Optimal Storage Planning in Active Distribution Network Considering Uncertainty of Wind Power Distributed Generation

Distributed generation (DG) has an important influence on the voltage of active distribution networks. A unidirectional power distribution network will be transformed into a bidirectional, multiple power supply distribution network after DGs access to the distribution network and the direction of power flow is also changed. Considering the traditional forward and backward substitution algorithm can only deal with the equilibrium node and PQ nodes, so the other types of DGs should be transformed into PQ nodes, then its impact on active distribution network can be analyzed via the forward and backward substitution algorithm. In this paper, the characteristics of active distribution networks are analyzed firstly and a novel approach is proposed to convert PI nodes into PQ nodes. Finally, a novel forward and backward substitution algorithm is adopted to calculate the power flow of the active distribution network with DGs. Extensive validation of IEEE 18 and 33 nodes distribution system indicates that this method is feasible. Numerical results show that when DG is accessed to the appropriate location with proper capacity, it has a significant capability to support the voltages level of distribution system.

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Simulation Analysis for the Impact of Voltage Distribution of Distribution System with Distributed Generation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.732-733.936 ◽

2013 ◽

Vol 732-733 ◽

pp. 936-940

Author(s):

Si Qing Sheng ◽

Lin Tao Fan ◽

Xiao Lin Tan

Keyword(s):

Wind Power ◽

Distributed Generation ◽

Distribution System ◽

Simulation Analysis ◽

Distribution Network ◽

Power Network ◽

Voltage Distribution ◽

The Impact

From the angle of voltage distribution, the influence of DG on power network was studied, various access position and access capacity of DG were analyzed, and conclusion can be drew that DG can help optimize the voltage distribution in the power network. Besides, the output of photovoltaic and wind power was characterized by varying with time, and based on that, the voltage distribution was simulated when they were both connected in the same distribution network. According to the simulation result, some valuable principles and necessary procedures have been proposed.

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Research on Active Distribution Network Planning with Electric Vehicles and Distributed Generation

E3S Web of Conferences ◽

10.1051/e3sconf/202125701010 ◽

2021 ◽

Vol 257 ◽

pp. 01010

Author(s):

Lingyan Wei ◽

Bing Wang ◽

Xiaoyue Wu ◽

Fumian Wang ◽

Peng Chen

Keyword(s):

Time Series ◽

Distributed Generation ◽

Distribution Network ◽

Network Planning ◽

Clean Energy ◽

Space Time ◽

Maintenance Cost ◽

Active Distribution Network ◽

Distribution Network Planning ◽

Ev Charging

With the increasing number of Electric Vehicle (EV) and clean energy generation year by year, EV and distributed generation (DG) have become issues that have to be considered in active distribution network planning. Firstly, considering the time series characteristics of DG, the output time series model of DG is established; Secondly, the parking demand and space-time movement model of EV is established, and the Monta Carlo method is used to simulate the space-time distribution of EV charging load in different planning areas; Finally, taking the system investment and annual operation and maintenance cost, voltage index and environmental index as the objective function, and considering the node voltage, node current and DG installation capacity as constraints. The improved particle swarm optimization algorithm is used to solve the planning model, and the access location and capacity of EV charging station and DG are obtained. Taking a distribution network as an example, the rationality and effectiveness of the proposed model and algorithm are verified.

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