Load Frequency Control in Microgrids Based on a Stochastic Noninteger Controller

Khooban, Mohammad‐Hassan; Niknam, Taher; Shasadeghi, Mokhtar; Dragičević, Tomislav; Blaabjerg, Frede

doi:10.1109/tste.2017.2763607

Cited by 167 publications

(80 citation statements)

References 30 publications

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“…It is important to note that the structure of FOPID is more compatible with a learning-based fuzzy approach which has been described in the following section. Indeed, this proposed control mechanism can include the advantages of the combination of fuzzy logic with PID controller which has been discussed in [26]. In the following, the structure of the proposed controller, which includes some uncertainties like the time constant of the diesel engine generator, the time constant of inertia of the isolated microgrid, the speed droop regulation constant, along with the load damping coefficient, has been shown in Figure 1.…”

Section: Proposed Fractional Order Controllermentioning

confidence: 99%

Coordination between Demand Response Programming and Learning-Based FOPID Controller for Alleviation of Frequency Excursion of Hybrid Microgrid

2020

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In recent years, residential rate consumptions have increased due to modern appliances which require a high level of electricity demands. Although mentioned appliances can improve the quality of consumers’ lives to a certain extent, they suffer from various shortcomings including raising the electricity bill as well as serious technical issues such as lack of balance between electricity generation and load disturbances. This imbalance can generally lead to the frequency excursion which is a significant concern, especially for low-inertia microgrids with unpredictable parameters. This research proposes an intelligent combination of two approaches in order to alleviate challenges related to the frequency control mechanism. Firstly, a learning-based fractional-order proportional-integral-derivative (FOPID) controller is trained by recurrent adaptive neuro-fuzzy inference (RANFIS) in the generation side during various operational conditions and climatic changes. In the following, a decentralized demand response (DR) programming in the load side is introduced to minimize consumption rate through controllable appliances and energy storage systems (ESSs). Furthermore, parameters uncertainties and time delay, which are generally known as two main concerns of isolated microgrids, are regarded in the frequency plan of a low-inertia microgrid including renewable energy sources (RESs), and energy storage systems (ESSs). Simulation results are illustrated in three different case studies in order to compare the performance of the proposed two methods during various operational conditions. It is obvious that the frequency deviation of microgrid can be improved by taking advantage of intelligent combination of both DR program and modern control mechanism.

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Section: Proposed Fractional Order Controllermentioning

confidence: 99%

Coordination between Demand Response Programming and Learning-Based FOPID Controller for Alleviation of Frequency Excursion of Hybrid Microgrid

2020

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“…Nonetheless, some works mention that this service could be required in the future for DSOs [18], [30]. In that case, the EV control for frequency regulation in microgrids could be also considered as a service for DSOs, since they have the potential to improve microgrid stability when operating in an isolated mode, as discussed in [42]- [45]. Most of the papers do not specify which kind of regulation is studied.…”

Section: Overview Of Traditional Classifications Of Ev Services Imentioning

confidence: 99%

Distribution System Services Provided by Electric Vehicles: Recent Status, Challenges, and Future Prospects

Arias

Hashemi

Andersen

et al. 2019

IEEE Trans. Intell. Transport. Syst.

111

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Trend-setting countries have promoted or even employed an increased number of electric vehicles (EVs) and other distributed energy resources (DERs) in their power systems. This development has triggered new and increasing challenges in the distribution system planning and operation, whereby distribution systems must adapt to the increased share of DERs. However, EVs may also offer new opportunities and can be used to support the grid by providing several local and global powerand energy-based services. This paper presents a review and classification of the services potentially available from EVs for distribution systems, referred to as EV distribution system services (EV-DSS). A detailed description of recent services and approaches is given, and an assessment of the maturity of EV-DSS is provided. Moreover, challenges and prospects for future research are identified, considering key topics, such as the design of the market framework, economic assessment, battery degradation, and the impacts of the transmission system operator service provision by EVs on distribution networks. Thus, this work offers a tool for stakeholders concerning services available from EVs and provides a broad literature framework that can be used as a base for further investigations. It is aligned with the current requirements to move toward realistic implementations of EV-DSS.

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“…To deal with the secondary LFC control of an islanded MG, the conventional proportional integral derivative (PID) controllers and their variants are capable of restoring frequency deviations in normal operation; however, they cannot work appropriately as operation points of the grid vary remarkably during a daily cycle. To improve the efficiency of the LFC, some suitable control strategies including H∞ control theory [7], adaptive control [14], robust control [15], and model predictive control (MPC) [16] have been applied to the DGs of the hybrid MG. In this regard, an MPC-based coordinated control of the blade pitch angles of the wind turbine (WT), and the plug-in hybrid electric vehicle (PHEV), has been developed in [16] for the LFC issue.…”

Section: Introductionmentioning

confidence: 99%

Optimal Non-Integer Sliding Mode Control for Frequency Regulation in Stand-Alone Modern Power Grids

Esfahani¹,

Roohi

Gheisarnejad

et al. 2019

Applied Sciences

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In this paper, the concept of fractional calculus (FC) is introduced into the sliding mode control (SMC), named fractional order SMC (FOSMC), for the load frequency control (LFC) of an islanded microgrid (MG). The studied MG is constructed from different autonomous generation components such as diesel engines, renewable sources, and storage devices, which are optimally planned to benefit customers. The coefficients embedded in the FOSMC structure play a vital role in the quality of controller commands, so there is a need for a powerful heuristic methodology in the LFC study to adjust the design coefficients in such a way that better transient output may be achieved for resistance to renewable sources fluctuations. Accordingly, the Sine Cosine algorithm (SCA) is effectively combined with the harmony search (HS) for the optimal setting of the controller coefficients. The Lyapunov function based on the FOSMC is formulated to guarantee the stability of the LFC mechanism for the test MG. Finally, the hardware-in-the-loop (HIL) experiments are carried out to ensure that the suggested controller can suppress the frequency fluctuations effectively, and that it provides more robust MG responses in comparison with the prior art techniques.

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Load Frequency Control in Microgrids Based on a Stochastic Noninteger Controller

Cited by 167 publications

References 30 publications

Coordination between Demand Response Programming and Learning-Based FOPID Controller for Alleviation of Frequency Excursion of Hybrid Microgrid

Coordination between Demand Response Programming and Learning-Based FOPID Controller for Alleviation of Frequency Excursion of Hybrid Microgrid

Distribution System Services Provided by Electric Vehicles: Recent Status, Challenges, and Future Prospects

Optimal Non-Integer Sliding Mode Control for Frequency Regulation in Stand-Alone Modern Power Grids

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