Extremum Seeking control of smart inverters for VAR compensation

Abstract

Abstract-Reactive power compensation is used by utilities to ensure customer voltages are within pre-defined tolerances and reduce system resistive losses. While much attention has been paid to model-based control algorithms for reactive power support and Volt Var Optimization (VVO), these strategies typically require relatively large communications capabilities and accurate models. In this work, a non-model-based control strategy for smart inverters is considered for VAR compensation. An Extremum Seeking control algorithm is applied to modulate the reactive power output of inverters based on real power information from the feeder substation, without an explicit feeder model. Simulation results using utility demand information confirm the ability of the control algorithm to inject VARs to minimize feeder head real power consumption. In addition, we show that the algorithm is capable of improving feeder voltage profiles and reducing reactive power supplied by the distribution substation.

Micro-synchrophasors for power distribution systems

“…Diagnostic applications help operators better understand the present or past condition of the distribution system, while control applications inform specific actions to be taken, likely by automated systems, in more or less "real-time." Our research has only incorporated field data into diagnostic applications, but we are also exploring some control applications [17].…”

Towards Real-Time Estimation of Solar Generation From Micro-Synchrophasor Measurements

“…These techniques seek to estimate a power factor closer to that of Case II in Figure 8. Expanding the PFBE to remove the constant PV power factor is particularly beneficial, as distributed generation is expected to participate in reactive power control in the future [22,23].…”

“…Having already found closed form solutions for Y |Θ in Equation (23), we can substitute these solutions in for Y i to solve the inner minimization. Equation ( 27), shows the result of this substitution.…”

Dynamic angular velocity turning for extremum seeking control of a two-dimensional mobile robot with external disturbances

“…Extremum seeking control (ESC), as an optimization method, has shown its superiority in many fields in the past years and has been widely studied. [1][2][3][4][5][6][7][8][9][10] From local convergence 1 to semi-global convergence and then to finite-time convergence, it has attracted considerable attention in the field of control. However, with the deepening of research, dynamic angular velocity ES with external disturbances is still a challenge, because how to control it from kinematics design to dynamics is not available currently.…”

“…Under the creative proposal of the feedback and stability convergence model 1 and based on Lyapunov method, the conjunction of the Lie bracket-based averaging method 12 with the conclusion of Moreau and Aeyels 13 by Dürr et al 14 made the ES more and more mature. Some of the recent work has applied ES in some unknown practical systems, such as jet noise ESC, 2 reduce bluff-body drag, 3 antilock brake system (ABS) design, 10 maximum power point tracking (MPPT) of photovoltaic systems, 4 tunable thermoacoustic cooler, 5 urban traffic signal control, 6 fed-batch processes, 7 smart inverters for visual-aural radio (VAR) compensation, 8 human exercise machine, 9 and periodic orbits of ESC. 15 For the turning problem of dynamic angular velocity, Sanders et al have improved the classical averaging method 16 and applied it to the high-frequency oscillation closed-loop system to achieve the convergence of vehicle trajectory.…”