DOI:10.1007/s40565-017-0325-9 |
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Optimal operation strategy for distributed battery aggregatorproviding energy and ancillary services |
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Net amount: 783 |
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Author:
Kangning LIU1
, Qixin CHEN1
, Chongqing KANG1
, Wei SU2
,
Guobin ZHONG2
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Author Affiliation:
1. Department of Electrical Engineering, Tsinghua University,
Beijing 100084, China
2. Guangdong Electric Power Research Institute,
Guangzhou 510620, China
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Foundation: |
This work was supported by Major International
(Regional) Joint Research Project of National Natural Science
Foundation of China (No. 51620105007), and Scientific Research
Project of Guangdong Electric Power Research Institute. |
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Abstract: |
The high penetration of distributed renewable
energy raises a higher concern for the safe and economic
operation of the smart grid. Distributed batteries equipped
in demand-side can not only contribute to the reliability
and security of the grid, but also make profits by participating
in the electricity market, especially when distributed
batteries are combined and operated by an aggregator.
Considering the well-operated mechanism of performance
based regulation (PBR) in the U.S. electricity market, it
becomes increasingly lucrative for batteries to participate
not only in energy markets for energy arbitrage, but also in
ancillary service markets to provide regulation and peakload
shaving services. In this study, distributed batteries are
operated and coordinated by the aggregator, which simultaneously
submits offers to the energy and the ancillary
service markets as an individual entity. An optimal
decision model is formulated for the aggregator to determine
the operation and bidding strategy for the distributed
batteries by considering the characteristics of batteries,
including the terms of capacity, efficiency and degradation
cost. Finally, a numerical case is conducted to evaluate the
benefits of the decision model. |
Keywords: |
Distributed storage, Electricity market,
Optimal operation, Ancillary service |
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Online Time:2018/07/20 |
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