Partial Decomposition for Distributed Electric Vehicle Charging Control Considering Electric Power Grid Congestion
| Autor: | Chengcheng Shao, Mohammad Shahidehpour, Biyang Wang, Xiuli Wang, Xifan Wang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Iterative and incremental development
Engineering business.product_category General Computer Science business.industry 020209 energy 02 engineering and technology Grid Electric power system symbols.namesake Electric power transmission Transmission (telecommunications) Control theory Lagrangian relaxation Distributed data store Electric vehicle 0202 electrical engineering electronic engineering information engineering Electronic engineering symbols business |
| Zdroj: | IEEE Transactions on Smart Grid. 8:75-83 |
| ISSN: | 1949-3061 1949-3053 |
| DOI: | 10.1109/tsg.2016.2595494 |
| Popis: | The electric vehicles (EVs) can introduce new operation strategies, such as charging management and vehicle-to-grid control, which could provide a considerable level of distributed storage to the power grid. In this paper, a partial decomposition method which is based on the Lagrangian relaxation framework is proposed for the EV charging control in transmission-constrained power systems. The partial decomposition method helps reduce the number of dual multipliers and stabilize the iterative process. The proposed partial decomposition framework is applied to a day-ahead SCUC algorithm which can be easily implemented in the existing hierarchical power system operations. The proposed EV charging control method can not only help reduce the total generation cost of power systems but also alleviate the transmission grid congestion. The feasibility of the proposed method is validated by the case studies applied to the modified IEEE-RTS1979. |
| Databáze: | OpenAIRE |
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