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Results from two practical and fast methods to estimate systems' Maximum Loading Point (MLP) using Phasor Measurement Units (PMUs) are used in this paper as initial values for a robust and very efficient method that takes advantage of the geometric characteristics of the maximum loading hyperplane and uses the load flow with step size optimization (LFSSO) technique to estimate the system's proximity...
In this paper, a distributed multi-agent scheme is presented for reactive power management with renewable energy sources (RESs). The multi-agent system (MAS) framework is developed for distribution systems to improve the stability which is mostly dominated by voltage and the agents in this framework coordinate among themselves using online information and energy flow. In this paper, the agents basically...
Analytic methods to quantify power systems stability margins while acknowledging uncertainty will be critical in dynamic security assessment due to the integration of renewable resources and uncontrollable loads. Lyapunov's direct method provides a mathematical framework to assess stability margins. However, analytical construction of Lyapunov functions are limited to very restrictive settings and...
This paper introduces the application of Taguchi method to find the optimal allocation of distributed generations (DGs) in distribution network to minimize feeder power losses. The proposed method employs an orthogonal array (OA) to obtain optimal siting and sizing of DGs. The factors of OA are tuned by executing factorial design of experiments iteratively to optimize the objective function. The developed...
Power sharing between angle-droop controlled inverter-based sources largely depends on the line impedances and choice of droop coefficients. Simple power correction methods such as set-point correction and droop coefficient modification work satisfactorily for specific network topologies and require only limited amount of communication. However, their performance can be inadequate for microgrids with...
The paper discusses robust PSS synthesis. The PSS is an H∞ controller, what means that minimises H∞ norm of transfer function between the exogenous signals such as reference inputs and disturbances, and the error signals which are to be minimised to meet the control objective. The dynamic properties of the plant are shaped by choosing appropriate weighting function applied to the plant output and...
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