发电技术

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抽水蓄能灰启动下冷热电互补综合能源系统优化调度

侯慧1,王燕1,刘超1,张炜2,周杨珺2,李正茂3,李正天4,林湘宁4   

  1. 1.武汉理工大学自动化学院,湖北省 武汉市 430070; 2.广西电网有限责任公司电力科学研究院,广西壮族自治区 南宁市 530023; 3.阿尔托大学电气与自动化工程系,芬兰 埃斯波 02150; 4.华中科技大学电气与电子工程学院,湖北省 武汉市 430074
  • 基金资助:
    国家自然科学基金重点项目(U22B20106)。

Integrated Energy System Optimal Scheduling with Pumped Storage Plant as the Gray Start-up Unit

HOU Hui1, WANG Yan1, LIU Chao1, ZHANG Wei2, ZHOU Yangjun2, LI Zhengmao3, LI Zhengtian4, LIN Xiangning4   

  1. 1. School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei Province, China; 2. Electric Power Research Institute of Guangxi Power Grid Co., Ltd., Nanning 530023, Guangxi Zhuang Autonomous Region, China; 3. Department of Electrical Engineering and Automation, Aalto University, Espoo 02150, Finland; 4. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei Province, China
  • Supported by:
    National Natural Science Foundation of China (U22B20106).

摘要: 【目的】抽水蓄能机组因其灰启动潜力,与综合能源系统(integrated energy system,IES)的多能互补优势相结合,适用于极端事件下恢复系统运行。为研究灾后IES的恢复机制,提出一种抽水蓄能灰启动下,冷热电互补综合能源系统(cold-thermal-electricity integrated energy system,CHEIES)优化调度模型。【方法】首先,通过随机场景优化处理风光冷热功率不确定性问题,采用拉丁超立方抽样生成大量随机风光冷热场景,并使用概率距离快速削减法对场景数量进行削减。其次,针对灰启动下的CHEIES,以抽水蓄能作为灰启动电源为热电联产机组提供启动电源。以灰启动效益为核心考量因素,综合构建单目标优化调度模型,引入冷热电功率平衡约束,确保IES在各种负荷情况下的稳定运行。最后,对模型进行仿真求解,分析了各种运行方案下的优化调度策略和经济效益。【结果】通过5种不同的运行方案分析,在不同负荷条件下,所提方案综合效益最佳,实现最优的系统性能和经济性。【结论】所提方法可充分挖掘紧急状态下CHEIES的可靠性、经济性与灵活性,为极端事件灾后IES的快速恢复提供策略支持。

关键词: 抽水蓄能, 灰启动, 冷热电互补综合能源系统, 优化调度, 极端事件

Abstract: [Objective] Due to its potential for black start, pumped storage units, when combined with the multi-energy complementary advantages of integrated energy systems (IES), are well-suited for restoring system operation under extreme events. To investigate the recovery mechanism of IES after disasters, this paper proposes an optimized scheduling model for a cold-thermal-electricity integrated energy system (CHEIES) under black start conditions with pumped storage. [Methods] First, to handle the uncertainties in wind, solar, and cold-thermal power, a stochastic scenario optimization approach is employed. Latin hypercube sampling is used to generate a large number of random wind, solar, and cold-thermal scenarios, and the number of scenarios is reduced using a probability distance reduction method. Next, for the black start of CHEIES, pumped storage is used as the black start power source to provide startup power for combined heat and power (CHP) units. The core consideration is the benefit of black start, and a single-objective optimization scheduling model is constructed, integrating cold-thermal-electricity power balance constraints to ensure stable operation of the IES under various load conditions. Finally, simulations are conducted to solve the model, analyzing optimal scheduling strategies and economic benefits under various operating scenarios. [Results] Through the analysis of five different operating schemes under varying load conditions, the scheme with the highest overall efficiency was identified, achieving optimal system performance and economic benefits. [Conclusions] The results demonstrate that the proposed method can fully exploit the reliability, economy, and flexibility of CHEIES in emergency situations, providing strategic support for the rapid recovery of IES after extreme events.

Key words: pumped storage, grey start, cold-thermal-electricity integrated energy system, optimization scheduling, extreme events