多功率曲线协整度约束下的源-荷-储优化协整模型  

Source-load-storage Optimization Cointegration Model Under Multi-power Curve Cointegration Degree Constraints

作　　者：周任军[1] 石亮缘 汤吉鸿 宋军英 许福鹿 方绍凤 ZHOU Renjun;SHI Liangyuan;TANG Jihong;SONG Junying;XU Fulu;FANG Shaofeng(Hunan Province Collaborative Innovation Center of Clean Energy and Smart Grid (Changsha University of Science and Technology), Changsha 410004, Hunan Province,China;Guangzhou Power Supply Bureau Co., Ltd., Guangzhou 510620,Guangdong Province,China;State Grid Hunan Electric Power Company Limited, Changsha 410004, Hunan Province,China)

机构地区：[1]湖南省清洁能源与智能电网协同创新中心(长沙理工大学),湖南省长沙市410004 [2]广州供电局有限公司,广东省广州市510620 [3]国网湖南省电力有限公司,湖南省长沙市410004

出　　处：《中国电机工程学报》2019年第12期3454-3464,共11页Proceedings of the CSEE

基　　金：国家自然科学基金项目(51277016,71331001,91746118)~~

摘　　要：针对新能源高渗透率系统源-网-荷-储协调调度与运行中协调的刻画,提出一种利用时间序列协整理论实现源-荷-储协同调整的协整思路。分析源-荷-储各自功率曲线特性,在电力调度和负荷协同调整后,各曲线之间通过协整检验存在数学意义上的协整关系。进而提出一种协整度指标,用以度量这种源-荷-储协整关系的密切程度,以信息熵度量残差序列离散程度计算协整度指标。利用该指标,建立协整度约束下以新能源消纳量最大和系统运行成本最小为目标的源-荷-储多目标优化协整模型。算例表明,所提出的指标和模型,能有效降低系统运行成本,提高新能源消纳水平。应用协整理论建立电力系统运行的协整思路、协整关系、协整度指标、协整模型,可为电力需求侧管理、系统协调优化、调度协同调整提供重要理论支撑,实现源网荷储协整运行。In order to effectively characterize the coordination status of source-network-load-storage scheduling and operation in new energy high permeability system, the idea using time series cointegration theory to coordinate source-load-storage was proposed. Analysis of characteristics of source-load-storage power curves, after coordinating power dispatch and load adjustment, it was revealed by cointegration tests that there is a mathematical cointegration relationship between curves. Then, a cointegration index was created to measure the degree of cointegration relationship between source, load and storage. This index was calculated by information entropy that measures the dispersion degree of the residual sequence. Using this index, a source-load-storage multi-objective optimization cointegration model with a goal of maximum renewable energy consumption and minimum system operating cost was established under the constraint of cointegration degree. Examples show that the proposed indicators and model could effectively reduce system operating costs and increase the level of renewable energy consumption.Appling cointegration theory to establish co-integration ideas,relationship, index, and models in power systems provides an important theoretical support for power demand-side management, system coordination optimization, and scheduling coordination adjustment, thus realizing the co-integration operation of source-network-load-storage.

关 键 词：新能源消纳 协整检验 协整度指标 源-荷-储协整 多目标优化 

分 类 号：TM611[电气工程—电力系统及自动化]