Robust stochastic optimal short-term generation scheduling of hydrothermal systems in deregulated environment

Year 2018, Volume: 2 Issue: 4, 168 - 179, 31.12.2018

Morteza Nazari-heris , Behnam Mohammadi-ıvatloo Somayeh Asadi

https://doi.org/10.30521/jes.455079

Cited By: 9

Abstract

Hydrothermal systems play a significant role in electric energy systems
as important power generation units, which have been studied in previous researches
considering remarkable efforts. The optimal short-term hydrothermal scheduling (STHS)
aims to attain optimal production scheduling of thermal and hydro plants for determining
minimum operation cost of providing demand in the determined time interval. Different
constraints should be studied in the solution of such issue containing limitations
associated with water discharge, water storage, power production of plants,
power balance of the system and water balance of hydro plants. In addition,
valve impacts of thermal plants and complex hydraulic coupling of hydro plants are
the other operational and technical constraints. In this study, the robust
stochastic STHS is studied considering market price and demand uncertainties.
Accordingly, robust optimization method is employed in this study to model price
uncertainties. In addition, the uncertainties of load demand are handled using
scenario-based modeling procedure. The scheduling problem of hydrothermal
system is studied in a deregulated environment, where the hydrothermal system
belongs to the private company and is capable to sell the surplus generated
power to the market. Accordingly, the company aims to obtain maximum profit by
selling power to market in addition to supplying power demand of the company.
The introduced scheme for stochastic robust STHS is simulated and the provided
solutions are investigated to verify the effectiveness of the scheme.

Keywords

Electric energy systems, Hydrothermal systems, Deregulated environment, Robust optimization method, Short-term scheduling

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