Load Frequency Control of Multi-source Interconnected Power System Based on Gray Wolf Optimization Algorithm
[1]Hou Guolian,Guo Yadi,Gong Linjuan.Load Frequency Control of Multi-source Interconnected Power System Based on Gray Wolf Optimization Algorithm[J].Journal of Zhengzhou University (Engineering Science),2019,40(05):51-57.[doi:10.13705/j.issn.1671-6833.2019.05.013]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40
Number of periods:
2019 05
Page number:
51-57
Column:
Public date:
2019-10-23
- Title:
- Load Frequency Control of Multi-source Interconnected Power System Based on Gray Wolf Optimization Algorithm
- Keywords:
- renewable energy ; multi-source power ; grey wolf optimization ( GWO ) ; load frequency control ; optimal control
- CLC:
- -
- Abstract:
- With the rapid development of interconnected power systems and the large-scale intervention of re�1Fnewable energy, power systems were characterized by interconnectedness and multiple sources. In this circum�1Fstance ,the study in this paper began with the actual needs of multi-source interconnected power system. First�1Fly, a four-area multi-source interconnected power system with the participation of fire, water, gas and renew�1Fable energy was established and each area contained more than one form of power generation. Then, aiming at the randomness and fluctuation of renewable energy generation process, the load frequency was controlled by the grey wolf optimization ( GWO) algorithm based PID controller to stabilize the frequency fluctuation quickly. Finally, the simulation results showed that the proposed controller could achieve good control effect and show strong robustness under different disturbances, regardless of the frequency deviation of the intercon�1Fnected system or the switching power of the tie-line.
- References:
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- Similar References:
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Last Update:
2019-10-26
