In the book Distributed energy resources in local integrated energy systems: Optimal operation and planning
Elsevier Science Inc., Amsterdam, Netherlands
Summary
System flexibility has been introduced as one of the most significant concepts in energy systems, and accordingly it has captured attention. It should be noted that various parameters and equipment, directly and indirectly, affect system flexibility, among which, demand response (DR) programs, distributed energy resources (DERs), and storage systems, are some important examples. In this respect, a comprehensive review of DR and integrated demand response (IDR) programs has been conducted in this chapter, and the impact of such programs on enhancing the flexibility of local energy systems has been thoroughly investigated. The local energy systems, studied in this chapter, include three residential, commercial, and industrial energy hubs, located in a 33-bus network, equipped with renewable energy sources (RES), as well as electrical and thermal energy storage systems. It should be noted that to evaluate the flexibility of the system, the operation problem of energy hubs has been investigated through simulating six different case studies, and the impact of DR/IDR programs, energy storage systems, RESs, and operation mode has been evaluated on operating costs, emissions, and flexibility. The results showed that each of the hubs will have a different reaction to the presence/absence of the mentioned items.
Keywords: Demand response; local energy systems; multicarrier energy systems; flexibility provision; integrated demand response programs
Editors: Graditi, G.; Di Somma, M.
ISBN: 978-0-12-823899-8
DOI: 
https://doi.org/10.1016/B978-0-12-823899-8.00011-X
DOI of the book:
https://doi.org/10.1016/C2020-0-01023-6
Published: 2021
Citation:
S.A. Mansouri, A. Ahmarinejad, M.S. Javadi, A. Esmaeel Nezhad, M. Shafie-khah, J.P.S. Catalão, Demand response role for enhancing the flexibility of local energy systems, in Distributed energy resources in local integrated energy systems: Optimal operation and planning. Editors Graditi, G.; Di Somma, M.. Ed. Elsevier Science Inc.. Amsterdam, Netherlands, 2021.
IIT-21-289L
