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基于负荷状态转移曲线的中长期快速机组组合 被引量:7

Mid-long Term Fast Unit Commitment Based on Load State Transfer Curve
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摘要 随着新能源电力的大规模发展与接入,基于机组组合的电力系统生产模拟方法获得了广泛应用。该方法能有效处理系统调峰、机组启停等时序因素,但应用于大规模电力系统时也面临着计算效率低、耗时长等问题。针对此,该文提出一种基于负荷状态转移曲线的中长期快速机组组合模型和方法。首先,结合时序和持续负荷曲线的特点,通过负荷聚类分析建立了负荷状态转移曲线模型,在简化负荷模型的同时兼顾了其时序波动特征。其次,考虑负荷状态持续时间,建立了发电机和系统运行约束,提出了基于负荷状态转移曲线的机组组合模型。同时,将其与传统模型进行了对比,给出了基于该文方法进行生产模拟的基本流程。基于扩大IEEE-RTS79的算例分析表明,该文所提出模型方法能在保持较高精度的同时,显著缩减计算时间,为大规模电力系统的优化规划提供有力工具。 With the development and integration of large scale renewable energy,the power system production simulation based on unit commitment has been widely used.It can deal with temporal characteristics such as peak load regulation as well as unit startups and shutdowns effectively.But when applied to large scale power system,its computational efficiency is rather low.To solve the problem,this paper proposed a mid-long term fast unit commitment method based on load state transfer curve.Firstly,the load values were clustered and the load state transfer curve was established.The characteristics of chronological load curve and load duration curve were both taken into consideration.It can simplify the load model and reflect the temporal characteristics of the load.Secondly,the operation constraints of the generators and the system were set up considering the duration of different load states.The unit commitment model based on load state transfer curve was constructed.Furthermore,the proposed model was compared with the conventional model and the procedure of the proposed method was given.The case studies on 10-fold IEEE-RTS79 prove that the method this paper proposes can reduce the solution time notably as well as maintain high precision.It provides an efficient tool for the optimization and planning of large scale power systems.
作者 邵成成 冯陈佳 王秀丽 王锡凡 SHAO Chengcheng;FENG Chenjia;WANG Xiuli;WANG Xifan(School of Electrical Engineering,Xi’an Jiaotong University(Shaanxi Key Laboratory on Smart Grid),Xi’an 710049,Shaanxi Province,China)
出处 《中国电机工程学报》 EI CSCD 北大核心 2019年第S01期141-147,共7页 Proceedings of the CSEE
基金 国家自然科学基金项目(51707146) 中国电力工程顾问集团科技项目(HQ-2018-P-TS-020).
关键词 机组组合 生产模拟 负荷聚类 负荷状态转移曲线 unit commitment production simulation load clustering load state transfer curve
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