Light storage charging tower random optimization scheduling method considering peak load shifting of power distribution network

Abstract

The invention relates to a light storage charging tower random optimization scheduling method considering peak load shifting of a power distribution network. The method comprises the following steps of: 1, establishing a tower day-ahead multi-objective optimization scheduling model by taking the minimum daily operation cost of the tower and the peak clipping and valley filling of the power distribution network as objectives; 2, evaluating the influence of peak load shifting by adopting the minimum variance of the curve of the electricity purchase quantity of each time period of the tower, andconverting multi-objective optimization into a single-objective optimization problem through an economic conversion coefficient; 3, considering the influence of the output uncertainty of the photovoltaic unit in the tower on day-ahead scheduling, describing by adopting a representative scene, and constructing a random optimization scheduling model by taking the tower day-ahead optimization scheduling and representative scene adjustment as the sum of first-stage decision and second-stage decision, day-ahead scheduling cost and real-time adjustment expected operation cost as targets; and 4, testing the actual light storage charging tower, and solving the model. According to the method, the probability optimal scheduling strategy under the scene that the light storage charging tower participates in peak load shifting of the power distribution network can be effectively obtained, economic, efficient and reliable operation of the tower is guaranteed, and peak load shifting of the regional power distribution network are achieved.

Description

technical field [0001] The invention belongs to the technical field of optimal dispatching of power systems, and relates to a random optimal dispatching method for optical storage charging towers considering peak-shaving and valley-filling of distribution networks. Background technique [0002] Due to the advantages of energy saving and emission reduction, renewable energy and electric vehicles have attracted the attention and attention of various countries, and will become an effective way to deal with energy shortage and environmental pollution. As the scale of electric vehicles continues to grow, vigorously building public charging facilities has become a top priority. The solar-storage charging tower that integrates electric vehicle charging facilities, photovoltaic systems, and energy storage systems (ESS) provides great potential for improving energy utilization efficiency, improving system flexibility, and reducing operating costs. [0003] As the key development dir...

AI Technical Summary

Problems solved by technology

At the same time, the output of photovoltaic units in the charging tower and the prediction error of the tower's power load have certain uncertainties, which will have an impact on the system's energy scheduling.

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