scholarly journals A combined external delivery optimization model for wind power and thermal power considering carbon trading and tradable green certificates based on Credibility theory

2016 ◽  
Vol 78 ◽  
pp. 51-60 ◽  
Author(s):  
Li-wei Ju ◽  
Huan-huan Li ◽  
Xiaobao Yu ◽  
Fu-gui Dong ◽  
Xue-ying Song ◽  
...  
Keyword(s):  
Wind Power ◽  
Optimization Model ◽  
Thermal Power ◽  
Credibility Theory ◽  
Carbon Trading ◽  
Tradable Green Certificates ◽  
Green Certificates

The Synergistic Scheduling Optimization Model for Wind Power and Thermal Power with Energy Storage System Under the Carbon Emission Trade

2015 ◽  
Vol 8 (1) ◽  
pp. 189-196 ◽  
Author(s):  
Liu Hai-Bo ◽  
Xin He ◽  
Wu Hongliang ◽  
Zhou Bao-Rong ◽  
Dong Nan ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Optimization Model ◽  
Storage Systems ◽  
Storage System ◽  
Thermal Power ◽  
Energy Storage System ◽  
Carbon Trading ◽  
Energy Storage Systems ◽  
Scheduling Optimization

In order to alleviate the effect of randomness and intermittent of wind power output on safe and stable operation of the power grid and improve system consumptive wind power capacity, the paper introduce carbon emissions trading and energy storage systems to construct the collaborative scheduling optimization model of wind power and energy storage system based on the energy generation scheduling optimization model of wind power and thermal power. Then, 10 thermal power and 2800MW wind farms constitute simulation systems to analyze the impact of carbon trading and energy storage systems on system wind power consumptive capacity. Numerical example shows: The introduction of carbon trading can increase wind power capacity and reduce coal consumption systems; the introduction of the energy storage system can gentle wind power output, suppress power fluctuations; While, system optimization results achieve the best when carbon trading and energy storage systems are introduced at the same time.

scholarly journals Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates

2021 ◽  
Vol 13 (22) ◽  
pp. 12423
Author(s):  
Qingyou Yan ◽  
Xingbei Ai ◽  
Jinmeng Li
Keyword(s):  
Co2 Emissions ◽  
Optimization Model ◽  
Power Plants ◽  
Thermal Power ◽  
Economic Benefits ◽  
Carbon Trading ◽  
Virtual Power ◽  
Virtual Power Plants ◽  
Green Certificates ◽  
The Cost

To improve the economic benefits of power systems in the process of achieving multi-energy complementation and decarbonization, this paper proposes a dispatching optimization model for virtual power plants (VPP) that considers carbon trading and green certificates. Firstly, the structure of the VPP system integrating wind and solar generators (WP and PV), power-to-gas (P2G), carbon capture power plants (CCPP) and price-based demand response (PBDR) is established. Secondly, the two-way interactive trading models among the VPP, carbon trading and green certification market are constructed. Then, the dispatching optimization model of the VPP is constructed. Finally, the numerical example is solved and analyzed by the chaotic particle swarm optimization algorithm, which verifies the rationality and effectiveness of the new model. The results show that: (1) when the VPP considers the CCPP-P2G, the cost of the system is reduced by USD 2550.48, while the CO2 emissions are reduced by nearly 50%; (2) the addition of PBDR reduces the CO2 emissions of the thermal power unit, which has reduced the cost of carbon tax by nearly 27.8%, further reducing the cost of the VPP; (3) the introduction of the carbon trading and green certificate market has reduced the operating cost of the VPP by nearly 22.24%.

The Optimization Model of Wind Power and Thermal Power Jointly Run under the TOU Price

2013 ◽  
Vol 772 ◽  
pp. 705-710
Author(s):  
Li Wei Ju ◽  
Zhong Fu Tan ◽  
He Yin ◽  
Zhi Hong Chen
Keyword(s):  
Wind Power ◽  
Optimization Model ◽  
Unit Commitment ◽  
Thermal Power ◽  
Peak Load ◽  
Electricity Demand ◽  
Environmental Benefits ◽  
Power Company ◽  
The Cost ◽  
Pollution Emissions

In order to be able to absorb the abandoned wind, increasing wind-connect amount, the paper study the way of wind power, thermal power joint run and puts forward wind power, thermal power joint run optimization model based on the energy-saving generation dispatching way under the environment of TOU price and the target of minimizing the cost of coal-fired cost, unit commitment and pollution emissions. The numerical example finds, the TOU price can realize the goal of peak load shifting, increasing the electricity demand in the low load and reducing electricity demand in the peak load. The model can increase the amount of wind-connect grid, absorb the abandoned wind, reduce the use of coal-fired units under the environment, increase the average electricity sales price and profit of Power Company. Therefore, the model has significant economical environmental benefits

Analysis on the Penetration Level of Wind Farm Considering Transient Stability Constraint and Uncertainty of Wind Power

2020 ◽  
Vol 13 (7) ◽  
pp. 1078-1086
Author(s):  
Bai Hao ◽  
Huang Andi ◽  
Zhou Changcheng
Keyword(s):  
Wind Power ◽  
Energy Function ◽  
Wind Farm ◽  
Transient Stability ◽  
Programming Model ◽  
Forecast Error ◽  
Credibility Theory ◽  
Mixed Integer ◽  
Stability Constraint ◽  
Level Problem

Background: The penetration level of a wind farm with transient stability constraint and static security constraint has been a key problem in wind power applications. Objective: The study explores maximum penetration level problem of wind considering transient stability constraint and uncertainty of wind power out, based on credibility theory and corrected energy function method. Methods: According to the corrected energy function, the transient stability constraint of the power grid is transferred to the penetration level problem of a wind farm. Wind speed forecast error is handled as a fuzzy variable to express the uncertainty of wind farm output. Then this paper builds a fuzzy chance-constrained model to calculate wind farm penetration level. To avoid inefficient fuzzy simulation, the model is simplified to a mixed integer linear programming model. Results: The results validate the proposed model and investigate the influence of grid-connection node, wind turbine characteristic, fuzzy reliability index, and transient stability index on wind farm penetration level. Conclusion: The result shows that the model proposed in this study can consider the uncertainty of wind power out and establish a quantitative transient stability constraint to determine the wind farm penetration level with a certain fuzzy confidence level.

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