Improved model‐free adaptive wide‐area coordination damping controller for multiple‐input–multiple‐output power systems

Abstract

Wide-area power system stabiliser (WAPSS) has been proved to be an effective method to damp inter-area lowfrequency oscillations by using synchronised-phasor measurements. However, negative interactions among the WAPSSs may happen when they are designed separately. The conventional model-based coordination design methods are difficult to get good damping performance because model identification of the high-order, non-linear and time-varying power system is difficult. In this study, an improved model-free adaptive control (MFAC) algorithm is proposed for WAPSS coordination design. With the consideration of the interactions among the controllers and system noises, a novel decoupled multiple-input-multiple-output power system description for WAPSS coordination design are given. The MFAC control law and adaption law for each subsystem are improved to satisfy the controller coordination design requirements. The closed-loop system stability and parameter settings of the improved MFAC algorithm are also analysed from a global perspective. Compared with model-based methods, the proposed MFAC algorithm can ensure the controllers cooperate with each other and perform well under various operating conditions without tedious system modelling. The effectiveness of the proposed controllers is tested on an interconnected large-scale power system in China. An MFAC-WAPSS control system for field application is also presented in this study to validate its practicality.

Model‐free adaptive formation control for unknown multiinput‐multioutput nonlinear heterogeneous discrete‐time multiagent systems with bounded disturbance

“…This is an energy constraint, which accords with the energy conservation principle. Furthermore, widely practical plants have been verified to satisfy these assumptions, such as, the crude styrene distillation process in Reference 31, the damping control of the power systems in Reference 32, even for image process in video surveillance, 33 etc.…”

“…Third, MFAC can guarantee rigorous stability for a class of SISO and MIMO systems 29,30 . In addition, MFAC has substantial practical applications, like the MAS, 21,22 the chemical process, 31 power system, 32 even for image process in video surveillance, 33 etc. As far as the authors' knowledge goes, there is no research on the formation control for unknown MIMO nonlinear MAS with disturbance based on the MFAC method.…”

Location and Capacity Optimization of Distributed Energy Storage System in Peak-Shaving

“…Additionally, the huge investment of equipment causes high cost. The other one is that the grid lacks effective methods and equipment to maintain system damping performance and stability of the grid [3][4][5]. The adjustment cost of generators is high, and the response speed is slow.…”

Wordbook‐based light‐duty time series learning machine for short‐term voltage stability assessment

“…Fortunately, the rise of wide-area measurement systems over recent years [6][7][8] has greatly helped ease this challenge. With massive high-quality synchronised data acquired by phasor measurement units (PMUs), data-driven system stability analysis and assessment can be carried out.…”