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Transcript

Title: AN ADAPTIVE NEURO FUZZY POWER SYSTEM STABILIZER FOR DAMPING INTER-AREA OSCILLATIONS IN POWER SYSTEMS Speaker: Ashwini Abstract: An Adaptive Neuro-Fuzzy Inference System (ANFIS) based PSS is proposed in this paper. The controller is essentially divided into two sub-systems, a recursive least square identifier for the generator and an adaptive neuro fuzzy PSS to damp the oscillations. The PSS is coupled to a single machine in every area and the parameters of this PSS are tuned online in order to minimize a cost function. The cost function consists of a summation of terms, in which each term is made up of the square of the difference in speed between the machine to which the PSS is connected and another machine in that same area (the number of terms equal the number of machines in that area excluding the machine installed with a PSS). The PSS is trained to reduce the speed difference between machines in every area while helping to reduce inter area oscillations. The proposed technique is illustrated on a 2 area 4-machine 13 bus system. This ANFIS PSS showed satisfactory performance under severe faulting conditions, where a threephase fault applied to a line, was cleared after a extended period of time. The conventional PSS and the ANFIS using the original cost function (consisting of just the square of the speed difference of the generator installed with the PSS) failed to perform under such conditions. Title 1: Steady Security Assessment Using Linear Programming Methodology Title 2: Artificial Neural Networks Based Steady State Security Analysis of Power Systems Speaker: Meera Shukla Abstract 1: This paper proposes a new approach to examine the voltage security of the system. An approximate linear model that comprehensively includes the line flows and bus voltages in its formulation is the basis for analysis. Linear programming (LP) approach is used to calculate the load scenarios, which ensures the system security. Forecast of load scenarios that lead to system security is also possible. The linear programming is implemented using EXCEL Spreadsheet [9]. The new methodology is implemented on a 5 Bus system and the voltage profile is assessed. The results are verified by a power flow algorithm [8]. The methodology is also implemented on the 14-Bus IEEE system. Abstract 2: The focus of this paper is to present an Artificial Neural Network based methodology to assess the steady state security of a power system. The security of the system is assessed on the basis of the voltage profile at each bus with reference to changes in generation and load in the system. The input to the neural network is the voltage level at each bus. The ANN used is a feedforward multilayer network trained with a backpropagation algorithm. The output of the ANN classifies the security of the power system into Normal, Alert and Emergency states. An IEEE 14-Bus system is considered to demonstrate the results of the methodology. Speaker: Ramesh Abstract: This presentation discusses the effects of three FACTS controllers: STATCOM, SSSC and UPFC on voltage stability in power system. Accurate model of these controllers are used for voltage stability studies. Continuation power flow is used to study the voltage stability in power system. Saddle node bifurcation theory is used to determine location of these controllers in a typical power system. From the results of voltage collapse studies using Power System Analysis Toolbox (PSAT), the optimal location of these controllers are determined. The steady state models of the controllers discussed and the techniques used for voltage stability studies are applied to 6-bus power system and effects of the controllers on voltage collapse phenomena are discussed. Speaker: Ahlada Abstract: This paper proposes a technique to identify critical double line outages and enhance static security by optimal placement of FACTS devices using heuristics based GA. Two indices have been used for contingency screening: double-line contingency index (DCI), based on line overflows, and voltage sensitivity index (VSI), based on bus voltage violations. Contingency screening is treated as the primary optimization problem with an objective of finding all doubleline outages with maximal DCI and VSI. Security enhancement is treated as a constrained secondary optimization problem. The objective is to reduce transmission losses through the branches of the system and reduce or remove the overflows and voltage violations present. The voltage magnitude at each bus and the line flow through each branch for all the buses and branches have been considered as inequality and equality constraints. The technique is demonstrated using IEEE 14 bus and IEEE 30 bus systems.