NDLI: The optimal switching operation of distribution systems with stochastic load models by object-oriented programming

Content Provider	IEEE Xplore Digital Library
Author	Lin, C.H. Chen, C.S. Wu, C.J.
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. Eng., Kao Yuan Inst. of Technol., Kaohsiung, Taiwan (Lin, C.H.)
Abstract	This paper solves the optimal switching operation considering the stochastic load models by object-oriented programming for the Distribution Automation System in Taiwan Power Company. The attributes of 4-way line switches in the underground distribution network are defined to store the information of switch on-off status, current loading, phase voltage, and the up/down stream line switches. With the object-oriented programming, the distribution network configuration can be easily identified by connectivity trace according to the line switch status. The current flows of line switches can be updated when the optimal switching operation is performed to balance the loads on feeders and reduce the risk of overloads. The optimal switching operations perform the load transfer among the feeders and main transformers to achieve the load balance and loss minimization. To support these functions more effectively, the stochastic load models of service customers are derived. The probabilistic load flows of line switches are solved by the stochastic power system analysis. The dynamic load behavior can be included in the derivation of optimal switching operation. The binary integer programming incorporated with probabilistic load flow is proposed to help system operators determine the optimal switching operation and to balance the loading of feeders. The current flows of line switches and feeder configuration are updated according to the switching operation. The practical distribution system feeders are selected for computer simulation to demonstrate the effectiveness of the proposed methodology to solve the optimal switching operation.
Starting Page	139
Ending Page	144
File Size	474148
Page Count	6
File Format	PDF
ISBN	0780363388
DOI	10.1109/ICPST.2000.900045
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-12-04
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Switches Power system modeling Stochastic systems Load modeling Object oriented modeling Object oriented programming Load flow Power system dynamics Automation Voltage
Content Type	Text
Resource Type	Article

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