Cable Layout

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Thomas J Overbye - One of the best experts on this subject based on the ideXlab platform.

  • a graph theoretic approach for addressing trenching constraints in wind farm collector system design
    Power and Energy Conference at Illinois, 2013
    Co-Authors: S Dutta, Thomas J Overbye
    Abstract:

    This paper addresses the topic of automatically computing Cable Layout designs of large scale wind farms. A network of Cables in a wind farm's electrical collector system collects power generated by turbines and brings to the wind farm substation. Frequently, sections of the land area of a large wind farm are restricted for excavating and burying these Cables, i.e. trenching. Such restrictions might arise from the landowners, presence of water bodies etc. It is important to take into consideration these real-life constraints in the process of automating designs of optimal wind farm electrical collector systems. This paper presents a graph-theory based methodology for addressing these trenching constraints in optimal collector system designs. The developed methodology has been tested on a real-life large wind farm.

  • optimal wind farm collector system topology design considering total trenching length
    IEEE Transactions on Sustainable Energy, 2012
    Co-Authors: S Dutta, Thomas J Overbye
    Abstract:

    This paper addresses the optimal Cable Layout design of a collector system in a large-scale wind farm. The objective is the minimization of total trenching length which is the sum of lengths of all branches of the collector system tree. A graph-theoretic minimum spanning tree algorithm has been used as a starting algorithm, and improvements and modifications have been proposed to cater to the constraints and characteristics of a wind farm collector system. The contribution of this paper is three-fold. First, an algorithm has been proposed to further improve the results of the minimum spanning tree algorithm by creating external splice locations separate from the wind turbine locations in computing the Cable Layout configuration. Second, an algorithm has been proposed to compute the minimum trenching length Layout configuration under the constraint of a prespecified maximum number of turbines connected to a feeder Cable. Third, an algorithm has been developed to automatically compute the direction and magnitude of power flow on the different Cables and to assign Cable sizes accordingly.

  • a clustering based wind farm collector system Cable Layout design
    Power and Energy Conference at Illinois, 2011
    Co-Authors: S Dutta, Thomas J Overbye
    Abstract:

    The goal of achieving 20% wind power penetration by 2030 in the US has stimulated the installation of large scale wind farms in recent years, both on-shore and off-shore. Collector systems consolidate the power generated by turbine units distributed over the geographical area of the wind farm to a substation from where the generated power is transmitted to the electric grid. Design of a wind farm collector system must take into consideration the economics and reliability of operation. Most modern day large scale wind farms consist of hundreds of wind turbines and are generally electrically connected in a radial feeder Cable configuration or daisy chains. While these configurations are generally accepted as convention, not much research has been done to analyze other Cable Layout configurations. This paper proposes a clustering based algorithm for Cable Layout of a large scale wind power plant. Comparison of the proposed method with the radial feeder Cable configuration shows that real power losses in collector system are lowered and greater reliability is achieved with the proposed design. An economic analysis has also been done to compare the cost of generated energy associated with the proposed design and the conventional configuration.

Valentin Robu - One of the best experts on this subject based on the ideXlab platform.

  • predicting damage and life expectancy of subsea power Cables in offshore renewable energy applications
    IEEE Access, 2019
    Co-Authors: Fateme Dinmohammadi, David Flynn, C Bailey, Michael Pecht, Chunyan Yin, Pushpa Rajaguru, Valentin Robu
    Abstract:

    Subsea power Cables are critical assets within the distribution and transmission infrastructure of electrical networks. Over the past two decades, the size of investments in subsea power Cable installation projects has been growing significantly. However, the analysis of historical failure data shows that the present state-of-the-art monitoring technologies do not detect about 70% of the failure modes in subsea power Cables. This paper presents a modeling methodology for predicting damage along the length of subsea Cables due to environmental conditions (e.g., seabed roughness and tidal flows) which result in the loss of the protective layers on the Cable due to corrosion and abrasion (accounting for over 40% of subsea Cable failures). For a defined Cable Layout on different seabed conditions and tidal current inputs, the model calculates the Cable movement by taking into account the scouring effect and then it predicts the rate at which the material is lost due to corrosion and abrasion. Our approach integrates accelerated aging data using a Taber test which provides abrasion wear coefficients for the Cable materials. The models have been embedded into a software tool that predicts the life expectancy of the Cable and demonstrated for narrow conditions, where the tidal flow is unidirectional and perpendicular to the power Cable. The paper also provides discussion on how the developed models can be used with other condition monitoring data sets in a prognostics framework.

Fotedar Sunney - One of the best experts on this subject based on the ideXlab platform.

  • Optimization of the Offshore Wind Inter-Array Cable Layout problem using heuristic based algorithms
    The University of Bergen, 2019
    Co-Authors: Fotedar Sunney
    Abstract:

    Postponed access: the file will be accessible after 2019-05-29The current work presents an in-exact solution method used to identify feasible, and less costly inter-array Cable Layout for offshore wind farms. The solution method developed has been built considering the interests of wind farm developers in mind, and to support them in the planning of large offshore wind projects. The objective of the current study is to develop a fast heuristic based algorithm able to find good (less costly), feasible solution, with a small optimality gap. We are given the positions of the turbines, obstacles, and substations. The optimization problem is to find a Cable Layout such that there is a unique path from each turbine to one of the substations. All the turbines are connected in a series connection on a Cable having a pre-defined capacity limitation. There are few additional constraints such as to prevent two or more Cables from crossing each other, and Cables from entering any restricted areas in the sea bed. This problem is quite similar to the wellknown Capacitated Minimum Spanning Tree (CMST) problem. The Cable Layout problem has been proved to be NP hard, thus, an exact algorithm is likely to have a running time that is an exponential function of the size of the input. Most of the available exact models require fast computers, and hours of computation time to find an optimal solution and still, in large instances of the problem, an optimal solution is not achieved. Although our heuristic does not guarantee an optimal solution, it has the ability to reveal good, feasible solutions in short time frame for large as well as small instances. We have implemented the heuristic in Java, and used in-built as well as customized data structures for improving the running time of the algorithm. We have tested our solution method on 8 real wind farm instances with total number of turbines ranging from 30 to 160. We have compared the results of our heuristic with the optimal solutions available for 4 wind farm instances. We achieved near optimal solutions (

  • Optimization of the Offshore Wind Inter-Array Cable Layout problem using heuristic based algorithms
    The University of Bergen, 2018
    Co-Authors: Fotedar Sunney
    Abstract:

    The current work presents an in-exact solution method used to identify feasible, and less costly inter-array Cable Layout for offshore wind farms. The solution method developed has been built considering the interests of wind farm developers in mind, and to support them in the planning of large offshore wind projects. The objective of the current study is to develop a fast heuristic based algorithm able to find good (less costly), feasible solution, with a small optimality gap. We are given the positions of the turbines, obstacles, and substations. The optimization problem is to find a Cable Layout such that there is a unique path from each turbine to one of the substations. All the turbines are connected in a series connection on a Cable having a pre-defined capacity limitation. There are few additional constraints such as to prevent two or more Cables from crossing each other, and Cables from entering any restricted areas in the sea bed. This problem is quite similar to the wellknown Capacitated Minimum Spanning Tree (CMST) problem. The Cable Layout problem has been proved to be NP hard, thus, an exact algorithm is likely to have a running time that is an exponential function of the size of the input. Most of the available exact models require fast computers, and hours of computation time to find an optimal solution and still, in large instances of the problem, an optimal solution is not achieved. Although our heuristic does not guarantee an optimal solution, it has the ability to reveal good, feasible solutions in short time frame for large as well as small instances. We have implemented the heuristic in Java, and used in-built as well as customized data structures for improving the running time of the algorithm. We have tested our solution method on 8 real wind farm instances with total number of turbines ranging from 30 to 160. We have compared the results of our heuristic with the optimal solutions available for 4 wind farm instances. We achieved near optimal solutions (

J M Baptista - One of the best experts on this subject based on the ideXlab platform.

  • wind farm Cable connection Layout optimization with several substations
    Energies, 2021
    Co-Authors: Adelaide Cerveira, Eduardo Jose Solteiro Pires, J M Baptista
    Abstract:

    Green energy has become a media issue due to climate changes, and consequently, the population has become more aware of pollution. Wind farms are an essential energy production alternative to fossil energy. The incentive to produce wind energy was a government policy some decades ago to decrease carbon emissions. In recent decades, wind farms were formed by a substation and a couple of turbines. Nowadays, wind farms are designed with hundreds of turbines requiring more than one substation. This paper formulates an integer linear programming model to design wind farms’ Cable Layout with several turbines. The proposed model obtains the optimal solution considering different Cable types, infrastructure costs, and energy losses. An additional constraint was considered to limit the number of Cables that cross a walkway, i.e., the number of connections between a set of wind turbines and the remaining wind farm. Furthermore, considering a discrete set of possible turbine locations, the model allows identifying those that should be present in the optimal solution, thereby addressing the optimal location of the substation(s) in the wind farm. The paper illustrates solutions and the associated costs of two wind farms, with up to 102 turbines and three substations in the optimal solution, selected among sixteen possible places. The optimal solutions are obtained in a short time.

S Dutta - One of the best experts on this subject based on the ideXlab platform.

  • a graph theoretic approach for addressing trenching constraints in wind farm collector system design
    Power and Energy Conference at Illinois, 2013
    Co-Authors: S Dutta, Thomas J Overbye
    Abstract:

    This paper addresses the topic of automatically computing Cable Layout designs of large scale wind farms. A network of Cables in a wind farm's electrical collector system collects power generated by turbines and brings to the wind farm substation. Frequently, sections of the land area of a large wind farm are restricted for excavating and burying these Cables, i.e. trenching. Such restrictions might arise from the landowners, presence of water bodies etc. It is important to take into consideration these real-life constraints in the process of automating designs of optimal wind farm electrical collector systems. This paper presents a graph-theory based methodology for addressing these trenching constraints in optimal collector system designs. The developed methodology has been tested on a real-life large wind farm.

  • optimal wind farm collector system topology design considering total trenching length
    IEEE Transactions on Sustainable Energy, 2012
    Co-Authors: S Dutta, Thomas J Overbye
    Abstract:

    This paper addresses the optimal Cable Layout design of a collector system in a large-scale wind farm. The objective is the minimization of total trenching length which is the sum of lengths of all branches of the collector system tree. A graph-theoretic minimum spanning tree algorithm has been used as a starting algorithm, and improvements and modifications have been proposed to cater to the constraints and characteristics of a wind farm collector system. The contribution of this paper is three-fold. First, an algorithm has been proposed to further improve the results of the minimum spanning tree algorithm by creating external splice locations separate from the wind turbine locations in computing the Cable Layout configuration. Second, an algorithm has been proposed to compute the minimum trenching length Layout configuration under the constraint of a prespecified maximum number of turbines connected to a feeder Cable. Third, an algorithm has been developed to automatically compute the direction and magnitude of power flow on the different Cables and to assign Cable sizes accordingly.

  • a clustering based wind farm collector system Cable Layout design
    Power and Energy Conference at Illinois, 2011
    Co-Authors: S Dutta, Thomas J Overbye
    Abstract:

    The goal of achieving 20% wind power penetration by 2030 in the US has stimulated the installation of large scale wind farms in recent years, both on-shore and off-shore. Collector systems consolidate the power generated by turbine units distributed over the geographical area of the wind farm to a substation from where the generated power is transmitted to the electric grid. Design of a wind farm collector system must take into consideration the economics and reliability of operation. Most modern day large scale wind farms consist of hundreds of wind turbines and are generally electrically connected in a radial feeder Cable configuration or daisy chains. While these configurations are generally accepted as convention, not much research has been done to analyze other Cable Layout configurations. This paper proposes a clustering based algorithm for Cable Layout of a large scale wind power plant. Comparison of the proposed method with the radial feeder Cable configuration shows that real power losses in collector system are lowered and greater reliability is achieved with the proposed design. An economic analysis has also been done to compare the cost of generated energy associated with the proposed design and the conventional configuration.