A Two-stage Stochastic Model for Coordinated Operation of Natural Gas and Microgrid Networks

Author(s)

Zandrazavi, Seyed Farhad ; Tabares, Alejandra ; Franco, John Fredy ; Shafie-khah, Miadreza ; Soares, Joao ; Vale, Zita ; IEEE

• Document type: Journal article
• Source: 2023 IEEE BELGRADE POWERTECH; v. N/A, p. 7-pg., 2023-01-01.

Abstract

On the one hand, natural gas-fired dispatchable distributed generation (DG) units and batteries can be used in microgrids (MG) to cope with the intermittency of renewable energy resources such as wind turbines and photovoltaic units. On the other hand, the uncertainties in MG influence the gas system through the gas-fired DG units, making these systems' optimal operation interdependent. As a result, firstly, a novel mixed-integer nonlinear model for optimal integrated operation of gas and MG networks is proposed. Then, the model is linearized, guaranteeing the optimality of solutions and enhancing the model's tractability. Finally, a two-stage stochastic mode is proposed to include the uncertainties linked to electricity price, wind power speed, solar irradiation, and demand. In contrast, the value of the stochastic solution measurement is calculated to justify the use of the stochastic approach. The results indicate that the total cost of the integrated system decreased by 17.82% using the stochastic model compared to the deterministic approach. (AU)

• FAPESP's process: 15/21972-6 - Optimization of the operation and planning in transmission and distribution systems
• Grantee: Rubén Augusto Romero Lázaro
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 22/03161-4 - Novel optimization-based paradigm for the expansion and operational planning of electrical distribution systems with local electricity markets
• Grantee: John Fredy Franco Baquero
• Support Opportunities: Research Grants - Initial Project
• FAPESP's process: 18/08008-4 - Coordinated energy resource management under uncertainty considering electric vehicles and demand flexibility in distribution systems
• Grantee: Rubén Augusto Romero Lázaro
• Support Opportunities: Regular Research Grants