Ph.D. work

Broad Area : State estimation of Smart Grid with integrated renewables

Background

Currently, there is a high demand for energy supply for all customers. The distribution grid is getting more complex and dynamic as a result of the massive integration of variable and unpredictable renewable energy sources (RES). A state estimate is one of the most important methods for obtaining the data needed for grid analysis and system snapshots. It is the process of assigning a value to a variable that represents the state of an unidentified system based on observations that have already been collected from the system. Data must be acquired from dispersed sensors put throughout the power system by numerous smaller, frequently rival organizations in order to complete the wide area state estimation of the power grid. Different utilities estimate their system states using various methodologies. The majority of current state estimation techniques for power systems are applicable to centralized power systems.

Therefore, a sophisticated and precise monitoring system—the Phasor Measuring Unit (PMU), also known as synchro phasor technology—must continuously monitor changes in topology. In order to ensure proper and effective behavior for both the transmission and distribution grids, it delivers precise real-time system statuses through enhanced monitoring and controlling action.

Research Objectives

Determination of accurate operating states of the power system is one of the most challenging tasks due to integration of large number of solar PVs into the power system. Since these sources of energy are inertia less generations, hence may cause instability issues if highly penetrated. Hence, precise monitoring and control of such systems with higher PV penetration is a critical issue.

 State estimation has number of power system applications such as load forecasting, power flow analysis, security assessment etc. Therefore, modern power system should be equipped with state estimation solver capable of providing accurate current operating state based on available redundant measurements and assumed system model.

In the context of above discussion, major motivation of research work will comprise of:

• Literature Review of the research work

• Comparative analysis of State Estimation using traditional and PMU measurements

• Analysis of three-phase faults with PMU

• Impact assessment of excessive PV penetration

• PMU-based Distribution Network Voltage Estimation with Integrated Renewables

• Estimating parameters using PMUs at different levels of Distributed Generation penetration in Active Distribution Networks.

• Enhanced State Estimation Approaches Integrating PMU Technology and Photovoltaic Generation Models for Smart Distribution Networks.