Energy storage optimization of multi-energy supplement system based on coupled Markov model

被引：0

作者：

Liu, Yanan ^{[1
]}

Zhang, Qian ^{[2
]}

Jiang, Chen ^{[1
]}

Geng, Deji ^{[2
]}

Xu, Songmei ^{[1
]}

Zhai, Suwei ^{[3
]}

机构：

[1] Jiangsu Frontier Elect Technol Co Ltd, Nanjing 211100, Peoples R China

[2] State Grid Jiangsu Elect Power Co Ltd, Taizhou Power Supply Co, Taizhou 225300, Peoples R China

[3] Hohai Univ, Coll Energy & Elect Engn, Nanjing 210098, Peoples R China

来源：

2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年

关键词：

coupled markov model; energy storage optimization; multi energy supplement system; renewable energy; OPERATION; NETWORK;

D O I：

10.1109/CAC51589.2020.9327878

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To realize the reasonable configuration of energy storage equipment in the multi-energy complementary system, the random characteristics of the renewable energy power generation system and the load during the actual operation are fully considered. A coupled Markov modeling method is proposed in this paper, the coupled Markov model can effectively characterize multiple random variables in the system. Different from the traditional optimization method of selecting specific data, this paper constructs a data sequence based on the coupled Markov mode, which can comprehensively and objectively reflect the uncertainty and randomness of all random variables. Based on this, an optimization model is constructed, and the power and capacity configuration scheme of the energy storage device is obtained through optimization. The simulation result and analysis comparison show the objectivity and rationality of the proposed optimization method.

引用

页码：6645 / 6650

页数：6

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