摘要
电热能源系统模型维度高将会导致求解难度较大。为此,提出一种兼具求解速度与隐私性的复杂供热管网等值简化模型。首先,基于热网拓扑结构特点,提出可对供热管网进行灵活化简的供热管网拓扑简化方法,并根据简化后的管道结构和参数建立复杂供热管网等值简化模型。其次,充分考虑热电联产(combined heat and power,CHP)机组以热定电模式和热网热惯性对旋转备用容量的影响,建立了系统旋转备用模型。基于此,建立了考虑旋转备用约束的电热能源系统调度模型。最后,采用信息间隙决策理论(information gap decision theory, IGDT)处理系统成本与风电不确定度之间的关系。算例结果分析了供热管网拓扑简化方法在不同简化程度下的简化效果,验证了所提模型适用于电热能源系统优化调度,有效地减少优化模型的求解时间。
The high dimensionality of an electric-heat energy system model will lead to great difficulty in analysis.For this reason,an equivalent simplified model of a complex heat supply pipe network is proposed,which combines solution speed and privacy.First,based on the topological characteristics of the heat network,a topological simplification method of the heat supply pipe network is proposed.It can be flexibly simplified,and an equivalent simplified model of the complex heat supply pipe network is established based on the simplified pipe structure and parameters.Secondly,a rotating standby model is established by taking into full consideration the influence of CHP units’heat-determined power mode and thermal inertia of the heat network on the rotating standby capacity.Then an electric-thermal energy system dispatching model that takes into account the equivalent simplified models of several complex heat supply pipe networks is established.Finally,the information gap decision theory(IGDT)is used to deal with the relationship between system cost and wind power uncertainty.The example results analyze the simplification effect of the heat supply pipe network topology simplification method under different degrees of simplification,and verify that the proposed model is applicable to the optimal scheduling of the electric-heat energy system.This effectively reduces the optimization model solution time.This work is supported by the National Natural Science Foundation of China(No.52007103).
作者
张磊
王满康
叶婧
向紫藤
陶千惠
杨子龙
周正坤
邱元城
ZHANG Lei;WANG Mankang;YE Jing;XIANG Ziteng;TAO Qianhui;YANG Ziong;ZHOU Zhengkun;QIU Yuancheng(College of Electrical and New Energy,Three Gorges University,Yichang 443002,China;China Yangtze Power Co.,Ltd.,Yichang 443002,China)
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2024年第10期105-117,共13页
Power System Protection and Control
基金
国家自然科学基金项目资助(52007103)。
关键词
电热能源系统
拓扑简化
旋转备用
隐私性
风电不确定性
electric heating energy system
topology simplification
spinning reserve
privacy
wind power uncertainty
