Hierarchical control of hybrid direct current microgrid with variable structure based sliding mode control and fuzzy energy management system

Badar, Maria; Ahmad, Iftikhar; Rehman, Sana; Nazir, Muhammad Saqib; Waqas, Adeel

doi:10.1016/j.jfranklin.2022.06.044

Cited by 11 publications

(5 citation statements)

References 39 publications

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“…A suggested control method is made by mixing the characteristics of sliding mode control (SMC) as a robust controller with the integral action to lessen, if not eliminate, the switching frequency. 27 However, they focus mainly on integration of wind and solar energy as a renewable sources or lacked the full archival sources to tackle the issue, which is the high penetration sources. Furthermore, the previously suggested nonlinear controllers exhibit performance constraints due chattering concerns affecting the sliding mode.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For future electricity generation applications, a prospective hybrid power system is the FC's polymer electrolyte membrane paired with the BSS. A suggested control method is made by mixing the characteristics of sliding mode control (SMC) as a robust controller with the integral action to lessen, if not eliminate, the switching frequency 27 . However, they focus mainly on integration of wind and solar energy as a renewable sources or lacked the full archival sources to tackle the issue, which is the high penetration sources.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Novel design and adaptive coordinated energy management of hybrid fuel‐cells/tidal/wind/PV array energy systems with battery storage for microgrids

Belkhier,

Oubelaid

2024

Energy Storage

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This paper proposes a comprehensive solution to the challenges of managing a hybrid microgrid that generates electricity from multiple sustainable energy sources by proposing a coordinated energy management strategy and storage system. As renewable energy generation becomes increasingly popular, it introduces greater intermittency and stochasticity in energy management. To address this issue, a coordinated energy management strategy and storage system is proposed, which includes a fuzzy logic modified super twisting algorithm (MSTA). The objectives are to optimize the design and operation of microgrid including electrical based energy conversion systems such as photovoltaic and wind turbines, fuel cells, tidal energy, electric vehicle charging stations, and main grid. The second objective is to develop an energy management system for hybrid energy storage systems (HESS) and renewable energy sources (RESs) to maximize power production and ensure service continuity and smooth output energy of the microgrid, while also providing optimal benefits. To maintain cost‐effectiveness, an On/Off maximum power point tracking (MPPT) algorithm is also proposed. The contribution of this paper is to provide a solution to the intermittent and stochastic nature of renewable energy management and to improve the efficiency and durability of the energy conversion systems. The proposed management unit provides consistent output power and long‐term service.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Novel design and adaptive coordinated energy management of hybrid fuel‐cells/tidal/wind/PV array energy systems with battery storage for microgrids

Belkhier,

Oubelaid

2024

Energy Storage

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“…The control law's objective is to guide the system onto the sliding surface and sustain a sliding motion to ensure stability. This characteristic has led to its extensive application in various engineering systems [21], [22]. The error terms are specified as…”

Section: A Sliding Mode Controlmentioning

confidence: 99%

“…To ensure that the sliding surface eventually reaches its target, we establish the switching law as follows ṡi = where u = u eq + u sw (22) By substituting the values of u eq and u sw into eq. ( 22), the following result is obtained:…”

Section: B Super Twisting Sliding Mode Controlmentioning

confidence: 99%

Advance Optimized Nonlinear Control Strategies for Manage Pressure Drilling

Rehman,

Ghias,

Ahmad

et al. 2024

IEEE Access

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Manage Pressure Drilling (MPD) presents a pioneering methodology for enhancing control over well operations and drilling processes, furnishing a proactive approach to mitigate risks stemming from fluctuating downhole pressures. Through the meticulous regulation of drilling fluid via a choke valve, MPD adeptly manages fluid pressure dynamics, effectively addressing challenges posed by undesirable pressure fluctuations. These fluctuations, often instigated by the vertical oscillations of the drill string due to wave disturbances, known as Heave Motion, can jeopardize the integrity of the well. MPD thus serves as a robust contingency against weather-induced delays, optimizing operational efficiency and bolstering the effectiveness of offshore drilling endeavors. This paper introduces various nonlinear control techniques, notably Sliding Mode Control (SMC) and Super-Twisting Sliding Mode Control (STSMC), with a specific emphasis on their application. The central objective is to utilize these controllers to effectively manage the choke valve and mitigate pressure fluctuations within the well. The controller gains underwent detailed refinement using a genetic algorithm, with a focus on minimizing the integral time absolute error (ITAE). The mathematical analysis involves using Lyapunov stability criteria to confirm that the introduced controllers are asymptotically stable. Additionally, comprehensive performance comparisons among the proposed control strategies were meticulously conducted using MATLAB/Simulink simulations. Moving beyond simulation, real-time validation involved an experimental setup integrating the capabilities of the C2000 Delfino with the MCU F28379D Launchpad.INDEX TERMS Manage Pressure Drilling, heave reduction, super twisting sliding mode control, controller-in-loop.

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“…It is not ideal to address disturbances by designing to the upper bound of the disturbance, as the system often exhibits chatter under this control strategy. Researchers have designed disturbance observers to estimate the upper bound of unknown disturbances (Wang et al, 2021;Xu et al, 2021;Badar et al, 2022;Ding et al, 2022). Xu et al (2020) designed a sliding mode surface based on the system error and applied a new estimation method to estimate unknown disturbances.…”

mentioning

confidence: 99%

Distributed secondary control of microgrids with unknown disturbances and non-linear dynamics

Zhao

et al. 2023

Front. Energy Res.

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In this paper, the voltage and frequency regulation of microgrid with unknown disturbances and non-linear dynamics was studied. The disturbance observer was designed and the sliding mode control (SMC) method was used to realize the secondary regulation of voltage and frequency. First, a distributed secondary control protocol was designed to reduce the communication burden between generators and to solve voltage and frequency deviations. Second, a consensus protocol for secondary control of voltage and frequency was designed, based on the idea of multi-agent consensus, to indirectly ensure that the voltage and frequency to be adjusted reach the reference values when the consensus is realized. In addition, considering unknown disturbances in the microgrid, a sliding mode control strategy, based on a disturbance observer, was designed to overcome the influence of disturbances and to reduce chatter. This SMC scheme ensured finite time accessibility of the sliding mode surface. This design provides sufficient conditions for voltage and frequency regulation. The effectiveness of this design scheme was verified through simulation.

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Hierarchical control of hybrid direct current microgrid with variable structure based sliding mode control and fuzzy energy management system

Cited by 11 publications

References 39 publications

Novel design and adaptive coordinated energy management of hybrid fuel‐cells/tidal/wind/PV array energy systems with battery storage for microgrids

Novel design and adaptive coordinated energy management of hybrid fuel‐cells/tidal/wind/PV array energy systems with battery storage for microgrids

Advance Optimized Nonlinear Control Strategies for Manage Pressure Drilling

Distributed secondary control of microgrids with unknown disturbances and non-linear dynamics

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