ANFIS-Based Droop Control of an AC Microgrid System: Considering Intake of Water Treatment Plant

Rohmingtluanga, C.; Datta, Subir; Sinha, Nidul; Ustun, Taha Selim; Kalam, Akhtar

doi:10.3390/en15197442

Cited by 2 publications

(2 citation statements)

References 56 publications

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“…It is should be noting that developing both OWF and WEF energies require different controlling and protecting schemes which provide several issues through microgrid dynamic security. In this case, due to large amounts of RES powers, there are a set of HVDC links required between the renewable energy resources and the electrical power network [3].…”

Section: A Challengementioning

confidence: 99%

Adaptive Neuro-Fuzzy Damping Controller of Grid-Connected Microgrid Hybrid System Integrating Wind Farms and Batteries

Habibi,

Yousefi,

Shirazi

et al. 2024

IEEE Access

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Renewable energies equipped with LIRs as wind turbines and photovoltaic arrays provide negative impacts on power system dynamic securities. For this issue, developing adaptive controlling strategies play important role on controlling the system dynamic oscillations. In this paper, based on HVDC link, an ANFDC damping controller is proposed for controlling the system dynamic behavior through different LIRs. To do this, a fuzzy linguistic role proposed for tuning ANFDC parameters which the input dynamic signals are transferred into linguistic variables through offline working mode. Then, considering microgrid consists of different LIRs as offshore and onshore WTs, PVs and SSSGs integrated with together, ANFDC is trained which then in online working mode, the system damping performances through different operational and technological structures are evaluated. The proposed scheme is an online and non-modelbased controller which uses the advantages of both neural and fuzzy logics together for providing a fast and secure structure of damping controller through online evaluations. The merit and effectiveness of the proposed approach investigated on a grid-connected microgrid consisting of PV, WT and SSSG connected in an incorporated HVDC link which considering different short circuit faults, damping performances are evaluated. Results indicate effectiveness of the proposed scheme for damping dynamic oscillations of LIRs with high damping ratios subject against severe fault events.

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Section: A Challengementioning

confidence: 99%

Adaptive Neuro-Fuzzy Damping Controller of Grid-Connected Microgrid Hybrid System Integrating Wind Farms and Batteries

Habibi,

Yousefi,

Shirazi

et al. 2024

IEEE Access

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“…In some cases, industrial plants such as water treatment facilities may not be connected to the main electrical grid and must rely on conventional Diesel Engine Generators (DEG) during power outages (Rohmingtluanga et al, 2022;Rohmingtluanga et al, 2023). However, the use of DEG alone is known to be expensive and contribute to greenhouse gas emissions.…”

Section: Introductionmentioning

confidence: 99%

Enhanced harris hawks optimization based load frequency control of multi area microgrid based water treatment plant with consideration of 3DOF-(FO-PIDN)/(TIDN) controller

Rohmingtluanga,

Datta,

Sinha

et al. 2024

Front. Energy Res.

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Municipal water supply system (WSS) consist of different pumping stages viz. intake, water treatment plant (WTP) and intermediate pumping station (IPS). Usually, the power supply for WSS is obtained through public power tapping sources. However, this often leads to load shedding and disruption of the water supply. This paper focuses on the concept, considering WSS as a multi-source multi-area microgrid scheme, this includes renewable energy sources (RES) such as solar, wind, etc. Moreover, the study incorporates a Battery Energy Storage System (BESS) and a Diesel Engine Generator (DEG) to provide power supply during peak demand at each pumping station. Frequency control is essential for optimizing system performance. This paper proposes Enhanced Harris Hawks Optimization Algorithm (EHHO) based PID controller for regulating the frequency in the multi-microgrid-based water supply system. The proposed controller is implemented in MATLAB simulation software, and its response is compared with other optimization methods such as Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO). Moreover, implementation and comparison of higher degree order controller such as 3DOF-FOPIDN controller and 3DOF-TIDN controllers are tested under PSO method to observe the performance as well as robustness of the controller. The results indicate that the proposed controller provides better performance in controlling the load frequency deviation, thus improving the efficiency and reliability of the multi-microgrid system for consideration of municipal water supply.

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ANFIS-Based Droop Control of an AC Microgrid System: Considering Intake of Water Treatment Plant

Cited by 2 publications

References 56 publications

Adaptive Neuro-Fuzzy Damping Controller of Grid-Connected Microgrid Hybrid System Integrating Wind Farms and Batteries

Adaptive Neuro-Fuzzy Damping Controller of Grid-Connected Microgrid Hybrid System Integrating Wind Farms and Batteries

Enhanced harris hawks optimization based load frequency control of multi area microgrid based water treatment plant with consideration of 3DOF-(FO-PIDN)/(TIDN) controller

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