Power Side Risk Assessment of Multi-Energy Microgrids Considering Risk Propagation between Interconnected Energy Networks

Yan Ma, Yumin Chen, Zhengwei Chang, Qian Li (), Hongli Liu and Yang Wei
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Yan Ma: School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu 610500, China
Yumin Chen: Power Internet of Things Key Laboratory of Sichuan Province, State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China
Zhengwei Chang: Power Internet of Things Key Laboratory of Sichuan Province, State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China
Qian Li: School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu 610500, China
Hongli Liu: Power Internet of Things Key Laboratory of Sichuan Province, State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China
Yang Wei: Power Internet of Things Key Laboratory of Sichuan Province, State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China

Energies, 2023, vol. 16, issue 22, 1-13

Abstract: Traditional power systems only contain a single energy type, namely, electrical energy, and involve no interaction with other networks with different energy types, such as gas networks and heat networks. With the rapid development of the Energy Internet, the coupling between various energy types has become increasingly tight, making traditional risk assessment methods no longer suitable for multi-energy microgrids. To this end, this paper proposes a microgrid risk assessment method that considers the impact of multiple interconnected networks with different energy types. First, respectively from the equipment and system levels, a risk transfer integrated energy conversion model is built, depicting the output of equipment under risk conditions and describing the process of risk transfer using energy coupling equipment in the microgrid. Thereafter, from the perspective of the energy flow distribution and considering the microgrid grid energy flow characteristics, a microgrid energy flow distribution model is built, based on which a microgrid risk analysis model that simulates the microgrid risk propagation mechanism is established by introducing risk factors that characterize equipment risk statuses. In addition, based on the system structure and the operational characteristics, a microgrid-oriented risk assessment process is designed. Finally, a numerical simulation confirms that considering the impact of multiple different energy networks to the power side in the risk assessment is necessary.

Keywords: multi-energy microgrid; risk assessment; flow distribution; risk indices; risk quantification (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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