Heuristic Optimization Techniques for Determining Optimal Reserve Structure of Power Generating Systems

Yi Ding; Lalit  Goel; Peng Wang; Yuanzhang Sun; Poh Chiang  Loh; Qiuwei Wu

doi:10.1007/978-1-4471-2207-4_10

Heuristic Optimization Techniques for Determining Optimal Reserve Structure of Power Generating Systems

Yi Ding, Lalit Goel, Peng Wang, Yuanzhang Sun, Poh Chiang Loh, Qiuwei Wu

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Abstract

Electric power generating systems are typical examples of multi-state systems (MSS). Sufficient reserve is critically important for maintaining generating system reliabilities. The reliability of a system can be increased by increasing the reserve capacity, noting that at the same time the reserve cost of the system will also increase. The reserve structure of a MSS should be determined based on striking a balance between the required reliability and the reserve cost. The objective of reserve management for a MSS is to schedule the reserve at the minimum system reserve cost while maintaining the required level of supply reliability to its customers. In previous research, Genetic Algorithm (GA) has been used to solve most reliability optimization problems. However, the GA is not very computationally efficient in some cases. In this chapter a new heuristic optimization technique—the particle swarm optimization has been used to determine the optimal reserve structure for power generating systems, which can
greatly improve the computational efficiency. The computational efficiency and accuracy of the proposed method have been compared with those of the GA technique in the illustrative example.

Original language	English
Title of host publication	Recent Advances in System Reliability : Signatures, Multi-state Systems and Statistical Inference
Editors	Anatoly Lisnianski, Ilia Frenkel
Publisher	Springer
Publication date	2012
Pages	145-154
Chapter	10
ISBN (Print)	978-1-4471-2206-7
ISBN (Electronic)	978-1-4471-2207-4
DOIs	https://doi.org/10.1007/978-1-4471-2207-4_10
Publication status	Published - 2012

Series	Springer Series in Reliability Engineering

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Ding, Y., Goel, L., Wang, P., Sun, Y., Loh, P. C., & Wu, Q. (2012). Heuristic Optimization Techniques for Determining Optimal Reserve Structure of Power Generating Systems. In A. Lisnianski, & I. Frenkel (Eds.), Recent Advances in System Reliability: Signatures, Multi-state Systems and Statistical Inference (pp. 145-154). Springer. https://doi.org/10.1007/978-1-4471-2207-4_10

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abstract = "Electric power generating systems are typical examples of multi-state systems (MSS). Sufficient reserve is critically important for maintaining generating system reliabilities. The reliability of a system can be increased by increasing the reserve capacity, noting that at the same time the reserve cost of the system will also increase. The reserve structure of a MSS should be determined based on striking a balance between the required reliability and the reserve cost. The objective of reserve management for a MSS is to schedule the reserve at the minimum system reserve cost while maintaining the required level of supply reliability to its customers. In previous research, Genetic Algorithm (GA) has been used to solve most reliability optimization problems. However, the GA is not very computationally efficient in some cases. In this chapter a new heuristic optimization technique—the particle swarm optimization has been used to determine the optimal reserve structure for power generating systems, which cangreatly improve the computational efficiency. The computational efficiency and accuracy of the proposed method have been compared with those of the GA technique in the illustrative example.",

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Ding, Y, Goel, L, Wang, P, Sun, Y, Loh, PC & Wu, Q 2012, Heuristic Optimization Techniques for Determining Optimal Reserve Structure of Power Generating Systems. in A Lisnianski & I Frenkel (eds), Recent Advances in System Reliability: Signatures, Multi-state Systems and Statistical Inference. Springer, Springer Series in Reliability Engineering, pp. 145-154. https://doi.org/10.1007/978-1-4471-2207-4_10

Heuristic Optimization Techniques for Determining Optimal Reserve Structure of Power Generating Systems. / Ding, Yi; Goel, Lalit ; Wang, Peng et al.
Recent Advances in System Reliability: Signatures, Multi-state Systems and Statistical Inference. ed. / Anatoly Lisnianski; Ilia Frenkel . Springer, 2012. p. 145-154 (Springer Series in Reliability Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

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Ding Y, Goel L, Wang P, Sun Y, Loh PC, Wu Q. Heuristic Optimization Techniques for Determining Optimal Reserve Structure of Power Generating Systems. In Lisnianski A, Frenkel I, editors, Recent Advances in System Reliability: Signatures, Multi-state Systems and Statistical Inference. Springer. 2012. p. 145-154. (Springer Series in Reliability Engineering). doi: 10.1007/978-1-4471-2207-4_10

Heuristic Optimization Techniques for Determining Optimal Reserve Structure of Power Generating Systems

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