Data-driven multi-inverter cooperative control for voltage tracking and current sharing in islanded AC microgrids

Abstract

A data-driven cooperative control scheme utilizing additional local and network sensor information is proposed for voltage tracking and current sharing under a cyber-physical system framework. An information-based inverter controller is developed as a replacement for the physical mechanism or model-based method because of uncertainties related to the inverter application scenario, system structure and specifications. To overcome the disadvantages of the reference voltage set-point strategy, an integrated cascade controller is adopted in which the outer loop is a learning controller with a noncausal filter, used to achieve high-precision voltage tracking, and the inner loop is a current consensus regulator implemented by means of nonlinear proportional–integral–derivative (PID) control, used to realize instantaneous value smoothing and output current consensus among a number of inverters. The designed controller does not rely on the plant model, structure or parameters and does not use the droop mechanism; it relies on fully data-driven and distributed (without root nodes or leaders) techniques. This controller design scheme can be uniformly applied for different kinds of distributed generation unit to achieve flexible and expandable microgrid deployment. Plug-and-play and load change capabilities, as well as tolerance to communication constraints, are also verified on the MATLAB/Simulink platform.

Adaptive consensus for heterogeneous unknown nonlinear multi-agent systems with asymmetric input dead-zone: A finite-time approach

“…In the last two decades, cooperative control of multi-agent systems (MASs) has gained considerable attention within the control community. These approaches found many applications in diverse areas such as microgrids (Meng and Hou, 2019), high-speed trains (Li et al, 2016), attitude synchronization in spacecraft (Zong et al, 2018), distributed generators (Fan et al, 2018), multi-missile systems (Jianguo et al, 2019), multiple quadrotor systems (Liao et al, 2019), multi-robotic networks (Wang et al, 2020), unmanned aerial vehicles (Liu YA et al, 2019; Wei et al, 2020), and path planning (Shen et al, 2019). One major the topic of interest in MASs is coordinated consensus problem aiming to steer the states of all agents in the network to some common value such as heading angle, velocity, and rendezvous position, merely relying on locally shared information (Rezaee and Abdollahi, 2015).…”

A Model Free Adaptive Scheme for Integrated Control of Civil Aircraft Trajectory and Attitude

“…The review of MFAC can be found in the literature [32][33][34]. At present, the model-free adaptive control method and its improved versions have been widely used in electromagnetic control [35], vibration control [36], water level control [37], electric energy control [38], traffic road network boundary control [39] and other fields. Meanwhile, recent research extended the application of model free adaptive control theory to trajectory-based aircraft operation [40].…”

Finite-time disturbance observer–based funnel voltage control strategy for vehicle-to-grid inverter in islanded mode

“…Similar to some smallscale islanded micro-grids, due to the small capacity and poor inertia of the system, one of the major challenges is to stabilize the frequency and amplitude of the alternating current (AC) bus voltage. 10,11 Generally, EVs are connected with the public power grid through V2G inverters. In the islanded power system with EVs as the main power source, V2G inverters are responsible for stabilizing the AC bus voltage.…”