scholarly journals A hybrid robust-stochastic approach for unit commitment scheduling in integrated thermal electrical systems considering high penetration of solar power

2022 ◽  
Vol 49 ◽  
pp. 101756
Author(s):  
Nima Nasiri ◽  
Mohamad Reza Banaei ◽  
Saeed Zeynali
Keyword(s):  
Solar Power ◽  
Unit Commitment ◽  
Stochastic Approach ◽  
Electrical Systems ◽  
High Penetration

scholarly journals Profit-Based Unit Commitment for a GENCO Equipped with Compressed Air Energy Storage and Concentrating Solar Power Units

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 576
Author(s):  
Mostafa Nasouri Gilvaei ◽  
Mahmood Hosseini Imani ◽  
Mojtaba Jabbari Ghadi ◽  
Li Li ◽  
Anahita Golrang
Keyword(s):  
Energy Storage ◽  
Solar Power ◽  
Unit Commitment ◽  
Thermal Power ◽  
System Structure ◽  
Compressed Air ◽  
Mixed Integer ◽  
Compressed Air Energy Storage ◽  
Concentrating Solar Power ◽  
Unit Commitment Problem

With the advent of restructuring in the power industry, the conventional unit commitment problem in power systems, involving the minimization of operation costs in a traditional vertically integrated system structure, has been transformed to the profit-based unit commitment (PBUC) approach, whereby generation companies (GENCOs) perform scheduling of the available production units with the aim of profit maximization. Generally, a GENCO solves the PBUC problem for participation in the day-ahead market (DAM) through determining the commitment and scheduling of fossil-fuel-based units to maximize their own profit according to a set of forecasted price and load data. This study presents a methodology to achieve optimal offering curves for a price-taker GENCO owning compressed air energy storage (CAES) and concentrating solar power (CSP) units, in addition to conventional thermal power plants. Various technical and physical constraints regarding the generation units are considered in the provided model. The proposed framework is mathematically described as a mixed-integer linear programming (MILP) problem, which is solved by using commercial software packages. Meanwhile, several cases are analyzed to evaluate the impacts of CAES and CSP units on the optimal solution of the PBUC problem. The achieved results demonstrate that incorporating the CAES and CSP units into the self-scheduling problem faced by the GENCO would increase its profitability in the DAM to a great extent.

scholarly journals An Empiric-Stochastic Approach, Based on Normalization Parameters, to Simulate Solar Irradiance

2019 ◽  
Vol 141 (6) ◽  
Author(s):  
Edith Osorio de la Rosa ◽  
Guillermo Becerra Nuñez ◽  
Alfredo Omar Palafox Roca ◽  
René Ledesma-Alonso
Keyword(s):  
Experimental Data ◽  
Solar Irradiance ◽  
Solar Power ◽  
Moving Average ◽  
Estimation Method ◽  
Synthetic Data ◽  
Stochastic Approach ◽  
Photovoltaic System ◽  
Fitting Procedure ◽  
Irradiance Data

This paper presents a methodology to estimate solar irradiance using an empiric-stochastic approach, which is based on the computation of normalization parameters from the solar irradiance data. For this study, the solar irradiance data were collected in a weather station during a year. Posttreatment included a trimmed moving average to smooth the data, the performance of a fitting procedure using a simple model to recover normalization parameters, and the estimation of a probability density, which evolves along the daytime, by means of a kernel density estimation method. The normalization parameters correspond to characteristic physical variables that allow us to decouple the short- and long-term behaviors of solar irradiance and to describe their average trends with simple equations. The normalization parameters and the probability densities allowed us to build an empiric-stochastic methodology that generates an estimate of the solar irradiance. Finally, in order to validate our method, we had run simulations of solar irradiance and afterward computed the theoretical generation of solar power, which in turn had been compared with the experimental data retrieved from a commercial photovoltaic system. Since the simulation results show a good agreement with the experimental data, this simple methodology can generate the synthetic data of solar power production and may help to design and test a photovoltaic system before installation.

Unit commitment using dynamic programming-an exhaustive working of both classical and stochastic approach

2013 ◽  
Vol 7 (3) ◽  
pp. 333-341 ◽  
Author(s):  
Balasubramaniyan Saravanan ◽  
Surbhi Sikri ◽  
K. S. Swarup ◽  
D. P. Kothari
Keyword(s):  
Dynamic Programming ◽  
Unit Commitment ◽  
Stochastic Approach

Transmission Contingency-Constrained Unit Commitment with High Penetration of Renewables via Interval Optimization

2016 ◽  
pp. 1-1 ◽  
Author(s):  
Yaowen Yu ◽  
Peter B. Luh ◽  
Eugene Litvinov ◽  
Tongxin Zheng ◽  
Jinye Zhao ◽  
...  
Keyword(s):  
Unit Commitment ◽  
Interval Optimization ◽  
High Penetration
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