Detailed Non-Linear Constrained Multi-Objective Optimal Operation of Power Systems Including Renewable Energy Sources

Duy C. Huynh; Hong V. Nguyen; Matthew W. Dunnigan

doi:10.1007/978-981-15-2317-5_66

Detailed Non-Linear Constrained Multi-Objective Optimal Operation of Power Systems Including Renewable Energy Sources

Duy C. Huynh^*
, Hong V. Nguyen
, Matthew W. Dunnigan

^*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

A modified cuckoo search (MCS) algorithm is proposed in this paper for an optimal operation problem of power systems with renewable energy sources including solar and wind energy sources. A non-linear constrained multi-objective optimal operation problem is formulated and detailed for an integrated power system in order to make it more realistic. Furthermore, the cuckoo search (CS) algorithm is modified to increase the convergence rate that is called the MCS algorithm. This variant mentions the step size of the Lévy flight. The modified IEEE 10-generator power system with integrated solar and wind power sources is considered in this paper. The numerical results on the above power system confirm the effectiveness of the proposal for the optimal operation of the integrated power system. A comparison with the CS algorithm and variants of the particle swarm optimization (PSO) algorithm indicates the superiority of the MCS algorithm for resolving complicated optimal operation problems of integrated power systems.

Original language	English
Title of host publication	InECCE 2019
Publisher	Springer
Pages	795-808
Number of pages	14
ISBN (Electronic)	9789811523175
ISBN (Print)	9789811523168
DOIs	https://doi.org/10.1007/978-981-15-2317-5_66
Publication status	Published - 24 Mar 2020
Event	5th International Conference on Electrical, Control and Computer Engineering 2019 - Kuantan, Malaysia Duration: 29 Jul 2019 → 29 Jul 2019

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	632
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	5th International Conference on Electrical, Control and Computer Engineering 2019
Abbreviated title	InECCE 2019
Country/Territory	Malaysia
City	Kuantan
Period	29/07/19 → 29/07/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Integrated power systems
Optimal operation

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-15-2317-5_66

Cite this

@inproceedings{533cd976ead84db097aade0a80d0c78c,

title = "Detailed Non-Linear Constrained Multi-Objective Optimal Operation of Power Systems Including Renewable Energy Sources",

abstract = "A modified cuckoo search (MCS) algorithm is proposed in this paper for an optimal operation problem of power systems with renewable energy sources including solar and wind energy sources. A non-linear constrained multi-objective optimal operation problem is formulated and detailed for an integrated power system in order to make it more realistic. Furthermore, the cuckoo search (CS) algorithm is modified to increase the convergence rate that is called the MCS algorithm. This variant mentions the step size of the L{\'e}vy flight. The modified IEEE 10-generator power system with integrated solar and wind power sources is considered in this paper. The numerical results on the above power system confirm the effectiveness of the proposal for the optimal operation of the integrated power system. A comparison with the CS algorithm and variants of the particle swarm optimization (PSO) algorithm indicates the superiority of the MCS algorithm for resolving complicated optimal operation problems of integrated power systems.",

keywords = "Integrated power systems, Optimal operation",

author = "Huynh, \{Duy C.\} and Nguyen, \{Hong V.\} and Dunnigan, \{Matthew W.\}",

year = "2020",

month = mar,

day = "24",

doi = "10.1007/978-981-15-2317-5\_66",

language = "English",

isbn = "9789811523168",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer",

pages = "795--808",

booktitle = "InECCE 2019",

note = "5th International Conference on Electrical, Control and Computer Engineering 2019, InECCE 2019 ; Conference date: 29-07-2019 Through 29-07-2019",

}

Huynh, DC, Nguyen, HV & Dunnigan, MW 2020, Detailed Non-Linear Constrained Multi-Objective Optimal Operation of Power Systems Including Renewable Energy Sources. in InECCE 2019. Lecture Notes in Electrical Engineering, vol. 632, Springer, pp. 795-808, 5th International Conference on Electrical, Control and Computer Engineering 2019, Kuantan, Malaysia, 29/07/19. https://doi.org/10.1007/978-981-15-2317-5_66

TY - GEN

T1 - Detailed Non-Linear Constrained Multi-Objective Optimal Operation of Power Systems Including Renewable Energy Sources

AU - Huynh, Duy C.

AU - Nguyen, Hong V.

AU - Dunnigan, Matthew W.

PY - 2020/3/24

Y1 - 2020/3/24

N2 - A modified cuckoo search (MCS) algorithm is proposed in this paper for an optimal operation problem of power systems with renewable energy sources including solar and wind energy sources. A non-linear constrained multi-objective optimal operation problem is formulated and detailed for an integrated power system in order to make it more realistic. Furthermore, the cuckoo search (CS) algorithm is modified to increase the convergence rate that is called the MCS algorithm. This variant mentions the step size of the Lévy flight. The modified IEEE 10-generator power system with integrated solar and wind power sources is considered in this paper. The numerical results on the above power system confirm the effectiveness of the proposal for the optimal operation of the integrated power system. A comparison with the CS algorithm and variants of the particle swarm optimization (PSO) algorithm indicates the superiority of the MCS algorithm for resolving complicated optimal operation problems of integrated power systems.

AB - A modified cuckoo search (MCS) algorithm is proposed in this paper for an optimal operation problem of power systems with renewable energy sources including solar and wind energy sources. A non-linear constrained multi-objective optimal operation problem is formulated and detailed for an integrated power system in order to make it more realistic. Furthermore, the cuckoo search (CS) algorithm is modified to increase the convergence rate that is called the MCS algorithm. This variant mentions the step size of the Lévy flight. The modified IEEE 10-generator power system with integrated solar and wind power sources is considered in this paper. The numerical results on the above power system confirm the effectiveness of the proposal for the optimal operation of the integrated power system. A comparison with the CS algorithm and variants of the particle swarm optimization (PSO) algorithm indicates the superiority of the MCS algorithm for resolving complicated optimal operation problems of integrated power systems.

KW - Integrated power systems

KW - Optimal operation

UR - https://www.scopus.com/pages/publications/85083080792

U2 - 10.1007/978-981-15-2317-5_66

DO - 10.1007/978-981-15-2317-5_66

M3 - Conference contribution

AN - SCOPUS:85083080792

SN - 9789811523168

T3 - Lecture Notes in Electrical Engineering

SP - 795

EP - 808

BT - InECCE 2019

PB - Springer

T2 - 5th International Conference on Electrical, Control and Computer Engineering 2019

Y2 - 29 July 2019 through 29 July 2019

ER -

Detailed Non-Linear Constrained Multi-Objective Optimal Operation of Power Systems Including Renewable Energy Sources

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this