Optimal robust scheduling of energy-water nexus system using robust optimization technique. (December 2021)

• Record Type: Journal Article
• Authors: Guo, Qun; Guo, Tiantong; Tian, Qiannan; Nojavan, Sayyad
• Is Part Of: Computers & chemical engineering. Volume 155(2021)
• Publication Date: 2021-12
• Subjects: Nexus system -- Robust optimization technique (ROT) -- Water and power demands uncertainty -- Deterministic approach -- Combined water-power (CWP) units; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2021.107542
• Languages: English
• ISSNs: 0098-1354

Abstract

Highlights: Risk-based optimal scheduling of energy-water nexus system is studied. The uncertainties of water and power demands are modeled in the nexus system. Robust optimization technique is proposed to consider demand's uncertainty. Robust and deterministic strategies of energy-water nexus are analyzed. Risk-averse and risk-neutral strategies are investigated in the proposed system. Abstract: Clean energy and water are two crucial resources that must be delivered safely in every civilization. Water distribution and electricity transmission networks, which provide these precious resources, have traditionally been conceived of as independent, uncoupled systems. However, they are inextricably linked in what is known as the energy-water nexus in reality. This paper considers a nexus system constructed from combined water-power (CWP) and single water and power energy resources to satisfy the power and water demands. Furthermore, a robust optimization technique (ROT) is proposed to model the uncertainties of water and power demands. ROT models the worst realizations of the uncertain parameters. The obtained results are proper strategy for the conservative system operators. The robust-based optimization problem is solved using OQNLP solver under the GAMS software. Results state that by considering the proposed robust-based optimization model, the total operation cost will be increased by about 9.52% for the conservative operators.