MPP tracking of PV based low voltage DC microgrid system with adaptive droop algorithm
14 Jun 2015-pp 1-4
TL;DR: This paper proposes an adaptive droop based MPP tracking and load sharing of PV based dc microgrid with proportional droop index (PDI) algorithm, which is a function of normalized current sharing difference and losses in the output side of the converters.
Abstract: Several control methods are available in the literature for maximum power point (MPP) tracking, load sharing etc. in a photovoltaic (PV) based microgrid system. This paper proposes an adaptive droop based MPP tracking and load sharing of PV based dc microgrid. For this, proportional droop index (PDI) algorithm is introduced, which is a function of normalized current sharing difference and losses in the output side of the converters. This proposed control method calculates adaptive virtual resistance Rdroop, and allows the converter to operate at MPP. By fine tuning Rdroop values, the proposed method also eliminates poor voltage regulation issues of the conventional droop method. The detailed analysis and design procedure are explained and the effectiveness of proposed method is verified by detailed simulation analysis.
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TL;DR: A decentralized coordination control strategy that applies the droop concept to cooperate multiple PV sources in a dc microgrid and enables PV sources to regulate the dc bus voltage and share their output power in an expected proportion is developed.
Abstract: DC microgrids provide a coordinated paradigm to facilitate the penetration of photovoltaic (PV) sources due to their direct current essence. Along with the sustained growth of PV penetration, there is an increasing demand on PV sources to participate in dc bus voltage regulating, especially in small-sized or islanded dc microgrids. This paper develops a decentralized coordination control strategy that applies $V$ – $I$ droop concept to cooperate multiple PV sources in a dc microgrid. The proposed method enables PV sources to regulate the dc bus voltage and share their output power in an expected proportion. Furthermore, the maximum power point tracking (MPPT) function is unified in the suggested control method with a $dp/dv$ regulator, which means multiple PV sources can work in the MPPT mode when they are grid-connected or shift with load demands in an coordinated way while keeping the dc bus voltage without switching the control configuration. Hardware-in-loop tests for different scenarios are conducted to validate the feasibility and effectiveness of the proposed control strategy.
41 citations
Cites methods from "MPP tracking of PV based low voltag..."
...propose a modified droop algorithm for control of a PV-based low-voltage dc microgrid system [17], [18]....
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01 Nov 2019
TL;DR: The integrated MPPT algorithm with droop control algorithm based on modified P&O algorithm operates the system not only in power sharing mode but also in MPPT mode to obtain the maximum power.
Abstract: Ensuring a proportional power sharing algorithm for parallel connected sources in a microgrid system makes them more efficient and prevents their overloading. For this purpose, the droop control technique is one of the widely used methods. However, this technique is generally insufficient to obtain maximum power from intermittent sources such as photovoltaic (PV) systems and wind turbines. Therefore, this paper presents the integration of MPPT algorithm with droop control algorithm of a PV system. Thus, the droop control method based on modified P&O algorithm operates the system not only in power sharing mode but also in MPPT mode to obtain the maximum power. The developed algorithm is compared with conventional droop control methods and satisfying results are obtained.
8 citations
Cites methods from "MPP tracking of PV based low voltag..."
...Droop control methods have been also integrated with MPPT algorithms to increase the efficiency of intermittent energy sources like PVs and wind turbines [8,14,15,16]....
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28 Sep 2020
TL;DR: In this paper, an adaptive droop control algorithm based on the existing source converted as the reference current for operating the converters to meet the demand is presented, where the changes in the output potential of each converter are controlled and maintained constant throughout the operation of DC community grid and makes it stable.
Abstract: The coordinated and efficient operation of Solar PV system combined with battery storage systems makes a standalone DC Community Grid stable and reliable. The accurate power sharing between the distributed renewable energy sources of a DC community grid according to the available source and load demand is managed through droop control algorithm and droop resistance adaptable to the variations in the sources (Uncertainties in Solar Power). This paper presents an adaptive droop control algorithm developed based on the existing source converted as the reference current for operating the converters to meet the demand. The changes in the output potential of each converter is controlled and is maintained constant throughout the operation of DC community grid and makes it stable. The proposed control algorithm is implemented to the system individually to make it a communication less control. The adaptive droop control algorithm relies on the local measurement data from each converter like, output voltage, current, rated load current and DC Bus voltage. The control strategy is applied to a simple DC microgrid representing a local community grid with solar PV as the source and battery as the support system on standalone mode of operation developed using MATLAB-Simulink® and is validated for three different power sharing scenarios.
Cites methods from "MPP tracking of PV based low voltag..."
...The boost converter generates a constant output voltage by adopting Proportional Integral based control algorithm to generate PWM signals for triggering the converters [10]....
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