The quadratic interior point method solving power system optimization problems
- Howard Univ., Washington, DC (United States). Dept. of Electrical Engineering
- Bonneville Power Administration, Portland, OR (United States)
- Electric Power Research Inst., Palo Alto, CA (United States)
Karmarkar's interior point method as a computation method for solving linear programming (LP) has attracted interests in the operation research community, due to its efficiency, reliability, and accuracy. This paper presents an extended quadratic interior point (EQIP) method, based on improvement of initial condition for solving both linear and quadratic programming problems, to solve power system optimization problem (PSOP), such as economic dispatch (ED) and Var planning (VP) problems. The EQIP method is able to accommodate the nonlinearity in objectives and constraints. The scheme is demonstrated on several IEEE standard systems and is capable of achieving fast convergence and improvement in computational speed over an existing efficient Simplex, such as the MINOS code. The number of iterations during the computation is relatively insensitive to number of controls and constraints. Moreover, the proposed EQIP method guarantees a global optimum within the interior feasible region.
- OSTI ID:
- 6843864
- Journal Information:
- IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States), Vol. 9:3; ISSN 0885-8950
- Country of Publication:
- United States
- Language:
- English
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