Resilient Information Architecture Platform for the Smart Grid: A Novel Open-Source Platform for Microgrid Control

Tu, Hao; Du, Yuhua; Yu, Hui; Dubey, Abhishek; Lukic, Srdjan; Karsai, Gábor

doi:10.1109/tie.2019.2952803

Cited by 33 publications

(11 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Usually, intelligent electronic devices (IEDs) are used to implement distributed algorithms of the secondary layer. IEDs hardware requirements are met using single board computers (embedded systems like Raspberry PI boards) to run open‐source or commercial control platforms such as JADE [43], or Linux‐based platforms like RIAPS [44]. The secondary control algorithms are implemented through these IEDs, to generate the reference signal for their local primary controllers by using neighbouring unit's states which are received through the communication network.…”

Section: Problem Formulationmentioning

confidence: 99%

Resilient cooperative control of AC microgrids considering relative state‐dependent noises and communication time‐delays

Afshari

Karrari

Baghaee

et al. 2020

IET Renewable Power Generation

View full text Add to dashboard Cite

In this study, a resilient distributed control algorithm is proposed for the secondary voltage and frequency restoration of an autonomous inverter-based microgrid considering simultaneous relative state-dependent noises and communication timedelays (CTDs). The proposed algorithm is robust against potential time-varying stochastic noises and CTDs, which corrupt the data exchanges in the secondary control layer. Additionally, this study considers the contribution of both distributed generation and distributed energy storage (DES) units in islanded AC microgrids. The presence of DES creates the need for an extra control algorithm to provide state-of-charge (SoC) balancing for these units and having precise active power-sharing. The theoretical concepts of the proposed control algorithm, including the mathematical modelling of microgrid, basic lemma, and controller design procedure, are outlined. The performance assessment of the presented control algorithm is evaluated through simulations on a test microgrid in MATLAB/Simulink software. Then, some previously-reported algorithms are selected to compare the proposed control algorithm with them. The obtained results show the effectiveness and robustness of the presented algorithm in regulating the voltage and frequency, matching SoCs, and as a result, having precise active powersharing. P ji uncertain and delayed active-power measured by the ith unit SoC ji uncertain and delayed SoC measured by the ith unit

show abstract

Section: Problem Formulationmentioning

confidence: 99%

Resilient cooperative control of AC microgrids considering relative state‐dependent noises and communication time‐delays

Afshari

Karrari

Baghaee

et al. 2020

IET Renewable Power Generation

View full text Add to dashboard Cite

show abstract

“…The work presented focuses on the handling of unplanned islanding events by the use of consensus-based algorithms between several agents or a multi-agent system. A similar approach was adopted in [39,40] with the proposed resilient information architecture platform for the smart grid (RIAPS). The control system uses Beaglebone Black Boards as edge devices to implement the decentralized control functionality.…”

Section: Decentralized Microgrid Control Systemsmentioning

confidence: 99%

“…1. Microgrid prototyping and validation: Testing AC, DC, and Hybrid MGs requires a wide variety of techniques and methodologies including: benchmarks and prototyping platforms [32][33][34][35], testing chains and procedures for centralized and decentralized controllers [36][37][38][39][40][41], and rapid control prototyping (RCP) for a quick development of new control strategies in a real hardware environments [42][43][44]. 2.…”

Section: Introductionmentioning

confidence: 99%

Advanced Laboratory Testing Methods Using Real-Time Simulation and Hardware-in-the-Loop Techniques: A Survey of Smart Grid International Research Facility Network Activities

et al. 2020

View full text Add to dashboard Cite

The integration of smart grid technologies in interconnected power system networks presents multiple challenges for the power industry and the scientific community. To address these challenges, researchers are creating new methods for the validation of: control, interoperability, reliability of Internet of Things systems, distributed energy resources, modern power equipment for applications covering power system stability, operation, control, and cybersecurity. Novel methods for laboratory testing of electrical power systems incorporate novel simulation techniques spanning real-time simulation, Power Hardware-in-the-Loop, Controller Hardware-in-the-Loop, Power System-in-the-Loop, and co-simulation technologies. These methods directly support the acceleration of electrical systems and power electronics component research by validating technological solutions in high-fidelity environments. In this paper, members of the Survey of Smart Grid International Research Facility Network task on Advanced Laboratory Testing Methods present a review of methods, test procedures, studies, and experiences employing advanced laboratory techniques for validation of range of research and development prototypes and novel power system solutions.

show abstract

“…The rapid development of microgrids is changing the structures of electricity markets around the world [1,2]. Microgrids are assumed to be a key way to increase the share of renewable energy power (wind power, photovoltaic power generation, and biomass) [3,4].…”

Section: Introductionmentioning

confidence: 99%

Government Incentive Contracts for Microgrid Users

Lin

2021

Energies

View full text Add to dashboard Cite

Tariff subsidies are beneficial to the further development of the microgrid market. In response to the reduction of the power generation costs of microgrids, the energy storage subsidy for microgrids has become a key factor affecting their further development. Therefore, it is essential to explore and establish a government subsidy mechanism for the energy storage price of microgrids. In this paper, we consider the incentive compatibility constraints and participation constraints of both the government and the microgrid energy storage subsidy. The cases of hidden information and no hidden information are investigated. A microgrid energy storage subsidy model of the incentive compatibility constraint was established to analyze the efficiency of the government subsidy and the microgrid energy storage in the “self-generation + energy storage” mode. The results show that there is an adverse selection problem between the government and energy storage subsidies for microgrid users. In the case of no hidden information, the government can sign different contracts with microgrid users according to their different energy storage efficiency levels. In the case of hidden information, it is better for the government to design a menu of different incentive contracts for microgrid users with different energy storage efficiencies. This approach can ensure that microgrid users with low energy storage efficiency continue to participate in the microgrid construction. Microgrid users with high energy storage efficiency can, thus, better control their costs related to the self-generation, self-use, and surplus electricity transmitted to the grid as well as better select high-regulation carbon dioxide emission reductions and their capacity generation.

show abstract

Resilient Information Architecture Platform for the Smart Grid: A Novel Open-Source Platform for Microgrid Control

Cited by 33 publications

References 25 publications

Resilient cooperative control of AC microgrids considering relative state‐dependent noises and communication time‐delays

Resilient cooperative control of AC microgrids considering relative state‐dependent noises and communication time‐delays

Advanced Laboratory Testing Methods Using Real-Time Simulation and Hardware-in-the-Loop Techniques: A Survey of Smart Grid International Research Facility Network Activities

Government Incentive Contracts for Microgrid Users

Contact Info

Product

Resources

About