Multi-input Power System Stabilizer Research Articles

Concurrently attuned design of a WADC-based UPFC PSDC and multiinput PSS for improving power system dynamic performance

A new controller design for a unied power ow controller (UPFC) for damping of power system swings, focusing on interarea modes, is described in this paper. The proposed controller is a dual-layer controller, where the rst layer is derived from local signals and the second layer is supplied by global signals, as additional measuring information from suitable remote network locations, where swings are well observable. For damping of low-frequency swing in wide-area operation, since there is little system information in the active power as input of the conventional power system stabilizer (CPSS), the eectiveness of the CPSS is low. For solving this problem, a multiinput power system stabilizer (MPSS) is used for the damping of low-frequency swings, where the choice of the MPSS location is based on modal analysis. Since an uncoordinated controller for the UPFC and MPSS may cause unwanted interactions, the concurrently attuned design of the controller parameters is necessary. The attuned design is presented as an optimization problem, where the particle swarm optimization algorithm is applied to search for the optimal controller parameters. The introduced time delay by remote signal transmission and processing in a wide-area damping controller (WADC) may be problematic for system stability and may decrease system robustness. The Lyapunov theory and model reduction technique are used to investigate the delay-dependent stability of a power system equipped with a WADC. The designed controller's eectiveness and robustness are investigated on a typical 2-area 4-machine benchmark power system.

Multi Input Power System Stabilizer Design Based on Genetic Algorithms

Multi Input Power System Stabilizer Design Based on Genetic Algorithms

Power System Damping Using Hierarchical Fuzzy Multi- Input Power System Stabilizer and Static VAR Compensator

This paper proposes the application of a hierarchical fuzzy system (HFS) based on multi-input power system stabilizer (MPSS) and also Static Var Compensator (SVC) in multi-machine environment.The number of rules grows exponentially with the number of variables in a conventional fuzzy logic system. The proposed HFS method is developed to solve this problem. To reduce the number of rules the HFS consists of a number of low-dimensional fuzzy systems in a hierarchical structure. In fact, by using HFS the total number of involved rules increases only linearly with the number of input variables. In the MPSS, to have better efficiency an auxiliary signal of reactive power deviation (ΔQ) is added with ΔP+ Δω input type Power system stabilizer (PSS). Phasor model of SVC is described and used in this paper. The performances of MPSS, Conventional power system stabilizer (CPSS), hierarchical Fuzzy Multi-input Power System Stabilizer (HFMPSS) and the proposed method in damping inter-area mode of oscillation are examined in response to disturbances. By using digital simulations the comparative study is illustrated. It can be seen that the proposed PSS is performing satisfactorily within the whole range of disturbances. Keywords—Power system stabilizer (PSS), hierarchical fuzzy system (HFS), Static VAR compensator (SVC) I. INTRODUCTION

Hierarchical fuzzy controller applied to multi-input power system stabilizer

This paper proposes the application of a hierarchical fuzzy system (HFS) based on multi-input power system stabilizer (MPSS) in multi-machine environment. The number of rules increases exponentially with the number of variables in a standard fuzzy system. This problem is solved in the proposed HFS method. In this method, the total number of rules increases only linearly with the number of input variables. HFS consists of a number of low-dimensional fuzzy systems in a hierarchical form. In the MPSS, the deviation of reactive power ΔQ is added to a ΔP +Δ ω input type Power System Stabilizer (PSS) to have better performance. The performances of MPSS and the proposed method in damping inter-area mode of oscillation are observed in response to disturbances. It is found that the proposed PSS is performing satisfactorily within the whole range of disturbances. This comparative study is demonstrated through digital simulations.

突然変異率を考慮した探索領域対数型GAによるMPSSの設計

This paper presents a new genetic algorithm Search Space Logarithm Type Genetic Algorithm Considering Mutation Rate: for optimization control problems of the Multi-input Power System Stabilizer (MPSS) design. Through the MSSLGA, in general, all the search space of tuning parameters for MPSS can be presumed in the range of 0.01˜100.0. First, this paper proposes developing it into the logarithm to cover the large scale disadvantage. Second, it is presented that mutation rates are decreased together gradually with the generation from the big value. The MSSLGA is possible to obtain the higher-fitness answer easily than the conventional Genetic Algorithm using a constant mutation rate. It is applied to the optimum design of MPSS using Series Compensation Method in power system, which contains low-frequency oscillations, and the efficiency through the MSSLGA is superior to conventional one.

Decentralized Control of Large Power System by H∞ Control Based Excitation Control System

In this paper we apply the decentralized H∞ control theory to interconnected multi-machine power systems. The idea is to design a local controller for each generator model so as to globally stability and optimal performance with consideration to interactions among multi-machine systems. The proposed excitation controller enables a power system to remain stable over a wide range of operating conditions. We also propose the design method of the advanced type of multi-input PSS(Power System Stabilizer) on the basis of H∞ theory.

Experimental verification of multi-input PSS with reactive power input for damping low frequency power swing

A multi-input power system stabilizer (MPSS) is developed to improve damping of low frequency power swing in long distance power system and to emphasize robustness for changing power system configuration and/or operating conditions. In the MPSS, the deviation of reactive power /spl Delta/Q, changing rates of terminal voltage and active power output are added to a /spl Delta/P+/spl Delta//spl omega/ input type PSS. In this paper, the AVR with the MPSS is applied to 100 kVA micro generator in CRIEPI's Power System Simulator and is compared with the /spl Delta/P+/spl Delta//spl omega/ PSS. The MPSS is verified through linearized system analysis and experiment to damp low frequency power swing and to have better performance than the /spl Delta/P+/spl Delta//spl omega/ PSS.