Optimal sizing of a hybrid power system considering wind power uncertainty using PSO-embedded stochastic simulation

2010 ◽  
Author(s):  
H. Valizadeh Haghi ◽  
S. M. Hakimi ◽  
S. M. Moghaddas Tafreshi
Keyword(s):  
Power System ◽  
Wind Power ◽  
Stochastic Simulation ◽  
Hybrid Power System ◽  
Optimal Sizing ◽  
Hybrid Power

An Improved Optimal Sizing Method for Wind-Solar-Battery Hybrid Power System

2013 ◽  
Vol 4 (3) ◽  
pp. 774-785 ◽  
Author(s):  
Lin Xu ◽  
Xinbo Ruan ◽  
Chengxiong Mao ◽  
Buhan Zhang ◽  
Yi Luo
Keyword(s):  
Power System ◽  
Hybrid Power System ◽  
Optimal Sizing ◽  
Hybrid Power ◽  
Solar Battery

Imperialistic competition algorithm: Novel advanced approach to optimal sizing of hybrid power system

2013 ◽  
Vol 5 (5) ◽  
pp. 053141 ◽  
Author(s):  
Seyed Mahdi Moosavian ◽  
Mostafa Modiri-Delshad ◽  
Nasrudin Abd Rahim ◽  
Jeyraj Selvaraj
Keyword(s):  
Power System ◽  
Hybrid Power System ◽  
Optimal Sizing ◽  
Hybrid Power

scholarly journals Optimal sizing of an AC-coupled hybrid power system considering incentive-based demand response

2019 ◽  
Vol 13 (15) ◽  
pp. 3354-3361 ◽  
Author(s):  
Matthew Combe ◽  
Amin Mahmoudi ◽  
Mohammed H. Haque ◽  
Rahmat Khezri
Keyword(s):  
Power System ◽  
Demand Response ◽  
Hybrid Power System ◽  
Optimal Sizing ◽  
Hybrid Power

Operation and Simulation of Hybrid Wind and Gas Turbine Power System Employing Wind Power Forecasting

2012 ◽  
Author(s):  
Junrong Xia ◽  
Pan Zhao ◽  
Yiping Dai
Keyword(s):  
Power System ◽  
Gas Turbine ◽  
Wind Power ◽  
Wind Farm ◽  
Power Grid ◽  
Wind Farms ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Large Wind ◽  
Operation Scheduling

Due to the intermittence and fluctuation of wind resource, the integration of large wind farms in a power grid introduces an additional stochastic component to power system scheduling. This always brings challenges to maintain the stability of power system. Integrating gas turbine units with wind farms can compensate their output fluctuation. In this paper, a methodology for the operation scheduling of a hybrid power system that consists of a large wind farm and gas turbine units is presented. A statistical model based on numerical weather prediction is used to forecast power output of the wind farm for the next 24 hours at quarter-hour intervals. Forecasts of wind power are used for optimizing the operation scheduling. In order to study the dynamic performance of the proposed hybrid power system, dynamic modeling of this hybrid power system is addressed. Wind farm and gas turbine units are integrated through an AC bus, and then connected to a power grid. An aggregated model of the wind farm and detailed models of gas turbine units are developed, and are implemented using MATLAB/Simulink. Simulation studies are carried out to evaluate the system performance using real weather data. The simulation results show that the proposed hybrid power system can compensate fluctuating wind power effectively and make wind power more reliable.

Modeling a pumped storage hydropower integrated to a hybrid power system with solar-wind power and its stability analysis

2019 ◽  
Vol 248 ◽  
pp. 446-462 ◽  
Author(s):  
Beibei Xu ◽  
Diyi Chen ◽  
M. Venkateshkumar ◽  
Yu Xiao ◽  
Yan Yue ◽  
...  
Keyword(s):  
Solar Wind ◽  
Stability Analysis ◽  
Power System ◽  
Wind Power ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Pumped Storage

scholarly journals An Improved Mixed Integer Linear Programming Approach Based on Symmetry Diminishing for Unit Commitment of Hybrid Power System

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 833 ◽  
Author(s):  
Bo Fu ◽  
Chenxi Ouyang ◽  
Chaoshun Li ◽  
Jinwen Wang ◽  
Eid Gul
Keyword(s):  
Linear Programming ◽  
Power System ◽  
Wind Power ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Unit Commitment ◽  
Mixed Integer ◽  
Programming Approach ◽  
Hybrid Power System ◽  
Hybrid Power

In this paper, the mixed integer linear programming (MILP) for solving unit commitment (UC) problems in a hybrid power system containing thermal, hydro, and wind power have been studied. To promote its efficiency, an improved MILP approach has been proposed, while the symmetric problem in MILP formulas has been solved by reforming hierarchical constraints. Experiments on different scales have been conducted to demonstrate the effectiveness of the proposed approach. The results indicate a dramatic efficiency promotion compared to other popular MILP approaches in large scale power systems. Additionally, the proposed approach has been applied in UC problems of the hybrid power system. Two indexes, fluctuation degree and output degree, have been proposed to investigate the performance of renewable energy sources (RES). Several experiments are also implemented and the results show that the integration of pumped hydroelectric energy storage (PHES) can decrease the output of thermal units, as well as balance wind power fluctuation according to the load demand.

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