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Research on Splitting Optimization Considering the Planning of Wind Power Integration

doi: 10.3390/su12187726
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.
- Wuhan University China (People's Republic of)
- Wuhan University China (People's Republic of)
Environmental effects of industries and plants, TJ807-830, splitting control, wind power, TD194-195, Renewable energy sources, Environmental sciences, intelligent optimization, GE1-350, slow coherence theory
Environmental effects of industries and plants, TJ807-830, splitting control, wind power, TD194-195, Renewable energy sources, Environmental sciences, intelligent optimization, GE1-350, slow coherence theory
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