Optimal Configuration of Distributed Power Generation in Active Distribution Network Considering the Characteristics of Wind Power and Load Time Series

doi:10.12204/j.issn.1000-7229.2022.11.006

Abstract

Abstract:

In the optimal configuration of distributed generation in active distribution network, the output and load timing fluctuation characteristics of wind power cause too many scenes, which will not only increase the difficulty of model solution, but also affect the optimal configuration results. For this reason, this paper first introduces Davies-Bouldin index (DBI) and K-means algorithm to cluster and reduce the full-hour scenes. Secondly, a two-level optimal allocation model of active distribution network considering the time series characteristics of wind power and load is established. The upper layer aims to optimize the annual comprehensive economic cost of the system, and the decision variables are the locations and capacities of wind power units connected to the distribution network; The lower level takes the optimal operation voltage level of the system in each period as the objective, and the decision variables are the operation costs under the active management measures of the distribution network; Considering the time sequence outputs of wind power and the time sequence response of load sides, the economic planning of distributed generation in active distribution network is realized. Finally, an improved adaptive genetic algorithm is used to solve the model. The IEEE 33-node system example shows that the proposed method and model not only ensures the diversity and rationality of scenario selection, but also takes into account the wind power output and load timing fluctuation characteristics, and improves the system operation level and reduce the system operation cost.

Key words: timing characteristics, distributed generation, adaptive genetic algorithm, Davies-Bouldin index(DBI), bi-level optimal allocation mode

CLC Number:

TM73

CHU Zhuang, SUN Jianhao, ZHAO Lei, SUN Xu. Optimal Configuration of Distributed Power Generation in Active Distribution Network Considering the Characteristics of Wind Power and Load Time Series[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(11): 53-62.

Figures/Tables 17

Fig.1 Shape parameters and proportion parameters of wind speed at different times

Fig.2 Illumination shape parameters at different times

Fig.3 Load standard deviation and mathematical expectation at different times

Fig.4 Two-layer optimal configuration model

Fig.5 Model solving process

Fig.6 Diagram of IEEE 33-node system

Table 1 Scope of AM regulation measures

Table 2 Simulation data

Fig.7 Variation trend of Davies Bouldin index

Fig.8 Scenes before and after clustering

Table 3 Corresponding results of each scene after clustering

Table 4 Corresponding full-scene results under different K' scenarios

Table 5 Comparison of schemes considering timing

Table 6 Comparison of indices of three schemes

Fig.9 Comparison of node voltage operation

Fig.10 Comparison curve of algorithm convergence

Table 7 Comparison results of algorithm optimization

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