Integrated generation-transmission expansion planning for offshore oilfield power systems based on genetic Tabu hybrid algorithm

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• 作者：Dawei SUN ; Xiaorong XIE ; Jianfeng WANG…
• 关键词：Offshore oil field power system ; Generation expansion planning ; Transmission expansion planning ; Genetic Tabu hybrid algorithm
• 刊名：Journal of Modern Power Systems and Clean Energy
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：5
• 期：1
• 页码：117-125
• 全文大小：1714KB
• 刊物主题：Energy Systems; Renewable and Green Energy; Power Electronics, Electrical Machines and Networks;
• 出版者：Springer Berlin Heidelberg
• ISSN：2196-5420
• 卷排序：5

文摘

To address the planning issue of offshore oilfield power systems, an integrated generation-transmission expansion planning model is proposed. The outage cost is considered and the genetic Tabu hybrid algorithm (GTHA) is developed to find the optimal solution. With the proposed integrated model, the planning of generators and transmission lines can be worked out simultaneously, which outweighs the disadvantages of separate planning, for instance, unable to consider the influence of power grid during the planning of generation, or insufficient to plan the transmission system without enough information of generation. The integrated planning model takes into account both the outage cost and the shipping cost, which makes the model more practical for offshore oilfield power systems. The planning problem formulated based on the proposed model is a mixed integer nonlinear programming problem of very high computational complexity, which is difficult to solve by regular mathematical methods. A comprehensive optimization method based on GTHA is also developed to search the best solution efficiently. Finally, a case study on the planning of a 50-bus offshore oilfield power system is conducted, and the obtained results fully demonstrate the effectiveness of the presented model and method.