General mathematical model for the calculation of economic cross sections of cables for wind farms collector systems

Đorđević, Ana; Đurišić, Željko

doi:10.1049/iet-rpg.2017.0420

Cited by 14 publications

(8 citation statements)

References 25 publications

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“…In this study, the medium voltage power network was built using 30 kV, and the choice of cables covered seven cross-sections from 70 mm 2 to 500 mm 2 . As shown in Figures 1 and 2, the cost and basic technical parameters of the cable were obtained from earlier work [30]. The price of the cable is quoted in the reference in Euro, which is converted to United States Dollar (USD) denominated at a rate of 1 Euro = 1.107 USD.…”

Section: Cost Modelmentioning

confidence: 99%

“…After each cable segment was determined to have a cross section, its impedance, maximum current carrying capacity, etc., were determined. A subset SF i was created for each branch F i to hold the number of all cable segments subordinate to this branch, and then the maximum voltage drop ∆U F,i for this branch was calculated using the formula in Equation (11) [29,30].…”

Section: Branch Voltage Drop Modelmentioning

confidence: 99%

“…This results in a greater power loss in the service life of the power system by 20 to 30 years. It is reported that by using a large-section cable properly on a large-flow cable section, the power loss caused by the resistance can be greatly reduced, thereby effectively improving the economic efficiency of the system [30].…”

Section: Introductionmentioning

confidence: 99%

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An Integration Optimization Method for Power Collection Systems of Offshore Wind Farms

Wang

Tang

et al. 2019

Energies

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The traditional power collection system design separately optimizes the connection topology and the cable cross sections, which may result in the inherent shortcoming of lacking the most economical solutions. In this pursuit, the present work envisages the development of an integrated design method for general wind farm power collection systems, which integrated the coupling random fork tree coding, union-find set loop identification, current and voltage drop calculation models, and a high performance optimization algorithm. The proposed coupling random fork tree coding, for the first time, realized the coupling code of the substation location, connection topology, and cable cross sections, providing the basis for the integration design of the power collection system. The optimization results for discrete and regular wind farms indicated that the proposed integration method achieved the best match of topology, substation location, and the cable cross sections, thus presenting the most economical scheme of the power collection system. Compared to the traditional two-step methods, the integration method used more branches while acquiring them, to maintain the lower number of wind turbines in each branch. Furthermore, it also employed large cross-section cables to reduce the energy loss caused by the impedance in the topology, thereby resulting in a slight increased cable cost; however, the total cost was minimized. The proposed method is very versatile and suitable for the optimization of power collection systems containing any number of wind turbines and substations, and can be combined with any evolutionary algorithm.

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Section: Cost Modelmentioning

confidence: 99%

Section: Branch Voltage Drop Modelmentioning

confidence: 99%

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An Integration Optimization Method for Power Collection Systems of Offshore Wind Farms

Wang

Tang

et al. 2019

Energies

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“…To calculate the losses, it is necessary to know the wind power production profile and load profile [27,28]. Wind power production profile should be determined based on the wind speed measurements on site and the power curves of the selected wind turbines [29].…”

Section: Exploitation Costsmentioning

confidence: 99%

Mathematical model for the optimal determination of voltage level and PCC for large wind farms connection to transmission network

Đorđević

Đurišić

2019

IET Renewable Power Generation

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This study presents a practical mathematical model for the determination of the optimal point of connection of large wind farms to the transmission network. A comparative analysis of costs of connecting wind farms to the transmission network is given, about their distance from the point of common coupling (PCC). Calculations have been made for different installed capacity of the wind farm and for different voltage levels of PCC. Based on these calculations, there have been defined competitive distances of a wind farm with a certain power from the network of different voltage levels (e.g. 110 and 220 kV) for which the connection costs are equal. Such calculations are widely applicable and can be used by transmission system operators and wind power plant developers to optimise and plan the connection of a wind farm to the transmission network.

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“…However, the resistance increases as the cross-sectional area of the cable decreases, resulting in greater power loss during the service life of the power system for at least 20 years. According to an earlier report [11], by properly employing the large cross-section cables on cable segments with large currents in the topology, the power loss caused by the resistors was found to be greatly reduced, thereby effectively improving the economics of the power system.…”

Section: Introductionmentioning

confidence: 99%

Minimizing Energy Loss by Coupling Optimization of Connection Topology and Cable Cross-Section in Offshore Wind Farm

Wang

Han

et al. 2019

Applied Sciences

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The cable cross section of an offshore wind farm power system is conventionally determined on the basis of the maximum current carrying capacity. However, this criterion cannot be matched and optimized with connection topology, which may lead to a large overall resistance level in the topology, thereby causing severe energy loss. In this pursuit, the present work envisages the establishment of a coupling optimization method of connection topology and cable cross-section planning for the first time. Based on this method, the power system of a small discrete wind farm is optimized and its results are compared with the results of the traditional design methods. The results indicate that an optimal matching of connection topology and cable cross section can be achieved using the proposed method. Besides, the optimal topology obtained uses more branches, and the large cross-section cables are reasonably used on the large-current cable segments, thus dramatically reducing the energy loss and minimizing the total cost of the power system. The proposed method is very versatile and suitable for the optimization of power systems containing any number of wind turbines and substations. Moreover, it can be combined with any evolutionary algorithm.

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General mathematical model for the calculation of economic cross sections of cables for wind farms collector systems

Cited by 14 publications

References 25 publications

An Integration Optimization Method for Power Collection Systems of Offshore Wind Farms

An Integration Optimization Method for Power Collection Systems of Offshore Wind Farms

Mathematical model for the optimal determination of voltage level and PCC for large wind farms connection to transmission network

Minimizing Energy Loss by Coupling Optimization of Connection Topology and Cable Cross-Section in Offshore Wind Farm

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