Electrical Engineering Department, C.I.E.M., Tollygunge, Kolkata 700040, India; Electrical Engineering Department, University of Cape Town, Cape Town 7701, South Africa
Basu, A.K., Electrical Engineering Department, C.I.E.M., Tollygunge, Kolkata 700040, India; Chowdhury, S., Electrical Engineering Department, University of Cape Town, Cape Town 7701, South Africa; Chowdhury, S.P., Electrical Engineering Department, University of Cape Town, Cape Town 7701, South Africa
Optimal deployment, with respect to locations, capacity sizes, and types of distributed energy resources (DERs), which are the main components in a microgrid system, are chosen for study in this paper. For the selection of optimal locations of DERs, the loss sensitivity index of each bus is taken into account. Whereas optimal size and its separation among microturbines, diesel generators and combustion turbines at each bus location are performed on the basis of the maximum benefit-to-cost ratio of the microgrid owner, obtained by using the particle swarm optimization technique and with respect to their reliable catering and quality of power as well as heat (i.e., combined-heat-and-power (CHP) operation) for customers. This paper conducts four separate case studiestwo on 6-bus systems (radial and meshed) and resting on 14-bus systems (the IEEE system and radial system)to show how much these systems are economically feasible for investment planning when cost and CHP benefits of various types of DERs are taken into account. Load profiles, tariffs, as well as the constructional cost of the microgrid itself are addressed in the six-bus meshed network and its central DER location in a district-heating paradigm is also done separately. © 2010 IEEE.
Benefit to cost ratios; Benefit-to-cost ratio; Bus systems; Combustion turbine; Diesel generators; Distributed Energy Resources; Investment planning; Load profiles; Loss sensitivity index; Main component; Meshed networks; Micro grid; Micro turbine; Optimal deployment; Optimal locations; Optimal size; Particle swarm optimization technique; Radial systems; Strategic deployment; Buses; Costs; Energy resources; Energy storage; Flywheels; Investments; Location; Reliability; Size separation; Turbines; Particle swarm optimization (PSO)
