Abstract
In recent years, with regional integrated seabed resource exploitation continuing to expand, offshore oilfield power systems have gradually become networked, forming an offshore oilfield multi-platform interconnected power system. In this paper, a two-level optimization model for offshore oilfield multi-platform interconnected power system structure is developed. The lower-level model uses a minimum cut-load cost model that considers load priority to calculate the power outage losses of all N-1 fault conditions. The reliability assessment method helps to achieve a balance between economy and reliability. Additionally, an optimization model simplification method based on graph theory is proposed, and it uses the minimum cost maximum flow (MCMF) algorithm to optimize the power flow of the grid and narrows the problem's solution space. At the end of modeling, a parallel global taboo search algorithm is used to reduce the computational time and improve the probability of finding an optimal solution. Investigations of a real offshore oilfield multi-platform power system verify the accuracy of the model, the simplification method and the parallel global taboo search algorithm.
Highlights
In recent years, with growing demand for resources, the exploitation of seabed resources has become an important part of the world’s resource structure
Compared to the reliability evaluation method used in reference [4], the reliability evaluation method proposed in this paper can find a solution that balances economy and reliability better in the structure optimization model
Considering that existing structure optimization studies of offshore oilfield multi-platform interconnected power systems do not describe the balance between economy and reliability, a two-level single-objective offshore oilfield multi-platform power system structure optimization model is developed and tested in this study
Summary
With growing demand for resources, the exploitation of seabed resources has become an important part of the world’s resource structure. Reference [4] established a power-grid cooperative optimization model for offshore oilfield multi-platform interconnected power systems that considers generator construction costs, submarine cable construction costs, system operating costs and outage loss costs using a hybrid contraption search genetic algorithm. In this paper, to fully consider the reliability of the power system, the structure optimization model of an offshore oilfield multi-platform interconnected power system remains a mixed-integer nonlinear model; the model uses the DC power flow equation instead of the AC power flow equation for simplification. A parallel global taboo search algorithm is proposed, and Section V demonstrates the effectiveness of the optimization model and the algorithm by the results achieved from a real application on an offshore oilfield multi-platform interconnected power system in China.
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