An Optimal Day-Ahead Thermal Generation Scheduling Method to Enhance Total Transfer Capability for the Sending-Side System with Large-Scale Wind Power Integration

The rapidly increasing penetration of wind power into sending-side systems makes the wind power curtailment problem more severe. Enhancing the total transfer capability (TTC) of the transmission channel allows more wind power to be delivered to the load center; therefore, the curtailed wind power can be reduced. In this paper, a new method is proposed to enhance TTC, which works by optimizing the day-ahead thermal generation schedules. First, the impact of thermal generation plant/unit commitment on TTC is analyzed. Based on this, the day-ahead thermal generation scheduling rules to enhance TTC are proposed herein, and the corresponding optimization models are established and solved. Then, the optimal day-ahead thermal generation scheduling method to enhance TTC is formed. The proposed method was validated on the large-scale wind power base sending-side system in Gansu Province in China; the results indicate that the proposed method can significantly enhance TTC, and therefore, reduce the curtailed wind power.

[1]  G. C. Ejebe,et al.  Available transfer capability calculations , 1998 .

[2]  Minh-Trien Pham,et al.  Multi-Guider and Cross-Searching Approach in Multi-Objective Particle Swarm Optimization for Electromagnetic Problems , 2012, IEEE Transactions on Magnetics.

[3]  Li Wang,et al.  Combining the Wind Power Generation System With Energy Storage Equipment , 2009, IEEE Transactions on Industry Applications.

[4]  Vijay Vittal,et al.  Determination of Transient Stability Constrained Interface Real Power Flow Limit Using Trajectory Sensitivity Approach , 2013, IEEE Transactions on Power Systems.

[5]  M. A. M. Ariff,et al.  Estimating Dynamic Model Parameters for Adaptive Protection and Control in Power System , 2015, IEEE Transactions on Power Systems.

[6]  Surender Reddy Salkuti,et al.  Day-ahead thermal and renewable power generation scheduling considering uncertainty , 2019, Renewable Energy.

[7]  Wei Zhou,et al.  Bilateral Coordinated Dispatch of Multiple Stakeholders in Deep Peak Regulation , 2020, IEEE Access.

[8]  Ruiming Fang,et al.  Identification of vulnerable lines in power grids with wind power integration based on a weighted entropy analysis method , 2017 .

[9]  Ruben Romero,et al.  A zero-one implicit enumeration method for optimizing investments in transmission expansion planning , 1994 .

[10]  Rajiv Varma,et al.  New control of PV solar farm as STATCOM (PV-STATCOM) for increasing grid power transmission limits during night and day , 2015, 2014 IEEE PES T&D Conference and Exposition.

[11]  Qirong Jiang,et al.  Integrating flexible demand response toward available transfer capability enhancement , 2019, Applied Energy.

[12]  Dandan Zhu,et al.  A Practical Load-Source Coordinative Method for Further Reducing Curtailed Wind Power in China with Energy-Intensive Loads , 2018, Energies.

[13]  S. Saadate,et al.  Improving of transient stability of power systems using UPFC , 2005, IEEE Transactions on Power Delivery.

[14]  H.-P. Nee,et al.  An Adaptive Controller for Power System Stability Improvement and Power Flow Control by Means of a Thyristor Switched Series Capacitor (TSSC) , 2010, IEEE Transactions on Power Systems.

[15]  Lei Zhu,et al.  Economic analysis of grid integration of variable solar and wind power with conventional power system , 2020 .

[16]  Jian Xu,et al.  Control of Energy-Intensive Load for Power Smoothing in Wind Power Plants , 2018, IEEE Transactions on Power Systems.

[17]  Sumit Paudyal,et al.  Application of equal area criterion conditions in the time domain for out-of-step protection , 2010, IEEE PES General Meeting.

[18]  Buying Wen,et al.  Monthly electricity purchase and decomposition optimization considering wind power accommodation and day-ahead schedule , 2019, International Journal of Electrical Power & Energy Systems.

[19]  Eran A Barnoy,et al.  Targeted Magnetic Nanoparticles for Mechanical Lysis of Tumor Cells by Low-Amplitude Alternating Magnetic Field , 2016, Materials.

[20]  Prakash K. Ray,et al.  Comprehensive review on enhancement of stability in multimachine power system with conventional and distributed generations , 2018, IET Renewable Power Generation.

[21]  S. Rahman,et al.  Reducing Curtailed Wind Energy Through Energy Storage and Demand Response , 2018, IEEE Transactions on Sustainable Energy.

[22]  Zeev Zalevsky,et al.  Silicon-coated gold nanoparticles nanoscopy , 2016 .