Optimization of offshore grid planning considering onshore network expansions

Yang, Lu Feng; Fu, Yang; Huang, Lingling; Ren, Zixu; Jia, Feng

doi:10.1016/j.renene.2021.08.117

Cited by 15 publications

(10 citation statements)

References 19 publications

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“…Most research uses a combination of multiple objective functions, typically integrated through linear weighting. Notably, reference [120] describes multilayered optimization problems with distinct objectives for each layer.…”

Section: Power Collection System Optimization Of Offshore Wind Farmsmentioning

confidence: 99%

Review on the Application of Artificial Intelligence Methods in the Control and Design of Offshore Wind Power Systems

Song,

Shen,

Huang

et al. 2024

JMSE

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As global energy crises and climate change intensify, offshore wind energy, as a renewable energy source, is given more attention globally. The wind power generation system is fundamental in harnessing offshore wind energy, where the control and design significantly influence the power production performance and the production cost. As the scale of the wind power generation system expands, traditional methods are time-consuming and struggle to keep pace with the rapid development in wind power generation systems. In recent years, artificial intelligence technology has significantly increased in the research field of control and design of offshore wind power systems. In this paper, 135 highly relevant publications from mainstream databases are reviewed and systematically analyzed. On this basis, control problems for offshore wind power systems focus on wind turbine control and wind farm wake control, and design problems focus on wind turbine selection, layout optimization, and collection system design. For each field, the application of artificial intelligence technologies such as fuzzy logic, heuristic algorithms, deep learning, and reinforcement learning is comprehensively analyzed from the perspective of performing optimization. Finally, this report summarizes the status of current development in artificial intelligence technology concerning the control and design research of offshore wind power systems, and proposes potential future research trends and opportunities.

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Section: Power Collection System Optimization Of Offshore Wind Farmsmentioning

confidence: 99%

Review on the Application of Artificial Intelligence Methods in the Control and Design of Offshore Wind Power Systems

Song,

Shen,

Huang

et al. 2024

JMSE

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show abstract

“…For example, for the subsea pipe line transmission system, the processing capacity of the manifolds limits the number of connected wellheads, depending on their production rates [3]. For the subsea cable network for offshore wind power transmission, the power gathering capacity of the substations, the power loss along the cable, and the voltage magnitude of the facilities all affect the transmission network layout [21,22]. Additionally, the wake effect of an offshore wind farm results in a heterogeneous distribution of power production, which also influences the interarray cable network layout [2,23].…”

Section: Related Workmentioning

confidence: 99%

“…According to Figure 3, there might be more than one route section between nodes, so we use the "≤" sign in Equation (20) and the "=" sign in Equation (21). Equation (22) indicates that the total flow rate transported to the service centers should be equal to the total production rate of the customers.…”

Section: Constraintsmentioning

confidence: 99%

A Location-Allocation Model with Obstacle and Capacity Constraints for the Layout Optimization of a Subsea Transmission Network with Line-Shaped Conduction Structures

Hong

Wang²,

Estefen

2023

JMSE

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The idea of this paper comes from the need for a practical layout design for the subsea pipe line network and the power transmission network of offshore wind farms with subsea cables, which are both subsea transmission networks with line-shaped conduction structures. In this paper, this practical need is treated as an location-allocation problem, with the objective of minimizing the total cost, and a mixed-integer linear programming model (MILP) for layout optimization is developed. Through the model, the locations of service centers and theit corresponding sizes, the allocations between customers and service centers, as well as the transmission routes can all be figured out. This work makes two key contributions. First, facilities’ capacity restrictions and the avoidance of subsea obstacles are both integrated, making the description of the layout closer to practical situations. Secondly, a “global to local” search process based on the Delaunay triangulation method is constructed to solve the model, resulting in a high-quality solution. An offshore field layout design scenario is taken as a case study, through which the validity, feasibility, and stability of the proposed model, as well as the solution strategy, are presented. Furthermore, in the case study, the effect of the manifold number on the layout optimization is analyzed, indicating the flexibility of the model’s applications.

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“…Despite the comprehensive literature on the optimization subjects detailed above, details on the exact approach to the export cable voltage/size selection are mostly undisclosed in all references identified. Those that provide additional detail [32][33][34] typically consider a single standardized voltage level for both the collector system and export cables and proceed to determine the appropriate cable type and size through comprehensive methodologies, often nested within a wider optimization problem (e.g., including said OWF layout and/or medium-voltage (MV) collector topologies).…”

Section: Literature Reviewmentioning

confidence: 99%

Power-from-Shore Optioneering for Integration of Offshore Renewable Energy in Oil and Gas Production

Antunes,

Castro,

Santos

et al. 2023

Energies

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Despite the widespread usage of high-voltage alternating current (HVAC) for the connection of offshore wind farms (OWF), its use to power-from-shore (PFS) offshore oil and gas (O&G) production sites is often not feasible. Its limitations for long-distance subsea transmission are usually found at 50–70 km from shore and might be even shorter when compared commercially to a direct-current (DC) alternative or conventional generation. Therefore, this research paper aims to address the standardization of offshore transmission with a particular focus on the high-voltage direct current (HVDC) alternative. While the distance is typically not a limiting factor when using DC, and the voltages used are rather standard, the concept of power envelopes can be quite useful in addressing the high variability of offshore site power requirements and setting a design baseline that would lead to improved lead time. In this article, a full back and front-end genetic optioneering model purposely built from the ground up in Python language is used to #1 define up to three DC power envelopes that would cater to most of the candidate’s requirements and #2 provide the lowest cost variance. The results will demonstrate that this can be achieved at a minor overall cost expense.

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Optimization of offshore grid planning considering onshore network expansions

Cited by 15 publications

References 19 publications

Review on the Application of Artificial Intelligence Methods in the Control and Design of Offshore Wind Power Systems

Review on the Application of Artificial Intelligence Methods in the Control and Design of Offshore Wind Power Systems

A Location-Allocation Model with Obstacle and Capacity Constraints for the Layout Optimization of a Subsea Transmission Network with Line-Shaped Conduction Structures

Power-from-Shore Optioneering for Integration of Offshore Renewable Energy in Oil and Gas Production

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