Operation strategy analysis and configuration optimization of PV/PTST-CCHP system

被引:0
|
作者
Lu X. [1 ]
Sun K. [1 ]
Gao Y. [1 ]
机构
[1] School of Automation and Electric Engineering, Lanzhou Jiaotong University, Lanzhou
来源
关键词
Combined cooling heating and power (CCHP); Configuration optimization; Hill climbing algorithm (HCA); Operation strategies; Parabolic trough collector; Solar power generation;
D O I
10.19912/j.0254-0096.tynxb.2019-1004
中图分类号
学科分类号
摘要
A new parabolic trough solar thermal and photovoltaic combined cooling heating and power (PV/PTST-CCHP) system is established in this paper. Ordering power by heat (OPH) strategy and ordering heat by power (OHP) strategy are studied and the capacity configuration of the system is optimized. The research object is a cogeneration system of cold, heat and electricity, which is dominated by trough solar thermal power and supplemented by photovoltaic and gas turbine power generation. Taking a hotel in Beijing as an example, mathematical models are established for the purpose of economic, energy and environment based on whole life-cycle. The operation strategy with advantages is selected through the comparison of various indicators. The hill climbing algorithm (HCA) is used to optimize the configuration of the system under the optimal operation strategy and indexes under the optimal configuration are compared with those of the sub-supply system. The results show that the PV/PTST-CCHP system has more advantages than the sub-supply system. © 2021, Solar Energy Periodical Office Co., Ltd. All right reserved.
引用
收藏
页码:1 / 8
页数:7
相关论文
共 19 条
  • [1] ZOUHAIR M, MOUYAD A, ALI S S, Et al., Urbanization and non-renewable energy demand: a comparison of developed and emerging countries, Energy, 170, pp. 832-839, (2019)
  • [2] GONG W H., Talking about the integration and application of distributed cogeneration system, Modern manufacturing technology and equipment, 6, pp. 101-102, (2019)
  • [3] XU Q S, LI L, SHENG Y H, Et al., Day-ahead optimized economic dispatch of active distribution power system with combined cooling heating and power-based micogrids, Power system technology, 42, 6, pp. 1726-1735, (2018)
  • [4] WU M, LUO Z, JI Y, Et al., Optimal dynamic dispatch for combined cooling, heating and power micicrogrid based on model predictive control, Proceedings of the CSEE, 37, 24, pp. 7174-7184, (2017)
  • [5] JIANG R H, HUANG S M, YIN H B, Et al., Experimental study of the off-design condition performance of a distributed type cooling, heatingand power cogeneration system, Journal of engineering for thermal energy and power, 31, 11, pp. 74-79, (2016)
  • [6] HYEUNGUK A, JAMES D, FREIHAUT, Et al., Economic feasibility of combined cooling, heating, and power (CCHP) systems considering electricity standby tariffs, Energy, 169, pp. 420-432, (2019)
  • [7] LI M, MU H L, LI N, Et al., Optimal design and operation strategy for integrated evaluation of CCHP (combined cooling heating and power) system, Energy, 99, pp. 202-220, (2016)
  • [8] LU S L, LI Y W, XIA H W, Study on the configuration and operation optimization of CCHP coupling multi ple energy system, Energy conversion and management, 177, pp. 773-791, (2018)
  • [9] YANG Z P, ZHANG F, LIANG J, Et al., Economic generation scheduling of CCHP microgrid with heat pump and energy storage, Power system technology, 42, 6, pp. 1735-1743, (2018)
  • [10] WU H B, WANG D X, LIU X Y, Strategies evaluation and optimal allocation of combined cooling heating and power system with solar, Automation of electric power systems, 39, 21, pp. 46-51, (2015)