A Cooperative Adaptive Droop Based Energy Management and Optimal Voltage Regulation Scheme for DC Microgrids

This paper presents an adaptive droop based cooperative energy management scheme for a photovoltaic (PV) battery based autonomous dc microgrid. To overcome the basic challenges in managing multiple batteries in a distributed DC network, a cooperative cyber network is employed to formulate an enhance...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2020-04, Vol.67 (4), p.2894-2904
Main Authors: Sahoo, Subham, Mishra, Sukumar, Jha, Shatakshi, Singh, Bhim
Format: Article
Language:English
Subjects:
Adaptive control
Batteries
Charging
Control
Control stability
Cooperative control
dc microgrids
Delay
Delays
Distributed generation
Electric potential
Electric power grids
energy balancing
Energy management
Energy storage
Field programmable gate arrays
Maximum power point trackers
Maximum power tracking
Microgrids
optimal voltage control
Photovoltaic cells
Stability analysis
State of charge
Storage systems
Strategy
Systems stability
Voltage
Voltage control
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Summary:This paper presents an adaptive droop based cooperative energy management scheme for a photovoltaic (PV) battery based autonomous dc microgrid. To overcome the basic challenges in managing multiple batteries in a distributed DC network, a cooperative cyber network is employed to formulate an enhanced adaptive droop control philosophy. With PV panels operating as a constant power source at maximum power point tracking (MPPT), battery energy storage systems cooperate among themselves to balance state-of-charge (SoC) between them and undergo constant voltage (CV) charging mode when the condition arises, which is handled using the proposed adaptive droop concept. Further emphasis is given on optimal voltage regulation to induce robustness against time-delay as compared to the conventional voltage observers, which cause high observing error. Moreover, the design criteria of the proposed strategy is provided to ensure system stability under normal and time-delayed conditions. The proposed control strategy is simulated in MATLAB/SIMULINK environment to demonstrate SoC balancing, CV charging albeit various communication issues such as delay and multiple link failure. The proposed strategy is further tested on an field-programmable gate array (FPGA)-based experimental prototype to validate the effectiveness of the proposed strategy.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2019.2910037