Network-constrained thermal unit commitment for hybrid AC/DC transmission grids under wind power uncertainty

2020 ◽  
Vol 258 ◽  
pp. 114031
Author(s):  
Mohasha Isuru ◽  
Matthias Hotz ◽  
H.B. Gooi ◽  
Wolfgang Utschick
Keyword(s):  
Wind Power ◽  
Unit Commitment ◽  
Thermal Unit

scholarly journals Stochastic Unit Commitment Problem, Incorporating Wind Power and an Energy Storage System

2020 ◽  
Vol 12 (23) ◽  
pp. 10100
Author(s):  
Khalid Alqunun ◽  
Tawfik Guesmi ◽  
Abdullah F. Albaker ◽  
Mansoor T. Alturki
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Unit Commitment ◽  
Mixed Integer ◽  
Master Problem ◽  
Thermal Unit ◽  
Unit Commitment Problem ◽  
Battery Energy Storage ◽  
Commitment Problem ◽  
Battery Energy

This paper presents a modified formulation for the wind-battery-thermal unit commitment problem that combines battery energy storage systems with thermal units to compensate for the power dispatch gap caused by the intermittency of wind power generation. The uncertainty of wind power is described by a chance constraint to escape the probabilistic infeasibility generated by classical approximations of wind power. Furthermore, a mixed-integer linear programming algorithm was applied to solve the unit commitment problem. The uncertainty of wind power was classified as a sub-problem and separately computed from the master problem of the mixed-integer linear programming. The master problem tracked and minimized the overall operation cost of the entire model. To ensure a feasible and efficient solution, the formulation of the wind-battery-thermal unit commitment problem was designed to gather all system operating constraints. The solution to the optimization problem was procured on a personal computer using a general algebraic modeling system. To assess the performance of the proposed model, a simulation study based on the ten-unit power system test was applied. The effects of battery energy storage and wind power were deeply explored and investigated throughout various case studies.

scholarly journals Unit Commitment Comprehensive Optimal Model Considering the Cost of Wind Power Curtailment and Deep Peak Regulation of Thermal Unit

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 71318-71325 ◽  
Author(s):  
Bin Yang ◽  
Xiangyang Cao ◽  
Zhenhua Cai ◽  
Tongguang Yang ◽  
Dawei Chen ◽  
...  
Keyword(s):  
Wind Power ◽  
Unit Commitment ◽  
Thermal Unit ◽  
Optimal Model ◽  
The Cost

scholarly journals Wind Integrated Thermal Unit Commitment Solution Using Grey Wolf Optimizer

2017 ◽  
Vol 7 (5) ◽  
pp. 2309
Author(s):  
S. Siva Sakthi ◽  
R.K. Santhi ◽  
N. Murali Krishnan ◽  
S. Ganesan ◽  
S. Subramanian
Keyword(s):  
Power System ◽  
Wind Power ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Energy Sources ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Thermal Unit ◽  
Solution Quality

The augment of ecological shield and the progressive exhaustion of traditional fossil energy sources have increased the interests in integrating renewable energy sources into existing power system. Wind power is becoming worldwide a significant component of the power generation portfolio. Profuse literature have been reported for the thermal Unit Commitment (UC) solution. In this work, the UC problem has been formulated by integrating wind power generators along with thermal power system. The Wind Generator Integrated UC (WGIUC) problem is more complex in nature, that necessitates a promising optimization tool. Hence, the modern bio-inspired algorithm namely, Grey Wolf Optimization (GWO) algorithm has been chosen as the main optimization tool and real coded scheme has been incorporated to handle the operational constraints. The standard test systems are used to validate the potential of the GWO algorithm. Moreover, the ramp rate limits are also included in the mathematical WGIUC formulation. The simulation results prove that the intended algorithm has the capability of obtaining economical resolutions with good solution quality.

Thermal Unit Scheduling for CO2Reduction Including Wind Power and Electric Vehicles

2013 ◽  
Vol 17 (1) ◽  
pp. 109-115 ◽  
Author(s):  
Daiki Yamashita ◽  
◽  
Ryuichi Yokoyama ◽  
Takahide Niimura ◽  
Keyword(s):  
Wind Power ◽  
Electric Vehicles ◽  
Wind Farm ◽  
Unit Commitment ◽  
Wind Farms ◽  
Model System ◽  
Frequency Regulation ◽  
Shadow Prices ◽  
Thermal Unit ◽  
Trade Off

In this paper, we present a method to determine unit commitment schedules, while considering CO2emissions and costs along with the frequency regulation capability of the units, in order tomitigate fluctuations in wind power. We developed an extended procedure that obtains a trade-off solution of cost versus CO2emissions, including a significant wind power penetration, and developed Plug-in Electric Vehicles (PEVs) as additional reserves. The proposed method was tested on a 10-unit, 24-hour model system using the estimated wind power curve derived from an actual wind farm. The results, such as shadow prices of CO2obtained using the trade-off analysis, may provide a basis of evaluating the equivalent cost of wind farms and PEVs, and their contributions to CO2reduction.

Sign in / Sign up

Export Citation Format

Share Document