A Joint Planning of DG and Distribution Network Considering Network Loss Based on MIQCP

2021 ◽  
Author(s):  
Xiaoyang Lian ◽  
Mingqiang Wang ◽  
Shuai Liu ◽  
Yuxi Hu ◽  
Qiang Zhang
Keyword(s):  
Distribution Network ◽  
Joint Planning

scholarly journals Joint planning of distribution network and substation considering the effect of electric heating load

2020 ◽  
Vol 446 ◽  
pp. 042018
Author(s):  
Zhi Zhang ◽  
Jingxiong Liu ◽  
Xi Duan ◽  
Yanhui Zhang ◽  
Haibo Zhao ◽  
...  
Keyword(s):  
Distribution Network ◽  
Electric Heating ◽  
Joint Planning ◽  
Heating Load

scholarly journals A Joint Planning Method for Substations and Lines in Distribution Systems Based on the Parallel Bird Swarm Algorithm

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2669 ◽  
Author(s):  
Kuihua Wu ◽  
Kun Li ◽  
Rong Liang ◽  
Runze Ma ◽  
Yuxuan Zhao ◽  
...  
Keyword(s):  
Distribution Systems ◽  
Distribution Network ◽  
Network Planning ◽  
Mixed Integer ◽  
Planning Model ◽  
Joint Planning ◽  
Distribution Network Planning ◽  
Level Model ◽  
Swarm Algorithm ◽  
Bird Swarm Algorithm

Reasonable distribution network planning schemes can not only improve the power quality and power supply capacity of the power system, but also increase the economic benefits and welfare of the whole society. In this work, a bi-level optimization model is proposed for the joint planning of substations and lines in looped urban distribution systems. The upper-level model aims to address the substation locating and sizing problem, whereas the lower-level model the network planning problem. Both the substations directly supplying power to a load and the contralateral substations that act as backup power source to the load are considered in the bi-level model. In order to solve the bi-level planning model which is mathematically mixed integer programing and with plenty of continuous and discrete variables, the bird swarm algorithm is improved and applied based on the idea of parallel computing of big data theory. Simulations on actual planning problems are employed to verify the effectiveness of the proposed bi-level distribution network planning model and the parallel bird swarm algorithm.

scholarly journals Joint Planning of Transmission and Distribution Network Considering Wind-solar Complementarity

2021 ◽  
Vol 233 ◽  
pp. 01123
Author(s):  
Jie Yang ◽  
Yaxin Li ◽  
Dongjun Yang ◽  
Hongsheng Zhao ◽  
Hanping Xu
Keyword(s):  
Distribution Network ◽  
Simulation Method ◽  
Distribution Model ◽  
Planning Model ◽  
Time And Space ◽  
Temporal And Spatial Distribution ◽  
Solar Time ◽  
Joint Planning ◽  
New Energy ◽  
Transmission And Distribution

The temporal and spatial distribution characteristics of wind power and photovoltaic output are complementary to a certain extent, which can stabilize the volatility of single new energy power generation to a certain extent and improve the ability of the grid to absorb new energy. This paper aims to study the joint planning method of power transmission and distribution network considering the complementary characteristics of wind-solar time and space. First, a wind-solar joint distribution model based on the time-varying Copula theory is established, and a wind-solar output simulation method considering the complementary characteristics of time and space is proposed. Then, taking the system investment and new energy consumption capacity as the optimization goals, and taking the system power balance, line transmission capacity, conventional generator set output and climbing capacity as constraints, the joint planning model of transmission and distribution network is established. At last, the analysis of calculation examples proves that the joint planning model of transmission and distribution network considering the complementary characteristics of wind-solar time and space can significantly improve the capacity of the grid to absorb new energy.

Sign in / Sign up

Export Citation Format

Share Document