Analytics and Transactive Control Design for the Pacific Northwest Smart Grid Demonstration Project

Huang, Pu; Kalagnanam, Jayant; Natarajan, Ramesh; Hammerstrom, Don; Melton, Ronald B.; Sharma, Mayank; Ambrosio, Ron

doi:10.1109/smartgrid.2010.5622083

Cited by 47 publications

(25 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…TRANSACTIVE CONTROL RESEARCHES ON POWER SYSTEM OPERATIONS Currently, a lot of efforts have been made on the conceptual design and analysis of the hierarchical transactive control architecture. An analytics framework for end to end management and control of a hierarchical transactive control architecture for the electricity grid is presented in [7], [13]. The schematic of the proposed hierarchical structure is shown in Fig.…”

Section: Pilot Projects With Transactive Controlmentioning

confidence: 99%

“…2. Representation of transactive control hierarchy proposed in [7], [13] In this figure, the value signals flow downstream towards the left (labeled as operational objectives), while the corresponding demand signals flow upstream towards the right (labeled as status and opportunities). Note that responsive assets (respectively, value signal calculations) do not occur only at the extreme downstream (respectively, upstream) locations in the figure.…”

Section: Pilot Projects With Transactive Controlmentioning

confidence: 99%

See 1 more Smart Citation

Transactive energy: A review of state of the art and implementation

Liu

Huang

et al. 2017

2017 IEEE Manchester PowerTech

View full text Add to dashboard Cite

Abstract-In future smart grids, large-scale deployment of distributed energy resources (DERs) and renewable energy sources (RES) is expected. In order to integrate a high penetration level of DERs and RES in the grid while operating the system safely and efficiently, new control methods for power system operations are in demand so that the flexibility of the responsive assets in the grid can be further explored. Transactive control, considered as one of the most novel distributed control approaches for power system operations, has been extensively discussed and studied around the world in recent years. This paper provides a bibliographical review on the researches and implementation of the transactive energy concepts and transactive control techniques in power systems. The ideas of transactive control are introduced mainly according to the transactive energy framework proposed by the GridWise Architecture Council. The implementation pilots and research studies on transactive control applications in power systems are reviewed subsequently.

show abstract

Section: Pilot Projects With Transactive Controlmentioning

confidence: 99%

Section: Pilot Projects With Transactive Controlmentioning

confidence: 99%

Transactive energy: A review of state of the art and implementation

Liu

Huang

et al. 2017

2017 IEEE Manchester PowerTech

View full text Add to dashboard Cite

show abstract

“…This section applies the proposed market mechanism and the learning scheme to the TCL coordination problem considered in the GridWise® demonstration project [9], [10], and presents simulation results to demonstrate the effectiveness of the proposed market mechanism.…”

Section: Case Studiesmentioning

confidence: 99%

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

Zhang

Lian

et al. 2016

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

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 energy 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 realworld weather data and price data, and is compared with other approaches in terms of aggregated load response. Simulation results indicate that our coordination framework can effectively improve the operational efficiency of the distribution system and reduce power congestion at key times.

show abstract

“…[12] describes the generalization and standardization of the transactive control approach. [4] described a comprehensive smart grid demon stration project in the Pacific Northwest and demonstrate how trasactive control can be used to manage distributed generation and demand response. [13] investigated a fi ve-minute s l otted communication protocol for power scheduling at home area network using real-time price provided by the smart meters.…”

Section: Related Workmentioning

confidence: 99%

“…We have embarked on a comprehensive smart grid demon stration project in the Pacific Northwest involving 60,000 customers from 12 utilities across 5 end-to-end electrical system from generation to consumption, built around a substantial infrastructure of deployed smart meters: [4] describes our effort in greater detail. This unique smart grid demonstration spans the electrical system from generation to transmission and distribution to ultimately end user load.…”

Section: Introductionmentioning

confidence: 99%

Simulation models for evaluation of network design and hierarchical transactive control mechanisms in Smart Grids

Jin

Zhang

Ghosh

2012

2012 IEEE PES Innovative Smart Grid Technologies (ISGT)

View full text Add to dashboard Cite

Smart-grid technologies seek to enhance the electri cal grid's efficiency by introducing bi-directional communication and dynamic adaptive control between energy suppliers and consumers. We develop a large-scale network simulation model for evaluating such a hierarchical transactive control system that is part of our work on the Pacific Northwest Smart Grid Demonstration Project. The transactive control system communicates local supply conditions using incentive signals and load adjustment responses using feedback signals in a distributed fashion in order to match the consumer-desired load to the utility desired supply scenario. We study the system protocol and a dynamic control mechanism that is implied by the design under a reasonable collection of models that capture load variation, stochastic signal losses, consumer fatigue to demand response and certain 'stickiness' criterion on the control signals that arise out of physical constraints. Our results indicate that the control mechanism can perform adequately in adjusting the aggregate supply-demand mismatch, and is robust to steady transactive signal losses.Index Terms-smart grid, demand response, transactive con trol, discrete-event network simulator

show abstract

Analytics and Transactive Control Design for the Pacific Northwest Smart Grid Demonstration Project

Cited by 47 publications

References 5 publications

Transactive energy: A review of state of the art and implementation

Transactive energy: A review of state of the art and implementation

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

Simulation models for evaluation of network design and hierarchical transactive control mechanisms in Smart Grids

Contact Info

Product

Resources

About