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综合能源系统混合时间尺度运行优化
引用本文:顾伟,陆帅,姚帅,庄文楠,潘光胜,周苏洋,吴志.综合能源系统混合时间尺度运行优化[J].电力自动化设备,2019,39(8).
作者姓名:顾伟  陆帅  姚帅  庄文楠  潘光胜  周苏洋  吴志
作者单位:东南大学电气工程学院,江苏南京,210096;东南大学电气工程学院,江苏南京,210096;东南大学电气工程学院,江苏南京,210096;东南大学电气工程学院,江苏南京,210096;东南大学电气工程学院,江苏南京,210096;东南大学电气工程学院,江苏南京,210096;东南大学电气工程学院,江苏南京,210096
基金项目:国家自然科学基金委员会-国家电网公司智能电网联合基金资助项目(U1866208)
摘    要:综合能源系统融合电、气、热等多种能源子系统,不同能源网络动静态特性与设备控制特性差异显著。为实现电、气、热异质能流网络和设备协同运行,建立综合能源系统混合时间尺度运行优化框架,包含混合分辨率建模与混合指令周期调度。混合分辨率建模采用与气网、热网动态过程相匹配的模型分辨率刻画能流动态过程,平衡模型的精确度与问题的复杂度,实现电气热多能网络动态过程的协同优化;混合指令周期调度立足于多种异质能流的传输特性差异和多类型设备的控制特性差异,兼顾源/荷多重不确定性,确定各子系统的最佳调度指令周期,实现多能子系统间的协调运行。算例结果验证了所提方法的可行性。

关 键 词:综合能源系统  网络特性  控制特性  混合分辨率建模  混合指令周期调度

Hybrid time-scale operation optimization of integrated energy system
GU Wei,LU Shuai,YAO Shuai,ZHUANG Wennan,PAN Guangsheng,ZHOU Suyang and WU Zhi.Hybrid time-scale operation optimization of integrated energy system[J].Electric Power Automation Equipment,2019,39(8).
Authors:GU Wei  LU Shuai  YAO Shuai  ZHUANG Wennan  PAN Guangsheng  ZHOU Suyang and WU Zhi
Affiliation:School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China and School of Electrical Engineering, Southeast University, Nanjing 210096, China
Abstract:The IES(Integrated Energy System) integrates multiple energy subsystems, i. e. electrical system, gas system, heating system, and so on. The dynamic/static characteristics and device control characteristics of different energy systems are significantly different. In order to realize coordinated operation of the heterogeneous energy networks and devices, a hybrid time-scale operation optimization framework of IES is built, which includes hybrid resolution modelling and hybrid instruction interval dispatch. The hybrid resolution modelling adopts the model resolution matching with the dynamic process of gas network and heat network to describe the dynamic process of energy flow and balance the model accuracy and problem complexity, which realizes the coordinated optimization of dynamic process of multi-energy system with electricity, gas and heat. The hybrid instruction interval dispatching is focused on the transmission characteristic difference of multiple heterogeneous energy flows and the control characteristic difference of multi-type equipment, considers multiple uncertainties of source/load sides, determines the optimal dispatch instruction interval of each subsystem and realize the coordinated operation of multiple energy subsystems. Case results verify the feasibility of the proposed method.
Keywords:integrated energy system  network characteristic  control characteristic  hybrid resolution modeling  hybrid instruction interval dispatch
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