Photovoltaic Generation Integration with Radial Feeders Using GA and GIS

Thermodynamic and economic comparison of photovoltaic electricity generation with and without self-cleaning photovoltaic panels

In this study, thermodynamic and economic analysis of a photovoltaic electricity generation system (PVEGS) with and without self-cleaning panels is reported. In the first part, thermodynamic analyses are used to characterize the performance of the system. In the second part, the economic comparison of photovoltaic electricity generation with and without self-cleaning panels is carried out for a...

Managing Photovoltaic Generation Effect On Voltage Profile Using Distributed Algorithm

In this paper, a distributed method for reactive power management in a distribution system has been presented. The proposed method focuses on the voltage rise where the distribution systems are equipped with a considerable number of photovoltaic units. This paper proposes the alternating direction method of multipliers (ADMMs) approach for solving the optimal voltage control problem in a distri...

Integration with GIS

Performance Improvement of Radial Distribution Network with Distributed Generation Integration Using Extended Particle Swarm Optimization Algorithm

This paper proposes the performance improvement of radial distribution network with distributed generation (DG) integration using extended particle swarm optimization (PSO) algorithm. High-performance distribution network is a network that has a low power loss, better voltage profile, and loading balance among feeders. The effort to improve the performance of the distribution network is network...

Maximum Photovoltaic Penetration Levels on Typical Distribution Feeders: Preprint

This paper presents simulation results for a taxonomy of typical distribution feeders with various levels of photovoltaic (PV) penetration. For each of the 16 feeders simulated, the maximum PV penetration that did not result in steady-state voltage or current violation is presented for several PV location scenarios: clustered near the feeder source, clustered near the midpoint of the feeder, cl...