Dynamic Optimal Power Flow Based on a Spatio-Temporal Wind Speed Forecast Model

2021 ◽  
Author(s):  
Wenlei Bai ◽  
Xinxin Zhu ◽  
Kwang Y. Lee
Keyword(s):  
Wind Speed ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Forecast Model ◽  
Optimal Power ◽  
Spatio Temporal ◽  
Wind Speed Forecast

scholarly journals Optimal Management of a Microgrid with Radiation and Wind-Speed Forecasting: A Case Study Applied to a Bioclimatic Building

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2398
Author(s):  
Luis O. Polanco Vásquez ◽  
Víctor M. Ramírez ◽  
Diego Langarica Córdova ◽  
Juana López Redondo ◽  
José Domingo Álvarez ◽  
...  
Keyword(s):  
Time Series ◽  
Wind Speed ◽  
Energy Management ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Photovoltaic System ◽  
Management Tool ◽  
Optimal Power ◽  
Double Exponential Smoothing ◽  
The University

An Energy Management System (EMS) that uses a Model Predictive Control (MPC) to manage the flow of the microgrids is described in this work. The EMS integrates both wind speed and solar radiation predictors by using a time series to perform the primary grid forecasts. At each sampling data measurement, the power of the photovoltaic system and wind turbine are predicted. Then, the MPC algorithm uses those predictions to obtain the optimal power flows of the microgrid elements and the main network. In this work, three time-series predictors are analyzed. As the results will show, the MPC strategy becomes a powerful energy management tool when it is integrated with the Double Exponential Smoothing (DES) predictor. This new scheme of integrating the DES method with an MPC presents a good management response in real-time and overcomes the results provided by the Optimal Power Flow method, which was previously proposed in the literature. For the case studies, the test microgrid located in the CIESOL bioclimatic building of the University of Almeria (Spain) is used.

scholarly journals Realistic Optimal Power Flow of a Wind-Connected Power System With Enhanced Wind Speed Model

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 176973-176985
Author(s):  
Saher Albatran ◽  
Salman Harasis ◽  
Muwaffaq Ialomoush ◽  
Yazan Alsmadi ◽  
Mohammad Awawdeh
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power

Optimal power flow based TU/CHP/PV/WPP coordination in view of wind speed, solar irradiance and load correlations

2015 ◽  
Vol 96 ◽  
pp. 131-145 ◽  
Author(s):  
Rasoul Azizipanah-Abarghooee ◽  
Taher Niknam ◽  
Mostafa Malekpour ◽  
Farhad Bavafa ◽  
Mahdi Kaji
Keyword(s):  
Wind Speed ◽  
Solar Irradiance ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power

scholarly journals Optimal Power Flow Solution of Wind-Integrated Power System Using Novel Metaheuristic Method

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6117
Author(s):  
Amr Khaled Khamees ◽  
Almoataz Y. Abdelaziz ◽  
Makram R. Eskaros ◽  
Adel El-Shahat ◽  
Mahmoud A. Attia
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Wind Energy ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Wind Farm ◽  
Wind Farms ◽  
Energy System ◽  
Optimal Power ◽  
Metaheuristic Methods

Wind energy is particularly significant in the power system today since it is a cheap and clean power source. The unpredictability of wind speed leads to uncertainty in devolved power which increases the difficulty in wind energy system operation. This paper presents a stochastic optimal power flow (SCOPF) for obtaining the best scheduled power from wind farms while lowering total operational costs. A novel metaheuristics method called Aquila Optimizer (AO) is used to address the SCOPF problem due to its highly nonconvex and nonlinear nature. Wind speed is represented by the Weibull probability distribution function (PDF), which is used to anticipate the cost of wind-generated power from a wind farm based on scheduled power. Weibull parameters that provide the best match to wind data are estimated using the AO approach. The suggested wind generation cost model includes the opportunity costs of wind power underestimation and overestimation. Three IEEE systems (30, 57, and 118) are utilized to solve optimal power flow (OPF) using the AO method to prove the accuracy of this method, and results are compared with other metaheuristic methods. With six scenarios for the penalty and reverse cost coefficients, SCOPF is applied to a modified IEEE-30 bus system with two wind farms to obtain the optimal scheduled power from the two wind farms which reduces total operation cost.

Optimal Power Flow Using Newton’s Method

2012 ◽  
Vol 3 (2) ◽  
pp. 167-169
Author(s):  
F.M.PATEL F.M.PATEL ◽  
◽  
N. B. PANCHAL N. B. PANCHAL
Keyword(s):  
Newton’S Method ◽  
Newton's Method ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power
Sign in / Sign up

Export Citation Format

Share Document