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پیادهسازی مطالعات بار مشترکین خانگی در شرکت توزیع نیروی برق تهران بزرگ بر اساس مشخصات منطقه ای و سطوح رفاه
محبتیان، امید Mohabbatian, Omid
Implementation of Load Studies for Residential Customers of Tehran Electricity Distribution Company based on Their Regional Characteristics and Welfare Levels
Mohabbatian, Omid | 2022
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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 54961 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Hajipour, Ehsan
- Abstract:
- Distribution companies typically use ADMD and coincidence factors to calculate aggregated loads. However, these factors have a significant impact on the selection of the optimal capacity of distribution network equipment; But so far, comprehensive studies at the level of single customers have not been implemented on the calculation of these factors. In this work, a comprehensive study has been conducted on residential customers in Tehran and the consumption data of 2121 residential customers, which were recorded during the summer of 2020, are used. The data were collected in two separate sets to investigate the effect of two factors: the type of cooling load and the welfare level of customers on the aggregated load in Tehran. Studies of this thesis show that the type of cooling system of customers (air conditioner, evaporative cooler, or central chiller) has a significant effect on the amount of aggregated load of customers, while the welfare level of residential customers does not have a significant effect on customers consumption. This thesis predicts the type of cooling load of single-phase customers using supervised machine learning algorithms. Also, using the copula, a new dataset containing 5,000 artificial customers was generated to cover more consumption patterns. By analyzing this data, this thesis presents a method for deriving the coincidence factor curve as a function of the number of customers. Finally, to verify the results, the consumption data of 145 electricity distribution substations in Tehran, which were recorded on an hourly basis in the summer of 2020, are used
- Keywords:
- Residential Customer ; Smart Meter System ; Coincidence Degree ; Peak Load of Power Consumption ; Meter Reading System ; After Diversity Maximum Demand (ADMD)Parameter ; Aggregated Load
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