Active distribution network planning based on a hybrid genetic algorithm-nonlinear programming method

In view of faults which the traditional genetic algorithm (GA) have such as slow convergence speed and easy to fall into the local optimum. This paper put forward a genetic algorithm which is based on the multi-island group strategy, and applied it to the distribution network planning. The paper has established a planning model which takes the yearly comprehensive cost as objective function and discusses the repair methods of islands, solitary chain and closed-loop to meet with the requirements of grid radial. Finally, the proposed method is planning on a 54-node grid to prove the effectiveness of the algorithm and model.

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Multi-Criteria Analysis for decision making applied to active distribution network planning

Electric Power Systems Research ◽

10.1016/j.epsr.2018.07.017 ◽

2018 ◽

Vol 164 ◽

pp. 103-111 ◽

Cited By ~ 8

Author(s):

Gianni Celli ◽

Nayeem Chowdhury ◽

Fabrizio Pilo ◽

Gian Giuseppe Soma ◽

Matteo Troncia ◽

...

Keyword(s):

Decision Making ◽

Distribution Network ◽

Network Planning ◽

Active Distribution Network ◽

Distribution Network Planning ◽

Multi Criteria Analysis

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Orderly Clustering of Active Distribution Network Planning Scenarios Based on Change Point Theory

2019 IEEE 3rd International Electrical and Energy Conference (CIEEC) ◽

10.1109/cieec47146.2019.cieec-2019236 ◽

2019 ◽

Author(s):

Liu Jieying ◽

Han Yuqi ◽

Tian Yanan ◽

Li Geng

Keyword(s):

Change Point ◽

Distribution Network ◽

Network Planning ◽

Point Theory ◽

Active Distribution Network ◽

Distribution Network Planning

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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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