Abstract
Advanced grid technology represented by smart grid and energy internet is the core feature of the next-generation power grid. The next-generation power grid will be a large-scale cyber-physical system (CPS), which will have a higher level of risk management due to its flexibility in sensing and control. This paper explains the methods and results of a study on grid CPS’s behavior after risk. Firstly, a behavior model based on hybrid automata is built to simulate grid CPS’s risk decisions. Then, a GCPS risk transfer model based on cooperative game theory is built. The model allows decisions to ignore complex network structures. On this basis, a modified applicant-proposing algorithm to achieve risk optimum is proposed. The risk management model proposed in this paper can provide references for power generation and transmission decision after risk as well as risk aversion, an empirical study in north China verifies its validity.
Acknowledgements
This work was supported by the science and technology project of State Grid Corporation of China “Research and Application of Improving the Accommodation Capacity and Guarantee Technologies of Power Grid in PV Poverty Alleviation Areas” (52182017000W) and the Natural Science Foundation of China (71671065). The authors are grateful to the participators who help to improve the paper by many pertinent comments and suggestions.
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