Optimal planning for power distribution network with distributed generation in Zanzibar Island

Abstract

As a renewable energy, wind power generation has become an important development direction for power industries due to its non-pollutant and inexhaustible resource. Reliability improvement, operational cost reduction and power loss decreasing are some of the main benefits of distribution generator (DG) allocation in distribution systems. In this paper, an optimal planning model is presented for the distribution network at Zanzibar Island. The investigation of electric power demand and planning of micro-grid in Mpendae feeder has been conducted. The particle swarm algorithm was used for optimal allocation and sizing of wind distributed generator unit, so as to minimize real power loss and to improve system voltage profile. Simulation results show the effectiveness of the planning model.

Power quality and modern energy for all

“…Our findings suggest that inadequate power quality on the supply side limits consumption by damaging appliances or discouraging consumers from buying others that they may wish to use. In turn, low consumption contributes to low cost recovery, potentially constraining the utility’s capacity to invest in infrastructure, such as line voltage regulators or distributed energy sources sited close to the customers (29) that could deliver better power quality. This negative feedback between utility revenue and consumer demand highlights the consequences of the financial pressure that utilities and consumers face as grid systems spread (30).…”

Operación Óptima del Sistema Eléctrico Aislado de la Isla San Cristóbal, con Generación Renovable y Vehículos Eléctricos

“…En [4] se propone la optimización de la operación de microredes y el uso de recursos mediante la implementación de VE. En dicho trabajo, tres opciones para la carga de las baterías de los VE son analizadas: Carga AC, Carga DC y estaciones de reemplazo de baterías y en donde los autores consideran a la estación de recambio como la mejor opción para atender los requerimientos energéticos de la transportación, con las menores pérdidas de tiempo para los usuarios y como un medio para aprovechar la energía disponible en las baterías mientras se encuentran en la estación como reserva de energía para gestionar la demanda de electricidad en el sistema eléctrico.…”

A Review of Considered Factors to Penetrate Renewable Energy Resources in Electrical Power System

“…It is because of the quality of solution both are in optimal site with corresponding size and time to convergence (Jamian, Aman, et al, 2012) . PSO and GA are the heuristic method often used to optimize size and site of DGs (Gomez et al, 2010) (Sookananta et al, 2010) (Prabha et al, 2012) (Sedighi et al, 2010) (Ismail et al, 2011) (Nabavi et al, 2011) (Gonzalez et al, 2012) (Haghdar and Shayanfar, 2010).…”