System Design of Risk Assessment in Power Market

With the modernization of the society and the advancement of power market, it is increasingly important for power trading operators to correctly and accurately identify the risks in the power market. This paper presents a systematic approach to study the degree of risk in the electricity market. The system is divided into three parts, namely power market risk identification based on K-fold cross-validation and Stacking fusion, power market risk analysis based on logical reasoning and improved evidence theory, and power market risk level assessment based on Failure Mode, Effects and Criticality Analysis (FMECA). In simulation, the algorithm example validates, compares, and illustrates the effectiveness and accuracy of the system. Conclusion: It is demonstrated that studying from multiple perspectives and avoiding too much expert scoring can improve the accuracy of the power market force risk assessment system.