Robust Co-Optimization Planning of Interdependent Electricity and Natural Gas Systems With a Joint N-1 and Probabilistic Reliability Criterion
Robust Co-Optimization Planning of Interdependent Electricity and Natural Gas Systems With a Joint N-1 and Probabilistic Reliability Criterion
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DOI：
10.1109/tpwrs.2017.2727859
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发表时间：
2018-03
影响因子：
6.6
通讯作者：
Chuan He;Lei Wu;Tianqi Liu;Z. Bie
中科院分区：
文献类型：
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作者：
Chuan He;Lei Wu;Tianqi Liu;Z. Bie
随着燃气发电厂的急剧增长和电力转天然气（PtG）技术的出现，加强了电力和天然气系统之间的相互依赖性，必须共同优化这两个系统以提高整体效率。本文提出了一个长期的鲁棒协同优化规划模型的相互依赖的系统，使总投资和运营成本最小化。除了发电机、输电线路、天然气供应商和管道外，PtG和天然气压缩站也被视为投资候选项目，以有效应对电力系统中的风电不确定性并补偿天然气网络中的压力损失。此外，该模型包括一个联合N-1和概率可靠性标准，以促进经济和可靠的规划解决方案。该模型通过分解方法求解，通过迭代求解一个基本情况主问题和两个操作子问题来检查N-1和概率可靠性准则。数值算例表明了所提出的鲁棒协同优化规划方法的有效性。
As the sharp growth of gas-fired power plants and the new emergence of power-to-gas (PtG) technology intensify the interdependence between electricity and natural gas systems, it is imperative to co-optimize the two systems for improving the overall efficiency. This paper presents a long-term robust co-optimization planning model for interdependent systems, for minimizing total investment and operation costs. Beside generators, transmission lines, gas suppliers, and pipelines, PtGs and gas compressor stations are also considered as investment candidates to effectively handle wind power uncertainties in the power system and compensate pressure losses in the gas network. Furthermore, the proposed model includes a joint N-1 and probabilistic reliability criterion to promote economical and reliable planning solutions. The proposed model is solved via a decomposition approach, by iteratively solving a base-case master problem and two operation subproblems to check N-1 and probabilistic reliability criteria. Numerical case studies illustrate the effectiveness of the proposed robust co-optimization planning approach.