Model Free Optimal Control Of Distributed Energy Resources In Electric Power Distribution Systems
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Model-Free Optimal Control of Distributed Energy Resources in Electric Power Distribution Systems
Distributed Energy Resources (DER) have the potential to both improve the manner in which the electric power distribution system is operated and provide services to the bulk electric grid. A key question that has emerged in academic circles is the manner in which DER is governed to provide such utility. While many of the suggested approaches are mathematically elegant and demonstrate positive performance in simulations, they face enormous barriers to implementation due to their reliance on knowledge of network models and burdensome communications requirements. This dissertation focuses on the application of an Extremum Seeking (ES) control approach to manage individual DER, that does not require utility network models and or communication between agents. Results achieved from the application of this technique are shown to be equivalent to those derived from centrally-based optimization strategies that utilize convex relaxation techniques. Initially, I explore the use of Extremum Seeking to manage reactive power resources to perform voltage constrained optimization in balanced radial distribution systems. Next, also for balanced and radial distribution systems, I extend this work to consider the management of four-quadrant-capable DER to enable voltage-constrained distribution substation real power and voltage reference tracking. My approach essentially allows the distribution feeder to act as a controllable (P,V) bus when viewed from the perspective of the Transmission System Operator. Finally, in an attempt to extend my results to 3-phase distribution systems, I derive a linear approximation to unbalanced power flow and explore a new objective of using reactive power resources to regulate and balance system voltages. While the latter-most piece does not specifically consider ES, it lays the necessary foundation for the application of the approach in unbalanced systems.
Power Systems Research and Operation
Author: Olexandr Kyrylenko
language: en
Publisher: Springer Nature
Release Date: 2023-11-21
This book covers new technologies and methods related to models for short-term forecasting of electricity imbalances in the IPS of Ukraine, taking into account the impact of forecasts of energy production from renewable sources on the accuracy of the imbalance forecast. The book proposed architecture and mathematical model of an artificial neural network for deep learning forecasting of short-term electricity imbalances using hourly data. Using a model to aggregate data with an hourly resolution followed by forecasting to reduce forecast error, the quasi-dynamic modeling method was used to analyze the impact of periodic generation on the network. The application of quasi-dynamic modeling also allows taking into account the system load curve, generation profile, storage system, as well as renewable energy sources (RES) operation in this area. The use of models makes it possible to achieve realistic estimates of generation for the required period. The book considers a local hybrid renewable energy system (HRES) based on different types of RES, which is more efficient than a system with one type of source.
Distributed Generation Systems
Author: Gevork B. Gharehpetian
language: en
Publisher: Butterworth-Heinemann
Release Date: 2017-05-19
Approx.580 pagesApprox.580 pages