Based on the difference of Newton's method integrated energy system distributed collaborative optimization

被引:0
作者
Liu, Xinying [1 ]
Chen, Xu [2 ]
Ke, Xinyu [3 ]
机构
[1] Liaoning Tech Univ, Fac Elect & Control Engn, Huludao, Peoples R China
[2] Xinjiang Agr Univ, Coll Mech & Elect Engn, Urumqi, Peoples R China
[3] Guizhou Univ, Elect Engn Coll, Guiyang, Peoples R China
关键词
difference Newton method; integrated energy system; energy scheduling; optimization; distributed algorithm; ECONOMIC-DISPATCH; MANAGEMENT; ALGORITHM;
D O I
10.3389/fenrg.2023.1215786
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the integration of renewable energy into the grid, the traditional power system stability faced by huge challenges, and the development of integrated energy system, it is of essence to improve the coupling of multiple integrated energy systems of different types, management in the integrated energy system and reduce the pressure of communication and computing, in this paper, we construct a distributed Newton algorithm based on Newton's method to accelerate the solving speed, which decreases the times of iterations to reduce the pressure of communication and calculation, saving the cost of operation. Besides, privacy protection is particularly important for a distributed control system, under the premise that calculation speed is guaranteed, meanwhile, privacy protection of all agents in an integrated energy system is also critical. This study uses annular directed distributed algorithm to enhance the privacy of integrated distributed energy systems in the intelligent body, so as to fully ensure the privacy safety of all agents in the system. Moreover, the forementioned difference Newton algorithm in this study avoid the behavior of Zeno, greatly accelerating the speed of iteration and finding the best energy market price,. At the same time, the privacy safety of all agentsin the distributed energy system are ensured. Finally, a distributed integrated energy system based on the algorithm proposed by this study has went through theoretical proof and simulation experiment, whose result shows the validity of the algorithm.
引用
收藏
页数:11
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