计及网络动态特性的电-热互联系统仿射优化法
An Affine Arithmetic-based Optimization Method of Combined Electric and Heat System Considering Dynamic Characteristics of Network
陈飞雄 1蔡明杰 1郭奕鑫 1邵振国1
作者信息
- 1. 福建省电器智能化工程技术研究中心(福州大学电气工程与自动化学院),福建省 福州市 350108
- 折叠
摘要
热网动态特性带来能量传输延时的同时,使得空间上的源荷不确定性对系统造成的影响存在时序上的先后差异,导致电-热互联系统日前调度转变为复杂的时空耦合问题.为此,该文提出一种计及网络动态特性的仿射优化法.首先,利用流量分段法与节点网络模型,构建计及能量传输延时且适用于环网的热网动态模型.在此基础上,利用仿射算法与牛顿-拉夫逊能流计算原理,通过线性化建模方式与模型凸化方法,构建仿射凸优化模型.其次,利用仿射优化法解决电-热互联系统不确定性优化调度问题,实现对源荷不确定性传播轨迹的跟踪及其影响的量化分析.最后,33节点电-热互联系统仿真算例证明,所提方法能够揭示网络动态特性下源荷不确定性影响机理,并获得具有低保守性、高经济性的调度方案.
Abstract
The dynamic characteristics of heat network bring the energy transmission delay and make the influence of the spatial uncertainty sources different in time.It leads to the day-ahead dispatch of combined electric and heat system into a complex spatiotemporal coupling problem.Therefore,an affine optimization method considering the dynamic characteristics is proposed.First,the flow segmentation method and the node network model are used to establish a heat network dynamic model,considering transmission delay and suitable for looped network.On this basis,through the linearization modeling and the model convexification,the affine convex optimization model is established by the affine algorithm and the Newton-Raphson energy flow calculation principle.Then,the uncertain optimization dispatch problem of the system is solved by the affine optimization method,while keeping track of the uncertainty sources and quantifying their influence.Finally,the simulations are carried out on a 33-nodes combined electric and heat system.The results show that the proposed method can reveal the influence mechanism of uncertainty sources under the dynamic characteristics of network,and obtain a scheme with low conservativeness and high economy.
关键词
电-热互联系统/热网动态特性/不确定源跟踪/仿射算法/日前调度Key words
combined electric and heat system/dynamic characteristics of heat network/track of uncertainty sources/affine arithmetic/day-ahead dispatch引用本文复制引用
基金项目
国家自然科学基金(52107080)
国家自然科学基金(51777035)
福建省自然科学基金(2021J05135)
福建省自然科学基金重点项目(2020J02028)
出版年
2024
国家科技期刊平台
NSTL
万方数据