Online Optimization Decision Algorithm for Distributed Generations Considering Voltage Prediction in Active Distribution Network

doi:10.12204/j.issn.1000-7229.2022.11.003

Abstract

Abstract:

Under the background of “double carbon”, the access to distributed power generation in the distribution network is gradually increasing. How to decide the output setting value of distributed power generation to make the economic operation of the distribution network becomes a key issue of research. In this paper, an in-depth study on distributed power management and control is carried out. On the basis of a time-varying optimization model, an online optimization decision algorithm for distributed generations considering voltage prediction is proposed to solve the problem that the existing algorithm does not consider the influence of the decision of distributed power in the current period on the decision of distributed power in the future period. Firstly, the network node voltage after the load change should be predicted according to the load change of each node in the distribution network. The predicted node voltage values in distribution network can be further used to decide distributed power generation. Then, the change of the decision setting value of the distributed power source is used to predict the network power flow state after the decision of the distributed power source, and so on to solve the decision setting value of the distributed power source in all periods. For the 502-node distribution network example system, the online optimization decision algorithm proposed in this paper is used to verify the optimal power flow convergence of the distribution network, the convergence of node voltage regulation, and the validity of charging and discharging prediction of the energy storage power supply.

Key words: active distribution network, optimal power flow, online prediction, voltage regulation

CLC Number:

TM761

XI Xiangdong, HOU Xiangchen, SAREN Gaowa, ZHU Xingxu, SUN Zhebin, LIANG Tao, LIU Pengxuan, WANG Xiaokui, LI Cuiping, LI Junhui. Online Optimization Decision Algorithm for Distributed Generations Considering Voltage Prediction in Active Distribution Network[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(11): 24-32.

Figures/Tables 11

Fig.1 Schematic diagram of the framework of online optimization decision algorithm

Fig.2 Flow chart of distribution network node voltage prediction after load fluctuation

Fig.3 Flow chart of online optimization decision algorithm

Table 1 Study parameter settings

Fig.4 Convergence process of the objective function under the given injection of each node

Fig.5 Statistics of the maximum and minimum voltage of each node in the distribution network

Fig.6 Voltage amplitude change of node 423 without online optimization decision algorithm

Fig.7 Voltage amplitude change of node 423 from 13:25 to 13:35 after using the online optimization decision algorithm

Fig.8 Voltage amplitude change of node 423 from 19:55 to 20:05 after using the online optimization decision algorithm

Fig.9 Energy change of energy storage device before and after using the online optimization decision algorithm

Fig.A1 Topology of the 502-node distribution network

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