Fuzzy power system reliability model based on value-at-risk

Bo Wang; You Li; Junzo Watada

doi:10.1007/978-3-642-15390-7_46

Fuzzy power system reliability model based on value-at-risk

Bo Wang^*, You Li, Junzo Watada

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

Conventional power system optimization problems deal with the power demand and spinning reserve through real values. In this research, we employ fuzzy variables to better characterize these values in uncertain environment. In building the fuzzy power system reliable model, fuzzy Value-at-Risk (VaR) can evaluate the greatest value under given confidence level and is a new technique to measure the constraints and system reliability. The proposed model is a complex nonlinear optimization problem which cannot be solved by simplex algorithm. In this paper, particle swarm optimization (PSO) is used to find optimal solution. The original PSO algorithm is improved to straighten out local convergence problem. Finally, the proposed model and algorithm are exemplified by one numerical example.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	445-453
Number of pages	9
Volume	6277 LNAI
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-15390-7_46
Publication status	Published - 2010
Event	14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010 - Cardiff Duration: 2010 Sept 8 → 2010 Sept 10

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6277 LNAI
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010
City	Cardiff
Period	10/9/8 → 10/9/10

Keywords

Fuzzy variable
Improved particle swarm optimization algorithm
System reliability
Value-at-Risk

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-642-15390-7_46

Cite this

Wang, B., Li, Y., & Watada, J. (2010). Fuzzy power system reliability model based on value-at-risk. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 6277 LNAI, pp. 445-453). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6277 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-15390-7_46

Fuzzy power system reliability model based on value-at-risk. / Wang, Bo; Li, You; Watada, Junzo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6277 LNAI PART 2. ed. 2010. p. 445-453 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6277 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, B, Li, Y & Watada, J 2010, Fuzzy power system reliability model based on value-at-risk. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 6277 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6277 LNAI, pp. 445-453, 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010, Cardiff, 10/9/8. https://doi.org/10.1007/978-3-642-15390-7_46

Wang B, Li Y, Watada J. Fuzzy power system reliability model based on value-at-risk. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 6277 LNAI. 2010. p. 445-453. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-15390-7_46

Wang, Bo ; Li, You ; Watada, Junzo. / Fuzzy power system reliability model based on value-at-risk. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6277 LNAI PART 2. ed. 2010. pp. 445-453 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Fuzzy power system reliability model based on value-at-risk

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