Electric Distribution Reliability Analysis Considering Time-varying Load, Weather Conditions and Reconfiguration with Distributed Generation

This dissertation is a systematic study of electric power distribution system reliability evaluation and improvement. Reliability evaluation of electric power systems has traditionally been an integral part of planning and operation. Changes in the electric utility coupled with aging electric apparatus create a need for more realistic techniques for power system reliability modeling. This work presents a reliability evaluation technique that combines set theory and Graph Trace Analysis (GTA). Unlike the traditional Markov approach, this technique provides a fast solution for large system reliability evaluation by managing computer memory efficiently with iterators, assuming a single failure at a time. A reconfiguration for restoration algorithm is also created to enhance the accuracy of the reliability evaluation, considering multiple concurrent failures. As opposed to most restoration simulation methods used in reliability analysis, which convert restoration problems into mathematical models and only can solve radial systems, this new algorithm seeks the

[1]  Y.-Y. Hsu,et al.  A heuristic based fuzzy reasoning approach for distribution system service restoration , 1994 .

[2]  J. Devore,et al.  Applied statistics for engineers and scientists , 1994 .

[3]  D. Zhu,et al.  Impact of DG placement on reliability and efficiency with time-varying loads , 2006, IEEE Transactions on Power Systems.

[4]  G. Ellis.  Observers in Control Systems: A Practical Guide , 2002 .

[5]  Wenyuan Li,et al.  Reliability Assessment of Electric Power Systems Using Monte Carlo Methods , 1994 .

[6]  Roger C. Dugan,et al.  Planning for distributed generation , 2001 .

[7]  Roy Billinton,et al.  Reliability evaluation of engineering systems : concepts and techniques , 1992 .

[8]  S. S. Venkata,et al.  An expert system operational aid for restoration and loss reduction of distribution systems , 1988 .

[9]  Yoshikazu Fukuyama,et al.  Parallel genetic algorithm for service restoration in electric power distribution systems , 1996 .

[10]  Charlie Alan Jones.  Operational extensions to a power distribution design workstation for enhanced emergency restoration , 1990 .

[11]  Ronald N. Allan,et al.  Bibliography on the Application of Probability Methods in Power System Reliability Evaluation 1996-1999 , 1984 .

[12]  K. E. Bollinger,et al.  Transmission System Reliability Evaluation Using Markov Processes , 1968 .

[13]  A. P. Hanson,et al.  Impact of Two-Stage Service Restoration on Distribution Reliability , 2001, IEEE Power Engineering Review.

[14]  S. S. Venkata,et al.  Distribution system reliability assessment: momentary interruptions and storms , 1997 .

[15]  D. Shirmohammadi.  Service restoration in distribution networks via network reconfiguration , 1991 .

[16]  Roy Billinton,et al.  Reliability-network-equivalent approach to distribution-system-reliability evaluation , 1998 .

[17]  T. Hachino,et al.  A prediction method of electric power damage by typhoons in Kagoshima via GMDH and NN , 2002, Proceedings of the 41st SICE Annual Conference. SICE 2002..

[18]  Robert P. Broadwater,et al.  An expert system for integrated protection design with configurable distribution circuits. II , 1994 .

[19]  Roy Billinton,et al.  Integrated reliability evaluation of generation, transmission and distribution systems , 2002 .

[20]  Roy Billinton,et al.  Power-system reliability in perspective , 1984 .

[21]  J. C. Appleyard,et al.  Innovations in use of microprocessor relays and controls for improved reliability on the distribution system , 2001, 2001 IEEE/PES Transmission and Distribution Conference and Exposition. Developing New Perspectives (Cat. No.01CH37294).

[22]  Kyu-Ho Kim,et al.  Dispersed generator placement using fuzzy-GA in distribution systems , 2002, IEEE Power Engineering Society Summer Meeting,.

[23]  Roy Billinton,et al.  Overall adequacy assessment of an electric power system , 1992 .

[24]  Wenyuan Li,et al.  Risk Assessment Of Power Systems: Models, Methods, and Applications , 2004 .

[25]  P.S. Harish,et al.  Automatic vacuum capacitor switch with modified digital filter design for enhanced speed and power optimization , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

[26]  Zhimin Li,et al.  Reliability evaluation of complex radial distribution systems considering restoration sequence and network constraints , 2004 .

[27]  Roy Billinton,et al.  Reliability evaluation of power systems , 1984 .

[28]  Jos Warmer,et al.  The object constraint language , 1998 .

[29]  P.P. Barker,et al.  Determining the impact of distributed generation on power systems. I. Radial distribution systems , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[30]  K. Tomsovic,et al.  Placement of dispersed generation systems for reduced losses , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[31]  D. Lubkeman,et al.  Large scale storm outage management , 2004, IEEE Power Engineering Society General Meeting, 2004..

[32]  Yasuhiro Hayashi,et al.  Application of tabu search to optimal placement of distributed generators , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[33]  Jen-Hao Teng,et al.  Strategic distributed generator placements for service reliability improvements , 2002, IEEE Power Engineering Society Summer Meeting,.

[34]  R.P. Broadwater,et al.  Computer-Aided Protection System Design with Reconfiguration , 1991, IEEE Power Engineering Review.

[35]  Stephanie Hamilton,et al.  Distributed Generation: A Nontechnical Guide , 2001 .

[36]  Robert P. Broadwater,et al.  Pointers and linked lists in electric power distribution circuit analysis , 1991, [Proceedings] Conference Papers 1991 Power Industry Computer Application Conference.

[37]  Y.-Y. Hsu,et al.  Distribution system service restoration using a heuristic search approach , 1991 .

[38]  T. D. Nielsen,et al.  Improving outage restoration efforts using rule-based prediction and advanced analysis , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).