文章摘要
赵冬梅,宋原,王云龙,等.考虑柔性负荷响应不确定性的多时间尺度协调调度模型[J].电力系统自动化. DOI: 10.7500/AEPS20190428008.
ZHAO Dongmei,SONG Yuan,WANG Yunlong, et al.Coordinated Scheduling Model with Multiple Time Scale Considering Response Uncertainty of Flexible Load[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20190428008.
考虑柔性负荷响应不确定性的多时间尺度协调调度模型
Coordinated Scheduling Model with Multiple Time Scale Considering Response Uncertainty of Flexible Load
DOI:10.7500/AEPS20190428008
关键词: 柔性负荷  不确定性分析  多时间尺度  模糊机会约束规划  运行调度
KeyWords: Flexible load  uncertainty analysis  multi-time scale  fuzzy chance constrained programming  operation scheduling
上网日期:2019-09-24
基金项目:国家重点研发计划项目(2017YFB0902600);国家电网公司科技项目(SGJS0000DKJS1700840)
作者单位E-mail
赵冬梅 华北电力大学电气与电子工程学院 zhao-dm@ncepu.edu.cn 
宋原 华北电力大学电气与电子工程学院 18810174298@163.com 
王云龙 华北电力大学电气与电子工程学院 597998938@qq.com 
殷加玞 华北电力大学电气与电子工程学院 18810662195@163.com 
徐春雷 国网江苏省电力有限公司自动化处 13605186405@163.com 
摘要:
      针对柔性负荷实际响应的不确定性,以及各类柔性负荷在多时间尺度上的响应特性,提出了考虑柔性负荷响应不确定性的多时间尺度协调调度模型。首先,基于消费者心理学原理并计及柔性负荷响应不确定性的变化规律,建立了价格型需求响应(DR)的响应量模型。然后,在考虑实际响应误差的基础上,制定了激励型DR的激励机制,并基于上述不确定性分析建立了可转移负荷、可平移负荷和可削减负荷的响应模型。最后,从多时间尺度协调的角度,对柔性负荷、常规机组和风电进行协调优化,构建了日前-日内-实时的协调调度模型,并根据模糊机会约束规划理论和混合整数规划方法进行求解。算例分析验证了所提模型的有效性,通过考虑柔性负荷响应的不确定性以及多时间尺度上的协调优化,能够实现削峰填谷和提高风电消纳,并有助于降低电网调度的成本,具有较好的经济效益。
Abstract:
      The flexible load response uncertainty poses new challenges to the power system dispatching operation. A multi-time scale coordinated scheduling model is proposed considering the characteristics and uncertainty of flexible load response. Firstly, the actual response model of price-based demand response (DR) is established on the basis of the principle of consumer psychology and the change law of flexible load response rate deviation. Secondly, the incentive mechanism for incentive DR is established considering the user response deviation. Then the response models for the transferable loads, curtailable loads and shiftable loads are established based on uncertainty analysis. Finally, the coordinated scheduling model in time scales of day-ahead, intraday and real-time is constructed to coordinate flexible loads, regular units and wind power. The fuzzy chance constrained programming and mixed integer programming are used to solve the problem. The effectiveness of the model is demonstrated with case studies and the results show that the model is beneficial for peak load shifting, wind power consumption and economy.
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