Intelligent Regulation Method for a Controllable Load Used for Improving Wind Power Integration

Jia-Jue Li, Bao-Zhu Shao, Jun-Hui Li, Wei-Chun Ge, Jia-Hui Zhang and Heng-Yu Zhou
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Jia-Jue Li: Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd., Shenyang 110006, China
Bao-Zhu Shao: Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd., Shenyang 110006, China
Jun-Hui Li: School of Electrical Engineering, Northeast Electric Power University, Jilin City 132012, China
Wei-Chun Ge: State Grid Liaoning Electric Power Co. Ltd., Shenyang 110004, China
Jia-Hui Zhang: School of Electrical Engineering, Northeast Electric Power University, Jilin City 132012, China
Heng-Yu Zhou: School of Electrical Engineering, Northeast Electric Power University, Jilin City 132012, China

Energies, 2018, vol. 11, issue 11, 1-14

Abstract: Improving the safety and stability of power systems by adjusting the controllable load to improve the wind power integration has become a hot research topic. However, the methodology of accurately controlling the load and fundamentally improving the wind power integration capacity has yet to be studied. Therefore, this paper proposes an intelligent regulation method for a controllable load. This method takes the new energy consumption assessment as feedback, and it combines the wind power acceptance assessment and scheduling plan to form the internal and external loop control structure, and it derives the controllable load intelligent regulation architecture. The load curve is decomposed by an interactive load observer, and the load curve is adjusted by the interactive load controller according to a given standard, thereby improving the new energy acceptance capability. Finally, based on the actual grid operation data of a provincial power grid in Northeastern China, the source grid load balancing process and the interactive load regulation model of the wind power system are simulated. The above method verifies the validity and rationality of the proposed method.

Keywords: wind power; integration assessment; interactive load; considerable decomposition; controllable response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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