JOURNAL ARTICLE

Maximization of Distribution Network Hosting Capacity through Optimal Grid Reconfiguration and Distributed Generation Capacity Allocation/Control

Rade ČađenovićDamir Jakus

Year: 2020 Journal:   Energies Vol: 13 (20)Pages: 5315-5315   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

High penetration of small-scale distributed energy sources into the distribution network increase negative impacts related to power quality causing adverse conditions. This paper presents a mathematical model that maximizes distribution network hosting capacity through optimal distributed generation capacity allocation and control and grid reconfiguration. In addition to this, the model includes on-load tap changer control for stabilization of grid voltage conditions primarily in grid operating conditions related to voltage rise problems, which can limit grid hosting capacity. Moreover, the objective function allows the possibility of energy transfer between distribution and transmission grids. The proposed model considers alternative grid connection points for distributed generation and determines optimal connection points as well as install capacity while considering network operating limits. The model is cast as a multiperiod second-order cone linear program and involves aspects of active power management. The model is tested on a modified IEEE 33 bus test network.

Keywords:
Distributed generation Grid Control reconfiguration Maximization Computer science Grid connection Tap changer Mathematical optimization Voltage Distributed computing Engineering Electrical engineering Renewable energy Mathematics

Metrics

24
Cited By
1.18
FWCI (Field Weighted Citation Impact)
27
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Optimal Power Flow Distribution
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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