Multi-stage Planning Method for Distribution Network Considering Building Integrated Energy Station

2021 ◽  
Author(s):  
Yunman Li ◽  
Hongjun Gao ◽  
Shuaijia He ◽  
Haibo Li ◽  
Hongcai Zhang ◽  
...  
Keyword(s):  
Distribution Network ◽  
Planning Method ◽  
Multi Stage

A multi-stage approach for optimizing the three-echelon joint newspaper distribution network of two major publishers in São Paulo, Brazil

2021 ◽  
Author(s):  
Claudio B. Cunha ◽  
Cauê S. Guazzelli ◽  
Hugo T.Y. Yoshizaki ◽  
Rhandal F. Masteguim ◽  
Daniel Colacioppo ◽  
...  
Keyword(s):  
Distribution Network ◽  
Sao Paulo ◽  
São Paulo ◽  
Multi Stage ◽  
Newspaper Distribution

scholarly journals Hierarchical Scheduling Scheme for AC/DC Hybrid Active Distribution Network Based on Multi-Stakeholders

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2830 ◽  
Author(s):  
Chang Ye ◽  
Shihong Miao ◽  
Yaowang Li ◽  
Chao Li ◽  
Lixing Li
Keyword(s):  
Optimization Model ◽  
Distribution Network ◽  
Hierarchical Optimization ◽  
Active Distribution Network ◽  
Scheduling Scheme ◽  
Multi Stage ◽  
Flexible Loads ◽  
Level Model ◽  
Load Regulation ◽  
Upper Level

This paper presents a hierarchical multi-stage scheduling scheme for the AC/DC hybrid active distribution network (ADN). The load regulation center (LRC) is considered in the developed scheduling strategy, as well as the AC and DC sub-network operators. They are taken to be different stakeholders. To coordinate the interests of all stakeholders, a two-level optimization model is established. The flexible loads are dispatched by LRC in the upper-level optimization model, the objective of which is minimizing the loss of the entire distribution network. The lower-level optimization is divided into two sub-optimal models, and they are carried out to minimize the operating costs of the AC/DC sub-network operators respectively. This two-level model avoids the difficulty of solving multi-objective optimization and can clarify the role of various stakeholders in the system scheduling. To solve the model effectively, a discrete wind-driven optimization (DWDO) algorithm is proposed. Then, considering the combination of the proposed DWDO algorithm and the YALMIP toolbox, a hierarchical optimization algorithm (HOA) is developed. The HOA can obtain the overall optimization result of the system through the iterative optimization of the upper and lower levels. Finally, the simulation results verify the effectiveness of the proposed scheduling scheme.

Multi-Stage Distribution Network Space Load Forecasting Method Considering Demand Side Resources

2020 ◽  
Vol 15 (12) ◽  
pp. 1474-1481
Author(s):  
Zhidong Yang ◽  
Guangjiu Chen ◽  
Jianwu Ding ◽  
Xiaojing Kang ◽  
Meng Sheng
Keyword(s):  
Distribution Network ◽  
Load Forecasting ◽  
Processing System ◽  
Prediction Method ◽  
Operation Time ◽  
Specific Information ◽  
Demand Side ◽  
Multi Stage ◽  
Prediction Function ◽  
Forecasting Method

Under the background of the further development of electric power, this paper forecasts the spatial load of distribution network, and proposes a multi-stage spatial load forecasting method considering the demand side resources. Firstly, the load of distribution network is pretreated to improve the prediction function of the processing system, and the working efficiency of the whole system is enhanced to solve the maximum load value. Then, the different conditions of demand side resources are considered step by step to realize the fine analysis, confirm the saturation density value of load, understand the specific information of spatial load, master the predicted data status, and finally carry out the comprehensive prediction method research of spatial load to realize the prediction research of spatial load of distribution network. The experimental results show that the multi-stage spatial load forecasting method considering demand side resources has high accuracy and reliability, and its forecasting effect can improve the system forecasting performance to a certain extent, reduce unnecessary operation time, reduce energy and resource consumption, and promote the development of load forecasting research.

Sign in / Sign up

Export Citation Format

Share Document