Estimation of marginal system costs and emissions of changes in generating unit characteristics

A method is presented for estimating the marginal system costs and emissions caused by the changes in the fixed costs, variable cost, emissions or capacity of generating units. Changes in dispatch order are accounted for. The method is based on a second-order Taylor series expansion of unit output as calculated by probabilistic production simulation. An approach is developed to compute the first and second derivatives of expected generation with respect to the capacity of a unit, which are essential components of the Taylor series approximation. An illustrative application is presented. >

[1]  Lawrence Eisenberg,et al.  Economic-Enviromental Power Dispatch , 1975, IEEE Transactions on Systems, Man, and Cybernetics.

[2]  S. Vassos,et al.  A New Method for the Evaluation of Expected Energy Generation and Loss of Load Probability , 1984, IEEE Transactions on Power Apparatus and Systems.

[3]  X. Wang,et al.  Equivalent energy function approach to power system probabilistic modeling , 1988 .

[4]  A. Breipohl,et al.  Comparison of Probabilistic Production Cost Simulation Methods , 1989, IEEE Power Engineering Review.

[5]  Leonid Charny,et al.  Long-Range Generation Planning Using Generalized Benders' Decomposition: Implementation and Experience , 1984, Oper. Res..

[6]  R. R. Booth,et al.  Power System Simulation Model Based on Probability Analysis , 1972 .

[7]  J. Stremel,et al.  Production Costing Using the Cumulant Method of Representing the Equivalent Load Curve , 1980, IEEE Transactions on Power Apparatus and Systems.

[8]  Michael C. Caramanis,et al.  The Introduction of Non-Dispatchable Technologies as Decision Variables in Long-Term Generation Expansion Models , 1982, IEEE Power Engineering Review.

[9]  George Gross,et al.  The mixture of normals approximation technique for equivalent load duration curves , 1988 .

[10]  Jeremy A. Bloom,et al.  Solving an Electricity Generating Capacity Expansion Planning Problem by Generalized Benders' Decomposition , 1983, Oper. Res..

[11]  N.S. Rau,et al.  Expected Energy Production Costs by the Method of Moments , 1980, IEEE Transactions on Power Apparatus and Systems.

[12]  J. S. Heslin,et al.  A multiobjective production costing model for analyzing emissions dispatching and fuel switching (of power stations) , 1989 .

[13]  H. T. Yang,et al.  A Recursive Approach to Calculating Derivatives of Production Cost and Reliability of Generation System , 1989, IEEE Power Engineering Review.

[14]  H. Duran.  A Recursive Approach to the Cumulant Method of Calculating Reliability and Production Cost , 1985, IEEE Transactions on Power Apparatus and Systems.

[15]  J. Bloom.  Long-Range Generation Planning Using Decomposition and Probabilistic Simulation , 1982, IEEE Transactions on Power Apparatus and Systems.

[16]  Roy Billinton,et al.  Reliability evaluation of power systems , 1984 .

[17]  Stephen M. Haas,et al.  Derivatives in Probabilistic Simulations of Electric Power System Operations , 1986, IEEE Transactions on Power Systems.

[18]  J. K. Delson,et al.  Controlled Emission Dispatch , 1974 .

[19]  J.B. Cadogan,et al.  Sulfur oxide emissions management for electric power systems , 1977, IEEE Transactions on Power Apparatus and Systems.