Operation Planning of Standalone Maritime Power Systems Using Particle Swarm Optimization

Research output: Contribution to book/anthology/report/conference proceedingConference abstract in proceedingResearchpeer-review

Abstract

This paper presents the power management system (PMS) that relies on optimal power planning and maximum energy efficiency in dynamic positioning (DP) drilling vessel. Nowadays, it is becoming an improving demand for higher precision and decreases ship motion induced by environmental disturbance such as wind, waves, and sea current, which leads to the use of power generation more efficient. According to this, an efficient strategy solution and schedule have increased significantly for power management of diesel generator (DG) units on marine vessels as an independent microgrid to the utility grid. Thus, the power management system (PMS) of vessels is proposed to monitor and prevent the blackout by using the model predictive controller (MPC) based on optimal control method in order to estimate the future power demand in the hostile environment. Due to nonlinear characteristics of diesel generators, such as power ramp rate limits and non-smooth cost functions, a particle swarm optimization (PSO) is applied to solve the economic dispatch problem for a dynamic system. The simulation results demonstrate that the proposed method can improve ED operation problems more efficiently while meeting DGs constraints.
Original languageEnglish
Title of host publicationProceedings of 2019 International Conference on Electrical, Control And Instrumentation Engineering (ICECIE’2019)
Number of pages6
PublisherIEEE Press
Publication dateNov 2019
Publication statusPublished - Nov 2019
Event2019 International Conference on Electrical, Control And Instrumentation Engineering (ICECIE’2019) - Kuala Lumpur, Malaysia
Duration: 25 Nov 201925 Nov 2019

Conference

Conference2019 International Conference on Electrical, Control And Instrumentation Engineering (ICECIE’2019)
CountryMalaysia
CityKuala Lumpur
Period25/11/201925/11/2019

Fingerprint

Particle swarm optimization (PSO)
Planning
Dynamic positioning
Cost functions
Power generation
Energy efficiency
Drilling
Ships
Dynamical systems
Controllers
Economics
Power management

Keywords

  • Power management system, economic dispatch, particle swarm optimization, the dynamic positioning system

Cite this

Mehrzadi, M., Lien Su , C., Terriche, Y., Vasquez, J. C., & Guerrero, J. M. (2019). Operation Planning of Standalone Maritime Power Systems Using Particle Swarm Optimization. In Proceedings of 2019 International Conference on Electrical, Control And Instrumentation Engineering (ICECIE’2019) IEEE Press.
Mehrzadi, Mojtaba ; Lien Su , Chun ; Terriche, Yacine ; Vasquez, Juan C. ; Guerrero, Josep M. / Operation Planning of Standalone Maritime Power Systems Using Particle Swarm Optimization. Proceedings of 2019 International Conference on Electrical, Control And Instrumentation Engineering (ICECIE’2019). IEEE Press, 2019.
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abstract = "This paper presents the power management system (PMS) that relies on optimal power planning and maximum energy efficiency in dynamic positioning (DP) drilling vessel. Nowadays, it is becoming an improving demand for higher precision and decreases ship motion induced by environmental disturbance such as wind, waves, and sea current, which leads to the use of power generation more efficient. According to this, an efficient strategy solution and schedule have increased significantly for power management of diesel generator (DG) units on marine vessels as an independent microgrid to the utility grid. Thus, the power management system (PMS) of vessels is proposed to monitor and prevent the blackout by using the model predictive controller (MPC) based on optimal control method in order to estimate the future power demand in the hostile environment. Due to nonlinear characteristics of diesel generators, such as power ramp rate limits and non-smooth cost functions, a particle swarm optimization (PSO) is applied to solve the economic dispatch problem for a dynamic system. The simulation results demonstrate that the proposed method can improve ED operation problems more efficiently while meeting DGs constraints.",
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Mehrzadi, M, Lien Su , C, Terriche, Y, Vasquez, JC & Guerrero, JM 2019, Operation Planning of Standalone Maritime Power Systems Using Particle Swarm Optimization. in Proceedings of 2019 International Conference on Electrical, Control And Instrumentation Engineering (ICECIE’2019). IEEE Press, 2019 International Conference on Electrical, Control And Instrumentation Engineering (ICECIE’2019), Kuala Lumpur, Malaysia, 25/11/2019.

Operation Planning of Standalone Maritime Power Systems Using Particle Swarm Optimization. / Mehrzadi, Mojtaba; Lien Su , Chun; Terriche, Yacine; Vasquez, Juan C.; Guerrero, Josep M.

Proceedings of 2019 International Conference on Electrical, Control And Instrumentation Engineering (ICECIE’2019). IEEE Press, 2019.

Research output: Contribution to book/anthology/report/conference proceedingConference abstract in proceedingResearchpeer-review

TY - ABST

T1 - Operation Planning of Standalone Maritime Power Systems Using Particle Swarm Optimization

AU - Mehrzadi, Mojtaba

AU - Lien Su , Chun

AU - Terriche, Yacine

AU - Vasquez, Juan C.

AU - Guerrero, Josep M.

PY - 2019/11

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N2 - This paper presents the power management system (PMS) that relies on optimal power planning and maximum energy efficiency in dynamic positioning (DP) drilling vessel. Nowadays, it is becoming an improving demand for higher precision and decreases ship motion induced by environmental disturbance such as wind, waves, and sea current, which leads to the use of power generation more efficient. According to this, an efficient strategy solution and schedule have increased significantly for power management of diesel generator (DG) units on marine vessels as an independent microgrid to the utility grid. Thus, the power management system (PMS) of vessels is proposed to monitor and prevent the blackout by using the model predictive controller (MPC) based on optimal control method in order to estimate the future power demand in the hostile environment. Due to nonlinear characteristics of diesel generators, such as power ramp rate limits and non-smooth cost functions, a particle swarm optimization (PSO) is applied to solve the economic dispatch problem for a dynamic system. The simulation results demonstrate that the proposed method can improve ED operation problems more efficiently while meeting DGs constraints.

AB - This paper presents the power management system (PMS) that relies on optimal power planning and maximum energy efficiency in dynamic positioning (DP) drilling vessel. Nowadays, it is becoming an improving demand for higher precision and decreases ship motion induced by environmental disturbance such as wind, waves, and sea current, which leads to the use of power generation more efficient. According to this, an efficient strategy solution and schedule have increased significantly for power management of diesel generator (DG) units on marine vessels as an independent microgrid to the utility grid. Thus, the power management system (PMS) of vessels is proposed to monitor and prevent the blackout by using the model predictive controller (MPC) based on optimal control method in order to estimate the future power demand in the hostile environment. Due to nonlinear characteristics of diesel generators, such as power ramp rate limits and non-smooth cost functions, a particle swarm optimization (PSO) is applied to solve the economic dispatch problem for a dynamic system. The simulation results demonstrate that the proposed method can improve ED operation problems more efficiently while meeting DGs constraints.

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Mehrzadi M, Lien Su C, Terriche Y, Vasquez JC, Guerrero JM. Operation Planning of Standalone Maritime Power Systems Using Particle Swarm Optimization. In Proceedings of 2019 International Conference on Electrical, Control And Instrumentation Engineering (ICECIE’2019). IEEE Press. 2019