Open AccessGenCo's mid‐term optimal operation analysis: interaction of wind farm, gas turbine, and energy storage systems in electricity and natural gas markets
Author(s) -
Ansari Mostafa,
Latify Mohammad Amin,
Reza Yousefi Gholam
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5910
Subject(s) - natural gas , term (time) , electricity , wind power , gas turbines , energy storage , electricity system , electricity market , environmental science , computer science , electricity generation , engineering , waste management , electrical engineering , mechanical engineering , physics , power (physics) , quantum mechanics
In this study, optimised and coordinated operation planning of a generation company's (GenCo's) generation portfolio consisting of a wind farm, a gas turbine, and energy storage systems [battery and natural gas (NG) energy storage systems] is modelled. In this model, all the electrical energy (EE) and NG trades are performed through long‐term contracts and spot markets in a deregulated environment. It is assumed that EE is traded through day‐ahead market and bilateral contracts while NG is traded via a daily spot market in conjunction with baseline and intra‐day mid‐term contracts. The proposed framework enables the GenCo to maximise its profit in operation planning horizon by coordinating different types of contracts and energy arbitrage. The operation planning model is presented as a mixed‐integer linear programming problem. Five case studies are implemented in GAMS software to evaluate the effectiveness of the proposed model and analyse different factors affecting benefits of the GenCo.