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Multiagent–Multilevel Coordination Based Transactive EV Charging Framework
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DOI：10.1109/jsyst.2026.3701625.png)
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Abstract
En 中文
Uncontrolled EV charging can significantly increase network peak demand, deteriorate bus voltage profiles, and increase operational costs in distribution networks. To mitigate these issues, this article proposes a multiagent – multilevel coordination based transactive EV charging framework in an active distribution network considering a three-level hierarchy of agents, i.e., distribution system operator, EV aggregators, and EV users. This article proposes a day-ahead optimal EV charging through coordinated transactive settlement and scheduling operations. In this work, the multiobjective optimization problem is formulated by providing autonomy to agents for considering the conflicting objectives such as charging cost minimization, revenue maximization, energy delivery maximization, and power mismatch minimization. The proposed framework is implemented on a modified IEEE 33 bus distribution network, a 118 bus distribution system, and an LV 907 bus European benchmark distribution network. The results show that the EV charging requirements are temporally distributed while maintaining network and EV users constraints and facilitating the objectives of agents. The proposed framework is compared with the state-of-the-art methods to showcase its techno-economic benefits, execution time, and convergence effectiveness. For the given test network, the charging cost reduction in the range of 24% to 55% is observed as compared to other methods used for comparative analysis, whereas the voltage profile is maintained above 0.9 pu. In addition, the performance of the proposed framework is measured using an economic utility metric.
Keywords:
Bidding
electric vehicle
EV users charging satisfaction
hierarchical transactive energy management
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130
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