Hierarchical control framework for integrated coordination between distributed energy resources and demand response

Wu, Di; Lian, Jianming; Sun, Yannan; Yang, Tao; Hansen, Jesper Rohr

doi:10.1016/j.epsr.2017.05.002

Cited by 24 publications

(8 citation statements)

References 26 publications

(31 reference statements)

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“…In this section, we provide simulation results to demonstrate the application of negotiation-based transactive energy systems to effectively coordinate and control distributed energy resources (DERs) and demand response (DR) for short-term scheduling and operation. More technical details and results can be found in (Wu et al 2017). The control strategy proposed therein for integrated coordination between DERs and DR is shown in Figure 17, where a negotiation algorithm is adopted at the coordination layer, and a double-auction market is set up at the device layer for residential load aggregation.…”

Section: Simulation Resultsmentioning

confidence: 99%

Transactive System: Part II: Analysis of Two Pilot Transactive Systems using Foundational Theory and Metrics

Lian

Sun

Kalsi

et al. 2018

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The increased penetration of renewable energy has significantly changed the conditions and the operational timing of the electricity grid. More flexible, faster ramping resources are needed to compensate for the uncertainty and variability introduced by renewable energy. Distributed energy resources (DERs) such as distributed generators, energy storage, and controllable loads could help manage the power grid in terms of both economic efficiency and operational reliability. In order to realize the benefits of DERs, coordination and control approaches must be designed to enable seamless integration of DERs into the power grid. Transactive coordination and control is a new approach for DER integration, where individual resources are automated and engaged through market interaction. Transactive approaches use economic signals-prices or incentives-to engage DERs. These economic signals must reflect the true value of the DER contributions, so that they seamlessly and equitably compete for the opportunities that today are only available to grid-owned assets. Value signals must be communicated to the DERs in near-real time, the assets must be imbued with new forms of distributed intelligence and control to take advantage of the opportunities presented by these signals, and they must be capable of negotiating and transacting a range of market-driven energy services. The concepts of transactive energy systems are not new, but build upon evolutionary economic changes in financial and electric power markets. These concepts also recognize the different regional structures of wholesale power markets, electricity delivery markets, retail markets, and vertically integrated service provider markets. Although transactive energy systems are not revolutionary, they will be transformational in their ability to provide flexibility and operational efficiency. A main goal of this research is to establish a theoretical foundation for analysis of transactive energy systems and to facilitate new transactive energy system design with demonstrable guarantees on stability and performance. Specifically, the goals are to (1) establish a theoretical basis for evaluating the performance of different transactive systems, (2) devise tools to address canonical problems that exemplify challenges and scenarios of transactive systems, and (3) provide guidelines for design of future transactive systems. First, mathematical models for key elements of transactive systems that are consistent with existing control theory need to be developed. In cases where no mathematical treatment is possible under existing control or economic theory, the theory itself must be extended to allow new mathematical models for transactive energy systems. In addition, performance metrics are needed to quantify potential limitations of existing transactive energy systems. This document is the second of a two-part report. Part 1 reviewed several demonstrations of transactive control and compared them in terms of their payoff functions, control decisions, information privacy, and ...

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Section: Simulation Resultsmentioning

confidence: 99%

Transactive System: Part II: Analysis of Two Pilot Transactive Systems using Foundational Theory and Metrics

Lian

Sun

Kalsi

et al. 2018

Self Cite

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“…Finally, after receiving all demand bids and supply offers, a central entity (i.e., representing the TSO) clears all power transactions by optimizing social welfare criteria [24]. It is worth mentioning that some research such as [1,25] have proposed methods for demand-supply coordination using distributed optimization approaches. However, these methods still solve the demand-supply dispatch problem for optimal social welfare, albeit in a distributed manner.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Finally, upon solving the quadratic optimization problem, the bilateral generation bid offered by bidder g to the asker l is calculated using (25).…”

Section: Min Wgl W Tmentioning

confidence: 99%

Proactive demand-side participation: Centralized versus transactive demand-Supply coordination

Ostadijafari

Bedoya

Wang

et al. 2022

Electric Power Systems Research

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“…If new elements such as DR and energy storage participate in the power system operation, there will be a great number of schedule units with different sizes and characteristics (Tang et al, 2018). The information and communications technology need to be further enhanced to reliably achieve hierarchical control and real‐time interaction (Wu, Lian, Sun, Yang, & Hansen, 2017).…”

Section: Challenges For Achieving Source‐network‐demand‐storage Coordmentioning

confidence: 99%

Power system transition in China under the coordinated development of power sources, network, demand response, and energy storage

Zhang

Dai

Wang

et al. 2020

WIREs Energy & Environment

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China is transiting its power system towards a more flexible status with a higher capability of integrating renewable energy generation. Demand response (DR) and energy storage increasingly play important roles to improve power system flexibility. The coordinated development of power sources, network, DR, and energy storage will become a trend. This paper examines the significance of source‐network‐demand‐storage coordinated development. Furthermore, an outlook of the power system transition in China is provided by virtue of source‐network‐demand‐storage coordinated planning. The paper also assesses the integration of multiple urban infrastructures in China and its impacts on source‐network‐demand‐storage coordination. Lastly, challenges for achieving the source‐network‐demand‐storage coordination and suggested measures are discussed. This article is categorized under: Energy Research & Innovation > Systems and Infrastructure Energy and Urban Design > Systems and Infrastructure

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Hierarchical control framework for integrated coordination between distributed energy resources and demand response

Cited by 24 publications

References 26 publications

Transactive System: Part II: Analysis of Two Pilot Transactive Systems using Foundational Theory and Metrics

Transactive System: Part II: Analysis of Two Pilot Transactive Systems using Foundational Theory and Metrics

Proactive demand-side participation: Centralized versus transactive demand-Supply coordination

Power system transition in China under the coordinated development of power sources, network, demand response, and energy storage

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