Optimal Planning of Integrated Electricity and Natural Gas System Based on C&CG Algorithm

Hongkai Zhang, Jian Chen, Yicheng Zhang
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引用次数: 1

Abstract

In order to improve energy efficiency and solve environmental pollution problems, integrated electricity and natural gas (IENG) system has become the first choice. It is of great significance to study the coupling mode, planning and operation of IENG. In this paper, according to the uncertainties of load and renewable energy, a robust optimization method is adopted. IENG system considering power to gas (PtG) and gas turbine (GT) is modeled. On this basis, an optimal planning model is proposed, and the C&CG algorithm is used to solve the problem. A case study illustrates the influence of different conditions on the optimal planning results, and the operation results are also analyzed.
基于C&CG算法的电、气一体化系统优化规划
为了提高能源效率和解决环境污染问题,电天然气一体化系统已成为首选。研究IENG的耦合模式、规划和运行具有重要意义。本文根据负荷和可再生能源的不确定性,采用了鲁棒优化方法。建立了考虑电-气(PtG)和燃气轮机(GT)的IENG系统模型。在此基础上,提出了最优规划模型,并采用C&CG算法进行求解。通过实例说明了不同条件对优化规划结果的影响,并对运行结果进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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