A compromised multi-objective solution using fuzzy mixed integer goal programming for market-based short-term unit commitment problem

When implementing, the solution of single-objective unit commitment models may be dissatisfactory or inapplicable. This might mainly be due to not considering the secondary conflicting objectives from the policy-making in internal/external environment of generation companies in the developed models....

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Bibliographic Details
Published in:The Journal of the Operational Research Society Vol. 65; no. 1; pp. 23 - 36
Main Authors: Lotfi, M M, Ghaderi, S F
Format: Journal Article
Language:English
Published: London Taylor & Francis 01.01.2014
Palgrave Macmillan
Palgrave Macmillan UK
Taylor & Francis Ltd
Subjects:
Bilateral contracts
Business and Management
Competition
Costs
Decision making
Deregulation
Efficiency
Electric power
electricity
Electricity distribution
Emission allowances
fuzzy sets
General Paper
General Papers
Goal programming
Industrial plant emissions
Integer programming
Linear programming
Management
Market prices
Mathematical programming
Operations research
Operations Research/Decision Theory
planning
Pollutant emissions
Profits
Scheduling
Start up firms
Startups
Studies
Total costs
unit commitment
planning
unit commitment
electricity
goal programming
fuzzy sets
ISSN:0160-5682, 1476-9360
Online Access:Get full text
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Summary:When implementing, the solution of single-objective unit commitment models may be dissatisfactory or inapplicable. This might mainly be due to not considering the secondary conflicting objectives from the policy-making in internal/external environment of generation companies in the developed models. To attain a practical compromised multi-objective solution for the short-term unit commitment in the deregulated hybrid markets, a novel fuzzy mixed integer linear goal programme is developed in which several complementary objectives with lower relative importances are also incorporated. Non-linear characteristic curves of the generating units are approximated through the piece-wise linear functions. The fuzzy approach is proposed to handle the imprecise nature of the goals' target levels and priorities as well as some critical data. The critical aspects of power systems are considered in the model. The efficiency of the proposed approach is demonstrated using the experimental results inspired by a real case. The applicable nice feature of our model is that it can easily and efficiently be matched with a various line of unit commitment problems.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0160-5682
1476-9360
DOI:10.1057/jors.2012.172