a goal similar to [11]). …”

Section: Hierarchical Distributed Coordinationmentioning

confidence: 99%

See 1 more Smart Citation

A distributed hierarchical architecture for community-based power balancing

Verschae

Kawashima

Kato

et al. 2014

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)

View full text Add to dashboard Cite

Abstract-The coordination and control of the agents in electrical networks is expected to have an important positive impact in future smart-grids. In the present paper we propose a distributed hierarchical coordination framework for power balancing, and the algorithms required to build such coordination architecture. This architecture is built such that a group of agents (a subtree of the hierarchy) can respond and adjust to deviations from a day-ahead plan for that group, without the need to coordinate with its upper levels of the hierarchy at every time step. The agents are arranged in groups by taking into account a measure of the flexibility of each group, thus allowing a partial de-coupling of the groups during the coordination, which reduces the required work of the central coordinator and gives robustness to the system. The assignment of agents to groups is formulated as a welfare maximization problem, a NP-hard problem for which an approximate solution can be obtained efficiently by using the sub-modularity and monotonicity of the involved functions. An electric vehicle charging coordination scenario is presented to exemplify the proposed architecture and methods.

show abstract

“…ii) Two agents may overload a substation if they do not coordinate (e.g. as in [11]). Thus it would be better if they are in the same group (subtree of the coordination architecture).…”

Section: Discussionmentioning

confidence: 99%

Section: Hierarchical Distributed Coordinationmentioning

confidence: 99%

A distributed hierarchical architecture for community-based power balancing

Verschae

Kawashima

Kato

et al. 2014

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)

View full text Add to dashboard Cite

show abstract

“…To focus on the coordination, we only considerer EVs, assume their charging cannot be interrupted, and neglect the power usage 8 Note that this is not the same as the entropy of a joint probability distribution, which is more common and also submodular [29]. 9 In the following we use EV and EMS as interchangeable terms.…”

Section: Example Scenariosmentioning

confidence: 99%

Coordinated energy management for inter-community imbalance minimization

et al. 2016

View full text Add to dashboard Cite

a b s t r a c tWith the increase in demand flexibility and the rapid introduction of uncontrollable renewable power sources, effective schemes for managing the power usage of end-users are required. In this line, we propose an energy management framework for coordinating the power usage of communities of networked agents. More specifically, communities (groups of loads) coordinate to minimize their aggregated power imbalance, while taking into account each community's objectives and constraints, as well as the preferred power usage pattern of each end-user. For having a robust coordination that can work under unexpected events, we propose to assign the agents to communities using a measure of the flexibility of sets of agents. The coordination framework builds on the alternating directions method of multipliers (ADMM), algorithm that is used to implement a distributed coordination using a hierarchical architecture. While the distributed coordination allows to manage the power usage of each end-user, the hierarchical architecture enables the integration, in a single framework, of energy management problems that would be otherwise handled independently. We illustrate and analyze the coordination framework using three simulated scenarios.

show abstract

“…Too many EVs charging their batteries simultaneously could create a new peak load. Several approaches have been proposed to mitigate this [26], [27], [28]. However, instead of seeing EVs as one of the future's key challenges, the Vehicle-to-Grid (V2G) concept sees them as an opportunity: their battery capacity could be leveraged for DSM by discharging power back into the grid when supply is short [29], [30], [31].…”

Section: Related Workmentioning

confidence: 99%

Effective consumption scheduling for demand-side management in the smart grid using non-uniform participation rate

Wijaya

Papaioannou

Liu

et al. 2013

2013 Sustainable Internet and ICT for Sustainability (SustainIT)

View full text Add to dashboard Cite

Abstract-Periods of peak consumer demand in today's electricity sector are expensive to satisfy and can be the source of power failures. One possible solution is the use of demandside management (DSM) applying dynamic pricing mechanisms. However, instead of reducing peak loads, these mechanisms can lead to peak-shifting due to the herding effect of consumers' loadshifting behavior. To overcome this problem, we explore strategies of assigning (non-uniform) participation rates to consumers. We use a generic method to find a near-optimal distribution setting for participation rates. Our method allows DSM designers to tune the system toward consumer convenience. This means less frequent consumption schedule changes, in the price of system performance. In addition, consumers do not need to reveal their detailed consumption schedules (hence, their privacy is preserved). Using experiments, we show the impact of the herding effect and evaluate the effectiveness of the proposed solution. We thereby demonstrate price fairness for consumers. Finally, we apply our solution to a more realistic environment -one where consumers change their consumption behavior every day.

show abstract

Distributed control of electric vehicle charging

Cited by 90 publications

References 19 publications

A distributed hierarchical architecture for community-based power balancing

A distributed hierarchical architecture for community-based power balancing

Coordinated energy management for inter-community imbalance minimization

Effective consumption scheduling for demand-side management in the smart grid using non-uniform participation rate

Contact Info

Product

Resources

About