新型电力系统下储能辅助运行与优化配置研究综述
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1.南京理工大学 自动化学院;2.湖州越球电机有限公司 检测中心

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江苏省自然科学基金青年项目(BK20241481);新型电力系统运行与控制全国重点实验室开放基金课题(SKLD23KM17);中央高校基本科研业务费专项资金资助(No.30922010709)


Overview of Energy Storage System Optimization Configuration Technology for Auxiliary Operation and Control of New Power Systems
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1.Nanjing University of Science and Technology;2.Huzhou Yueqiu Motor Co., LTD

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    摘要:

    随着全球能源转型步伐的加快,可再生能源发电比例不断提升,电力系统的波动性与不确定性也随之增加,这对电力系统的灵活调节能力和稳定运行提出了更高要求。针对上述问题,本文全面综述了储能系统(energy storage system, ESS)在辅助新型电力系统运行控制中的关键作用及其优化配置技术。首先,系统梳理了储能系统在电力系统调峰、调频以及电能质量改善等方面的多种应用场景,深入探讨了这些应用场景下储能系统的优化配置策略。其次,对储能优化配置的经济性、可靠性以及稳定性等目标进行了详细的分析研究。然后,对比了不同优化算法(包括线性规划、动态规划、遗传算法、粒子群优化等)的优缺点及适用性。最后,揭示了储能优化配置技术所面临的挑战及未来发展方向。通过分析表明,科学合理的储能资源配置对于提升电力系统的运行效率、稳定性和可靠性至关重要,是推动可再生能源广泛应用和实现智能电网构建目标的关键技术途径。未来,随着新型复合储能技术的发展和智能优化算法的引入,储能优化配置技术有望在新型电力系统的可持续发展中发挥更加突出的作用。

    Abstract:

    With the acceleration of the pace of global energy transformation, the proportion of renewable energy generation continues to increase, and the volatility and uncertainty of the power system also increase, which puts higher requirements on the flexible adjustment ability and stable operation of the power system. Therefore, this paper reviews the key role of energy storage system (ESS) in assisting the operation control of new power systems and its optimal configuration technology. Firstly, the application scenarios of the energy storage system in the aspects of peak regulation, frequency modulation and power quality improvement are systematically reviewed, and the optimal configuration strategy of the energy storage system under these application scenarios is deeply discussed. Secondly, the economy, reliability and stability of energy storage optimization are analyzed and studied in detail. Then, the advantages, disadvantages and applicability of different optimization algorithms (including linear programming, dynamic programming, genetic algorithm, particle swarm optimization, etc.) are compared. Finally, the challenges and future development direction of energy storage optimization configuration technology are revealed. The analysis shows that scientific and reasonable allocation of energy storage resources is crucial to improve the operating efficiency, stability and reliability of the power system, and is a key technical approach to promote the wide application of renewable energy and achieve the goal of smart grid construction. In the future, with the development of new composite energy storage technology and the introduction of intelligent optimization algorithms, energy storage optimization configuration technology is expected to play a more prominent role in the sustainable development of new power systems.

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周涛,贺伟,李会芳.新型电力系统下储能辅助运行与优化配置研究综述[J].南京信息工程大学学报,,():

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  • 收稿日期:2024-10-19
  • 最后修改日期:2024-12-04
  • 录用日期:2024-12-04
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