Title
Optimization Model for the Integration of the Electric System and Gas Network: Peruvian Case
Date Issued
02 May 2022
Access level
open access
Resource Type
journal article
Author(s)
Publisher(s)
MDPI
Abstract
This paper presents a method for multi-period optimization of natural gas and electric power systems incorporating gas-fired power plants to analyze the impact of the interdependence between those commodities, in terms of cost and energy supply. The proposed method considers electricity network constraints, such as voltage profile, electrical losses, and limits of the transmission lines, as well as the technical restrictions on the gas network, such as the diameter, length, pressure, and limits for those variables. The proposed method was applied to a 12-bus electric network and a 7-node gas network, and several interdependencies between the electricity and the natural gas system network can be observed. The results show how the restrictions cause the behavior of the gas-fired power plants—in a low demand stage, it is restricted even when the gas-fired power generation prices are below the hydraulic generation prices, while in scenarios of higher demand, saturated cargo flows are observed, causing bus bar prices to be affected with higher operating costs. In this sense, the results of the variation in bus bar prices show little price stability in some bus bars in different stages, due to the behavior of the generation supply that is forced to operate by system restrictions.
Volume
15
Issue
10
Number
3847
Language
English
OCDE Knowledge area
Sistemas de automatización, Sistemas de control
Ingeniería del Petróleo, (combustibles, aceites), Energía, Combustibles
Subjects
Scopus EID
2-s2.0-85130553655
Source
Energies
ISSN of the container
19961073
Sponsor(s)
This research was funded by the Public Call Nro 03 Productivity in Research PROPESQ/ PRPG/UFPB Proposal Code PVK13393-2020.
Naval University of Engineering NUE
Universidade Federal da Paraíba UFP
Universidad Nacional de Ingenierias UNI
Sources of information:
Directorio de Producción Científica
Scopus