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- 저자 : Jiaqing Zhong (검색결과 2 건)
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Research on “Wind‑Net‑Vehicle Load” Optimization Scheduling Considering Load Margin Domain
Jiaqing Zhong,Yiming Wang,Xiaohui Zhang 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.3
Under the current situation of widespread application of electric vehicles (EV), how to optimize the two uncertain loads of electric vehicle charging and battery charging in the Battery Charge-Swap Station (BCSS) has become an urgent problem. In view of the above problem, this paper defnes the load margin domain index, detects the daily load change, and performs peak shaving and valley flling on the load with large fuctuation range to make it smooth and stable. On this basis, with the obtained load margin domain as a constraint, combined with time-of-use electricity prices and considering wind farm gridconnected access, an “wind-net-vehicle load” optimized dispatching model was established to maximize system economic benefts, and at the same time play an important role in reducing the rate of wind abandonment. Finally, this paper studies the fusion of credibility theory and fuzzy chance constraints programming, introduces the credibility measure index, and makes the explicit equivalent treatment of the fuzzy chance constraint condition. The particle swarm optimization algorithm with a constriction factor is used to optimize the scheduling model. The rationality of the model and its strategy is verifed by examples.
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A Multi-objective Planning of Transmission Line Balance Degree Based on Power Flow Entropy Theory
Jiaqing Zhong,Fanfan Gao,Xiaohui Zhang 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.5
The equilibrium degree of transmission lines in the multi-objective planning of power grid is studied in this paper. The main purpose of the study is to ensure the economy and improve the balanced distribution of active power fl ow of transmission lines, furthermore increase the adaptability of transmission lines in the future power grid. The problem is mainly focus on the single-level of line load rate, in researching on the distribution balance of active power fl ow in transmission lines. Three indexed, which are line load rate power fl ow entropy, active loss rate power fl ow entropy and transmission effi ciency power fl ow entropy, are defi ned in this paper. The weighted sum of the three indexes is defi ned as the balance factor of active power fl ow distribution in transmission lines. This factor is used in transmission network planning to improve the overall balance of active power fl ow distribution in transmission lines. On this basis, a multi-objective programming model with minimum economic cost and maximum equilibrium factor of transmission network is established. The model is solved by using multiobjective bacterial colony chemotactic algorithm (BCC) and optimal compromise solution method. The results verify the superiority and rationality of the proposed method and model.
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