Engineering
Project | 01
Project | 01 Distributed Voltage Control
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High penetration of distributed energy resources presents several challenges and opportunities for voltage regulation in power distribution systems. The reactive power (VAR) control framework will be developed that can fast respond to voltage mismatch and address the robustness issues of (de-)centralized approaches to communication delays and noises.
Project | 02
Project | 02 Microgrid
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Managing secure interoperability of microgrid components in the present and future grids is a significant and growing challenge. We propose to develop a secure framework for interoperability of storage, distributed generation (DG), demand response (DR), and renewable energy assets to provide regulating reserve services to the grid as needed. This framework consists of object models for asset (node) self-description, real-time modeling, and simulation to determine optimal dispatch at short time scales, and an intelligent collaborative defense against malicious cyber attacks.
Project | 03
Project | 03 Conservation Voltage Reduction
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With an ever-increasing demand and depleting energy resources, there has been a growing interest in conserving energy, such as the conservation voltage reduction (CVR) program to reduce energy consumption by decreasing feeder voltage. Several utilities are conducting pilot projects on their feeder systems to determine the feasibility and actual CVR payoff. One major challenge in analyzing the CVR field test data lies in the uncertainty of the power system load and a variety of dependent factors encompassing temperature and time. This project proposes a methodology to facilitate the CVR performance analysis at the utilities by accounting all potentially influential factors. A linear relation to model the system power demand is presented, which allows a sparse linear regression method to obtain its sensitivity parameter to voltage magnitude and accordingly to quantify the CVR payoff. All input factors can also be ranked according to their statistical influence on representing the power demand output.