Title :
Approximating expected marginal production cost with capacity commitment requirements
Author :
Jacobs, Jonathan M.
Author_Institution :
Pacific Gas & Electr. Co., San Francisco, CA, USA
fDate :
8/1/1995 12:00:00 AM
Abstract :
The authors consider methods for rapid computation of the cost function for a power system with no energy-limited units, but with capacity commitment constraints. Their goal is to embed such a computation in an optimization system for generation scheduling. The equivalent load method is unsuitable due to the commitment requirement. They compare crude Monte Carlo estimation, control variate estimation, direct approximation by orthogonal polynomials (“method of moments”), indirect approximation (approximation of an effective or linear-equivalent load function) by orthogonal polynomials, and indirect approximation by Chebyshev interpolation. They report computational results comparing the timing and accuracy of various methods. They find indirect approximation, in particular using the effective load, to be superior to moment methods
Keywords :
Chebyshev approximation; Monte Carlo methods; approximation theory; costing; economics; interpolation; load (electric); optimisation; polynomials; power system planning; scheduling; Chebyshev interpolation; accuracy; capacity commitment requirements; control variate estimation; crude Monte Carlo estimation; direct approximation; effective load function; equivalent load method; expected marginal production cost; generation scheduling optimisation; indirect approximation; linear-equivalent load function; method of moments; orthogonal polynomials; power system; timing; Chebyshev approximation; Cost function; Distributed power generation; Embedded computing; Interpolation; Monte Carlo methods; Polynomials; Power systems; Processor scheduling; Production;
Journal_Title :
Power Systems, IEEE Transactions on