RESEARCH ON HIERARCHICAL SCHEDULING STRATEGY OF USER SIDE FLEXIBLE ENERGY USE BASED ON DEMAND RESPONSE

被引：0
作者：
Yu, Shui [1 ]
Huang, Xiaoling [1 ]
Han, Fuhong [1 ]
Zhang, Yue [2 ]
机构：
[1] School of Municipal and Environmental Engineering, Shenyang Jianzhu University, Shenyang
[2] College of Computer and Information Science, Chongqing Normal University, Chongqing
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 10期
关键词：
demand response; electric load dispatching; energy storage; flexible energy use; renewable energy;
D O I：
10.19912/j.0254-0096.tynxb.2023-0883
中图分类号：
学科分类号：
摘要：
Enhancing grid stability and supply-demand balance through demand response programs and flexible dispatch of building energy use. The energy-use scheduling strategy is designed based on the photovoltaic（PV) power generation，energy storage equipment，and ground source heat pump（GSHP) system of a small office building. Two parameters are introduced to quantify the potential of flexible energy use in the building，and a building energy-use management module is developed based on the three prioritized principles of maximizing the PV utilization，prioritizing the user's immediate needs，and storing energy at the time of low electricity price. The module is applied in TRNSYS to build a case 3 with a useful energy scheduling strategy in comparison with two reference cases. The results show that the system operating costs are reduced by 65.4% and 56.7%，respectively，within one heating season；the average value of COP for the operation of the ground source heat pump unit is increased from 3.97 to 4.22；and the average daily load transfer rate of the building is as high as 51.38%. Under the market mechanism of peak and valley tariffs，it is of great significance to tap the potential of flexible energy use in buildings，incentivize users to adopt demand response programs and improve grid stability. © 2024 Science Press. All rights reserved.
引用
收藏
页码：134 / 143
页数：9
相关论文
共 21 条
  • [1] HU A G., China’s goal of achieving carbon peak by 2030 and its main approaches［J］, Journal of Beijing University of Technology（social sciences edition）, 21, 3, pp. 1-15, (2021)
  • [2] PENG S J, ZHANG Z D，, Et al., Research on the influence of photovoltaic access on a power grid［J］, Power system protection and control, 49, 5, pp. 157-164, (2021)
  • [3] BAI F, WANG B H., Influence and suppression of grid-connected solar power plants on low frequency oscillation ［J］, Acta energiae solaris sinica, 41, 3, pp. 255-261, (2020)
  • [4] NING N，, LI Q F，, YANG Y W，, Et al., Optimal configuration of multi-energy storage system based on comprehensive demand side response［J］, Science technology and engineering, 21, 15, pp. 6322-6329, (2021)
  • [5] JENSEN S, MARSZAL-POMIANOWSKA A, LOLLINI R, Et al., IEA EBC annex 67 energy flexible buildings［J］, Energy and buildings, 155, pp. 25-34, (2017)
  • [6] MENG X, GUO Q M，, LI Y H，, Et al., Multi-objective optimal configuration of hybrid energy storage capacity considering two-way demand［J］, Acta energiae solaris sinica, 44, 8, pp. 45-53, (2023)
  • [7] ASADINEJAD A, TOMSOVIC K, Optimal use of incentive and price based demand response to reduce costs and price volatility［J］, Electric power systems research, 144, pp. 215-223, (2017)
  • [8] LI H, WANG Z, HONG T Z，, Et al., Energy flexibility of residential buildings： a systematic review of characterization and quantification methods and applications［J］, Advances in applied energy, 3, (2021)
  • [9] LI Y, MENG Q L, WANG Y X，, Et al., Demand response reinforcement learning control of thermal energy storage air-conditioning system under time-of-use pricing［J］, Building science, 38, 6, pp. 178-187, (2022)
  • [10] DONG H Y, YUN Y Y, WANG N B，, Et al., Two-stage dispatch optimization strategy for charging and discharging of electric vehicles based on double electricity price［J］, Acta energiae solaris sinica, 42, 4, pp. 115-124, (2021)
123