A Robust Controller for Battery Energy Storage System of an Islanded AC Microgrid

Som, Shreyasi; De, Souradip; Chakrabarti, Saikat; Sahoo, Soumya Ranjan; Ghosh, Arindam

doi:10.1109/tii.2021.3057516

“…With that in mind, the accuracy of the recovery and rate capacity effects, for the accurate SoC tracking (𝑉 − 𝐼 characteristics curve) has improved in [72]. In [68], a DC-link state-space dynamic model is developed considering SoC, DClink voltage, and output current. Then, a 𝜇 −synthesis robust controller is proposed to stabilize DC link-voltage against parametric/linearization uncertainties (i.e., duty cycle, SoC, output current, DC voltage) whenever the ac side power increases rapidly to provide primary frequency responses.…”

Section: ) Dynamic Modeling Of Bess Soc For Dc-link Stability Analysismentioning

confidence: 99%

“…Nevertheless, after establishing the suitable models, BESSs would be beneficial to improve the system performance, e.g., by compensating asymmetrical faults components [192]. The critical point in the transient study is the SoC estimation and DC-link performance [68] that demand more investigation for large transients.…”

Section: Future Trendmentioning

confidence: 99%

Battery Energy Storage Systems (BESSs) and the Economy-Dynamics of Microgrids: Review, Analysis, and Classification for Standardization of BESSs Applications

Eskandari¹,

Rajabi²,

Savkin³

et al. 2022

Preprint

0

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The literature on microgrid (MG) studies can be categorized as those that investigated the dynamics or economics of MG systems. Due to the important roles of battery energy storage systems (BESSs) in MGs, the BESSs have been involved in both economics and dynamics studies but mostly separately due to the different time constants of studies. Whereas, in the complicated modern MGs, the BESS is the joint point that bridges these two studies. Thus, studying merely one aspect of economy-dynamic without considering the other aspect would not be accurate. To bridge this gap, this paper reviews, analysis and classifies the BESSs applications, based on their time constants, by merging of which helps researchers to develop joint economy-dynamics models that would be the future trend in the field. The classified BESS applications are 1) inertia synthesis, 2) primary frequency response to compensate slow response time of micro-sources (MSs) for load tracking, 3) real-time energy management for the integration of intermittent renewables, 4) economic dispatch and optimal power flow for improving steady-state performance, and 5) slack bus realization. The research gaps and future trends have been discussed throughout the paper and are summarized in the future trend section.

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“…The SoC modeling and estimation can be performed using a hybrid model of the BESS. Without considering the dc-ac inverter, the hybrid model consists of two parts: 1) nonlinear charging profile for SoC estimation [58], and 2) equivalent electrical circuit (RC) model for deriving the 𝑉 − 𝐼 characteristics curve at the DC side [59]. This hybrid model is vital from the dynamic/transient study point of view for estimating the DC-link dynamics [60] and SoC management [61].…”

Section: ) Dynamic Modeling Of Bess Soc For Dc-link Stability Analysismentioning

confidence: 99%

“…With that in mind, the accuracy of the recovery and rate capacity effects, for the accurate SoC tracking (𝑉 − 𝐼 characteristics curve) has been improved in [62]. In [58], an 𝜇 −synthesis robust controller is proposed to stabilize DC linkvoltage against uncertainties (i.e., duty cycle, SoC, output current, DC voltage) whenever the ac side power increases rapidly to provide primary frequency responses. Similarly, [63] uses the RC model to develop a robust voltage-frequency controller in photovoltaic (PV)-BESS microgrids.…”

Section: ) Dynamic Modeling Of Bess Soc For Dc-link Stability Analysismentioning

confidence: 99%

See 1 more Smart Citation

Battery Energy Storage Systems (BESSs) and the Economy-Dynamics of Microgrids: Review, Analysis, and Classification for Standardization of BESSs Applications

Eskandari¹,

Rajabi²,

Savkin³

et al. 2021

Preprint

0

View full text Add to dashboard Cite

The literature on microgrid (MG) studies can be categorized as those that investigated the dynamics or economics of MG systems. Due to the important roles of battery energy storage systems (BESSs) in MGs, the BESSs have been involved in both economics and dynamics studies but mostly separately due to the different time constants of studies. Whereas, in the complicated modern MGs, the BESS is the joint point that bridges these two studies. Thus, studying merely one aspect of economy-dynamic without considering the other aspect would not be accurate. To bridge this gap, this paper reviews, analysis and classifies the BESSs applications, based on their time constants, by merging of which helps researchers to develop joint economy-dynamics models that would be the future trend in the field. The classified BESS applications are 1) inertia synthesis, 2) primary frequency response to compensate slow response time of micro-sources (MSs) for load tracking, 3) real-time energy management for the integration of intermittent renewables, 4) economic dispatch and optimal power flow for improving steady-state performance, and 5) slack bus realization. The research gaps and future trends have been discussed throughout the paper and are summarized in the future trend section.

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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

Bhattacharjee

¹

,

Samanta

²

,

Ghosh

³

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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A Robust Controller for Battery Energy Storage System of an Islanded AC Microgrid

Cited by 25 publications

References 31 publications

Battery Energy Storage Systems (BESSs) and the Economy-Dynamics of Microgrids: Review, Analysis, and Classification for Standardization of BESSs Applications

Battery Energy Storage Systems (BESSs) and the Economy-Dynamics of Microgrids: Review, Analysis, and Classification for Standardization of BESSs Applications

Battery Energy Storage Systems (BESSs) and the Economy-Dynamics of Microgrids: Review, Analysis, and Classification for Standardization of BESSs Applications

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

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