Abstract

This study proposes a method of coordinating electric vehicle charging to reduce losses in a distribution system, using only knowledge of the phase that each charger is connected to. Reducing network losses cuts costs and can be achieved through demand response mechanisms. However, directly minimising losses requires accurate values of the line impedances, which can be difficult to obtain. Flattening load over time and balancing load across phases have both been proposed as alternate solutions which indirectly reduce losses. Here, the practical differences between load flattening and explicitly minimising losses are quantified using simulations of residential charging in European style, three-phase distribution networks. Then, a new smart charging strategy, which incorporates phase balancing as a secondary objective to load flattening, is proposed. This requires only the knowledge of the phase that each load is on and achieves 30–70% of the potential reduction in losses.

Highlights

  • This paper develops a method of charging electric vehicles (EVs) in distribution networks that reduces resistive losses without requiring a full model of the network

  • The contributions of this paper can be summarised as follows: First, a smart charging method is presented which reduces the losses in a network beyond that which is achieved by flattening load, without requiring the network impedances

  • A detailed analysis of the proposed method, load flattening, and loss minimising on the IEEE European Low Voltage Test Feeder is presented

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Summary

Introduction

This paper develops a method of charging electric vehicles (EVs) in distribution networks that reduces resistive losses without requiring a full model of the network. To the authors’ knowledge, no existing smart charging formulations reduce losses beyond flattening load without requiring the full network model. A smart charging method is proposed, which incorporates phase balancing into the standard load flattening algorithm The performance of this scheme, load flattening, and explicit loss minimising are analysed for a range of networks and loading conditions. This is achieved using a stochastic modelling framework based on real data and convex formulations for the problems. The contributions of this paper can be summarised as follows: First, a smart charging method is presented which reduces the losses in a network beyond that which is achieved by flattening load, without requiring the network impedances.

Modelling framework
Loss minimising algorithm
Linear three-phase power flow
Optimisation problem
Basic load flattening formulation
Phase balancing for loss reduction
Results and discussion
Data sources
IEEE European low voltage test feeder
Sensitivity to EV population
Sensitivity to season
Sensitivity to the network structure
Reward allocation
Conclusion
Description of the feeders utilised in the results section
Full Text
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