Optimal Location-Allocation of TCSCs and Transmission Switch Placement Under High Penetration of Wind Power

With the continuous expansion of wind power integration scale, the stability of the power system has been greatly affected, especially the changes of the traditional grid structure, which makes the system splitting face major challenges. In the context of the widespread use of wind energy, a bi-level planning method considering optimal location-allocation of wind power to reduce the difficulty of splitting was proposed. Based on the slow coherence theory, a correlation model that reflects the coherence degree of system buses was constructed. Furthermore, an improved intelligent optimization algorithm was proposed to solve the optimal location-allocation of wind power. The proposed method was conducted in the Institute of Electrical and Electronics Engineering (IEEE) 39-bus system to centralize the splitting scope. It is verified that the proposed method can reduce the system’s possible oscillation modes to realize that less instability occurs under small disturbances, and restrict the range of splitting sections under large disturbances, which ensures the effectiveness of splitting devices to maintain the stable operation of the power grid.

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Optimal Location-allocation for County-level Compulsory School Site Selection Using GIS and Integer Linear Programming

Geo-information Science ◽

10.3724/sp.j.1047.2012.00299 ◽

2012 ◽

Vol 14 (3) ◽

pp. 299-304

Author(s):

Yunfeng KONG ◽

Zhen WANG

Keyword(s):

Linear Programming ◽

Integer Linear Programming ◽

Site Selection ◽

Optimal Location ◽

County Level ◽

School Site ◽

Compulsory School ◽

Location Allocation

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An optimal location allocation by multi-user cooperative mobility for maximizing throughput in MANETs

IEEE Access ◽

10.1109/access.2020.3044886 ◽

2020 ◽

pp. 1-1

Author(s):

Jiquan Xie ◽

Tutomu Murase

Keyword(s):

Optimal Location ◽

Location Allocation

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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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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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