In this paper, the heuristic rules are proposed to derive the rephasing strategy of laterals and distribution transformers to improve the three phase unbalance of distribution systems. The distribution feeder network has been obtained by retrieving the attribute data of distribution components from the database of outage management system (OMS) in Taipower. The topology process and node reduction have also been executed to identify the network configuration and to prepare the input data for load flow analysis. With the monthly energy consumption of customers served by each transformer, which has been retrieved from the Customer Information System (CIS), the hourly loading of each distribution transformer can be derived. By performing the three phase load flow analysis, the three phase currents and neutral current of each primary trunk line section and each lateral can be calculated. The heuristic rule is employed to determine the phase adjustment strategy laterals and distribution transformers for rephasing to achieve three phase balancing. In order to demonstrate the effectiveness of the proposed methodology for three phase balancing, two practical distribution feeders in Taipower Fengshan District are selected for simulation. After rephasing the distribution transformers and laterals proposed by this paper, the three phase currents and netural of the test feeders have been collected. By companing to the neutral current before rephasing, it is found that the neutral current of test feeders have been reduced significantly and there phase balancing has been obtained by executing the proposed strategy derived using the heuristic rule.

SAP IS-U is de-facto industry standard for customer information systems for utility companies through Europe -- used in electricity, gas, district heating and water utilities industry. These core modules are needed for invoicing tasks and most classical day-to-day scenarios: * IS-U BF Basic Functions * IS-U MD Master Data * IS-U DM Device Management * IS-U BI-IN Billing Invoicing * FI-CA Contract Accounts Especially for large customers in electricity and gas industry, IS-U EDM Energy Data Management is used for management of interval reading consumption and profiles. As utility industry evolves through market liberalization, unbundling processes are covered by IS-U IDE Intercompany Data Exchange (with PI Process Integration as and integration platform). Additionally, IS-U Work Management can be used to connect IS-U processes with PM Plant Maintenance functionality of SAP ERP and service department processes can be covered through two different products: * IS-U CS Customer Service - Older solution, less robust but fully integrated and easier for implementation * SAP CRM -- Stand-alone product, more robust, full featured solution My diploma theses can be used as a brief introduction into the world of IS-U and I also tried to answer these two additional questions: * Common processes that are not covered by IS-U * Comparison of ASAP and MMDIS methodology

In this paper, a heuristic backtracking search algorithm is proposed to adjust the phasing arrangement of primary feeders and laterals for phase balancing of distribution systems. The phase unbalance index of distribution feeders is calculated based on the phasing current magnitude of each line segment and branch, which has been solved by a 3-phase load flow program. The database of an automated mapping/facility management (AM/FM) system is used to retrieve the component attributes and topology process is executed to determine the electrical network configuration and to identify the customers served by each distribution transformer. By using the monthly energy consumption of the customers in customer information system (CIS) and the typical daily load patterns of customer classes, the hourly loading profiles of distribution transformers can be derived, which can be integrated to solve the load demand of each service zone. By this manner, the individual phase loadings of each primary feeder and lateral can be determined based on the phasing of distribution transformers and the power consumption served. The optimal phase balancing of distribution systems is performed by heuristic rule-based searching process to minimize the phase unbalance index so that the proper phasings of a primary feeder and its lateral can be assigned. To demonstrate the effectiveness of proposed methodology to enhance three-phase balancing of distribution systems, a practical distribution feeder with 2754 customers are selected for computer simulation. It is concluded that three phase balancing of distribution systems can be obtained by properly phasing design of primary feeders and laterals by considering customer load characteristics.

This study aims to develop an integrated methodology for finding water leaks in a water distribution network. The integrated methodology is formed from SCADA System, Customer Information System (CIS), and Geographic Information System. The methodology is based on forming district-metered areas (DMA) and sub-DMAs in pressure zones by isolation of the network. Leaking spots in the network are localised by step testing within the DMA. With leak noise loggers leaking spots are localized with an increased accuracy and finally pinpointed by ground microphones. Minimum night flows are observed from the SCADA system before and after the repairs of the leaks to calculate physical water loss percentage in the DMA. Monthly non-revenue water percentage is calculated using the data obtained from SCADA and CIS. With a buffer analysis on the water distribution network data, the benefit of the leak noise loggers is maximized and the working time with the ground microphones are minimized. The methodology is applied in two different DMAs in Antalya water distribution network with different characteristics. In the first DMA, only the developed methodology is applied and a decrease of 19.2% is achieved in physical water losses. In the second DMA, pressure reduction is added to the methodology and a decrease of 4.9% is achieved.