1、 关于的期刊会议论文 范文 模板关于的期刊会议论文 范文 模板导读：gurationsshoumsystemperformanceforavarietyofloads.KeyousHybridPo(AHPS)1.INTRODUCTIONApplicationsofANNtoposareAUHTOR CONTACT INFORMATION联系信息Note the information in this page is only used for contact purpose. It ation of corresponding author (通讯信息)Name (姓名)：Cell Phone
2、 ()：E-mail (电子邮件) ：Please provide us the above information in order to contact ent of Electrical Engineering, xxx, YYY21Assoc. Prof., Department of Electrical Engineering, xxx, YYYE-mail: 1, 2ABSTRACTThe gain of SVC depends upon the type of reactive poum performance. As the load and input eters of t
3、he SVC controller over a ulti-layer feed-forethod is employed. Loads have been taken as the function of voltage. Analytical techniques have mostly been based on impedance load reduced odels, several disadvantages, including inadequate load representation and lack of structural integrity. The ability
4、 of ANNs to spontaneously learn from examples, reason over inexact and fuzzy data and provide adequate and quick responses to neation not previously stored in memory has generated high performance dynamical system odels have been developed for different hybrid po configurations for tuning the propor
5、tional-integral controller for SVC. Transient responses of different autonomous configurations shoum system performance for a variety of loads.Keyous Hybrid Po (AHPS)1. INTRODUCTIONApplications of ANN to pos are agros. Several interesting applications of ANNsto po problems 1-5, indicate thatANNs hav
6、e great potential in po on-lineand off-line applications. The feature of an ANN isits capability to solve a plicated problem veryefficiently because the kno is distributed in the neurons and theconnection ation are processed in parallel. During last three decades, the assessment of Back-propagation
7、is an iterative, gradient search, potential of the sustainable eco-friendly alternative supervised algorithm ent in technology has taken multiplayer non-linear method that can re-code its place to a stage so that economical and reliable input space in the hidden layers and thereby solve pos. The wor
8、k is trained sources are available at different geographical using ANN 关于的期刊会议论文 范文 模板(2)导读：eImprovement,Pos,Vol.11,No.1,January199technique until a good agreement locations close to loads, therefore, the latest trend is bet. reached. Examples of such systems are icro-hydro-system ultiplicity of gen
9、eration to meet the load demand.These systems are knos. To have automatic reactive load voltage control SVC device have been considered. The multi-layer feed-forethod is employed.Table 1. An example of a table column heading A (t) B (T) And another entry 3 4 And another entry 5 62. TRAINING OF ANN P
10、ARAMETERSThe input to the ANN is the value of exponent of reactive poeters of the SVC. Normalized values of nq are fed as the input to the ANN the normalized values of outputs are converted into the actual value. The process ofREFRENCES:Author Name(s), Paper Title, Conference/Journal Title (Vol/Issu
11、e), Date, Page Numbers1 T.S. Bhatti, R.C. Bansal, and D.P. Kothari,“Reactive Pos”, Proceedings of International Conference on puter Application in Electrical Engineering Recent Advances (CERA), Indian Institute of Technology Roorkee (India), February 21-23, 2002, pp. 626-632.2 B.N. Singh, Bhim Singh, Ambrish Chandra, andKamal Al-Haddad, “Digital Implementation of an Advanced Static VAR pensator for Voltage Profile Improvement, Pos, Vol. 11, No. 1, January 1996, pp. 540-545.
