Optimal Dispatching of Distribution Network Considering System Flexibility and User Thermal Comfort

被引:2
作者
Zhou, Buxiang [1 ]
Zhang, Yuanhong [1 ]
Zang, Tianlei [1 ]
Hua, Weijie [1 ]
机构
[1] Sichuan Univ, Coll Elect Engn, Chengdu 610064, Peoples R China
基金
中国国家自然科学基金;
关键词
Distribution networks; Load modeling; Uncertainty; Thermal loading; Dispatching; Water heating; Photovoltaic systems; Virtual energy storage; heat load; flexibility; thermal comfort; distribution network; HIGH PENETRATION; POWER; RESOURCES; MODEL;
D O I
10.1109/ACCESS.2021.3101224
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To solve the problem that the uncertainty of distributed generation output seriously affects the safe and stable operation of distribution network, heat load, as a potential flexibility resource, can improve flexibility and eliminate system fluctuation without increasing new equipment. Therefore, an optimal dispatching model of the distribution network is proposed in this paper to improve the system flexibility while ensuring human comfort and operation economy. Firstly, the virtual energy storage model and human thermal comfort model of electric water heater (EWH) and air conditioning (AC) load are established. Secondly, a flexibility evaluation method is proposed based on the virtual energy storage of heat load. Furthermore, to decrease comprehensive operation cost and increase system flexibility, a two-stage distributed robust optimal dispatching model, which considers three kinds of flexible resources of EWH, AC and gas turbine (GT) is constructed. Then, the norm is used to constrain the uncertainty probability of wind turbine and photovoltaic output, and the column and constraints generation (C&CG) algorithm is used to solve the model. Finally, a simulation is given to verify the effectiveness of the proposed method in improving the flexibility of distribution network.
引用
收藏
页码:107895 / 107908
页数:14
相关论文
共 23 条
[1]  
Cao B, 2012, RES IMPACTS CLIMATE
[2]   Network Partition and Voltage Coordination Control for Distribution Networks With High Penetration of Distributed PV Units [J].
Chai, Yuanyuan ;
Guo, Li ;
Wang, Chengshan ;
Zhao, Zongzheng ;
Du, Xiaofeng ;
Pan, Jing .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (03) :3396-3407
[3]   Benefits of using virtual energy storage system for power system frequency response [J].
Cheng, Meng ;
Sami, Saif Sabah ;
Wu, Jianzhong .
APPLIED ENERGY, 2017, 194 :376-385
[4]   Research and Practice of Flexibility in Distribution Systems: A Review [J].
Dalhues, Stefan ;
Zhou, Yang ;
Pohl, Oliver ;
Rewald, Florian ;
Erlemeyer, Fabian ;
Schmid, Dennis ;
Zwartscholten, Jannik ;
Hagemann, Zita ;
Wagner, Christian ;
Gonzalez, Daniel Mayorga ;
Liu, Hua ;
Zhang, Mingmin ;
Liu, Jiayan ;
Rehtanz, Christian ;
Li, Yong ;
Cao, Yijia .
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2019, 5 (03) :285-294
[5]   Distributionally robust planning for integrated energy systems incorporating electric-thermal demand response [J].
He, Shuaijia ;
Gao, Hongjun ;
Wang, Lingfeng ;
Xiang, Yingmeng ;
Liu, Junyong .
ENERGY, 2020, 213
[6]   Quantified analysis method for operational flexibility of active distribution networks with high penetration of distributed generators [J].
Ji, Haoran ;
Wang, Chengshan ;
Li, Peng ;
Song, Guanyu ;
Yu, Hao ;
Wu, Jianzhong .
APPLIED ENERGY, 2019, 239 :706-714
[7]   Flexibility management model of home appliances to support DSO requests in smart grids [J].
Lezama, Fernando ;
Soares, Joao ;
Canizes, Bruno ;
Vale, Zita .
SUSTAINABLE CITIES AND SOCIETY, 2020, 55
[8]   From controllable loads to generalized demand-side resources: A review on developments of demand-side resources [J].
Li, Bosong ;
Shen, Jingshuang ;
Wang, Xu ;
Jiang, Chuanwen .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 53 :936-944
[9]  
Li P., 2021, IEEE T POWER SYST, V36, P1205
[10]   Improving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings [J].
Li, Yang ;
Wang, Chunling ;
Li, Guoqing ;
Wang, Jinlong ;
Zhao, Dongbo ;
Chen, Chen .
ENERGY CONVERSION AND MANAGEMENT, 2020, 207