Risk-informed security constrained optimal power flow inspired by the foraging habits of social spiders

摘要

Increasing consumer choices and market options in the power market necessitate a more resilient grid operation. Security level indication based on the desired risk index and thus a risk-based security constrained optimal power flow is described and simulated in this paper. It highlights the possibility of giving a choice of security level to a consumer area and also presents the computation of risk index considering the single and simultaneous component outage. It investigates the possibility of handling the credible contingencies by resetting the control without load interruption, thereby maintaining a certain level of security in the system. This level of security is assured, as the security is imposed as a constraint rather than as a second objective. The Social Spider Algorithm is used to obtain the solution to the optimization problem. The IEEE 30 bus system is used to obtain the required simulation results.