Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Optimal operation strategy for distributed battery aggregator providing energy and ancillary services
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1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China 2. Guangdong Electric Power Research Institute, Guangzhou 510620, China

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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.

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  • Received:
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  • Online: July 20,2018
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