Using control methods to model energy hub systems

Yu, Dongmin; Lian, Bo; Dunn, R.W.; Le, Simon

doi:10.1109/upec.2014.6934602

Cited by 11 publications

(4 citation statements)

References 8 publications

(7 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Investments in energy storage hubs, allocation, and pricing strategies, as well as determining the optimal energy mix are drawing a lot of attention. Several works have tackled the energy storage problem from an optimization perspective [4][5][6]. In [4], the authors solved the optimization problem using a similar decoupled form (SDF) approach, while in [5] and [6], the hub's structural and operational linear optimization was tackled to understand the energy hubs.…”

Section: Introductionmentioning

confidence: 99%

“…Several works have tackled the energy storage problem from an optimization perspective [4][5][6]. In [4], the authors solved the optimization problem using a similar decoupled form (SDF) approach, while in [5] and [6], the hub's structural and operational linear optimization was tackled to understand the energy hubs. While optimization approaches are quite practical and advantageous, their major limitation is their inability to model and analyze situations with interdependence and interactions amongst players.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A New Cooperative Game—Theoretic Approach for Customer-Owned Energy Storage

2022

View full text Add to dashboard Cite

The increasing demand for energy storage systems (ESSs) alongside the continuous enhancements to storage technology have been of great positive impact on the electric grid. Their unceasing development has been driven by the need to accommodate increased penetration of renewable energy resources and defer capital investments, among other benefits. Moreover, ESSs have played a key role in the grid’s ability to cope with its ever-shifting load profiles, resulting in large economic gain for ESS owners. For this reason, this prospective study was designed to investigate privately-owned energy storage hubs (ESHs) and their interactions with potential customers as well as with the electric grid. This research examined two contrasting interaction approaches for customer-owned stationary energy storage hubs: a cooperative and a non-cooperative game-theoretic approach. The goal of the cooperative technique is to conduce to a correlated equilibrium increasing the social welfare of all players involved using a regret matching algorithm. On the other hand, in the non-cooperative approach, modeled as an ascending price-clinching auction, each player acts greedily, maximizing only their individual welfare. Implementing both case studies resulted in important insights into ESH players’ interactions and provided contrasting methods of modeling their behaviors. Finally, depending on the application at hand, the choice of one approach may be more realistic than the other.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Cooperative Game—Theoretic Approach for Customer-Owned Energy Storage

2022

View full text Add to dashboard Cite

show abstract

“…In the next few years, electrical distribution grids are expected to be smarter due to the current changing energy scenario. New concepts related to efficiency, reliability, robustness, management, and business are finding their way, such as microgrids [13,14], smart-grids [15], energy hubs [16], power routers [17], or virtual power plants [18]. In the mentioned new framework, GSIs will start to coexist in the grid with other devices such as GCIs and GSCIs.…”

Section: Introductionmentioning

confidence: 99%

Impedance Measurement and Detection Frequency Bandwidth, a Valid Island Detection Proposal for Voltage Controlled Inverters

Llonch-Masachs¹,

Heredero-Peris²,

Chillón-Antón³

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

Anti-islanding detection methods have been part of a secure operation for distributed energy resource inverters, avoiding the creation of non-intentional energization when the mains are lost. These detection mechanisms were conceived historically for current-controlled inverters. New control possibilities have broken ground, and current- or voltage-controlled inverters are a reality; however, special attention must be paid to detection strategies when applied to the latter ones. This paper addresses two topics: it exposes the lack of effectiveness of those detection algorithms based on the voltage/frequency displacement concept under voltage-controlled inverters and evaluates the applicability limits of the others based on the impedance measurement (IM). The IM is presented as a valid mechanism to achieve the islanding detection, but the exploration of its limits drives the concept of detection frequency bandwidth (DFBW), introduced in this paper. The DFBW is suggested as a practical approach to select the proper injection frequency to measure. Therefore, an improved strategy based on the IM and DFBW is proposed to allow achieving the detection towards (non-)resonant loads considering low computational burden. The results were experimentally validated in a 90-kVA four-wire voltage-controlled inverter, offering detection times of less than 100 ms in any case.

show abstract

“…A main research focus of energy hub is the modeling method to enable the incorporation of different energy facilities. This issue has been studied in the existing literature by using the automatic construction procedure [41], the block schematic diagram method [42], the decoupling method [43] and the linearized modeling method [36], to name a few. Another important problem is the business model of energy hubs taking their self-regarding behaviors into account, calling for a thorough study on trading scheme design, which is exactly the main motivation of this paper.…”

Section: Introductionmentioning

confidence: 99%

Analyzing and validating the economic efficiency of managing a cluster of energy hubs in multi-carrier energy systems

et al. 2018

View full text Add to dashboard Cite

 Users may download and print one copy of any publication from the public portal for the purpose of private study or research.  You may not further distribute the material or use it for any profit-making activity or commercial gain  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

Using control methods to model energy hub systems

Cited by 11 publications

References 8 publications

A New Cooperative Game—Theoretic Approach for Customer-Owned Energy Storage

A New Cooperative Game—Theoretic Approach for Customer-Owned Energy Storage

Impedance Measurement and Detection Frequency Bandwidth, a Valid Island Detection Proposal for Voltage Controlled Inverters

Analyzing and validating the economic efficiency of managing a cluster of energy hubs in multi-carrier energy systems

Contact Info

Product

Resources

About