Power Source Flexibility Margin Quantification Method for Multi-energy Power Systems Based on Blind Number Theory
作者机构：the Key Laboratory of Modern Power System Simulation and Control&Renewable Energy TechnologyMinistry of Education(Northeast Electric Power University)Jilin 132012China Chengde Power Supply CompanyState Grid Jibei Electric Power CompanyChengde 067000China State Grid Qinghai Electric Power CompanyXining 810008China
出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)
年 卷 期：2023年第9卷第6期
页 面：2321-2331页
核心收录：
学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学]
基 金：the National Key Research and Development Program of China(2017YFB0902200) Science and Technology Project of State Grid Corporation of China(5228001700CW)
主 题：Load forecasting multi-energy power system power generation capacity power source flexibility margin
摘 要：The grid connection of a high proportion of re-newable energy generation increases the uncertainty in power ***,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 *** this paper,first,the flexibility characteristics of source,net,load and power and load community(PLC)are *** dynamic equilibrium relationship among them is briefly ***,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 ***,the calculation method of theoretical power generation capacity,which can reflect different characteristics of output power of various energy sources,is *** actual output power of each power source in each period is ***,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).
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