Efficient and Improved ANN-Based Voltage-Rise Mitigation Strategy in Distribution Network with Distributed Solar Photovoltaic System

2020 ◽  
pp. 289-297
Author(s):  
Neenu Thomas ◽  
R. Jayabarathi ◽  
T. N. P. Nambiar
Keyword(s):  
Distribution Network ◽  
Mitigation Strategy ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Voltage Rise ◽  
Solar Photovoltaic System

scholarly journals Optimal Design of Grid-Connected Solar Photovoltaic System Using Selective Particle Swarm Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Habtemariam Aberie Kefale ◽  
Elias Mandefro Getie ◽  
Kassaye Gizaw Eshetie
Keyword(s):  
Particle Swarm Optimization ◽  
Radial Distribution ◽  
Solar Power ◽  
Distribution Network ◽  
Particle Swarm ◽  
Network Capacity ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Swarm Optimization ◽  
Solar Photovoltaic System

The electricity distribution network in Ethiopia has the radial nature of network configuration. The interruption of power is due to overloading and failure of distribution lines due to external forces, like trees, animals, and wind. The failure of the radial distribution network brings blackout in the whole power system network as there is no alternative electricity supply. The renewable energy potential of Bahir Dar, Ethiopia, especially solar power is abundant and needs a mechanism to give a response for electricity demand in the country and city other than expecting from the national grid. The solar photovoltaic system interconnection in radial feeders may bring a solution for power interruption and network performance. The sizing and siting of the solar photovoltaic system in the Ethiopian radial distribution system required an optimization tool to obtain better distribution network parameter. The power loss minimization and voltage profile enhancement of the radial distribution network are the key objectives of this research. Selective particle swarm optimization (SPSO) is used to fix the size and site of installation for network capacity enhancement. A multiobjective optimization problem is formulated so as to meet different constraints to be optimized by the SPSO. Finally, the SPSO enables determining proper size and site of solar power installation and bringing better performance in the radial distribution network of Ethiopia.

scholarly journals A new meta-heuristic pathfinder algorithm for solving optimal allocation of solar photovoltaic system in multi-lateral distribution system for improving resilience

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Varaprasad Janamala
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Optimal Allocation ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Voltage Profile ◽  
Pv System ◽  
Solar Photovoltaic System ◽  
The Impact

AbstractA new meta-heuristic Pathfinder Algorithm (PFA) is adopted in this paper for optimal allocation and simultaneous integration of a solar photovoltaic system among multi-laterals, called interline-photovoltaic (I-PV) system. At first, the performance of PFA is evaluated by solving the optimal allocation of distribution generation problem in IEEE 33- and 69-bus systems for loss minimization. The obtained results show that the performance of proposed PFA is superior to PSO, TLBO, CSA, and GOA and other approaches cited in literature. The comparison of different performance measures of 50 independent trail runs predominantly shows the effectiveness of PFA and its efficiency for global optima. Subsequently, PFA is implemented for determining the optimal I-PV configuration considering the resilience without compromising the various operational and radiality constraints. Different case studies are simulated and the impact of the I-PV system is analyzed in terms of voltage profile and voltage stability. The proposed optimal I-PV configuration resulted in loss reduction of 77.87% and 98.33% in IEEE 33- and 69-bus systems, respectively. Further, the reduced average voltage deviation index and increased voltage stability index result in an improved voltage profile and enhanced voltage stability margin in radial distribution systems and its suitability for practical applications.

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