Kab Ju Hwang

This approach is oriented toward applications in three phase distribution system operational analysis rather than planning analysis. The solution method is the optimally ordered triangular factorization Y/sub BUS/ method (implicit Z/sub BUS/ Gauss method) which not only takes advantage of the sparsity of system equations but also has very good convergence characteristics on distribution problems. Detailed component models are needed for all system components in the simulation. Utilizing the phase frame representation for all network elements, a program called Generalized Distribution Analysis Systems, with a number of features and capabilities not found in existing packages, has been developed for large-scale distribution system simulations. The system being analyzed can be balanced or unbalanced and can be a radial, network, or mixed-type distribution system. Furthermore, because the individual phase representation is employed for both system and component models, the system can comprise single, double, and three-phase systems simultaneously.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

This paper suggests a long-term distribution area load forecasting algorithm which offers basic data for power distribution system planning. To build the forecasting model, 4-level hierarchical spatial structure is introduced: nation, region, area, and S/S(substation). And, each spatial load can be decided proportional to its portion in the higher level. This paper introduces the horizon year demands to improve the forecasting results. And, this paper also suggests an effective load transfer algorithm to improve forecasting stability in case of new or stopped substations.

In this paper, components models and analysis algorithm to analyze a large-scale electrical distribution system is proposed. The component models described here include conductor, shunt capacitor/reactor, transformer, cogenerator and load. To solve the network equations, sparse programming techniques is introduced, and the superposition of injected current sources and an iterative voltage compensation method is introduced for solving algorithm. Proposed models are presented by phase frame representation, different from the conventional application of symmetrical frame representation. The proposed techniques were applied to a practical distribution system to show that the technique is applicable to a large-scale problem such as several hundreds bus system and also to show the possibility of real time application.

This paper presents a short-term regional load forecasting algorithm for distributional company that needs to make its bidding policy. The forecasting model is built by a bottom-up approach based on its historical load data, while the regional forecasting is performed in a top-down manner using the total system forecasting results of the Korean Power Exchange (KPX). The total system is composed of several distribution regions, and each region includes its branches. A forecasting software, so called forecasting for regional distribution (FORD), is developed as well, based on the proposed algorithm.