A Supply and Demand Matching Algorithm for Industry-Park-Level Power System Considering Multiple Timeframe Outputs of Distributed Generators

2019 4th Asia Conference on Power and Electrical Engineering

能源学;电工学

Zhang, J.^1 ; Han, X.Y.^1 ; Zhang, W.^2 ; Gao, J.^3 ; Zhang, Q.^1 ; Jin, X.L.^1 ; Wang, Z.^4

State Grid Energy Research Institute Co. Ltd., Beiqijia County of Changping District, Beijing, China^1

State Grid Corporation of China Co. Ltd., 86 West Chang'an Avenue, Beijing, China^2

Economic Research Institute of State Grid Liaoning Electric Power Co. Ltd., 183 Wencui Road, Shenyang, China^3

State Grid Liaoning Electric Power Co. Ltd., 18 Ningbo Road, Shenyang, China^4

关键词: Balance of energies;    Capacity requirement;    Distributed generators;    Distributed sources;    Installed capacity;    Matching algorithm;    Output characteristics;    Supply and demand;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012069/pdf
DOI  :  10.1088/1757-899X/486/1/012069

来源: IOP

【 摘 要 】

In this paper, a supply and demand matching algorithm for industry park level energy systems is proposed. The algorithm can provide the configuration scheme of distributed generators installed capacity in line with the given load demand. Comprehensively considering the output characteristics of distributed sources such as wind and photovoltaic generators in different timeframes, the outputs of distributed generators are classified into several typical modes, and the installed capacity of distributed generator is matched in line with the representative output mode and the load demand curve so as to realize the balance of energy supply and demand in the industry park. The energy storage device is used to balance the energy due to the asynchronism of the distributed generator output and the load demand. The capacity requirements of the battery under various installed capacities of distributed generators are provided. The proposed algorithm is programmed in MATLAB and verified by the actual data of an industry park in northeast China. The results show that the proposed algorithm can comprehensively consider the output characteristics of distributed generator in different time ranges, and provide reasonable matching schemes of energy supply.