Coordinative Optimization of Emergency Control Based on Constraint Consensus and Differential Evolution in Multi-DC Infeed Power Grid
The multi-direct current (DC) infeed power grid faces the risk of system instability after the DC blocking fault. Coordinating multiple emergency control resources can ensure system stability and control economy. The coordinative optimization model of emergency control is constructed by considering...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2023-06-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202302012 |
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| Summary: | The multi-direct current (DC) infeed power grid faces the risk of system instability after the DC blocking fault. Coordinating multiple emergency control resources can ensure system stability and control economy. The coordinative optimization model of emergency control is constructed by considering three measures: DC power modulation, pump-storage shedding, and load shedding. In order to meet the practical engineering requirements of quickly obtaining a feasible control scheme, an optimization method based on constraint consensus and differential evolution is proposed to solve the optimization model. First, since it is hard to guarantee the feasibility of the emergency control scheme through random initialization, the constraint consensus method is used to construct the feasibility direction vector. The vector guides the control scheme to quickly transform into a feasible scheme along the gradient direction of constraint violation. Then, based on the generated feasible control scheme, a differential evolution optimization strategy is designed by using the direction information of the feasible region, so as to explore and develop the feasible region and improve the economy of the scheme. Finally, the effectiveness of the proposed coordinative optimization method of emergency control is verified by simulating a provincial power grid. |
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| ISSN: | 1004-9649 |