Efficient and seamless power management of hybrid generation system based-on DFIG wind sources and microturbine in DC microgrid

Akhbari, Allahyar; Rahimi, Mohsen; Khooban, Mohammad Hassan

doi:10.1016/j.segan.2020.100367

Cited by 7 publications

(10 citation statements)

References 32 publications

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“…DC power generated from a solar PV source is expressed by Akhbari et al [ 29 ]

P_{pv_dc} = I_{n_eff} * η_{normalg} * A_{normals}

where

I_{n_eff}

is the incident effective irradiance (W m −2 );

η_{normalg}

is the solar PV source efficiency; and

A_{normals}

is the solar PV source effective surface area (m 2 ). At standard test condition (STC), the peak power generated by solar PV array is expressed by

P_{pv_peak} = I_{n}^{*} * η_{normalg}^{*} * A_{normals}

where

P_{pv_peak}

is the peak DC power generated from the solar PV array (W);…”

Section: Proposed Methodologymentioning

confidence: 99%

“…The economic and environmental scheduling in microgrids was addressed by Akhbari and coworkers. [ 29–31 ] Considering the aforementioned research and development reports in the area of microgrid operation and applications, the optimized sizing and integration of distributed renewable energy sources with proper BESS are necessary to ensure seamless power supply at the consumer end even under weak or no grid scenario. In addition, there are only a few research reports on energy management of a holistic combination of biomass‐based power plants integrated with solar, wind, and BESS to form a hybrid microgrid.…”

Section: Introductionmentioning

confidence: 99%

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Optimized Integration of Hybrid Renewable Sources with Long‐Life Battery Energy Storage in Microgrids for Peak Power Shaving and Demand Side Management under Different Tariff Scenario

et al. 2021

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Herein, a novel cost‐effective demand side management and peak power shaving are demonstrated by optimized scheduling of renewable energy source integrated grid‐connected hybrid microgrid and vanadium redox flow battery (VRFB) storage. To promote the waste to energy for the rural and urban communities, the biogas energy source is integrated along with the combined solar photovoltaic (PV) and wind energy sources. As a long life and scalable battery storage solution, VRFB storage is adopted for peak shaving and microgrid performance reliability. Power generation from the renewable sources, VRFB charge–discharge, and grid power usage are scheduled considering two practical electricity tariff profiles, thus making the overall microgrid system operation cost‐effective and efficient. The optimized cost of energy management is determined considering the operation and maintenance cost of energy source and battery storage, grid tariff profile, and power import and export. The performance of the overall control scheme is experimentally validated by a grid‐connected hybrid microgrid consisting of 10 kWp solar PV, 1 kW wind turbine, 15 kVA biogas engine generator, and 1 kW 6 h VRFB storage. The proposed energy management scheme is scalable and a generalized one that claims to be suitable for large‐scale renewable energy integrated power systems as well.

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“…DC power generated from a solar PV source is expressed by Akhbari et al [ 29 ]

P_{pv_dc} = I_{n_eff} * η_{normalg} * A_{normals}

where

I_{n_eff}

is the incident effective irradiance (W m −2 );

η_{normalg}

is the solar PV source efficiency; and

A_{normals}

is the solar PV source effective surface area (m 2 ). At standard test condition (STC), the peak power generated by solar PV array is expressed by

P_{pv_peak} = I_{n}^{*} * η_{normalg}^{*} * A_{normals}

where

P_{pv_peak}

is the peak DC power generated from the solar PV array (W);…”

Section: Proposed Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimized Integration of Hybrid Renewable Sources with Long‐Life Battery Energy Storage in Microgrids for Peak Power Shaving and Demand Side Management under Different Tariff Scenario

et al. 2021

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show abstract

“…In addition, k p−i rdq and k i−i rdq are proportional and integral gains of the PI controller. By employing the magnitude optimum method [34] for designing the PI controller, it can be concluded…”

Section: The Dfig Modelling and Rotor Current Controlmentioning

confidence: 99%

“…In addition,

{k_{{\rm{p}} - {i_{{\rm{rdq}}}}}}

and

{k_{{\rm{i}} - {i_{{\rm{rdq}}}}}}

are proportional and integral gains of the PI controller. By employing the magnitude optimum method [34] for designing the PI controller, it can be concluded that

{k_{{\rm{p}} - {i_{{\rm{rdq}}}}}} = \frac{{{{L^{\prime}}_{\rm{r}}}}}{{2{T_{\rm{d}}}}}

and

{k_{{\rm{i}} - {i_{{\rm{rdq}}}}}} = \frac{{{{R^{\prime}}_{\rm{r}}}}}{{2{T_{\rm{d}}}}}

.…”

Section: The Configuration Of the Dfig‐wt Connected To The DC Gridmentioning

confidence: 99%

Direct current grid‐based doubly‐fed induction generator wind turbines: Real‐time control and stability analysis

Akhbari

Rahimi

Khooban

2022

IET Power Electronics

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Commonly, a simple topology consisting of a single diode‐rectifier and pulse‐width‐modulation (PWM) converter is used for the connection of the doubly‐fed induction generator‐based wind turbines (DFIG‐WTs) to the DC grid, in which the rotor‐side converter (RSC) and the stator diode‐rectifier are linked to the common DC bus. But, this topology suffers from less flexibility due to the requirement of matching the stator nominal voltage with the DC grid. Hence, in this paper, a buck converter is added to the DFIG‐WT topology and two methods are proposed to control the power converters, where in the first one, the RSC regulates the active power and stator flux linkage, and in the second one, the RSC regulates the DC bus voltage and stator flux linkage. Then, the small‐signal stability and the performance of the DFIG‐WT system with the mentioned control strategies are compared analytically and through the off‐line simulations. At last, a real‐time hardware‐in‐the‐loop (HIL) emulation‐based OPAL‐RT is carried out to investigate the performance of the proposed control methods from a practical perspective.

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“…In this context, defining and designing required additional power supply for rotor magnetization is studied by several authors (Gayen, 2020;Maina et al, 2019). Other researchers investigate the management of start-up process to avoid high inrush current and mechanical stress (Akhbari et al, 2020;Raghavendran et al, 2019). Sam et al (2015) demonstrate the effectiveness of the hybrid excited stand-alone DFIG system under steady-state and dynamic operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Start-up system design for small scale autonomous DFIG wind turbine

2021

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Autonomous wind systems are becoming promising since they provide new and innovative solutions to non-electrified areas. Start-up procedures for this wind systems requires some care to ensure electricity availability, to ovoid overloads and to reduce electrical and mechanical stress that affect lifetime of system components. In this context, this paper deals with an enhanced start-up system for small scale autonomous wind systems based on doubly fed induction generator. With the proposed start-up system, transient magnetizing current value is maintained under rated rotor current value to ensure smooth start-up process. Start-up algorithm guarantees the reach of a stable system functioning. Suggested topology, that includes a supercapacitor as a supplementary source, can be disconnected once wind system boots. Predictive controllers are used to ensure fast response. An energy management system is developed to monitor power flow. Considered model and control strategy of each system component, as well as start-up process are presented. Simulation results prove the effectiveness of the proposed start-up system.

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Efficient and seamless power management of hybrid generation system based-on DFIG wind sources and microturbine in DC microgrid

Cited by 7 publications

References 32 publications

Optimized Integration of Hybrid Renewable Sources with Long‐Life Battery Energy Storage in Microgrids for Peak Power Shaving and Demand Side Management under Different Tariff Scenario

Optimized Integration of Hybrid Renewable Sources with Long‐Life Battery Energy Storage in Microgrids for Peak Power Shaving and Demand Side Management under Different Tariff Scenario

Direct current grid‐based doubly‐fed induction generator wind turbines: Real‐time control and stability analysis

Start-up system design for small scale autonomous DFIG wind turbine

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