Open AccessDistributed Robust Optimization of Integrated Energy System Considering Integrated Demand Response
Author(s) -
Shuai Dong,
Shaomin Wang,
Zhuoran Lin,
Xuehui Jian,
Fuchun Sun,
Hao Sun
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1972/1/012017
Subject(s) - demand response , mathematical optimization , moment (physics) , computer science , robust optimization , ambiguity , renewable energy , random variable , energy (signal processing) , probability distribution , distributed generation , cumulative distribution function , probability density function , mathematics , engineering , statistics , electricity , physics , classical mechanics , electrical engineering , programming language
Integrated energy system is receiving extensive attention. In order to solve the problem of economic operation caused by uncertainty of renewable energy generation in integrated energy system, a distributed robust optimization method considering integrated demand response is proposed. Firstly, the optimization model of integrated energy system is established by taking the minimum total cost of system operation as the objective function. Secondly, the probability distribution of the random vector of power prediction error is described in the form of set, which does not need to limit the probability distribution form of the random vector, but describes all possible probability distribution of the random variable by moment uncertainty ambiguity sets. Thirdly, the demand response is considered to alleviate the economic growth of integrated energy system in response to uncertainty. Finally, the effectiveness of proposed method is proved by a simple integrated energy system.