Nowadays, Energy Efficiency as a strategic energy policy has been extended to handle the power system either in demand-side or supply-side affecting the proficiency of the grid. On the other hand, the penetration rates of green resources as PhotoVoltaic (PV) system and Vehicle to Grid (V2G) technologies and; Demand Response (DR) resources as virtual resources have been extremely expanded in the smart power system. Accordingly, in this paper, a novel concept of energy efficiency form economic aspect in presence of Green Virtual Resources (GVRs) will be presented while an economic model for Energy Efficiency Programs (EEPs) is nominated. Therefore, an economic efficiency maximization model of energy management in a Micro Grid (MG) is suggested based upon the difference of revenues and financial burden; whereas the optimal sitting and sizing of GVRs are determined. Furthermore, three multifarious techno economic coefficients including Economic Efficiency Index (EEI), Technical Efficiency Index (TEI) and Total Technical Efficiency Index (TTEI) are nominated to evaluate the impact of GVRs in efficiency improvement of the MG. To evaluate the capability of GVRs, the standard 33-bus IEEE distribution system is conducted. Results indicate that by selecting proper location and size of GVRs, significant improvement is obtained.

如今，能源效率作为一种战略能源政策已得到扩展，可以处理影响电网效率的需求侧或供应侧的电力系统。另一方面，作为光伏（PV）系统和车辆到网格（V2G）技术的绿色资源的渗透率；以及 作为虚拟资源的需求响应（DR）资源已经在智能电源系统中得到了极大的扩展。因此，在本文中，将在提名绿色能源计划（EEP）的经济模型的同时，提出在绿色虚拟资源（GVR）存在的情况下从经济方面考虑能源效率的新概念。因此，基于收入和财务负担的差异，提出了微电网（MG）能源管理的经济效率最大化模型。而GVR的最佳坐姿和尺寸则被确定。此外，提名了三个多元化的技术经济系数，包括经济效率指数（EEI），技术效率指数（TEI）和总技术效率指数（TTEI），以评估GVR对MG效率提高的影响。为了评估GVR的能力，进行了标准的33总线IEEE分配系统。结果表明，通过选择合适的GVR位置和大小，可以获得明显的改善。进行了标准的33总线IEEE配电系统。结果表明，通过选择合适的GVR位置和大小，可以获得明显的改善。进行了标准的33总线IEEE分配系统。结果表明，通过选择合适的GVR位置和大小，可以获得明显的改善。