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Efficient and Economic Reliability Target Setting and Legislation in Electric Power Distribution Systems

Taheri, Sajjad | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56460 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fotuhi Firuzabad, Mahmud
  7. Abstract:
  8. A high percentage of power grid faults occur in the distribution sector, which causes customers to experience power outages. In order to maintain a good reputation with customers and maximize their satisfaction, improving the reliability of the services provided in the electricity distribution network and minimizing related costs have always been one of the most important challenges for electricity network managers. Therefore, managers and legislators of the power network are always looking for a way to maintain the reliability level of the power distribution network and also to improve it. So far, many researchers have focused on setting goals with the help of average performance methods and Performance-Based Regulation (PBR) by designing a reward-penalty scheme. However, since setting goals based on average performance and then legislating based on them is not sufficient and accurate, this thesis addresses this challenge by setting goals based on the best performance and then legislating based on them by designing a reward-penalty scheme. For this purpose, first, the distribution network feeders are clustered as decision-making units using the Fuzzy_C_Mean (FCM) clustering method. Then, the primary efficiency is investigated with the help of Data Envelopment Analysis (DEA) and Cross-Efficiency Analysis (CEA) methods, and their goals are determined. Finally, legislation is addressed at the level of electric power distribution network feeders by designing a reward-penalty scheme for all Decision-Making Units (DMUs).The proposed algorithm in this thesis is simulated in Python software using the pyomo optimization package, and its results are presented. According to the results obtained for the reward-penalty curves, it is clear that feeders with higher industrial loads have higher incentive rates and possible penalty and reward caps compared to other feeders with less industrial load. In other words, this problem can be interpreted as the desire of customers in this type of feeders to improve the reliability indices being higher than in other feeders with lower industrial load
  9. Keywords:
  10. Data Envelopment ; Electricity Distribution Network ; Reliability Indicators ; Reward-Penalty Scheme ; Legislation ; Fuzzy C-Means (FCM)Clustering

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