|Table of Contents|

Configuration planning of mobile energy storage in distribution network considering transportation network failures and PV uncertainty(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2024年5期
Page:
89-99
Research Field:
交通能源融合技术专题
Publishing date:

Info

Title:
Configuration planning of mobile energy storage in distribution network considering transportation network failures and PV uncertainty
Author(s):
CHEN Jun-shuo1;  GU Yu-pei1;  XUE Xiao-bo1;  WANG Qiu-cai2;  YAO Bo-bin2;  LI Yan-bo1
(1. School of Energy and Electrical Engineering, Chang'an University, Xi'an 710064, Shaanxi, China; 2. School of Electronics and Control Engineering, Chang'an University, Xi'an 710064, Shaanxi, China)
Keywords:
traffic engineering;  mobile energy storage;  configuration planning;  power distribution network;  integration of power and transportation networks;  robust configuration
PACS:
U491
DOI:
10.19721/j.cnki.1671-8879.2024.05.008
Abstract:
To address the seasonal operational disparities of the power distribution network and the impact of extreme events on both the power distribution and transportation networks, a two-stage configuration planning of mobile energy storage(MES)model that considering the uncertainty of photovoltaic(PV)output and the fault uncertainty of the integrated power and transportation network system under extreme events was proposed. Firstly, under typical scenarios of normal operation within the power distribution network, considering the uncertainty of PV output, a robust configuration model was established, aiming to minimize the configuration and operational costs of MES as the objective function. The first scheme for the configuration of MES nodes was yielded, thereby optimizing the efficiency of power distribution network operations and curtailing the squandering of energy resources. Subsequently, under scenarios of fault operation within the power distribution and transportation networks, the fault uncertainty of the power distribution network and transportation network were considered in the model. With the objective function aimed to maximize the restoration of critical electrical loads in the power distribution system and minimize the user loss costs, the second-stage configuration model was established. The second scheme for the configuration of MES nodes was yielded, thereby enhancing the system's post-disaster restoration capability and addressing extreme events. Then, integrating the configuration results from the first two steps and applying the G1-CRITIC comprehensive weighting method, the optimal MES configuration nodes considering transportation network failures and PV uncertainty were selected. Finally, to validate the effectiveness of the strategy proposed, an enhanced IEEE 33-node distribution network model was used as a case study. Comparisons were made with three different configuration strategies, MES configuration planning considering the uncertainty of PV output, considering both the fault uncertainty of the power distribution network and transportation network and considering the structure of the transportation network. The results show that the proposed MES configuration strategy which considers transportation network failures and PV uncertainty, are capable of achieving an 84% restoration rate for critical loads and a 26% restoration rate for overall system loads, which is better than the other three configuration strategies for MES, effectively improving the load restoration rate.5 tabs, 10 figs, 27 refs.

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Last Update: 2024-10-20