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روش های اصلاح شده برای مدیریت بار در شبکه های هوشمند
بهرامی، شهاب Bahrami, Shahab
- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 43402 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Parniani, Mostafa
- Abstract:
- Implementation of various incentive-based demand response strategies has great potential to decrease peak load growth and customer electricity bill cost. Using advanced metering and automatic demand management makes it possible to optimize energy consumption, to reduce grid loss, and to release generation capacities for the sake of providing sustainable electricity supply, and reducing electricity bills for the customers. With these objectives, this thesis examines the previously suggested load scheduling programs in both residential and industrial sectors, and proposes new practical strategies for load management. This thesis has mainly focuses on three subdivisions of load management problem, which are residential load scheduling, electric vehicles charging scheduling, and industrial load scheduling
- Keywords:
- Electric Motor Vehicles ; Load Leveling ; Smart Power Grid ; Demand Response ; Peak Load Shaving
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