Publications

Publications by CPES

2021

Economic-Effective Multi-Energy Management Considering Voltage Regulation Networked With Energy Hubs

Authors
Zhao, P; Gu, C; Cao, Z; Hu, Z; Zhang, X; Chen, X; Hernando-Gil, I; Ding, Y;

Publication
IEEE Transactions on Power Systems

Abstract

2021

Distributionally Robust Hydrogen Optimization With Ensured Security and Multi-Energy Couplings

Authors
Zhao, P; Gu, C; Hu, Z; Xie, D; Hernando-Gil, I; Shen, Y;

Publication
IEEE Transactions on Power Systems

Abstract

2021

Model order reduction for reliability assessment of flexible power networks

Authors
Ndawula, MB; Hernando-Gil, I; Li, R; Gu, C; De Paola, A;

Publication
International Journal of Electrical Power & Energy Systems

Abstract

2021

Three-Phase Optimal Power Flow based on Affine Arithmetic

Authors
Moran, JP; Lopez, JC; Feltrin, AP;

Publication
2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)

Abstract

2021

A Three-level Neutral-Point Clamped Dual-Output Converter

Authors
Hussein, AS; Ghias, A;

Publication
2021 IEEE Energy Conversion Congress and Exposition (ECCE)

Abstract

2021

Graph partitioning-based clustering for the planning of distribution network topology using spatial- temporal load forecasting

Authors
Zambrano-Asanza S.; Cando D.J.; Chuqui F.H.; Sanango J.; Franco J.F.;

Publication
2021 IEEE Pes Innovative Smart Grid Technologies Conference Latin America Isgt Latin America 2021

Abstract
Planning the expansion and the new topology of distribution networks requires knowing the location and characterization of the load as well as its future growth. Spatial load forecasting is a key tool in this task, providing high spatial resolution and adequate temporal granularity. Nowadays, with the penetration of distributed energy resources, multiple microgrid connection strategies, and implementation of self-healing and protection schemes, it is necessary to identify load blocks to plan the new active network architecture. Based on spatial load forecasting information, this paper proposes a graph partitioning technique to create load clusters in the distribution feeders. A weighted graph is constructed by means of a minimum spanning tree that allows to consider adjacency relations. The results of the simulation, carried out in a real distribution network, have demonstrated the effectiveness of the proposed method.

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