Abstract
This paper proposes an incremental-variable-based state enumeration method (IVSE) for power system operation risk assessment and develops the risk indices considering the safety margin. Firstly, the traditional risk indices are modified to take into account the safety margin, which is defined as the virtual distance from the operational limits to the current normal operating point. Those indices can provide more potential risk information to operators for reasonable decision-making. Thereafter, an incremental- variable-based state enumeration is developed by utilizing the relationship between high order contingencies and low order contingencies. The proposed method is more efficient and accurate than traditional methods, which makes it more suitable for online application. Finally, case studies are performed on the IEEE-118 bus system. And results verify the accuracy and efficiency of the proposed method in various situations. In addition, it also can diagnose the weak points of the system, which can assist operators in online decision making.
Highlights
With the development of the social economy, electric power dependence and power grid scale continue to expand
This paper proposes an incremental variable based state enumeration (IVSE) for operation risk assessment and the risk indices considering the safety margin
The new risk indices are developed incorporating the concept of safety margin, which can help operators avoid a conservative decision
Summary
With the development of the social economy, electric power dependence and power grid scale continue to expand. Owing to the fact that the safety of the power system is improved continuously by all kinds of protection devices, the probability of violation risk will be decreased These risk indices did not consider the influence of safety margin, which refers to the virtual distance from the operational limits to the current normal operating point. To solve above-mentioned problems, it is very necessary to design a high-efficient and high-precision power system risk assessment method which considers both probabilistic factors and impact factors, to assist the operator in online making decision. We proposed an incremental impact method [28] This method can improve the calculation efficiency by increasing the weight of the low-order contingency states.
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