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.

在智能电网领域中，需要解决一些新问题。但是，这些新的问题可能会对网络操作的复杂性产生不利影响，它们以较低的成本和增强的安全性为网络运营商提供了更好的服务的巨大机会。在本文中，使用基于随机可靠性的基于安全约束单元承诺（SCUC），研究了协调的聚合式插电式电动汽车（PEV）车队和需求响应程序（DRP）到电力系统的集成。拟议的SCUC计划将网络运营成本降至最低，同时确定部署PEV和DRP的最佳策略。此外，提出的方法通过考虑可靠性指标来分析这些资源对电力系统充足性的影响

作为移动电源存储设备，PEV可以在被调用时将其能量提供给网络。而且，DRP可以减轻峰值负载期间或意外情况下的功耗。这些资源的最佳集成可以降低网络运营成本并提高安全性。智能电网环境中的电力系统建模采用两阶段随机混合整数规划模型。在提出的模型中，PEV车队被建模为虚拟电厂，可以提供电力，而DRP仅会影响客户的电力消耗。提出的范例已应用于IEEE 6总线和IEEE可靠性测试系统（RTS），以说明其有效性。数值分析证实了该策略在降低网络运营成本方面的有效性，