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      Bulk electric system reliability simulation and application

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      WijarnWangdee_PhDthesis.pdf (1.617Mb)
      Date
      2005-12-09
      Author
      Wangdee, Wijarn
      Type
      Thesis
      Degree Level
      Doctoral
      Metadata
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      Abstract
      Bulk electric system reliability analysis is an important activity in both vertically integrated and unbundled electric power utilities. Competition and uncertainty in the new deregulated electric utility industry are serious concerns. New planning criteria with broader engineering consideration of transmission access and consistent risk assessment must be explicitly addressed. Modern developments in high speed computation facilities now permit the realistic utilization of sequential Monte Carlo simulation technique in practical bulk electric system reliability assessment resulting in a more complete understanding of bulk electric system risks and associated uncertainties. Two significant advantages when utilizing sequential simulation are the ability to obtain accurate frequency and duration indices, and the opportunity to synthesize reliability index probability distributions which describe the annual index variability. This research work introduces the concept of applying reliability index probability distributions to assess bulk electric system risk. Bulk electric system reliability performance index probability distributions are used as integral elements in a performance based regulation (PBR) mechanism. An appreciation of the annual variability of the reliability performance indices can assist power engineers and risk managers to manage and control future potential risks under a PBR reward/penalty structure. There is growing interest in combining deterministic considerations with probabilistic assessment in order to evaluate the “system well-being” of bulk electric systems and to evaluate the likelihood, not only of entering a complete failure state, but also the likelihood of being very close to trouble. The system well-being concept presented in this thesis is a probabilistic framework that incorporates the accepted deterministic N-1 security criterion, and provides valuable information on what the degree of the system vulnerability might be under a particular system condition using a quantitative interpretation of the degree of system security and insecurity. An overall reliability analysis framework considering both adequacy and security perspectives is proposed using system well-being analysis and traditional adequacy assessment. The system planning process using combined adequacy and security considerations offers an additional reliability-based dimension. Sequential Monte Carlo simulation is also ideally suited to the analysis of intermittent generating resources such as wind energy conversion systems (WECS) as its framework can incorporate the chronological characteristics of wind. The reliability impacts of wind power in a bulk electric system are examined in this thesis. Transmission reinforcement planning associated with large-scale WECS and the utilization of reliability cost/worth analysis in the examination of reinforcement alternatives are also illustrated.
      Degree
      Doctor of Philosophy (Ph.D.)
      Department
      Electrical Engineering
      Program
      Electrical Engineering
      Supervisor
      Billinton, Roy
      Committee
      Xu, Wilsun; Wacker, Gary; Oguocha, Ikechukwuka N.; Klymyshyn, David M.; Karki, Rajesh
      Copyright Date
      December 2005
      URI
      http://hdl.handle.net/10388/etd-12152005-133551
      Subject
      Wind Power
      Reliability Evaluation
      Combined Adequacy and Security Framework
      Sequential Monte Carlo Simulation
      Power Systems
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