Hostname: page-component-76fb5796d-2lccl Total loading time: 0 Render date: 2024-04-29T09:06:41.901Z Has data issue: false hasContentIssue false

On the optimal composition of electricity grids with unreliable units: solvable models

Published online by Cambridge University Press:  01 July 2016

D. J. Gates*
Affiliation:
CSIRO Division of Mathematics and Statistics
*
Postal address: CSIRO Division of Mathematics and Statistics, P.O. Box 1965, Canberra City, ACT 2601, Australia.

Abstract

For a large electricity grid comprising many units (plants) of various types, such as coal, oil, nuclear, hydro, etc., with known unreliabilities (outage rates) we study the optimal (i.e. the cheapest) total capacity, or numbers, of each type of unit. Existing treatments of the problem involve numerical methods and approximations of unknown accuracy. For a range of cases, we find explicit solutions. This extends the known explicit solutions, which are confined to completely reliable units. The cases we analyse are (I) a demand (load) which has a shifted Rayleigh distribution—a good approximation to the real load-duration curve—with some restriction on reliability (big units are more reliable) and (II) an exponential load distribution—which is unrealistic—with no restrictions on reliability. In both cases, the solutions reduce to transformed versions of the exact solutions for totally reliable units and, like the latter, can be exhibited by means of a cost polygon.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1985 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anderson, T. W. (1958) An Introduction to Multivariate Statistical Analysis. Wiley, New York.Google Scholar
Baleriaux, H., Jamoulle, E. and De Guertechin, Fr. L. (1967) Simulation de l’exploitation d’un par de machines thermiques de production d’electricité couplé à de stations de pompage. Revue E, Soc. Belge des Electriciens , 5(7), 324.Google Scholar
Booth, R. R. (1972a) Optimal generation planning considering uncertainty. IEEE Trans. Power Apparatus and Systems PAS-91, 7071.CrossRefGoogle Scholar
Booth, R. R. (1972b) Power system simulation model based on probability analysis. IEEE Trans. Power Apparatus and Systems PAS-91, 6269.Google Scholar
Cote, G. and Laughton, M. A. (1980) Prediction of reserve requirements in generation planning. Electrical Power and Energy Systems. 2(2), 8795.Google Scholar
Garver, L. L. (1966) Effective load-carrying capability of generating units. IEEE Trans. Power Apparatus and Systems PAS-85, 910919.Google Scholar
Gates, D. J. and Westcott, M. (1983) Optimal operation of unreliable supply systems. Preprint.Google Scholar
Haslett, J. and Diesendorf, M. (1981) The capacity credit of wind power: a theoretical analysis. Solar Energy 26, 391401.Google Scholar
Juseret, R. (1978) Long term optimisation of electrical system generation by convex programming. Math. Program. Study 9, 186195.Google Scholar
Marsh, W. D. (1980) Economics of Electric Utility Power Generation. Oxford University Press, New York.Google Scholar
Martin, B. and Diesendorf, M. (1982) Optimal thermal mix in electricity grids containing wind power. Electrical Power and Energy Systems 4(3), 155161.CrossRefGoogle Scholar
Martin, B. and Diesendorf, M. (1983) The economics of large-scale wind power in an optimally mixed CEGB electricity grid. Energy Policy 30, 259266.Google Scholar
Maryssael, F. and Baleriaux, H. (1965) Composition optimale d’un par de production d’electricité. Rev. Soc. R. Belge. Ing. Ind. , No. 9/10.Google Scholar
Munasinghe, M. (1979) The Economics of Power System Reliability and Planning. John Hopkins University Press, Baltimore.Google Scholar
Noonan, F. and Giglio, R. J. (1977) Planning electric power generation: a nonlinear mixed integer model employing Benders decomposition. Management. Sci. 23, 946956.Google Scholar
Parzen, E. (1960) Modern Probability Theory and its Applications. Wiley, New York.Google Scholar
Phillips, D., Jenkin, F. P., Pritchard, J. A. F. and Rybicki, K. (1969) A mathematical model for determining generating plant mix. Proc. Third Power Systems Computations Conf. , Rome.Google Scholar
Rao, C. R. (1973) Linear Statistical Inference and its Applications. Wiley, New York.Google Scholar
Schenk, K. F., Chan, S. and Rau, N. S. (1981) Incorporation of a method of moments in Wasp-II case study. Electrical Power and Energy Systems 3(3), 159166.CrossRefGoogle Scholar
Scherer, C. R. and Joe, L. (1977) Electric power system planning with explicit stochastic reserves constraint. Management. Sci. 23, 978985.CrossRefGoogle Scholar
Zangwill, I. W. (1969) Non-linear Programming. Prentice-Hall, Englewood Cliffs, NJ.Google Scholar