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Tools for Enhanced Grid Operation and Optimized PV Penetration Utilizing Highly Distributed Sensor Data.
Author(s) -
Matthew J. Reno,
Jouni Peppanen,
John Seuss,
Matthew Lave,
Robert Broderick,
Santiago Grijalva
Publication year - 2015
Language(s) - English
Resource type - Reports
DOI - 10.2172/1227183
Subject(s) - smoothing , computer science , grid , photovoltaic system , distributed generation , voltage , ac power , inverter , software , electronic engineering , electrical engineering , engineering , renewable energy , geometry , mathematics , computer vision , programming language
Increasing number s of PV on distribution systems are creating more grid impacts , but it also provides more opportunities for measurement, sensing, and control of the grid in a distributed fashion. This report demonstrates three software tools for characterizing and controlling distribution feeders by utilizing large numbers of highly distributed current, voltage , and irradiance sensors. Instructions and a user manual is presented for each tool. First, the tool for distribution system secondary circuit parameter estimation is presented. This tool allows studying distribution system parameter estimation accuracy with user-selected active power, reactive power, and voltage measurements and measurement error levels. Second, the tool for multi-objective inverter control is shown. Various PV inverter control strategies can be selected to objectively compare their impact on the feeder. Third, the tool for energy storage for PV ramp rate smoothing is presented. The tool allows the user to select different storage characteristics (power and energy ratings) and control types (local vs. centralized) to study the tradeoffs between state-of-charge (SOC) management and the amount of ramp rate smoothing.

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