کلیدواژهها
|
Butterfly optimization algorithm (BOA), Distributed power condition controller (DPCC), Grasshopper
optimization algorithm (GOA), Multi-microgrid, Power loss, Renewable energy sources, Voltage regulation
|
چکیده
|
In the present research, optimal placement and parameter tuning of an improved custom power device called
Distributed power condition controller (DPCC) for enhancing the voltage profile and reducing losses in an isolated multimicrogrid
(MMG) under critical situations have been investigated. The relative capacity credit of the intermittent renewable
sources is typically 25–50 percent. When a critical situation such as generation reduction, DG outage in each MG, overload or
line contingency occurs in the MMG, the voltages at some buses fluctuate more than the allowed level and power losses arise
which is harmful to vital applications. In this paper, the butterfly optimization algorithm and grasshopper optimization
algorithm are suggested to search the optimal placement and parameter tuning of DPCC for enhancing the voltage profile and
reducing losses under critical situations. A modified IEEE 33-bus network with four distributed generation is employed to
create a sample isolated MMG. Eleven different case studies in seven scenarios are considered to evaluate the high capability
of DPCC in regulating voltage and reduce losses. It is found from theory studies and simulation results that optimal placement
and parameter tuning of DPCC successfully improve the MMG performance.
|