Intelligent Control Methods of Demand Side Management in Integrated Energy System: Literature Review and Case Study

被引:1
|
作者
Wang, Yan [1 ]
Su, Pengwei [1 ]
Zhao, Jun [1 ]
Deng, Shuai [1 ]
Li, Hao [1 ]
Jin, Yu [1 ]
机构
[1] Tianjin Univ, Minist Educ China, Key Lab Efficient Utilizat Low & Medium Grade Ene, Tianjin 300350, Peoples R China
来源
ADVANCED COMPUTATIONAL METHODS IN ENERGY, POWER, ELECTRIC VEHICLES, AND THEIR INTEGRATION, LSMS 2017, PT 3 | 2017年 / 763卷
关键词
Integrated energy system; Demand side management; Optimization algorithm; Intelligent control methods; STORAGE; BUILDINGS; POWER; ELECTRICITY; WIND;
D O I
10.1007/978-981-10-6364-0_56
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Demand side management (DSM) would become an important method to guarantee the stability and reliability of the innovative energy structure model, have received increasing attention. DSM is regarded as an integrated technology solution for planning, operation, monitoring and management of building utility activities. However, there are several problems and technical challenges on the research level of fundamental methodology, which causes difficulties for the practical application of intelligent DSM control strategy. Therefore, optimization would play a vital role in the implementation process of DSM. A real case study was presented to demonstrate how to relieve and solve the existing technical challenges by the application effective optimization strategy and methods of DSM. At last, several possible research directions, that application of intelligent methods in the development of DSM optimization techniques, were presented.
引用
收藏
页码:556 / 565
页数:10
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