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Title of Thesis

Muhammad Farooq Aslam
Institute/University/Department Details
University of Engineering and Technology Lahore/Department of Electrical Engineering
Electrical Engineering
Number of Pages
Keywords (Extracted from title, table of contents and abstract of thesis)
hydrothermal power systems, electrical power system, thermal plants status development process, scada system, artificial intelligence, coupled expert systems, thermal plant processes

The problem of economic operation of an electrical power system is suffering from combinatorial explosiveness. Moreover the problem is distributed in nature, overwhelmed by human factors because of the fact that present day systems are spanned at very large areas. Most of the data that is transferred to the system control office is mainly useful for stability and control purposes alone, while there is a lot of data, generated by various parts of the system that can be utilized effectively for improving the economic operation but at present is lying dormant.

This thesis is addressed towards a comprehensive solution of the problem in the light of three crucial factors mentioned above. Instead of using the conventional SCADA system to transfer the data in the form of unrelated telemetry signals, techniques are developed to keep the data in distributed client server databases, where each unit of data bears a particular specified relationship with the rest of the system. Processes are developed to transform this data into information and send the database transaction over the WEB to share the distributed computing for economic operation. Several processes are identified and a higher level process map of the system operation is developed. Expert system methodology is used to couple the symbolic and numerical knowledge in the processes for better insight and management of human factor.

A mathematical model is developed that represents the situation in a thermal power station running on multiple fuels. The Thermal Plants Status Development Process that has been implemented in a client-server database system for thermal power stations uses this model to infer the current status of the system. The process takes into account the human factors affecting the dynamicity of fuel cost characteristics of thermal units, and sends the transaction over the WEB, to the system control office, containing the parameters needed for economic operation. A 24 hour simulation is carried out for three thermal units having a total capacity of 1200 MW, using gas fuels from four different gas fields. The simulation recorded a net send out of 22,298.0 MWh of energy while the results show a saving in the fuel cost ranging from 0.6 Million Rupees (1$ = Rs. 60 approx) to 5.5 Million Rupees per day over the current practice. Real practical data, required for the development of various models of the thesis is obtained from Gas Thermal Power Station Guddu, which is one of the major thermal power stations in the Pakistan Electric Utility System.

A portion of this work is the basis of the eight research publications. The author himself participated for presenting a paper in 38th International Universities Power Engineering Conference, Upec03, Sep-01 to Sep-03 2003, in Thessalonica, Greece, and for the second paper in IASTED, International Conference on Power and Energy Systems, EuroPES 2003, Sep-03 to September 06 2003 Marbella, Spain. Another paper has been accepted, for publication in IASTED, International Journal of Power and Energy System, Calgary, Canada.

Download Full Thesis
5345.03 KB
S. No. Chapter Title of the Chapters Page Size (KB)
1 0 Contents
204.06 KB
2 1 Introduction 3
164.89 KB
  1.1 Background of he Problem 3
  1.2 Operating States of a Power System 4
  1.3 Areas of System Operation 6
  1.4 Nature of the Problem 9
  1.5 Crucial Issues 10
  1.6 Previous Work 11
  1.7 Scope of Study 14
  1.8 Benefits 16
  1.9 Presentation 17
3 2 Conceptual Frame Work 22
798.29 KB
  2.1 Decision Management 24
  2.2 Analytical Methods 38
  2.3 Heuristic Methods 55
  2.4 Artificial Intelligence and Decision Making 67
  2.5 The Expert Systems 72
  2.6 Coupled Expert Systems 89
4 3 Physiology of System Operation 108
311.17 KB
  3.1 Power System Makeup 110
  3.2 Physiology of Organizations 131
5 4 Methodology 137
1361.16 KB
  4.1 Reengineering of System Operation 139
  4.2 Reengineering of Processes 144
  4.3 Distributed Information Management 157
  4.4 Thermal Plant Processes 190
6 5 Findings and Discussions 253
1785.86 KB
  5.1 Impact of the Process on Optimal Operation 254
  5.2 Power System Operation Present and Prospective 288
  5.3 The Epilogue 322
  5.4 References 329
7 6 Appendices 340
1213.21 KB
  6.1 Publications 354
  6.2 List of Publications 355