Stochastic two-stage reliability-based Security Constrained Unit Commitment in smart grid environment

Abstract

In the realm of the smart grid, there are new issues that are needed to be addressed. However, these new concerns may have an adverse effect on the complexity of the operation of the network, they present great opportunities to the network operators for a better service, in terms of lower costs and enhanced security. In this paper, the integration of the coordinated aggregated Plug-in Electric Vehicle (PEV) fleets and Demand Response Programs (DRPs) into power systems is studied using the stochastic reliability-based Security Constrained Unit Commitment (SCUC). The proposed SCUC program minimizes network operation costs while determining the best strategy for deployment of PEVs and DRPs. Moreover, the proposed approach analyze the effect of these resources on the adequacy of the power system by considering reliability metrics Being a mobile power storing device enables the PEVs to provide their energy to the network when called upon. Moreover, DRPs can mitigate power consumption during the peak load or in case of a contingency. Optimal integration of these resources could reduce the network operating costs and improve security. A two-stage stochastic mixed-integer programming model is employed for power system modeling in a smart grid environment. In the proposed model, PEV fleets are modeled as virtual power plants that can provide electric power while DRPs are assumed to only affect the power consumption of the customers. The proposed paradigm is applied to the IEEE 6-bus and IEEE Reliability Test System (RTS) to illustrate its effectiveness. Numerical analyses confirm the effectiveness of the proposed strategy in lessening the cost of network operations, better performance in case of contingencies and a higher level of reliability.