Open AccessOptimal scheduling of integrated energy system considering integrated demand response
Author(s) -
Shaokun Jia,
Jing Xu,
Jie Bai,
Songyang Liu,
Pengquan Xia
Publication year - 2022
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 - 10.1088/1742-6596/2237/1/012026
Subject(s) - particle swarm optimization , demand response , scheduling (production processes) , computer science , mathematical optimization , reliability (semiconductor) , energy (signal processing) , energy supply , energy demand , reliability engineering , engineering , algorithm , mathematics , economics , electricity , power (physics) , statistics , physics , quantum mechanics , electrical engineering , natural resource economics
To improve the reliability and economy of integrated energy system, considering the demand response strategy of the integrated energy system, the integrated energy system of IDR is established. Taking the minimum cost as the objective function, a comprehensive energy system scheduling model considering the balance of supply and demand and the constraints of energy supply and storage equipment is proposed. The improved second-order oscillatory particle swarm optimization algorithm is used to solve the model. The effectiveness of the proposed model and algorithm is verified by example simulation.