Unified probabilistic modeling of wind reserves for demand response and frequency regulation in islanded microgrids

Little, Maxwell L.; Rabbi, S. F.; Pope, Kevin; Quaicoe, John E.

doi:10.1109/ias.2017.8101853

Cited by 4 publications

(3 citation statements)

References 32 publications

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“…Microgrids might need control reserve, on the one hand in order to keep their schedule running parallel to the main grid; and on the other hand, to sustain the frequency during island mode 3,4 . The literature focuses on the latter case and does not deal with the reserve need of microgrids in grid‐tied mode.…”

Section: Introductionmentioning

confidence: 99%

Co‐simulation framework for calculating balancing energy needs of a microgrid with renewable energy penetration

et al. 2021

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Summary This paper introduces a unique simulation framework for testing and validating multiple operation issues of grid connected microgrids. The framework is widely adjustable and enables various control actions, for example, load shedding, demand response, power curtailment, and integration of battery energy storage systems (BESS). The microgrid operation framework runs several algorithms, providing data for the optimization of the actors at different time scales. In the first part of the paper, the framework, three predictor algorithms, and the network topology used for the tests are presented in detail. Balancing power requirements of microgrids are dominantly determined by uncertainties of intermittent renewable energy‐based generation and changes in consumption. Beyond the environment development, the aim of the present research is to quantify the temporal change of balancing needs between certain confidence intervals. Accordingly, in the second part of the paper, possible approaches to determine the balancing power needs are presented, including the stochastic approach of the new System Operation Guideline (SO GL). The last part of the paper presents error characteristics of the predictor algorithms and balancing power needs are calculated in the context of the European balancing market terminology. Daily and seasonal temporality of errors is examined. The authors recognized that in transition to a more flexible distribution grid operation, the importance of possible microgrid market value propositions is increasingly appreciated. Future research perspectives include physical demonstration and validation of possible ancillary service strategy planning for microgrids.

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Section: Introductionmentioning

confidence: 99%

Co‐simulation framework for calculating balancing energy needs of a microgrid with renewable energy penetration

et al. 2021

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“…Developing smart equipment in modern power systems brings the capability to facilitate the active participation of responsive loads in DR programs [5]. In a system that integrates renewable generation at high rates, DR can also be a useful option to cope with the uncertainty of RESs production [6]- [7].…”

Section: Introductionmentioning

confidence: 99%

Stochastic Risk-Constrained Scheduling of Renewable-Powered Autonomous Microgrids With Demand Response Actions: Reliability and Economic Implications

Vahedipour‐Dahraie

Rashidizadeh‐Kermani

Anvari‐Moghaddam

2020

IEEE Trans. on Ind. Applicat.

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“…The researchers analysed the frequency regulation in a wind–diesel‐powered MG using flywheels and fuel cells. In [11], the authors suggested different control algorithms that utilised wind power for regulating the frequency of islanded MG. However, owing to the seasonal and unreliable nature of wind, this concept was inefficient to regulate the frequency of MG's.…”

Section: Introductionmentioning

confidence: 99%

Virtual inertia provision through data centre and electric vehicle for ancillary services support in microgrid

Michael

Hasan

Mishra

2020

IET Renewable Power Generation

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The proposal focuses on the role of data centres (DCs) and electric vehicle (EV) energy storage systems (ESSs) for frequency regulation and it provides a new opportunity for different resources to participate in the power sector. Frequency fluctuations are introduced with the emergence of inverter‐dominated renewable energy sources (RESs) as it does not provide rotational inertia to the grid, such as synchronous generators. In this study, the virtual synchronous generator (VSG) controlled inverter compensates for the lack of inertia. Particularly, this research work analyses the involvement of DC and EV batteries as ESSs in designing an integrated technical virtual power plant (VPP) to support frequency variations using the VSG concept. Microgrid (MG) simulations are performed in MATLAB/ Simulink platform. Case studies are carried out to validate the grid export and grid import performance of the model by using variations in the load and the solar irradiance of the MG. It is verified that bidirectional power flow takes place between the proposed VPP components and the grid that enables the grid with high penetration of RESs. The work provides a conceptual framework for future contributions towards the smarter usage of assets such as ESS and a greener future.

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Unified probabilistic modeling of wind reserves for demand response and frequency regulation in islanded microgrids

Cited by 4 publications

References 32 publications

Co‐simulation framework for calculating balancing energy needs of a microgrid with renewable energy penetration

Co‐simulation framework for calculating balancing energy needs of a microgrid with renewable energy penetration

Stochastic Risk-Constrained Scheduling of Renewable-Powered Autonomous Microgrids With Demand Response Actions: Reliability and Economic Implications

Virtual inertia provision through data centre and electric vehicle for ancillary services support in microgrid

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