Georgia Power

About: Georgia Power is a company organization based out in Atlanta, Georgia, United States. It is known for research contribution in the topics: Electric power transmission & Voltage. The organization has 73 authors who have published 66 publications receiving 932 citations. The organization is also known as: Georgia Railway and Power Company.

Power system remedial action methodology

Abstract: The authors address the problem of remedial-action computations for the purpose of alleviating overloads, abnormal voltages, etc. The method is based on a linear programming (LP) approach. Applications for voltage/reactive-power control, discrete capacitor/reactor switching, load transfer, and interchange control are considered. The method is optionally based on a DC or AC network model. It utilizes a number of innovations to yield an efficient computational procedure. The major innovations are: a procedure for determining coherent constraints which results in a fast identification of active constraints, fast linearization procedures for active constraints, procedures to define the region of validity of the linearized model, and a fast sparsity-coded LP algorithm. The performance of the method for large power systems is evaluated. >

Power System Reliability Evaluation Using Stochastic Load Flows

Abstract: This paper presents a simulation procedure for bulk power system reliability evaluation. The operation of the system under forced or scheduled outages of circuits and/or units is simulated via a stochastic load flow. An efficient stochastic load flow methodology is presented, which computes circuit loading and bus voltage probability distributions from a given load probability distribution. The output of the stochastic load flow is utilized to compute the conditional probability of system failure according to predefined criteria. Circuit overloads and bus undervoltages/overvoltages are utilized as system failure criteria. The frequency and duration method is employed to compute bulk power system reliability indices. Upper and lower bounds on the reliability indices are computed, which converge to the true values of the indices as the number of contingencies simulated increases. The paper presents simulation results with two systems: (a) a small 9-bus system to demonstrate data requirements, and (b) the 500 kV/230 kV system of Georgia Power Company to demonstrate the applicability of the method to actual systems.

Squirrel shield device

Abstract: The invention relates to a shield which prevents squirrels or other animals from causing faults in power distribution substations. Switch and bus insulators are primary points of contact when a small animal crawls from a grounded, supporting structure across an insulator to an energized conductor. The present invention provides for a barrier on switch and bus insulators which prevents animals from coming into contact with a grounded structure and an energized conductor simultaneously, thus eliminating a ground path from the energized conductor through the animal to the grounded structure.

High-temperature ampacity model for overhead conductors

Abstract: A computer-based ampacity model that can predict the temperature of overhead conductors for temperatures as high as 250/spl deg/C has been developed. The model is a revision of a program that has been reliably used for approximately 20 years to calculate the transient ampacity of a wide variety of conductor designs. The accuracy of the program has been determined by comparing the program predictions with temperatures that are measured on a full-scale energized outdoor test span. The accuracy of the program decreases as the average conductor temperature increases. As the conductor temperature increases, the spatial variations, both azimuthal and radial, are magnified and the task of calculating a single, average conductor temperature becomes more challenging. Typical variations in the conductor temperature were as high as 65/spl deg/C in a single span when the conductor temperature approached 250/spl deg/C. These temperature variations create difficulties when trying to either measure the conductor temperature with hardware attached to the line or predict the temperature with a computer-based ampacity model.