Abstract

With the increasing penetration of DG and electric vehicles in distribution network, ADN gradually takes the place of traditional distribution network, which also brings higher requirements to the configuration of distributed ESS; In this paper, we mainly discuss the problem of how to optimize the capacity of wind/photovoltaic/energy storage in ADN with high penetration of DG when the total power connected to the grid of DG is fixed, in order to realize the harmonization of the economic and stable operation in power grid. Firstly, the hybrid system is analysed, which demonstrated the feasibility and rationality of proposed scheme. Secondly, being in distributed network investors’ shoes and considering the constraints of distributed network, DG and ESS, the wind/photovoltaic/energy storage capacity configuration bi-level optimization model is established with the objective function of maximum annual income and minimum fluctuation of DG output power. Then the genetic algorithm is used to solve this model. Finally, the experimental results of 33-bus system verify the effectiveness of the proposed method, and the influence of different penetration scenarios on the annual income of distributed network is also analysed to provide a new idea for the economic operation of ADN.

Details

Title
Research on the Economic Allocation Method of High-Penetrated Distributed Generations for Smoothing the Power Fluctuation of Active Distribution Network
Author
Fu, Ming 1 ; Chen, Chun 1 ; Zhao, Jingtao 1 ; Du, Jian 1 ; Cao, Jing 1 ; Yin, Hongyuan 2 ; Liu, Yujun 2 

 NARI Group Corporation, Nanjing 211000, China 
 School of Electrical Engineering, Southeast University, Nanjing 210096, China 
Publication year
2018
Publication date
Jun 2018
Publisher
IOP Publishing
ISSN
17578981
e-ISSN
1757899X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2556919721
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.