李茜, 黄海涛, 晏小彬, 廖长江, 彭欣, 张安安. 海上油气微能系统的低碳优化运行研究[J]. 中国电力, 2023, 56(3): 13-22. DOI: 10.11930/j.issn.1004-9649.202209070
引用本文: 李茜, 黄海涛, 晏小彬, 廖长江, 彭欣, 张安安. 海上油气微能系统的低碳优化运行研究[J]. 中国电力, 2023, 56(3): 13-22. DOI: 10.11930/j.issn.1004-9649.202209070
LI Qian, HUANG Haitao, YAN Xiaobin, LIAO Changjiang, PENG Xin, ZHANG Anan. Reserch on Low-Carbon Optimal Operation of Offshore Oil and Gas Micro Integrated Energy System[J]. Electric Power, 2023, 56(3): 13-22. DOI: 10.11930/j.issn.1004-9649.202209070
Citation: LI Qian, HUANG Haitao, YAN Xiaobin, LIAO Changjiang, PENG Xin, ZHANG Anan. Reserch on Low-Carbon Optimal Operation of Offshore Oil and Gas Micro Integrated Energy System[J]. Electric Power, 2023, 56(3): 13-22. DOI: 10.11930/j.issn.1004-9649.202209070

海上油气微能系统的低碳优化运行研究

Reserch on Low-Carbon Optimal Operation of Offshore Oil and Gas Micro Integrated Energy System

  • 摘要: 目前海上油气平台的无人化、低碳化已然成为一种发展趋势。为了满足无人化油气平台的低碳运行,本文构建了一种考虑新能源接入的海上油气微能系统,实现了海上油气平台的低碳运行。首先,考虑应对新能源的不确定性,建立了一种含浮式海水制气-伴生气储库低碳运行模块的混合储能系统,构建了含新能源接入及混合储能系统的海上油气微能系统;其次,考虑系统能量物质流动情况,建立系统的异质流耦合模型,分析了系统各单元的耦合关系,并基于此考虑源、荷不确定性,构建了系统模糊随机经济优化调度模型,实现系统的协调优化;最后,通过算例仿真验证了本文所提模型和方法的可行性与有效性。

     

    Abstract: At present, the human-free and low carbonization of offshore oil and gas platforms has become a development trend. In order to meet the low-carbon operation of unmanned oil and gas platforms, this paper constructs an offshore oil and gas micro energy system considering the access of renewable energy to realize the low-carbon operation of offshore oil and gas platforms. Firstly, considering the uncertainty of renewable energy, a hybrid energy storage system is constructed, which consists of a low carbon operation module of floating power to gas-associated gas storage(FP2G-AGS), and an offshore oil and gas micro energy system with renewable energy access and hybrid energy storage system is established. Secondly, considering the matter-energy flow of the system, a heterogeneous flow coupling model is established, and the coupling relationship of each system unit is analyzed. Considering the uncertainty of source and load, a stochastic fuzzy economic optimal scheduling model is constructed to realize the coordinated optimization of the system. Finally, the feasibility and effectiveness of the proposed model and method are verified through numerical simulation.

     

/

返回文章
返回