Title :
Impact of Strategic Deployment of CHP-Based DERs on Microgrid Reliability
Author :
Basu, Ashoke Kumar ; Chowdhury, Sunetra ; Chowdhury, S.P.
Author_Institution :
Electr. Eng. Dept., C.I.E.M., Kolkata, India
fDate :
7/1/2010 12:00:00 AM
Abstract :
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 studies-two 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.
Keywords :
cogeneration; diesel-electric generators; distributed power generation; particle swarm optimisation; power distribution reliability; power generation reliability; power supply quality; turbines; CHP-based DER; IEEE system; benefit-to-cost ratio; combined-heat-and-power; combustion turbines; diesel generators; distributed energy resources; district-heating paradigm; investment planning; microgrid reliability; microturbines; particle swarm optimization technique; sensitivity index; strategic deployment; Benefit-to-cost ratio; energy resources; energy storages; particle swarm optimization (PSO); reliability;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2010.2047121