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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Peng Yang Nehorai, A. |
| Copyright Year | 2010 |
| Abstract | In an isolated power grid or a micro-grid with a small carbon footprint, the penetration of renewable energy is usually high. In such power grids, energy storage is important to guarantee an uninterrupted and stable power supply for end users. Different types of energy storage have different characteristics, including their round-trip efficiency, power and energy rating, self-discharge, and investment and maintenance costs. In addition, the load characteristics and availability of different types of renewable energy sources vary in different geographic regions and at different times of year. Therefore joint capacity optimization for multiple types of energy storage and generation is important when designing this type of power systems. In this paper, we formulate a cost minimization problem for storage and generation planning, considering both the initial investment cost and operational/maintenance cost, and propose a distributed optimization framework to overcome the difficulty brought about by the large size of the optimization problem. The results will help in making decisions on energy storage and generation capacity planning in future decentralized power grids with high renewable penetrations. |
| Starting Page | 1566 |
| Ending Page | 1574 |
| Page Count | 9 |
| File Size | 1781459 |
| File Format | |
| ISSN | 19493053 |
| Volume Number | 5 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy storage Generators Optimization Renewable energy sources Planning Investment Maintenance engineering renewable energy sources Capacity planning distributed optimization energy storage micro-grid |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science |
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