Optimal Distribution Generation Sizing via Fast Sequential Quadratic Programming

In this paper a new methodology is proposed to solve the optimal Distributed Generation (DG) sizing problem. The main feature of the proposed approach is utilizing the radial power flow method to satisfy the power flow equality constraints as a substitute of the Newton method used in the conventiona...

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Bibliographic Details
Main Authors: AlHajri, M.F., El-Hawary, M.E.
Format: Conference Proceeding
Language:English
Subjects:
Distributed control
Distributed power generation
Distribution Generation
Equations
Load flow
Mesh generation
Newton method
Power generation
Power systems
Quadratic programming
Radial Power Flow
Sequential Quadratic Programming
System testing
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Summary:In this paper a new methodology is proposed to solve the optimal Distributed Generation (DG) sizing problem. The main feature of the proposed approach is utilizing the radial power flow method to satisfy the power flow equality constraints as a substitute of the Newton method used in the conventional Sequential Quadratic Programming (SQP). The proposed technique, Fast SQP, is tested on 69-bus and 33-bus radial systems. Simulation results indicated that the execution time of the developed technique is significantly reduced by a factor of 2/3 compared to the conventional SQP.
DOI:10.1109/LESCPE.2007.4437354