Sayonsom Chanda

Defining and Enabling Resiliency of Electric Distribution Systems With Multiple Microgrids

This paper presents a method for quantifying and enabling the resiliency of a power distribution system using analytical hierarchical process and percolation theory. Using this metric, quantitative analysis can be done to analyze the impact of possible control decisions to pro-actively enable the resilient operation of distribution system with multiple microgrids and other resources. Developed resiliency metric can also be used in short term distribution system planning. The benefits of being able to quantify resiliency can help distribution system planning engineers and operators to justify control actions, compare different reconfiguration algorithms, and develop proactive control actions to avert power system outage due to impending catastrophic weather situations or other adverse events. Validation of the proposed method is done using modified CERTS microgrids and a modified industrial distribution system. Simulation results show topological and composite metric considering power system characteristics to quantify the resiliency of a distribution system with the proposed methodology, and improvements in resiliency using two-stage reconfiguration algorithm and multiple microgrids.

Quantifying resiliency of smart power distribution systems with distributed energy resources

The purpose of smart grid projects worldwide is to revitalize the aging power system infrastructure, and make it more reliable, more resilient and more sustainable. Technological advances has led to diversity of power sources and lesser dependence on fossil fuels; however, it has also increased the complexity of control of the network, which may have a counter-effect on its resiliency and reliability. Also, weather induced power disruptions or targeted attacks on critical power system infrastructure have increased in numbers. Thus there is a need for formal metrics to quantify resiliency of the different distribution system, or different configurations of same network. This paper presents definitions of resiliency of power distribution system, and approach towards resilient design of future power distribution systems with distributed energy resources. These are eventually used to identify parameters for quantification of resiliency. Simulation results for several test cases have been presented to validate the developed resiliency metrics.

A Novel Metric to Quantify and Enable Resilient Distribution System Using Graph Theory and Choquet Integral

Network operators and utilities are challenged with increasing extreme weather conditions, resulting in interrupted power supply to critical loads. Resiliency metrics, which can capture the level of preparedness to resist adverse impact of extreme conditions on a distribution system, can be leveraged in multiple ways to provide better operation of the network and design of the future systems. In this paper, a methodology to quantify resiliency and maintain power supply to critical loads (CLs) during extreme contingencies has been proposed. Resiliency evaluation of power distribution system has been defined as a multi-criteria decision making problem and quantified using graph theoretic approach and Choquet integral. The algorithm proposed in this paper to calculate the resiliency for all feasible network configurations supplying CLs in a network is useful in planning as well as operation of the distribution network. The application of the proposed algorithm is demonstrated through several case studies using two proximal CERTS microgrids and IEEE 123 node distribution system. Simulation studies are also provided for planning of resilient network, by placing additional switches in the considered distribution systems with microgrid.

Real Time Modeling and Simulation of Campus Microgrid for Voltage Analysis

Microgrids enable campus-scale facilities, like universities, or large corporations, a greater flexibility to manage their own distributed energy sources and in meeting their energy demands, even with power disturbances or outages in the grid. Simulation of these microgrids, which can disconnect or connect itself from the grid through a point of common coupling (PCC), yields insights into behavior of each load, if modeled in detail. Also, the simulation models are useful to investigate the effects of integrating new renewable generation in the distribution system. In this paper, the Real Time Digital Simulator (RTDS) is used to model the distribution system in real time and study the system dynamics in events of connection/disconnection to/from the main grid and disturbances. This paper reports results from simulation of a campus microgrid and its operation in several scenarios, by considering a representative model of the Washington State University campus electricity distribution system.