Sharif Digital Repository

The dynamic state estimation (DSE) applied to power systems with synchrophasor measurements would estimate the system's true state based on measurements and predictions. In this application, as phasor measurement units (PMUs) are not deployed at all power system buses, state predictions would enhance the redundancy of DSE input data. The significance of predicted and measured data in DSE is affected by their confidence levels, which are inversely proportional to the corresponding variances. In practice, power system states may undergo drastic changes during hourly load fluctuations, component outages, or network switchings. In such conditions, the inclusion of predicted values could degrade... 

In this paper a strategic planning framework is proposed for generation expansion planning of grid-connected micro-power systems. The proposed framework is composed of two different decision making techniques that results a robust planning approach compared to previous techniques to identify the feasible and efficient plans according to attributes and uncertain parameters considered in planning environment. The framework considers the robustness and risk exposure of different configurations according to uncertain parameters in the planning environment to select the plans which meet the objectives more efficiently with least risk exposure. The proposed methodology is implemented for... 

In this paper, Analytic Hierarchy Process and Data Envelopment Analysis are introduced as multi attribute decision making techniques in planning of standalone micro-power systems. The objective of the planning framework is to select the best configuration and capacity of different generating technologies in micro-power systems to minimize certain economical and environmental attributes. The economical attributes are capital cost and net present cost and the environmental attribute is emission. The proposed framework is illustrated by a case study on a real network in northern region of Iran