Discrete time model predictive controller design for voltage control of an islanded microgrid

Sarkar, Subroto K.; Badal, Faisal R.; Das, Sajal K.; Miao, Yuan

doi:10.1109/eict.2017.8275162

Cited by 27 publications

(10 citation statements)

References 10 publications

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“…In the grid-connected mode, the Direct Power Model Predictive Control approach (DPMPC) is applied to manage the power sharing between each DG and the grid, and in island mode, Voltage Model Predictive Control (VMPC) approach is provided as a droop control and secondary to adjust the output voltage of DGs. In [103], a research on the design of predictive controller based on discrete time model for voltage control in island microgrids is presented. In this research, several distributed generation units are connected in parallel to build a microgrid.…”

Section: Mpc-based Primary Controlmentioning

confidence: 99%

A Literature Review of the Control Challenges of Distributed Energy Resources Based on Microgrids (MGs): Past, Present and Future

Razmi

2022

Energies

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Different types of distributed generation (DG) units based on renewable and non-renewable energy sources can create a local energy system in microgrids. The widespread penetration of distributed energy resources (DERs) has affected many power system issues, such as the control and operation of these networks. For the optimal operation of microgrids, optimal energy planning and management in the new space governing the distribution system requires extensive research and analysis. Getting acquainted with the latest research about the evaluation of the problems and challenges in the design of control systems plays an important role in providing a guidance map for researchers to find the recent challenges and propose new solutions. This paper tried to list the challenges of distributed generation sources for MG applications, opportunities, and solutions. These challenges are reported in hierarchical control strategies and power-sharing categories. Therefore, Model Predictive Control (MPC)-based approaches are reviewed for different recent control levels and power sharing strategies in a comprehensive and simple point of view. The performance comparison of MPC methods together and different allocated fitness functions and implementation algorithms are dedicated. Another hand, the potential of MPC methods to control inverters for increasing the reliability of the grid, which this feature could not be achieved by using conventional strategies, while has not been investigated by researchers widely, is introduced in a short review. Therefore, this paper shows an intersection guidance map for readers to facilitate future research works in these exciting and undiscovered fields.

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Section: Mpc-based Primary Controlmentioning

confidence: 99%

A Literature Review of the Control Challenges of Distributed Energy Resources Based on Microgrids (MGs): Past, Present and Future

Razmi

2022

Energies

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“…Model predictive controller (MPC) has been proposed in this section to control the voltage of single phase islanded microgrid [129,130]. It is an advanced method used in the process industries as well as power system to reduce the tracking error based on dynamic models of the process.…”

Section: Model Predictive Controllermentioning

confidence: 99%

A survey on control issues in renewable energy integration and microgrid

Badal

Das

Sarker

et al. 2019

Prot Control Mod Power Syst

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245

112

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This paper describes the usefulness of renewable energy throughout the world to generate power. Renewable energy adds a remarkable scope in power system. Renewable energy sources act as the prime mover of a microgrid. The Microgrid is a small network of power system with distributed generation (DG) units connected in parallel. The integration challenges of renewable energy sources and the control of microgrid are described in this paper. The varied nature of DG system produces voltage and frequency deviation. The unknown nature of the load produces un-modeled dynamics. This un-modeled dynamic introduces measurable effects on the performance of the microgrid. This paper investigates the performance of the microgrid against different scenarios. The voltage of the microgrid is controlled by using different controllers and their results are also investigated. The performance of controllers is investigated using MATLAB/Simulink SimPowerSystems.

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“…+ ω 2 ) κωT in (24) In (25), the element T in is continuously offered the stable response by using the optimal FOPID regulator parameters. Now using (21) in (25), we can obtain as follows,…”

Section: Stability Analysismentioning

confidence: 99%

Ancillary Voltage Control Design for Adaptive Tracking Performance of Microgrid Coupled With Industrial Loads

et al. 2021

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Although the utilizing of renewable energy sources (RESs) in microgrid (MG) offers a recognized solution to meet the increasing demand, it's performance depend on various meteorological factors of RESs. Again, the functioning of MGs is often affected with certain industrial load dynamics which allowing them to alter the operating region and tracking function of the MGs. The above-mentioned challenges motivate us to design the ancillary voltage control design for enabling the MGs to provide adaptive transient and tracking voltage responses over the changes of various factors like weather, consumer demand, and industrial loads. Firstly, we design an intelligent adaptive control (IAC) framework made by merging with proportional-integral (PI) regulator and artificial neural network (ANN) to sustain the regulated common bus voltage over the mentioned changes. The regulated bus voltage is forwarded to operate the industrial loads via the regulation of inverter-based secondary network (SN). A study on the variation of weather condition and consumer demand is done to show the efficacy of the IAC framework. Secondly, we propose a novel fixed control structure named model reference modified fractional-order PID (MR-F0PID) regulator to maintain the high tracking response of the MG via the control of inverter associated with the SNs. The tracking competency of this fixed control framework is analyzed over the running of a few industrial loads dynamics associated with single-phase inverter based SN and results are compared with the other related existing controllers. Moreover, a mathematical analysis for mapping the stable region is completed here to track down the closed-loop stability area. As a further study, the three-phase inverter based SN associated with several three-phase industrial load is also considered with the same DC bus and analyzed to observe the competency of the proposed fixed MR-FOPID control framework.INDEX TERMS Adaptive controller, DC bus voltage stabilizer, fractional-order regulator, microgrid control and PV source.

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Discrete time model predictive controller design for voltage control of an islanded microgrid

Cited by 27 publications

References 10 publications

A Literature Review of the Control Challenges of Distributed Energy Resources Based on Microgrids (MGs): Past, Present and Future

A Literature Review of the Control Challenges of Distributed Energy Resources Based on Microgrids (MGs): Past, Present and Future

A survey on control issues in renewable energy integration and microgrid

Ancillary Voltage Control Design for Adaptive Tracking Performance of Microgrid Coupled With Industrial Loads

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