Design of model predictive controllers for adaptive damping of inter-area oscillations

Ye, Hua; Liu, Yutian

doi:10.1016/j.ijepes.2012.09.023

Cited by 40 publications

(11 citation statements)

References 30 publications

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“…The simulation results of a real large-scale interconnected power system in China demonstrate the effectiveness of our improved MFAC-WAPSSs. For system (7), suppose that f c1 i (•) is a continuous smooth map from y c1…”

Section: Discussionmentioning

confidence: 99%

“…Several methods have been proposed for the WAPSS coordination design. Approaches based on a linear system model such as subspace system identification with state-feedback control [5], optimisation methods based on linear system identification [6] and model predictive control based on closed-loop subspace model identification [7] have been studied. Owing to the highly non-linear, time-varying and complex nature of large-scale power systems, WAPSSs based on linear model-based control techniques may not show good performance.…”

Section: Introductionmentioning

confidence: 99%

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

Zhao

Yuan

Lü

et al. 2016

IET Generation, Transmission & Distribution

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Zhao

Yuan

Lü

et al. 2016

IET Generation, Transmission & Distribution

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show abstract

“…Robust control [8] is an effective way to deal with the uncertainties, while when the operating conditions change over a wide range, the robustness might not be guaranteed. Therefore, adaptive control methods such as the fuzzy control method [9], multiple-model method [10,11], Kalman filter method [12], etc., which can track conditions change a lot, the nonlinearity of power systems is more prominent and the disturbance models more difficult to interpret [13]. Therefore, machine study methods using statistical analysis may be more suitable for this particular application.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Damping Control Strategy of Wind Integrated Power System

Deng¹,

Suo²,

Yang

et al. 2019

Energies

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Random variation of grid-connected wind power can cause stochastic variation of the power system operating point. This paper proposes a new scheme to design an adaptive damping controller by tracking the variation of system operating points and updating the controller’s functions to achieve a robust damping control effect. Firstly, the operating space is classified into different modes according to the classification of wind power outputs. Multiple power system stabilizers (PSSs) are then designed. Secondly, the method of optimal classification and regression decision tree (CART) is utilized for classifying subspaces of system operating point and it is proposed that the on-line measurements from wide area measurement system (WAMS) are used for tracking the dynamic behaviors of stochastic drifting point and thus guide the updating of appropriate PSSs be switched on adaptively. A 16-generator-68-bus power system integrated with wind power is presented as a test system to demonstrate that the adaptive control scheme by use of the CART can damp multi-mode oscillations effectively when the wind power output changes.

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“…It is noted that HVDC can only be installed on a fixed transmission line, and hence might be less effective in damping oscillations originating from an electrically distant part of the grid. An adaptive version of centralized MPC is proposed in Ye and Liu (2013) which solves the problem of simultaneous control and identification of model parameters using subspace methods. Over recent years, MPC https://doi.org/10.…”

Section: Introductionmentioning

confidence: 99%

Distributed wide-area control of power system oscillations under communication and actuation constraints

Jain

Chakrabortty

Bıyık

2018

Control Engineering Practice

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In this paper a distributed Model Predictive Control design is presented for inter-area oscillation damping in power systems under two critical cyber-physical constraints-namely, communication constraints that lead to sparsification of the underlying communication network, and actuation constraints that respect the saturation limits of generator controllers. In the current state-of-art, distributed controllers in power systems are executed over fixed communication topologies that are most often agnostic of the magnitude and location of the incoming disturbance signals. This often leads to a sub-optimal closed-loop performance. In contrast, the communication topology for the proposed controller is selected in real-time after a disturbance event based on event-specific correlations of the generator states with the dominant oscillation modes that are excited by that event. Since these correlations can differ from one event to another, so can the choice of the communication topology. These correlations are used to identify the most important sets of generators that must exchange state information for enhancing closed-loop damping of the inter-area modal frequencies. Effectiveness of this strategy is shown via simulations on the 48-machine, 140-bus model for the Northeast Power Coordinating Council.

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Design of model predictive controllers for adaptive damping of inter-area oscillations

Cited by 40 publications

References 30 publications

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

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

Adaptive Damping Control Strategy of Wind Integrated Power System

Distributed wide-area control of power system oscillations under communication and actuation constraints

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