Optimal Tracking Strategies for Uncertain Ensembles of Thermostatically Controlled Loads

Optimal Tracking Strategies for Uncertain Ensembles of Thermostatically Controlled Loads

Coimbatore Anand, Sribalaji (TU Delft Mechanical, Maritime and Materials Engineering)

Baldi, Simone (mentor)
Grammatico, Sergio (graduation committee)
Mohajerin Esfahani, Peyman (graduation committee)

Delft University of Technology

Mechanical Engineering | Systems and Control

2019-07-04

Traditional centralized power plants have limited ability to adapt to the varying power demands caused due to the increasing deployment of renewable energy sources. For power grids, willing to increase the use of renewable energy and thereby decrease the energy bills, demand side energy management could act as an effective solution. Demand side energy management of the power grid refers to the process of regulating the power demands of the devices it serves. A large fraction of this power demand on the grid lines is caused due to Thermostatically Controlled Loads such as residential refrigerators, electric water heaters, air conditioners, industrial heaters, ovens, etc. Traditionally, the energy management of these devices is achieved using model predictive control and linear quadratic regulation. To better handle the system heterogeneity and computation costs, model-free adaptive control algorithms are explored.

Thermostatically Controlled Load
Demandside energy management
Adaptive optimal control

http://resolver.tudelft.nl/uuid:b15f848e-744f-4f22-a1a4-c63c4986d0b8

Student theses

master thesis

© 2019 Sribalaji Coimbatore Anand