Stochastic Dispatch of Power Grids with High Penetration of Wind Power Using Pareto Optimization

Power network operators are rapidly incorporating wind power generation into their power grids to meet the widely accepted carbon neutrality targets and facilitate the transition from conventional fossil-fuel energy sources to the clean and low-carbon renewable energy sources [...]

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A data-adaptive robust unit commitment model considering high penetration of wind power generation and its enhanced uncertainty set

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2021.106797 ◽

2021 ◽

Vol 129 ◽

pp. 106797

Author(s):

Zhenjia Lin ◽

Haoyong Chen ◽

Qiuwei Wu ◽

Jianping Huang ◽

Mengshi Li ◽

...

Keyword(s):

Power Generation ◽

Wind Power ◽

Unit Commitment ◽

Wind Power Generation ◽

High Penetration ◽

Uncertainty Set ◽

Data Adaptive

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The Research of Wasting Wind Power and Methods of its Consumption Based on that of Fuxin

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.986-987.622 ◽

2014 ◽

Vol 986-987 ◽

pp. 622-629

Author(s):

Tian Long Shao ◽

Jian Zhang ◽

Xu Nan Zhao

Keyword(s):

Power System ◽

Wind Power ◽

Large Scale ◽

Clean Energy ◽

Power Grids ◽

Grid Structure ◽

Wind Power Integration

As a kind of renewable clean energy, the constant access of wind power to power grids is bound to have a great impact on the power system. Based on the grid structure in Fuxin, this paper will state the difficulty of peak regulation and the matter of wasting wind power caused by the large-scale wind power integration and put forward some reasonable methods for using the wasting wind power in the heating in winter. The relevant results indicate that capacity of local consumption of wasting wind power can be improved. Under the circumstances, it can be conductive to solve the problem of wasting wind power results from the difficulty of peak regulation as well as inspire the power system planners.

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Quantification of operating reserves with high penetration of wind power considering extreme values

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v10i2.pp1693-1700 ◽

2020 ◽

Vol 10 (2) ◽

pp. 1693

Author(s):

Johan S. Obando ◽

Gabriel González ◽

Ricardo Moreno

Keyword(s):

Power Systems ◽

Wind Power ◽

Extreme Values ◽

Extreme Value Distribution ◽

Test System ◽

Generalized Extreme Value Distribution ◽

Mixed Integer ◽

Linear Quadratic ◽

High Penetration ◽

Range Of Values

The high integration of wind energy in power systems requires operating reserves to ensure the reliability and security in the operation. The intermittency and volatility in wind power sets a challenge for day-ahead dispatching in order to schedule generation resources. Therefore, the quantification of operating reserves is addressed in this paper using extreme values through Monte-Carlo simulations. The uncertainty in wind power forecasting is captured by a generalized extreme value distribution to generate scenarios. The day-ahead dispatching model is formulated as a mixed-integer linear quadratic problem including ramping constraints. This approach is tested in the IEEE-118 bus test system including integration of wind power in the system. The results represent the range of values for operating reserves in day-ahead dispatching.

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