A Context-Based Fuzzy Model for a Generator Bidding System

Widjaja, Moeljono (2010) A Context-Based Fuzzy Model for a Generator Bidding System. 2nd International Conferences on Soft Computing, Intelligent System and Information Technology 2010.

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Abstract

This paper proposes a novel approach to strategic bidding in competitive electricity markets that applies a context-based fuzzy model to a generator bidding system. The proposed approach allows the user to modify the weights in the model according to the user’s perception of the criteria set in the context. In this approach, Dynamic Programming, which can handle an inter-period optimization of the dispatch of a generator, is applied to the developed fuzzy model to for- mulate a daily bid of a generator. Practical aspects of for- mulating the bid are discussed. In addition, the proposed approach is validated by applying it to a market model de- veloped on the market simulator. The performance of the proposed approach is compared to the performance of other techniques such as generic bidding strategies. The valida- tions show that the proposed approach has a significant ad- vantage over generic bidding strategies: it is able to identify a critical market condition where there is an incentive for a generator to exercise its market power.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 003 Systems (Computer Modeling and Simulation)
000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming
Divisions: Faculty of Engineering & Informatics > Informatics
Depositing User: Administrator UMN Library
Date Deposited: 18 Oct 2021 03:19
Last Modified: 18 Oct 2021 03:19
URI: https://kc.umn.ac.id/id/eprint/18833

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