Control of Wind-Diesel Microgrid Using Affine Projection-Like Algorithm

Pathak, Geeta; Singh, Bhim; Panigrahi, Bijaya Ketan

doi:10.1109/tii.2016.2518643

Cited by 30 publications

(22 citation statements)

References 24 publications

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“…Instantaneous P-Q theory for reactive power management is presented in [24]. RPA (Reactive power allocation) tactic founded on phasor analysis for P-Q management is specified in [25]. In addition to reactive power management, harmonic management using droop control is presented in [26].…”

Section: Reactive Power Management Techniques In Renewable Energymentioning

confidence: 99%

A Probe into Reactive Power Management in Renewable Energy System using Facts Devices

Baby*¹,

Jayakumar²

2019

IJITEE

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In the modern era, most of the utility grid is connected with Renewable Energy resources (RERs). In addition to this, many power electronic converters and reactive power compensating devices are also incorporated into the existing grid. This makes the system complicated. Penetration of renewable energy resources affect many power system parameters like grid stability, quality of power, reactive power balance and Sufficient energy utilization. However, the Distributed Generation (DG) towards the power electronic interface creates some critical power quality events such as reactive power management, harmonics and voltage profile which makes the distributed system become a polluted one. This paper depicts the review of modelling and incorporation of various reactive power compensating devices like TCSC, SVC and STATCOM into RES. Power generation model of solar, wind and fuel farm is discussed in this paper. Reactive power compensating devices and its location and sizing are important for the stable and secure operation of the electric grid. Consequently, power quality issues, real-time interconnection issues and policies related to reactive power management are in this paper.

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Section: Reactive Power Management Techniques In Renewable Energymentioning

confidence: 99%

A Probe into Reactive Power Management in Renewable Energy System using Facts Devices

Baby*¹,

Jayakumar²

2019

IJITEE

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“…The storage battery addresses the intermittent behaviour of solar and wind. Pathak et al [9] and Verma and Singh [10] have discussed the importance of storage battery in the standalone MDG system, by integrating the storage battery at the DC link of the MDG system. Due to the direct connection of the storage battery at DC link, a storage battery of higher voltage is used, which requires the series connection of large number of cells.…”

Section: Introductionmentioning

confidence: 99%

Modified amplitude adaptive control algorithm for power quality improvement in multiple distributed generation system

Kewat

Singh

2019

IET Power Electronics

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This study deals with the modified amplitude adaptive notch filter (AANF)-based control algorithm for managing the generated power from different energy sources in an autonomous microgrid. In this study, the autonomous microgrid consists of a wind energy conversion system, photovoltaic array and a storage battery. The main objective of the proposed modified AANF (MAANF)-based control algorithm is to control the flow of active and reactive powers among the different energy sources and the load, along with the regulation of the point of common coupling (PCC) voltages and mitigation of the source current harmonics. The advanced features of proposed control algorithm are the DC-offset rejection from the input signal and fast frequency estimation, which enable the MAANF control algorithm to rapidly and accurately estimate the fundamental components of the distorted load currents. Therefore, the estimated reference source currents remain immune to the DC offset and various harmonic currents. The active power balance is achieved by regulating the DC-link voltage using a bidirectional DC-DC converter, which is connected between the DC link of the voltage source converter and a storage battery. Test results have validated the control algorithm under various steady-state and dynamic operating conditions.

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“…The adaptive control approach can adjust its parameters according to variations in the system dynamics following a disturbance [21]. Based on adaptive control, several control techniques such as adaptive recursive inverse [22], a modified multi-frequency passivity-based control for shunt filter [23], neural network-based adaptive control approach [24], frequency-adaptive fractional-order repetitive control [25], combined least mean square (LMS)-based techniques such as LMS-least mean fourth [26], affine projection-like algorithm [27], and eco state networkbased control techniques [28] have been reported.…”

Section: Introductionmentioning

confidence: 99%