Robust Network-Constrained Energy Management of a Multiple Energy Distribution Company in the presence of Multi-Energy Conversion and Storage Technologies

Mirzaei, Mohammad Amin, Zare, Kazem, Mohammadi-Ivatloo, Behnam, Marzband, Mousa and Anvari-Moghaddam, Amjad (2021) Robust Network-Constrained Energy Management of a Multiple Energy Distribution Company in the presence of Multi-Energy Conversion and Storage Technologies. Sustainable Cities and Society, 74. p. 103147. ISSN 2210-6707

[img]
Preview
Text
Final version.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (2MB) | Preview
Official URL: https://doi.org/10.1016/j.scs.2021.103147

Abstract

Multi-energy systems have been developed to supply the multi-energy users economically by considering the physical limitations of different energy networks. This paper proposes a new entity called multiple energy distribution company (MEDC) to meet the electricity, gas, and heat demands of consumers in the presence of renewable energy resources (RESs) and multi-energy conversion technologies with the lowest operating cost. To achieve a more accurate scheduling model, a multi-energy flow model is used that involves practical constraints of the power distribution network, heating distribution network (HDN) and natural gas distribution network simultaneously. A variable mass flow and temperature control strategy is applied in the HDN to make a high-performance energy supply scheme. Multi-energy storage systems (MESSs) and integrated demand response (IDR) are also considered to increase the flexibility of the MEDC for serving multi-type energy demands. Moreover, a hybrid robust-stochastic optimization technique is adopted to handle the system uncertainties, where the uncertainties related to RESs and energy prices are addressed under a scenario-based stochastic programming and a robust optimization technique, respectively. The simulation results demonstrate that the efficient use of MESSs and IDR improves the performance of multi-energy generation units in the presence of multi-energy distribution network constraints and reduces the total operation cost by 15%.

Item Type: Article
Uncontrolled Keywords: Multi-energy systems, Heat distribution network, Gas distribution network, Robust optimization, Multi-energy storage systems, Integrated demand response, Hybrid optimization approach
Subjects: H200 Civil Engineering
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Elena Carlaw
Date Deposited: 16 Jul 2021 15:25
Last Modified: 10 Jul 2022 03:31
URI: http://nrl.northumbria.ac.uk/id/eprint/46696

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics