Optimal Dispatching Model of Combined Heat and Power System Considering Source-side Flexibility Improvement and Controllable Heat-power Load

被引:0
|
作者
Zhou S. [1 ,2 ]
Dai S. [3 ]
Xu D. [3 ]
Lang Y. [1 ]
Hu L. [1 ]
机构
[1] School of Electrical Engineering & Automation, Harbin Institute of Technology, Harbin, 150001, Heilongjiang Province
[2] State Grid Zhejiang Electric Power Research Institute, Hangzhou, 310014, Zhejiang Province
[3] China Electric Power Research Institute, Haidian District, Beijing
来源
Dianwang Jishu/Power System Technology | 2020年 / 44卷 / 06期
基金
中国国家自然科学基金;
关键词
Combined heat and power system; Controllable load; Flexibility of units; Optimal dispatching model; Wind power accommodation;
D O I
10.13335/j.1000-3673.pst.2019.1139
中图分类号
学科分类号
摘要
The application of flexible heat-power load to further improve the wind power accommodation capability is discussed on the basis of improving the source-side flexibility of the combined heat and power (CHP) system. The operation and compensation cost models as well as the cost allocation model for depth peak load cycling of the thermal power units are established. Based on the analysis of the heat accumulator heat storage and release characteristics, the regulation range expansion of the equivalent CHP units with the heat accumulator is modeled as well. Furthermore, regarding the total operation cost minimum as the target function, this paper presents an optimal dispatching model of CHP system with the combination of 3 wind power accommodation schemes - the regulation range expansion of CHP units, the deep peaking transformation of the thermal power units and the load-side controllable electric boiler. In this model, the abandoned-wind-start peak-shaving electric boiler is treated as a controllable electric load, and its output as a controllable heat load. A numerical example illustrates that the model can be used to analyze and compare the arbitrary combination scenes of the above 3 wind power accommodation schemes and tap the load-side peak regulation potential while employing source-side flexibility, and in turn dispatch the low-cost, good-consumption schedulable resources to achieve the low-cost cascade dissipation. © 2020, Power System Technology Press. All right reserved.
引用
收藏
页码:2254 / 2261
页数:7
相关论文
共 25 条
  • [1] Zhang Yiyuan, Jiang Yuewen, Research on promoting wind power accommodation with multi-type demand response and day-ahead hourly price optimization, Advanced Technology of Electrical Engineering and Energy, 37, 1, pp. 57-65, (2018)
  • [2] Ma Hongyan, Han Xiao, Yan Zheng, Et al., Robustness driving reciprocal peak-regulation trading method of inter-regional grids containing wind power uncertainty, Automation of Electric Power Systems, 41, 7, pp. 28-36, (2017)
  • [3] Wang Ke, Guo Xiaorui, Zhou Jing, Et al., Framework and realization for smart grid "source-load" coordinated scheduling[J], Power System Technology, 42, 8, pp. 2637-2644, (2018)
  • [4] Lin Li, Gu Jia, Wang Ling, Optimal dispatching of combined heat-power system considering characteristics of thermal network and thermal comfort elasticity for wind power accommodation, Power System Technology, 43, 10, pp. 3648-3655, (2019)
  • [5] Pan Ersheng, Li Hui, Xiao Jinyu, Et al., Research on the development and transmission of clean energy in western China considering wide range coordination of multi-energy, Electric Power, 51, 9, pp. 158-164, (2018)
  • [6] Zhang Hong, Wang Limao, Zhang Yingzhuo, Et al., Analysis of cross- regional grid integration of wind power under a low carbon economy [J], Resources Science, 39, 12, pp. 2377-2388, (2017)
  • [7] Bai Shunming, Chen Lei, Jiang Fei, Et al., Multi-objective optimization of power system considering wind power maximization, Electrical Engineering, 21, 1, pp. 7-11, (2020)
  • [8] Xiao Dingyao, Wang Chengmin, Zeng Pingliang, Et al., A survey on power system flexibility and its evaluations, Power System Technology, 38, 6, pp. 1569-1576, (2014)
  • [9] Lu Zongxiang, Li Haibo, Qiao Ying, Flexible planning and challenges for power systems with a high percentage of renewable energy [J], Automation of Electric Power Systems, 40, 13, pp. 147-158, (2016)
  • [10] Xu Guodong, Cheng Haozhong, Ma Zeliang, Et al., A method to evaluate probabilistic comprehensive benefits of joint wind power and storage system considering constraints of peak load regulation capacity, Power System Technology, 39, 10, pp. 2731-2738, (2015)