Abstract
In this paper, we develop an energy management algorithm for charging and discharging plug-in electric vehicles (PEVs). The algorithm considers both user convenience and electricity market factors. A performance metric, called 'user convenience', is formulated to measure the effective coordination of PEV charging. As a response to the electricity market, we address an economic dispatch problem by considering power flows, grid losses, voltage profile patterns, and vehicle-to-grid costs. Both of the concerned factors can be optimized by simply switching a PEV during charging, discharging, or in off-mode. The mode switch allows easy integrate of PEVs into power systems. The PEV state-decision problem can be efficiently solved by using convex optimization tools. Moreover, the problem can be solved in a decentralized manner, wherein each sub-aggregator can determine to charge, discharge, and turn to off-mode locally. Simulation results indicate that the proposed PEV energy management algorithm can obtain the same final state-of-charge of the batteries as those obtained by unconstraint cases. Meanwhile, the effect of PEV charging on the power system is significantly mitigated.
| Original language | English |
|---|---|
| Title of host publication | 2014 International Power Electronics Conference, IPEC-Hiroshima - ECCE Asia 2014 |
| Publisher | IEEE Computer Society |
| Pages | 677-681 |
| Number of pages | 5 |
| ISBN (Print) | 9781479927050 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 7th International Power Electronics Conference, IPEC-Hiroshima - ECCE Asia 2014 - Hiroshima, Japan Duration: 2014 May 18 → 2014 May 21 |
Publication series
| Name | 2014 International Power Electronics Conference, IPEC-Hiroshima - ECCE Asia 2014 |
|---|
Other
| Other | 7th International Power Electronics Conference, IPEC-Hiroshima - ECCE Asia 2014 |
|---|---|
| Country/Territory | Japan |
| City | Hiroshima |
| Period | 14-05-18 → 14-05-21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
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