Multi-Time-Space Scale Optimal Dispatch of Integrated Energy in Micro-Energy Grid Considering Demand Response

被引:0
作者
Qin W. [1 ]
Yang J. [1 ]
Jing X. [1 ]
Yao H. [1 ]
Li X. [1 ]
Zhang X. [1 ]
机构
[1] Shanxi Provincial Key Laboratory of Power System Operation and Control, Taiyuan University of Technology, Taiyuan
来源
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2023年 / 57卷 / 12期
关键词
demand response; energy supply and demand balance; integrated energy system; micro-energy grid; multi-time-space scale;
D O I
10.16183/j.cnki.jsjtu.2022.177
中图分类号
学科分类号
摘要
The operation of the integrated energy system is one of the hot spots in the current energy research field. With the reform of the energy field mechanism, the integrated energy system with multi-micro-energy grids poses great challenges to the operation of the power grid. Aimed at the economic and operational problems caused by the integration of multi-micro-energy grid integrated energy systems into the upper distribution network, a multi-temporal and spatial scale optimization operation strategy for integrated energy of micro-energy grid considering demand response is proposed. Moreover, a multidimensional energy supply and demand balance model from the perspective of energy is constructed. Furthermore, a multi-time-space scale operation model with upper, middle, and lower layers of collaborative optimization is established. The upper layer adopts day-ahead scheduling, the middle layer adopts intraday scheduling, and the lower layer adopts real-time scheduling with replaceable, transferable, and curtailable loads for demand response optimization. Calculation examples show that this strategy can realize the co-ordination and complementation of multi-dimensional energy sources, realize the coordinated operation of multiple energy sources at different time and space scales, and improve the economy of system operation. © 2023 Shanghai Jiao Tong University. All rights reserved.
引用
收藏
页码:1583 / 1596
页数:13
相关论文
共 27 条
[1]  
ZHOU Xingqiu, ZHENG Lingwei, YANG Lan, Et al., Day-ahead optimal dispatch of an integrated energy system considering multiple uncertainty, Power System Technology, 44, 7, pp. 2466-2473, (2020)
[2]  
ZHANG Shenxi, WANG Danyang, CHENG Hao~ zhong, Et al., Key technologies and challenges of low-carbon integrated energy system planning for carbon emission peak and carbon neutrality, Automation of Electric Power Systems, 46, 8, pp. 189-207, (2022)
[3]  
ZHANG Zhong, WANG Jianxue, CAO Xiaoyu, An energy management method of island microgrid based on load classification and scheduling, Automation of Electric Power Systems, 39, 15, pp. 17-23, (2015)
[4]  
Al Xin, CHEN Zhengqi, SUN Yingyun, Et al., Study on integrated DLC coordination optimization of electric-thermal-gas coupling system considering demand response [J], Power System Technology, 43, 4, pp. 1160-1171, (2019)
[5]  
ZHAO Bo, WANG Xiangjin, ZHANG Xuesong, Two-layer method of microgrid optimal sizing considering demand-side response and uncertainties, Transactions of China Electrotechnical Society, 33, 14, pp. 3284-3295, (2018)
[6]  
TIAN Feng, JIA Yanbing, REN Haiquan, Et al., source-load" low-carbon economic dispatch of integrated energy system considering carbon capture sys-tem, Power System Technology, 44, 9, pp. 3346-3355, (2020)
[7]  
CUI Yang, YAN Shi, ZHONG Wuzhi, Et al., Optimal thermoelectric dispatching of regional integrated energy system with power-to-gas, Power System Technology, 44, 11, pp. 4254-4264, (2020)
[8]  
ZHENG Chaoming, HUANG Bonan, WANG Zixin, Multi-objective optimization dispatch for integrated electro-heating systems including network transmission losses, Power System Technology, 44, 1, pp. 141-154, (2020)
[9]  
WANG Mingjun, MU Yunfei, MENG Xianjun, Et al., Optimal scheduling method for integrated electrothermal energy system considering heat transmission dynamic characteristics, Power System Technology, 44, 1, pp. 132-142, (2020)
[10]  
TAN Hong, YAN Wei, WANG Hao, Optimal dispatch model of biogas-wind-solar isolated multi-energy micro-grid based on thermal energy flow analysis of buildings, Power System Technology, 44, 7, pp. 2483-2492, (2020)