Abstract
This paper proposes an adaptive droop gain-based consensus approach for reactive power sharing in microgrids (MGs) with the event triggered communication protocol (ETCP). A multi-agent system-based network is constructed to establish the communication with distributed generators (DGs) in MGs. An ETCP is proposed to reduce the communication among agents to save resources and improve system reliability, as the communication is only needed when the event triggered condition is fulfilled. A stability analysis is conducted to guarantee the existence of the equilibrium point and the freeness of the Zeno solution. Moreover, an adaptive droop gain is designed to reduce the impact of imbalanced feeder impedances. Four case studies are conducted to verify the effectiveness and performance of the proposed method. The simulation results show that the ETCP-based approach is capable of achieving power sharing consensus, communication reduction and shifting the information exchange mode based on the operation scenarios.
Highlights
The propagation of renewable energy resources around the world has brought about new challenges for electrical energy communities in the course of the harvesting, integration and consumption of those unlimited but unstable energy sources
This paper proposes an event triggered communication protocol (ETCP) based consensus control for reactive power sharing in MGs
One of the key control missions is to command the distributed generators (DGs) to share the load demand based on their power ratings
Summary
The propagation of renewable energy resources around the world has brought about new challenges for electrical energy communities in the course of the harvesting, integration and consumption of those unlimited but unstable energy sources. In [16], a distributed coordinated controller assisted by a MAS-based consensus algorithm is proposed to keep the voltage angles and the amplitudes of the DGs to achieve accurate power sharing; in [17], the authors analyzed the existence of the synchronized solution of networked inverters in MGs, and presented a distributed integral controller with the averaging algorithms to regulate the system frequency; in [18], the authors proposed a modelling method of the DC MG with a discrete-time approach, and a sensitivity analysis is conducted to evaluate the effects of the consensus algorithm, which suggests that the convergence of the consensus algorithm significantly impact the deviation of the power sharing scheme; in [19], a consensus-based droop control assisted by sparse communication is proposed to overcome the problem of inaccurate reactive power sharing caused by non-uniform line impedances.
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