Optimal Configuration of Multi-energy Complementary Composite Power Plant and Its Application in Generation Expansion Planning

被引：0
|
作者：
Liu S. [1 ,2 ]
Wang J. [1 ]
Li Q. [1 ]
Wang X. [1 ]
Liu Z. [1 ]
Wang X. [1 ]
Wang R. [2 ]
机构：
[1] Shaanxi Key Laboratory of Smart Grid, Xi'an Jiaotong University, Xi'an
[2] State Grid Shaanxi Electric Power Research Institute, Xi'an
[3] State Grid Qinghai Electric Power Research Institute, Xining
来源：
Dianwang Jishu/Power System Technology | 2021年 / 45卷 / 08期
关键词：
Composite power plant; Generation expansion planning; Multi-energy complementarity; Optimized configuration;
D O I：
10.13335/j.1000-3673.pst.2020.1427
中图分类号：
学科分类号：
摘要：
Developing single-type renewable energy source in energy bases will bring about many problems such as energy waste and low equipment utilization. As the continuous maturity of various power generation technologies, the optimal configuration and collaborative development of complementary power sources in energy bases are seen as effective ways to solve these problems. Firstly, based on the complementary characteristics between various power sources, this paper proposes a novel concept of the composite power plant (CPP), whose complementary mechanism and external characteristics for planning are studied. Secondly, a method considering multi-energy complementary characteristics and external requirements is put forward to optimize the energy base configuration. Furthermore, in the tri-level iterative operation simulation mechanism of the planning scheme, a generation expansion planning method including CPP is designed. Finally, numerical results verify the rationality of the proposed CPP configuration model and planning method, which can provide theoretical guidance and technical support for optimized configuration of the energy base. © 2021, Power System Technology Press. All right reserved.
引用
收藏
页码：3006 / 3014
页数：8
相关论文
共 30 条
  • [1] ZHANG Zhenyu, WANG Wenzhuo, MA Xiaowei, Et al., Reserve of power system considering renewable energy based on risk control, Power System Technology, 44, 9, pp. 3375-3382, (2020)
  • [2] YE Lin, QU Xiaoxu, MA Mingshun, Et al., Multi-energy system homogeneous coupling model considering wind-photovoltaic-hydro power generations, Power System Technology, 44, 9, pp. 3201-3210, (2020)
  • [3] YUAN Yiping, WANG Jianxue, ZHANG Yao, Et al., Panoramic operation simulation approach and estimation index system for new energy power system considering multi-period coordination, Power System Technology, 44, 3, pp. 799-806, (2020)
  • [4] HU Di, DING Ming, BI Rui, Et al., Impact analysis of PV and WT complementarity on access planning of high penetrated renewable energy cluster, Proceedings of the CSEE, 40, 3, pp. 821-835, (2020)
  • [5] YUAN Yiping, WANG Jianxue, ZHOU Kun, Et al., Monthly unit commitment model coordinated short-term scheduling and efficient solving method for renewable energy power system, Proceedings of the CSEE, 39, 18, pp. 5336-5345, (2019)
  • [6] TENG Yun, LIU Shuo, HUI Qian, Et al., Integrated Demand side response model considering collaborative optimization of regional multi-energy system clusters, Proceedings of the CSEE, 40, 22, pp. 7282-7295, (2020)
  • [7] CUI Yang, YANG Zhiwen, ZHANG Jietan, Et al., Scheduling strategy of wind power-photovoltaic power-concentrating solar power considering comprehensive costs, High Voltage Engineering, 45, 1, pp. 269-275, (2019)
  • [8] XU L, RUAN X, MAO C, Et al., An improved optimal sizing method for wind-solar-battery hybrid power system, IEEE Transactions on Sustainable Energy, 4, 3, pp. 774-785, (2013)
  • [9] YU Dongxia, ZHANG Jianhua, WANG Xiaoyan, Et al., Optimal capacity configuration of grid-connected wind-PV-storage hybrid power generation system, Proceedings of the CSU-EPSA, 31, 10, pp. 59-65, (2019)
  • [10] ANOUNE K, BOUYA M, ASTITO A, Et al., Sizing methods and optimization techniques for PV-wind based hybrid renewable energy system: A review, Renewable and Sustainable Energy Reviews, 93, pp. 652-673, (2018)
123