Operational Optimization of a Power Grid Considering Power Outage Rumors

The propagation of outage rumors will cause changes in load demand and increase the risk of the power grid operation. Due to the lack of considering the correlation between outage rumor propagation and load demand changes in the existing references, this paper proposes an outage rumor propagation model using the susceptible infected removed (SIR) model. Based on the SIR model, the number of infected individuals and load demand changes after suffering rumors can be obtained. Also, the influence of rumor propagation on the power grid operation is investigated. This paper studies the influence of rumor propagation on load demand by setting high, medium, and low three infection rate and recovery rate scenarios in different individuals. In addition, the optimal results of the power system operation are found based on the reptile search algorithm method in this work. The results can provide important basic information for future operational optimization of the complex power grid.

I. Introduction

Urban power grids are more closely coupled with societal systems under the influence of energy transition. In the social system, rumors are one of the most representative threats that have coexisted with humans. With the increase of extreme events, rumors occur more frequently and spread faster in the social system, prompting the complexity of power grid operation.