基于NSGA-II算法的互补能源接入方案优化配
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张育颖(1994-),女,硕士研究生,主要从事能源经济方面研究;E-mail:zyydaxianer@163.com

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TM61

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国家自然科学基金(51507099)


Research on multi-energy supplement system optimization method based on NSGA-II
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    摘要:

    构建以电力为主体,融合热、气等不同形式能源,在生产、消费多个环节优势互补的多能源系统,是提升能源利用效率,促进能源清洁发展,构建能源互联网的关键。首先,依据风、光等分布式能源稳定模型,构建智慧城市多能互补系统架构;然后综合考虑投资商、电力公司、用电客户等能源主体利益,以系统潮流、接入互补能源的节点电压、装机容量等为条件,建立智慧城市多能互补系统规划模型;最后,引入改进的遗传进化算法,确定模型的寻优流程,对多能互补系统能源网络接入能源的节点位置与装机容量进行优化求解。结果表明,对多能互补系统合理规划,有助于智慧城市能源供应向清洁、可持续化方向发展。

    Abstract:

    Constructing a multi-energy supplement system that combines heat, gas and other forms of energy, with electric power as its main energy, and has complementary advantages in multiple parts of production and consumption, is the key for improving energy efficiency, promoting clean energy development, and building energy Internet. Firstly, according to the distributed energy (such as wind, light, etc.) stability model, the smart city multi-energy supplement system architecture is constructed. Secondly, by comprehensively taking the investors, power companies, electricity customers and other energy interest bodies into consideration, the smart city multi-energy supplement system planning model on the conditions of power flow, node voltage with complementary energy, and installed capacity, is built. Thirdly, the improved genetic algorithm is introduced to determine the optimization flow of the model, and the node location and capacity of the energy network of multi-energy supplement system are optimized. The results show that the proper planning of multi-energy supplement system is helpful to the development of energy supply in smart city to be cleaner and more sustainable.

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张育颖,谢品杰.基于NSGA-II算法的互补能源接入方案优化配[J].电力科学与技术学报,2021,36(5):148-160.
Zhang Yuying, Xie Pinjie. Research on multi-energy supplement system optimization method based on NSGA-II[J]. Journal of Electric Power Science and Technology,2021,36(5):148-160.

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  • 在线发布日期: 2021-11-16
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