Evaluati on of long-term start up costs impact on short-term price based operational optimization of a CCGT using MILP - Publication - Bridge of Knowledge

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Evaluati on of long-term start up costs impact on short-term price based operational optimization of a CCGT using MILP

Abstract

An increasing share of the weather-dependent RES generation in the power system leads to the growing importance of flexibility of conventional power plants. They were usually designed for base load operation and it is a challenge to determine the actual long-term cycling costs, which account for an increase in maintenance and overhaul expenditures, increased forced outage rates and shortened life expectancy of the plant and components. In this paper, the overall impact of start up costs is evaluated by formulating and solving price based unit commitment problem (PBUC). The electricity spot market is considered as a measure for remunerating flexibility. This approach is applied to a real-life case study based on the 70 MWe PGE Gorzów CCGT power plant. Different operation modes are calculated and results are used to derive a mixed integer linear programming (MILP) model to optimize the operation of the plant. The developed mathematical model is implemented in Python within the frame of the PuLP library and solved using GUROBI. Results of the application of the method to a numerical example are presented.

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Category:
Articles
Type:
artykuły w czasopismach
Published in:
E3S Web of Conferences no. 137,
ISSN:
Language:
English
Publication year:
2019
Bibliographic description:
Gotzman S., Ziόłkowski P., Badur J.: Evaluati on of long-term start up costs impact on short-term price based operational optimization of a CCGT using MILP// E3S Web of Conferences -Vol. 137, (2019), s.01012-
DOI:
Digital Object Identifier (open in new tab) 10.1051/e3sconf/201913701012
Verified by:
Gdańsk University of Technology

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