Control of Hybrid Wind–Diesel Standalone Microgrid for Water Treatment System Application

Dubuisson, F.; Rezkallah, Miloud; Chandra, Ambrish; Saad, Maarouf; Tremblay, M.; Ibrahim, Hussein

doi:10.1109/tia.2019.2938727

Cited by 22 publications

(4 citation statements)

References 20 publications

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“…represents the dynamic coupling between the two subsystems (control loops). Inserting S into Equation (37) results in:…”

Section: F I G U R E 2 Block Diagram Of the Coupled Wind Turbine And ...mentioning

confidence: 99%

“…Wang et al 36 presented a double equivalent‐input‐disturbance (EID)‐based controller to control the frequency of a wind‐diesel islanded microgrid. Dubuisson et al 37 proposed an improved control scheme based on the synchronous reference frame (SRF) technique to control the three‐phase voltage source inverter for efficient operation of a diesel generator. Dahiya et al 38 tackled the problem of load‐frequency control of a 2‐area interconnected power system by using a sliding mode control strategy which is tuned by hybridized gravitational search algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Optimal decentralized control of a wind turbine and diesel generator system

Shojaee

Azizi

2021

Optim Control Appl Methods

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This article presents a decentralized optimal controller design technique for the frequency and power control of a coupled wind turbine and diesel generator. The decentralized controller consists of two proportional‐integral (PI)‐lead controllers which are designed and optimized simultaneously using a quasi‐Newton based optimization technique, namely, Davidon–Fletcher–Powell algorithm. The optimal PI‐lead controllers are designed in such a way that there are no communication links between them. Simulation results show the superior performance of the proposed controller with a lower order structure compared to the benchmark decentralized linear‐quadratic Gaussian integral controllers of orders 4 and 11. It is also shown that the proposed controller demonstrates an effective performance in damping the disturbances from load and wind power, as well as a robust performance against the parameter changes of the power system.

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“…represents the dynamic coupling between the two subsystems (control loops). Inserting S into Equation (37) results in:…”

Section: F I G U R E 2 Block Diagram Of the Coupled Wind Turbine And ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal decentralized control of a wind turbine and diesel generator system

Shojaee

Azizi

2021

Optim Control Appl Methods

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“…For the power quality, the measured load current (I load ) and PCC voltage (V pcc ) are transformed into complex quantities using the Clark transformation (1). Then, the instantaneous active and reactive power are computed using (2). The active power is obtained based on an average (p) and an oscillating component ( p) which contains the harmonics.…”

Section: Inverter Reference Current Estimationmentioning

confidence: 99%

“…On the other hand, isolated areas often have a large potential for renewable energy sources (RES) such as solar and wind. Generally, the integration of RES in these isolated microgrids allows to decrease the operation cost as well as increase the reliability and efficiency of the system [2,3]. The RES are stochastic, so battery energy system (BES) is suggested to compensate for their intermittent properties.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Implementation of the Predictive-Based Control with Bacterial Foraging Optimization Technique for Power Management in Standalone Microgrid Application

et al. 2021

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In this paper, the predictive-based control with bacterial foraging optimization technique for power management in a standalone microgrid is studied and implemented. The heuristic optimization method based on the social foraging behavior of Escherichia coli bacteria is employed to determine the power references from the non-renewable energy sources and loads of the proposed configuration, which consists of a fixed speed diesel generator and battery storage system (BES). The two-stage configuration is controlled to maintain the DC-link voltage constant, regulate the AC voltage and frequency, and improve the power quality, simultaneously. For these tasks, on the AC side, the obtained power references are used as input signals to the predictive-based control. With the help of the system parameters, the predictive-based control computes all possible states of the system on the next sampling time and compares them with the estimated power references obtained using the bacterial foraging optimization (BFO) technique to get the inverter current reference. For the DC side, the same concept based on the predictive approach is employed to control the DC-DC buck-boost converter by regulating the DC-link voltage using the forward Euler method to generate the discrete-time model to predict in real-time the BES current. The proposed control strategies are evaluated using simulation results obtained with Matlab/Simulink in presence of different types of loads, as well as experimental results obtained with a small-scale microgrid.

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