Moth Swarm Algorithm Based Approach for the ACOPF Considering Wind and Tidal Energy

Serhat Duman; Lei Wu; Jie Li

doi:10.1007/978-3-030-36178-5_72

Moth Swarm Algorithm Based Approach for the ACOPF Considering Wind and Tidal Energy

Serhat Duman, Lei Wu, Jie Li

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

10 Scopus citations

Abstract

In the last decades, optimal power flow (OPF) problem is becoming one of the most important nonlinear and non-convex problems for the planning and operation of large-scale modern electrical power grids. In this study, the OPF problem with the consideration of two types of renewable energy sources (RES), tidal and wind energy, is studied. The Gumbel PDF is used to calculate power output of tidal energy. The proposed OPF problem is solved by Moth Swarm Algorithm (MSA), and tested on an IEEE 30-bus test system via two different cases with and without the consideration of prohibited operating zones. The simulation results show the effectiveness of the MSA based OPF approach.

Original language	English (US)
Title of host publication	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	830-843
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-030-36178-5_72
State	Published - 2020
Externally published	Yes

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	43
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

All Science Journal Classification (ASJC) codes

Information Systems
Electrical and Electronic Engineering
Computer Networks and Communications
Media Technology
Computer Science Applications

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10.1007/978-3-030-36178-5_72

Cite this

Duman, S., Wu, L., & Li, J. (2020). Moth Swarm Algorithm Based Approach for the ACOPF Considering Wind and Tidal Energy. In Lecture Notes on Data Engineering and Communications Technologies (pp. 830-843). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 43). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-36178-5_72

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abstract = "In the last decades, optimal power flow (OPF) problem is becoming one of the most important nonlinear and non-convex problems for the planning and operation of large-scale modern electrical power grids. In this study, the OPF problem with the consideration of two types of renewable energy sources (RES), tidal and wind energy, is studied. The Gumbel PDF is used to calculate power output of tidal energy. The proposed OPF problem is solved by Moth Swarm Algorithm (MSA), and tested on an IEEE 30-bus test system via two different cases with and without the consideration of prohibited operating zones. The simulation results show the effectiveness of the MSA based OPF approach.",

author = "Serhat Duman and Lei Wu and Jie Li",

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Duman, S, Wu, L & Li, J 2020, Moth Swarm Algorithm Based Approach for the ACOPF Considering Wind and Tidal Energy. in Lecture Notes on Data Engineering and Communications Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol. 43, Springer Science and Business Media Deutschland GmbH, pp. 830-843. https://doi.org/10.1007/978-3-030-36178-5_72

Moth Swarm Algorithm Based Approach for the ACOPF Considering Wind and Tidal Energy. / Duman, Serhat; Wu, Lei; Li, Jie.
Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, 2020. p. 830-843 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 43).

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

TY - CHAP

T1 - Moth Swarm Algorithm Based Approach for the ACOPF Considering Wind and Tidal Energy

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AB - In the last decades, optimal power flow (OPF) problem is becoming one of the most important nonlinear and non-convex problems for the planning and operation of large-scale modern electrical power grids. In this study, the OPF problem with the consideration of two types of renewable energy sources (RES), tidal and wind energy, is studied. The Gumbel PDF is used to calculate power output of tidal energy. The proposed OPF problem is solved by Moth Swarm Algorithm (MSA), and tested on an IEEE 30-bus test system via two different cases with and without the consideration of prohibited operating zones. The simulation results show the effectiveness of the MSA based OPF approach.

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Moth Swarm Algorithm Based Approach for the ACOPF Considering Wind and Tidal Energy

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