Simultaneous design of damping controllers and internal controllers of a unified power flow controller

In this paper, the use of a supplementary controller of a unified power flow controller (UPFC) to damp low frequency oscillations is investigated. A new technique to design UPFC damping controllers simultaneously with UPFC internal controllers is proposed. An optimization problem to search for the optimal controller settings is formulated so as to optimize a time-domain based objective function that considers all the controllers simultaneously. The effectiveness of the proposed controllers in damping low frequency oscillations is verified through eigenvalue analysis and non-linear time simulation. A comparison with a sequential design of the controllers under study is also .included

Analysis and Design of UPFC Damping Stabilizers for Power System Stability Enhancement

In this paper, the use of the supplementary controller of a unified power flow controller (UPFC) to damp low frequency oscillations in a weakly connected system is investigated. The potential of the UPFC supplementary controllers to enhance the dynamic stability is evaluated. Two different objective functions are proposed in this work for the controller design problem. The first objective is eigenvalue-based while the second is time domain-based objective function. The UPFC controller design problem is solved using particle swarm optimization (PSO) technique. The effectiveness of the proposed controllers on damping low frequency oscillations is tested and demonstrated through non-linear time simulation. In addition, a comparison between the objectives is carried out. It can be concluded that the time domain-based design improves greatly the system response under fault disturbance

Integrating automatic generation control and economic dispatch for microgrid real-time optimization

A new scheme for real time operation of a microgrid comprising of thermal generators has been introduced. This scheme builds on the fact that economic dispatch can be converted from an optimization problem that is activated only in discrete instants of time into a feedback control problem that continuously adjusts the generators' set points. However, set point adjustment using control-based Economic dispatch (ED) is not sufficiently fast to maintain frequency deviation within acceptable levels. Hence, automatic generation control (AGC) is still needed to ensure fast action. It is shown in this paper that proper coordination between AGC and control-based ED gives rise to a control scheme that achieves efficient system frequency control while continuously operating the system in an optimal manner. A three generator system is used to implement the proposed scheme

HBMO Based Output Feedback Damping Controller for STATCOM

The aim of this paper is to investigate a novel approach for output feedback damping controller design of the static synchronous compensator (STATCOM) in order to enhance the damping of power system low frequency oscillations (LFO). The design of output feedback controller is considered as an optimization problem according to the time domain-based objective function solved by a honey bee mating optimization (HBMO) algorithm that has a strong ability to find the most optimistic results. To validate the accuracy of results a comparison with genetic algorithm (GA) has been made. The effectiveness of the proposed controller are tested and demonstrated through eigenvalue analysis and nonlinear time-domain simulation studies over a wide range of loading conditions. The simulation study shows that the designed controller by HBMO performs better than GA in finding the solution.U ovome radu istražene su metode za sintezu regulatora prigušenja za statički sinkroni kompenzator (STATCOM) u svrhu povećanja prigušenja nisko frekvencijskih oscilacija u energetskim sustavima. Sinteza regulatora je razmatrana kao optimizacijski problem u vremenskoj domeni koji je riješen pomoću HBM algoritma optimizacije (eng. Honey bee mating) koji ima svojstvo pronalaska najoptimističnijeg rezultata. U svrhu provjere rezultata napravljena je usporedba s rješenjem koje daje genetski algoritam. Efikasnost predloženog regulatora testirana je uz pomoć analize svojstvenih vrijednosti i nelinearnih simulacija u vremenskoj domeni za različite uvjete. Simulacijski rezultati pokazuju da se korištenjem regulatora s HBM optimizacijom postižu bolji rezultati nego korištenjem genetskog algoritma