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Title: A new technique for simulating the operation of multiple assigned-energy generating units suitable for use in generation systems expansion planning models

Abstract

A new technique is presented for probabilistically simulating the operation of power systems which include multiple assigned-energy units (e.g., conventional hydroelectric plants or groups of plants, and, under certain circumstances, nuclear units, conventional thermal units operating under ''take-or-pay'' fuel supply contracts, and cogeneration units). Within the context of the probabilistic simulation, the new technique is completely rigorous. Statistical comulants are used to represent equivalent load. The new technique has been successfully applied in an advanced technology evaluation and expansion model--the TVA TARANTULA model. This application has been accomplished without sacrificing other simulation capabilities such as random partial outages, maintenance scheduling based on LOLP and short-term load forecast uncertainty, and the ability to aggregate (without loss of rigor) groups of many small units for purposes of computational expediency. A description is provided of tests performed to evaluate the new technique.

Authors:
;
Publication Date:
Research Org.:
Ohio University, Athens, OH 45701
OSTI Identifier:
5890657
Resource Type:
Journal Article
Journal Name:
IEEE Trans. Power Appar. Syst.; (United States)
Additional Journal Information:
Journal Volume: PAS-101:10
Country of Publication:
United States
Language:
English
Subject:
20 FOSSIL-FUELED POWER PLANTS; POWER GENERATION; SIMULATION; EVALUATION; EXPANSION; HYDROELECTRIC POWER PLANTS; LOAD MANAGEMENT; MAINTENANCE; NUCLEAR FACILITIES; OPERATION; OUTAGES; PLANNING; PROBABILITY; TESTING; MANAGEMENT; POWER PLANTS; 200100* - Fossil-Fueled Power Plants- Power Plants & Power Generation

Citation Formats

Manhire, B, and Jenkins, R T. A new technique for simulating the operation of multiple assigned-energy generating units suitable for use in generation systems expansion planning models. United States: N. p., 1982. Web. doi:10.1109/TPAS.1982.317036.
Manhire, B, & Jenkins, R T. A new technique for simulating the operation of multiple assigned-energy generating units suitable for use in generation systems expansion planning models. United States. https://doi.org/10.1109/TPAS.1982.317036
Manhire, B, and Jenkins, R T. 1982. "A new technique for simulating the operation of multiple assigned-energy generating units suitable for use in generation systems expansion planning models". United States. https://doi.org/10.1109/TPAS.1982.317036.
@article{osti_5890657,
title = {A new technique for simulating the operation of multiple assigned-energy generating units suitable for use in generation systems expansion planning models},
author = {Manhire, B and Jenkins, R T},
abstractNote = {A new technique is presented for probabilistically simulating the operation of power systems which include multiple assigned-energy units (e.g., conventional hydroelectric plants or groups of plants, and, under certain circumstances, nuclear units, conventional thermal units operating under ''take-or-pay'' fuel supply contracts, and cogeneration units). Within the context of the probabilistic simulation, the new technique is completely rigorous. Statistical comulants are used to represent equivalent load. The new technique has been successfully applied in an advanced technology evaluation and expansion model--the TVA TARANTULA model. This application has been accomplished without sacrificing other simulation capabilities such as random partial outages, maintenance scheduling based on LOLP and short-term load forecast uncertainty, and the ability to aggregate (without loss of rigor) groups of many small units for purposes of computational expediency. A description is provided of tests performed to evaluate the new technique.},
doi = {10.1109/TPAS.1982.317036},
url = {https://www.osti.gov/biblio/5890657}, journal = {IEEE Trans. Power Appar. Syst.; (United States)},
number = ,
volume = PAS-101:10,
place = {United States},
year = {Fri Oct 01 00:00:00 EDT 1982},
month = {Fri Oct 01 00:00:00 EDT 1982}
}