Research on configuration of multi-energy microgrid in smart park based on typical scenarios

被引:0
|
作者
Situ Y. [1 ]
Zhou L. [1 ]
Chen F. [1 ]
Li M. [1 ]
Zhao A. [2 ]
Zeng M. [2 ]
机构
[1] Guangdong Power Grid Co., Ltd., Dongguan Power Supply Bureau Information Center, Dongguan
[2] School of Economic and Management, North China Electric Power University, Beijing
来源
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2022年 / 43卷 / 09期
关键词
Intelligent park; Micro-grid configuration; Multi-energy coupling; Multi-objective optimization;
D O I
10.19912/j.0254-0096.tynxb.2020-1235
中图分类号
学科分类号
摘要
The multi-energy microgrid for smart zone is an important way to realize the different physical energy systems coupling and increase the proportion of renewable energy in energy consumption increasing. It is significance to formulate a reasonable multi-energy micro-grid configuration method for ensuring the investment returns and the multi-energy microgrid orderly development. In view of this, this paper takes the park level multi- energy microgrid as the research object, proposes to construct the multi- objective optimization model architecture of multi- energy microgrid configuration on the basis of using HMM to construct typical scene set to compress the historical data of the system, and uses the actual load data and distribution of a park to compare and analyze the results, advantages and disadvantages of two different configuration schemes under different scenario, and quantitatively the advantages of multi energy microgrid in reducing system emission intensity and system investment cost are described. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.
引用
收藏
页码:515 / 526
页数:11
相关论文
共 17 条
  • [1] ZENG M., Building an integrated energy system, People's Daily
  • [2] WANG J X, ZHONG H W, MA Z M, Et al., Review and prospect of integrated demand response in the multi-energy system, Applied energy, 202, 9, pp. 772-782, (2017)
  • [3] MAO M Q, DING Y, WANG Y Y, Et al., Micro-grid-The "organic cell" of future energy Internet system, Power system automation, 41, 19, pp. 1-11, (2017)
  • [4] CHENG H Z, HU X, WANG L, Et al., Review of regional comprehensive energy system planning, Automation of electric power systems, 43, 7, pp. 2-13, (2019)
  • [5] JIA H J, WANG D, XU X D, Et al., Research on some problems of regional integrated energy system, Automation of electric power systems, 39, 7, pp. 198-207, (2015)
  • [6] WU G, WANG H J, ZENG B, Et al., Integrated power supply strategy with flexible thermal load, Power construction, 40, 1, pp. 34-43, (2019)
  • [7] WANG J, GU W, LU S, Et al., Collaborative planning of multi-region integrated energy system based on heat network model, Automation of electric power systems, 40, 15, pp. 17-24, (2016)
  • [8] YUN Y, ZHANG S J, XIAO Y H., An MILP (mixed integer linear programming)model for optimal design of district-scale distributed energy resource systems, Energy, 90, 11, pp. 1901-1915, (2015)
  • [9] HUANG G R, LIU W J, WEN F S, Et al., Collaborative planning of integrated electric-gas hybrid energy system with power conversion device, Power construction, 37, 9, pp. 1-13, (2016)
  • [10] SHAN F Z, LI X L, SONG Y M, Et al., Economic scheduling of regional integrated energy system based on improved two-stage robust optimization, Electric measurement and instrumentation, 55, 23, pp. 103-108, (2016)