Power Source Flexibility Margin Quantification Method for Multi-Energy Power Systems Based on Blind Number Theory
Regular Papers|更新时间:2026-10-15
|
Power Source Flexibility Margin Quantification Method for Multi-Energy Power Systems Based on Blind Number Theory
Power Source Flexibility Margin Quantification Method for Multi-Energy Power Systems Based on Blind Number Theory
中国电机工程学会电力与能源系统学报(英文)2023年9卷第6期 页码:2321-2331
作者机构:
1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University,Jilin,China
2. Chengde Power Supply Company, State Grid Jibei Electric Power Company,Chengde,China
3. State Grid Qinghai Electric Power Company,Xining,China
Bai Xiao, Jialiang Wang, Zhiwen Xiao, 等. Power Source Flexibility Margin Quantification Method for Multi-Energy Power Systems Based on Blind Number Theory[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(6):2321-2331.
Bai Xiao, Jialiang Wang, Zhiwen Xiao, et al. Power Source Flexibility Margin Quantification Method for Multi-Energy Power Systems Based on Blind Number Theory[J]. CSEE Journal of Power and Energy Systems, 2023, 9(6): 2321-2331.
Bai Xiao, Jialiang Wang, Zhiwen Xiao, 等. Power Source Flexibility Margin Quantification Method for Multi-Energy Power Systems Based on Blind Number Theory[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(6):2321-2331.DOI: 10.17775/CSEEJPES.2020.03730.
Bai Xiao, Jialiang Wang, Zhiwen Xiao, et al. Power Source Flexibility Margin Quantification Method for Multi-Energy Power Systems Based on Blind Number Theory[J]. CSEE Journal of Power and Energy Systems, 2023, 9(6): 2321-2331.DOI: 10.17775/CSEEJPES.2020.03730.
Power Source Flexibility Margin Quantification Method for Multi-Energy Power Systems Based on Blind Number Theory
摘要
Abstract
The grid connection of a high proportion of renewable energy generation increases the uncertainty in power systems. Therefore
the flexibility margin of different energy sources needs to be quantified to cope with the uncertainty change and maintain the dynamic balance of power system flexibility. In this paper
first
the flexibility characteristics of source
net
load and power and load community (PLC) are analyzed. The dynamic equilibrium relationship among them is briefly introduced. Secondly
taking into full consideration the complex output characteristics of different energy sources and combining their respective flexibility characteristics
a quantitative model of the power source flexibility margin for thermal power
hydro-power
gas power and concentrating solar power is established. A quantitative model for a power source flexibility margin in PV and wind power based on blind number theory is established. Furthermore
the calculation method of theoretical power generation capacity
which can reflect different characteristics of output power of various energy sources
is presented. The actual output power of each power source in each period is predicted. Finally
a case study shows that the model and method can consider the operating characteristics of different types of power sources
and quickly and accurately quantify the adjustable range of flexibility margins of each power source at different periods of time
which can provide an important basis for evaluating the capacity of renewable energy consumption and the optimal operation of multi-energy power systems (MEPSs).