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Energies 2018, 11(1), 24;

Distributed Variable Droop Curve Control Strategies in Smart Microgrid

School of Electrical Engineering, Wuhan University, Wuhan 430072, Hubei, China
Author to whom correspondence should be addressed.
Received: 19 October 2017 / Revised: 15 December 2017 / Accepted: 15 December 2017 / Published: 22 December 2017
(This article belongs to the Special Issue Advanced Operation and Control of Smart Microgrids)
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In micro grid (MG), active/reactive power sharing for all dis-patchable units is an important issue. To meet fluctuating loads’ active and reactive power demands, the units generally adopt primary P-f and Q-U droop control methods. However, at different state of charge (SOC) values, the capability of Lead Acid Battery Bank (LABB) based units to take loads varies in a large range; active power should not be shared according to the units P capacities in a constant ratio. Besides, influenced by the output and line impedance between units, reactive power is not able to be shared in proportion to the units Q capacities. Another problem, after MG power balance requirement is satisfied, frequency and voltage are deviating from their rated values thus power quality is reduced. This paper presents a new smart MG which is based on the multi agent system. To solve the problems mentioned above, P-f and Q-U droop curves are adjusted dynamically and autonomously in local agents. To improve the power quality, secondary restoration function is realized in a decentralized way, the computation tasks are assigned to local, the computation capability and communication reliability requirements for central PC are low, and operation reliability is high. Simulation results back the proposed methods. View Full-Text
Keywords: Smart MG; multi agent; variable (static and dynamic) droop curve; power sharing; distributed secondary control Smart MG; multi agent; variable (static and dynamic) droop curve; power sharing; distributed secondary control

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Deng, C.; Chen, Y.; Tan, J.; Xia, P.; Liang, N.; Yao, W.; Zhang, Y.-A. Distributed Variable Droop Curve Control Strategies in Smart Microgrid. Energies 2018, 11, 24.

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