6533b7d3fe1ef96bd1260857

RESEARCH PRODUCT

Load management for voltage security using probabilistic fuzzy decision tree method

Mohan KolheN. P. PatidarS. R. NandanwarK. M. S. Y. KonaraS. B. Warkad

subject

Engineeringbusiness.industry020209 energyDecision treeProbabilistic logic02 engineering and technologyTransmission systemAC powerReliability engineeringLoad managementElectric power system0202 electrical engineering electronic engineering information engineeringEntropy (information theory)businessVoltage

description

During contingency, load management is most important in planning, monitoring and controlling of power system. In transmission system, there is limit for controlling the reactive power in large size power network. In order to manage heavy loading on transmission, load management is necessary to avoid voltage collapse. This paper presents a methodology for load management considering voltage security assessment using probabilistic fuzzy decision tree (PFDT) technique. By using probabilistic fuzzy decision tree method, the load management is calculated in optimal manner in real time and insecure operating conditions are observed. With the help of this method, a real time load management plan could be provided for insecure states significantly assisting the operator to run the system in a secure manner. Probabilistic fuzzy decision tree examines the voltage security of power system whether it is secure or insecure, and classifies it correctly. After classification, voltages of insecure operating conditions are to be made secure by load management on minimal number of buses. The results of proposed method are analyzed on the IEEE-30 bus system and are presented.

yearjournalcountryeditionlanguage
2016-12-012016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)
https://doi.org/10.1109/iciafs.2016.7946565