Measurement-Based Estimation of Inertia in AC Microgrids

Phurailatpam, Chitaranjan; Rather, Zakir Hussain; Bahrani, Behrooz; Doolla, Suryanarayana

doi:10.1109/tste.2019.2948224

Cited by 96 publications

(33 citation statements)

References 29 publications

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“…The HEV charging station of locality is considered as the DRS unit in this work for contract-based DSM as modelled in Figure 3d. Net power to be activated by each DRS unit of ith microgrid at any instance (∆P DRi ) could be assessed by the strategy (9) [12,13] considering the change in maximum available DRS (∆P DRMi ) in ith microgrids estimated by (10) based on DRS contract with the charging station of HEV [17,18]. The range of maximum frequency regulation is decided by the utility, and this work considered, ∆f m = 0.05 Hz, where the tie-line loading coefficients (L DRi ) for DRS are proportional controller gains and tuned with optimization techniques [17,18].…”

Section: Demand Response Support Systemmentioning

confidence: 99%

“…An extended virtual synchronous generator is proposed for load frequency control (LFC) of microgrids [9]. The inertia of AC microgrid with renewable penetrations is estimated by frequency response measurement using curve-fitting method in [10]. Most of the similar literature have designed VSG with energy storage system (ESS) and fast-acting bidirectional converter to improve the inertia and damping effect of microgrids.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Voltage–Frequency Regulation in Distributed Sustainable Energy-Based Hybrid Microgrids with Integrated Resource Planning

et al. 2021

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This work is the earliest attempt to propose an integrated resource planning for distributed hybrid microgrids considering virtual-inertia support (VIS) and demand-response support (DRS) systems. Initially, three-distributed sustainable energy-based unequal hybrid microgrids are envisioned with the availability of solar/wind/bioenergy resources. In order to overcome the effects of intermittency in renewable resources and low inertia, each microgrid is incorporated with DRS and VIS units for demand- and supply-side management, respectively. The proposed system is simulated in MATLAB considering real-time recorded solar/wind data with realistic loading for 12 months. A novel quasi-oppositional chaotic selfish-herd optimization (QCSHO) algorithm is proposed by hybridizing quasi-opposition-based learning and chaotic linear search techniques into the selfish-herd optimization, for optimal regulation of voltage and frequency in microgrids. Then, the system responses are compared with 7 algorithms and 5 error functions to tune PID controllers’ gains, which confirmed the superiority of QCSHO over others. Then, the study proceeds to investigate the voltage, frequency, and tie-line power coordination in 5 extreme scenarios of source and load variations in the proposed system without retuning the controllers. Finally, the system responses are analyzed for 10 different possible allocation of VIS and DRS units in different microgrids to find the most suitable combinations, and the results are recorded.

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Section: Demand Response Support Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Voltage–Frequency Regulation in Distributed Sustainable Energy-Based Hybrid Microgrids with Integrated Resource Planning

et al. 2021

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“…A disturbance observer based method is given in [27] for inertia improvement. In [28], estimation of inertia in AC microgrid is determined. However, in these methods an extra source, reserve ESS, or load curtailment is required to provide inertia.…”

Section: A State Of the Artmentioning

confidence: 99%

Improved Dynamic Response of DC Microgrid Under Transient Condition Using Inertia by Virtual Generation

Deshmukh

Ballal

2021

IEEE Access

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This article proposes new control architecture to improve the dynamic performance of DC microgrid by enhancing system inertia. The DC microgrids are gaining more importance due to the controlled and combined operation of multiple distributed energy resources (DERs). The DC microgrid is dominated by controlled power electronics converters. These converters are not having inbuilt inertia like rotating generators. Therefore, the DC microgrid has a fast rate of change of bus voltage under fluctuations of load, change in available power capacity of sources due to their randomness, etc. This affects the voltage profile and stability of the system under dynamic variation. The proposed closed loop control scheme estimates the amount of inertia required in the DC microgrid to minimize the voltage variation. The new power references are given to sources based on virtual generation to improve the inertia in the system. The proposed control scheme maintains the stability of DC microgrid. It also achieves effective power management based on available power in DERs with minimum burden on the energy storage system (ESS). The bus voltages are regulated at reference value. The stability analysis of the system is carried out for DC microgrid under different operating conditions. The proposed control method is tested experimentally under diverse operating conditions.INDEX TERMS DC microgrid, inertia, power management, transient stability, virtual generation.

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“…The swing equation is the basis of most estimates of power system inertia, with [16] providing a good example; however this analysis uses simulated data with a very low noise component. When dealing with real data it is common to employ filters, such as those discussed in [13] - [15].…”

Section: Introductionmentioning

confidence: 99%

Power System Inertia Estimation Using HVDC Power Perturbations

Best

Brogan

Morrow

2021

IEEE Trans. Power Syst.

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This paper describes a power system inertia estimation method that utilizes power perturbations caused by the flow switch on an HVDC interconnector. The analysis is performed using real power system measurements from Ireland's all-island power system. The method employs an energy based estimation technique which permits a non-step power change to be used for inertia calculation and encapsulates the challenges associated with the use of real data. While it is shown that synchronous generators account for most of the power system inertia, other contributors are also investigated, namely power station auxiliary load, distributed generation and power system demand. Time-of-day and wind related effects on Ireland's power system inertia are explored. Recommendations are made for the practical implementation of the method.

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Measurement-Based Estimation of Inertia in AC Microgrids

Cited by 96 publications

References 29 publications

Optimal Voltage–Frequency Regulation in Distributed Sustainable Energy-Based Hybrid Microgrids with Integrated Resource Planning

Optimal Voltage–Frequency Regulation in Distributed Sustainable Energy-Based Hybrid Microgrids with Integrated Resource Planning

Improved Dynamic Response of DC Microgrid Under Transient Condition Using Inertia by Virtual Generation

Power System Inertia Estimation Using HVDC Power Perturbations

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