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Distribution System Planning Considering Demand Response Programs

Moradi Sarvestani, Sajjad | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54649 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fotuhi Firuzabad, Mahmud
  7. Abstract:
  8. Nowadays, moving toward new technologies and smart grids is a successful way to prevail over distribution system challenges. In the presence of smart grids, demand-side management (DSM) is capable to affect the expansion of network resources. An effective DSM tool is demand response (DR). In this thesis, distribution system planning (DSP) considering DR is presented and the effects of DR on DSP are investigated. This thesis proposes direct load control (DLC) DR which is an incentive-based program (IBP) where a utility offers financial incentives to the customers to control their consumption through installing smart meters and switches. The utility deploys the DR program to reduce network daily peak load, which is formulated as a linear programming model in this thesis. Uncertainties associated with the DR program are also taken into account using the spherical simplex unscented transformation (SSUT) method. The DR is implemented on hourly data, however, integrating its high-resolution results into the DSP can cause intractability. Hence, to alleviate this issue, a scenario definition and scenario reduction model using the K-means clustering algorithm are proposed. Besides, feeder reinforcement, distributed generation (DG) installation, including solar panels, wind turbines, and diesel generators are considered the other network expansion alternatives. The objective of the proposed DSP model is to minimize the net present value of investment, operating, and maintenance costs in the planning horizon. In this thesis, a genetic algorithm is utilized to optimize the DSP problem. The proposed method is applied to the modified IEEE 33-Bus test system and effects of the DR program and DG installation on DSP are investigated
  9. Keywords:
  10. Demand Response ; Distributed Generation ; Distribution Networks Planning ; Renewable Energy Resources ; Direct Load ; Feeder Reinforcement

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