NDLI: Exploring power-voltage relationship for distributed peak demand flattening in microgrids

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Exploring power-voltage relationship for distributed peak demand flattening in microgrids

Content Provider	ACM Digital Library
Author	Zhan, Xiaoxiong Corrigan, David Luo, Hongyao Gu, Yu Zhu, Ting Huang, Zhichuan
Abstract	Due to limited energy storage units in microgrids, how to regulate peak demand is one of the main challenges. Thus, researchers propose different techniques to flatten peak demand in individual residential buildings. However, if each home in the grid flattens peak demand only with its own power consumption information, it is possible that peak demand of the microgrid would not be flattened but only shifted to another period. Therefore, it is critical for homes to cooperate with each other to flatten peak demand. In this paper, we utilize the power-voltage relationship in individual homes to enable that each home can infer the information of power consumption in the community by locally monitoring the voltage value on the common power line. The inferred information is then used for homes to flatten peak demand of the microgrids in a distributed manner. Furthermore, we leverage existing thermal appliances (e.g., water heaters) as thermal "batteries" in individual homes instead of purchasing batteries to flatten peak demand. We evaluate our system's performance by conducting experiments and extensive empirical data driven simulations. Evaluation results indicate that our design enables homes to effectively flatten peak demand by more than 29% without affecting homeowners' behaviors.
Starting Page	179
Ending Page	188
Page Count	10
File Format	PDF
ISBN	9781450334556
DOI	10.1145/2735960.2735968
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-04-14
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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