Title :
Load Estimation in Industrial Power Systems for Expansion Planning
Author_Institution :
Dept. of Marine Eng., Nat. Kaohsiung Marine Univ., Kaohsiung, Taiwan
Abstract :
To increase the competition in the future global shipbuilding markets, CSBC Corporation, Taiwan, has started to do an expansion plan to install high efficient facilities for valuing productivity and improving efficiency of the overall plant operations. The shipyard, however, has no power SCADA system due to old building ages and cost considerations, and consequently real-time measurements for most load buses in the system are not available. For future expansion purposes, CSBC tries to develop a methodology for expansion planning of the shipyard power system. This paper presents the methodology and expansion planning results. A two-stage load estimator algorithm that combines typical load characteristics and state estimation theory is developed to provide the injected power at load buses in the network at a sound accuracy with relatively few real measurements. The estimated results that could reflect true system operation then are used as a base case for system expansion planning. A five-bus test system and the CSBC power system have been analyzed to show the good convergence characteristics of the developed estimator algorithm and to demonstrate the effectiveness of proposed methodology.
Keywords :
industrial power systems; load forecasting; power system measurement; power system planning; shipbuilding industry; state estimation; CSBC Corporation; CSBC power system; five-bus test system; high efficient facility installation planning; industrial power system; load buses; plant efficiency; real-time measurement; shipbuilding markets; shipyard power system; state estimation theory; system expansion planning; two-stage load estimator algorithm; Load management; Loss measurement; Measurement uncertainty; Planning; Power measurement; State estimation; industrial plants; Expansion planning; industrial power system; load estimation;
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2011.2168591