Day-ahead Interval Optimization of Integrated Energy System Considering Wind Power Integration and Gas-Electricity Transformation

被引：0
作者：
Su Y. [1 ,2 ]
Nie W. [1 ]
Tan M. [1 ,2 ]
机构：
[1] College of Information Engineering, Xiangtan University, Xiangtan
[2] Cooperative Innovation Center for Wind Power Equipment and Energy Conversion, Xiangtan University, Xiangtan
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 17期
关键词：
Demand response; Gas-electricity transformation; Integrated energy system; Interval mathematics; Jaya algorithm; Pumped storage;
D O I：
10.7500/AEPS20180725002
中图分类号：
学科分类号：
摘要：
According to the current situation that the schedulable factors of gas-electricity integrated energy system (GEIES) are not fully explored, and the uncertainty of the prediction error of wind power is not fully considered, a day-ahead interval optimization dispatch method of GEIES with wind power is studied. Firstly, the uncertainty of wind power is described in intervals based on the interval mathematics. Some resources and technologies such as pumped storage, bidirectional gas-electricity transformation and demand response, are considered comprehensively. The optimization goal and optimization constraints are all expressed by interval mathematics, and the day-ahead optimization model of GEIES with high proportion of wind power is formulated to optimize the economy and environmental protection of the system. Then, the interval optimization model is transformed into a deterministic optimization model based on the interval order relationship and possibility which is solved by Jaya algorithm to ensure the efficiency of the solution and the feasibility of the solution space. Finally, a case study has been carried out. The simulation results show that comprehensive utilization of pumped storage, bidirectional gas-electricity transformation and demand response for interval optimization can obtain better optimization effects, which can provide the information for system dispatchers on the impact of wind power uncertainty on system optimization. © 2019 Automation of Electric Power Systems Press.
引用
收藏
页码：63 / 71
页数：8
相关论文
共 22 条
[1]  
Ai Q., Hao R., Key technologies and challenges for multi-energy complementarity and optimization of integrated energy system, Automation of Electric Power Systems, 42, 4, pp. 2-10, (2018)
[2]  
Report on printing and distributing the "13th five-year" plan for energy development
[3]  
Sun H., Guo Q., Pan S., Energy Internet: concept, architecture and frontier outlook, Automation of Electric Power Systems, 39, 19, pp. 1-8, (2015)
[4]  
Bai L., Li F., Cui H., Et al., Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty, Applied Energy, 167, pp. 270-279, (2016)
[5]  
Liu W., Wen F., Xue Y., Et al., Cost characteristics and economic analysis of power-to-gas technology, Automation of Electric Power Systems, 40, 24, pp. 1-11, (2016)
[6]  
Wei Z., Zhang S., Sun G., Et al., Power-to-gas considered peak load shifting research for integrated electricity and natural-gas energy systems, Proceedings of the CSEE, 37, 16, pp. 4601-4609, (2017)
[7]  
Li G., Zhang R., Jiang T., Et al., Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process, Applied Energy, 194, pp. 696-704, (2016)
[8]  
Qadrdan M., Cheng M., Wu J., Et al., Benefits of demand-side response in combined gas and electricity networks, Applied Energy, 192, pp. 360-369, (2017)
[9]  
Liu F., Pan Y., Yang J., Et al., Unit commitment model for combined optimization of wind power-thermal power-pumped storage hydro, Proceedings of the CSEE, 35, 4, pp. 766-775, (2015)
[10]  
Lou S., Yang T., Wu Y., Et al., Coordinated optimal operation of hybrid energy storage in power system accommodated high penetration of wind power, Automation of Electric Power Systems, 40, 7, pp. 30-35, (2016)
123