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Title: Market-Based Coordination of Thermostatically Controlled Loads—Part II: Unknown Parameters and Case Studies

Abstract

This two-part paper considers the coordination of a population of Thermostatically Controlled Loads (TCLs) with unknown parameters to achieve group objectives. The problem involves designing the bidding and market clearing strategy to motivate self-interested users to realize efficient energy allocation subject to a peak power constraint. The companion paper (Part I) formulates the problem and proposes a load coordination framework using the mechanism design approach. To address the unknown parameters, Part II of this paper presents a joint state and parameter estimation framework based on the expectation maximization algorithm. The overall framework is then validated using real-world weather data and price data, and is compared with other approaches in terms of aggregated power response. Simulation results indicate that our coordination framework can effectively improve the efficiency of the power grid operations and reduce power congestion at key times.

Authors:
; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1337244
Report Number(s):
PNNL-SA-104858
Journal ID: ISSN 0885-8950
DOE Contract Number:
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: IEEE Transactions on Power Systems; Journal Volume: 31; Journal Issue: 2
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 29 ENERGY PLANNING, POLICY, AND ECONOMY; Mechanism Design; Demand Reponse

Citation Formats

Li, Sen, Zhang, Wei, Lian, Jianming, and Kalsi, Karanjit. Market-Based Coordination of Thermostatically Controlled Loads—Part II: Unknown Parameters and Case Studies. United States: N. p., 2016. Web. doi:10.1109/TPWRS.2015.2432060.
Li, Sen, Zhang, Wei, Lian, Jianming, & Kalsi, Karanjit. Market-Based Coordination of Thermostatically Controlled Loads—Part II: Unknown Parameters and Case Studies. United States. doi:10.1109/TPWRS.2015.2432060.
Li, Sen, Zhang, Wei, Lian, Jianming, and Kalsi, Karanjit. 2016. "Market-Based Coordination of Thermostatically Controlled Loads—Part II: Unknown Parameters and Case Studies". United States. doi:10.1109/TPWRS.2015.2432060.
@article{osti_1337244,
title = {Market-Based Coordination of Thermostatically Controlled Loads—Part II: Unknown Parameters and Case Studies},
author = {Li, Sen and Zhang, Wei and Lian, Jianming and Kalsi, Karanjit},
abstractNote = {This two-part paper considers the coordination of a population of Thermostatically Controlled Loads (TCLs) with unknown parameters to achieve group objectives. The problem involves designing the bidding and market clearing strategy to motivate self-interested users to realize efficient energy allocation subject to a peak power constraint. The companion paper (Part I) formulates the problem and proposes a load coordination framework using the mechanism design approach. To address the unknown parameters, Part II of this paper presents a joint state and parameter estimation framework based on the expectation maximization algorithm. The overall framework is then validated using real-world weather data and price data, and is compared with other approaches in terms of aggregated power response. Simulation results indicate that our coordination framework can effectively improve the efficiency of the power grid operations and reduce power congestion at key times.},
doi = {10.1109/TPWRS.2015.2432060},
journal = {IEEE Transactions on Power Systems},
number = 2,
volume = 31,
place = {United States},
year = 2016,
month = 3
}
  • This paper focuses on the coordination of a population of Thermostatically Controlled Loads (TCLs) with unknown parameters to achieve group objectives. The problem involves designing the bidding and market clearing strategy to motivate self-interested users to realize efficient energy allocation subject to a peak power constraint. Using the mechanism design approach, we propose a market-based coordination framework, which can effectively incorporate heterogeneous load dynamics, systematically deal with user preferences, account for the unknown load model parameters, and enable the real-world implementation with limited communication resources. This paper is divided into two parts. Part I presents a mathematical formulation of themore » problem and develops a coordination framework using the mechanism design approach. Part II presents a learning scheme to account for the unknown load model parameters, and evaluates the proposed framework through realistic simulations.« less
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