| Abstract: |
| Purpose: The increase in plug-in electric vehicles (PEVs) is likely to see a noteworthy impact on the distribution
system due to high electric power consumption during charging and uncertainty in charging behavior. To address
this problem, the present work mainly focuses on optimal integration of distributed generators (DG) into radial
distribution systems in the presence of PEV loads with their charging behavior under daily load pattern including
load models by considering the daily (24 h) power loss and voltage improvement of the system as objectives for
better system performance.
Design/methodology/approach: To achieve the desired outcomes, an efficient weighted factor multi-objective
function is modeled. Particle Swarm Optimization (PSO) and Butterfly Optimization (BO) algorithms are selected
and implemented to minimize the objectives of the system. A repetitive backward-forward sweep-based load flow
has been introduced to calculate the daily power loss and bus voltages of the radial distribution system. The
simulations are carried out using MATLAB software.
Findings: The simulation outcomes reveal that the proposed approach definitely improved the system performance in
all aspects. Among PSO and BO, BO is comparatively successful in achieving the desired objectives.
Originality/value: The main contribution of this paper is the formulation of the multi-objective function that can
address daily active power loss and voltage deviation under 24-h load pattern including grouping of residential,
industrial and commercial loads. Introduction of repetitive backward-forward sweep-based load flow and the modeling
of PEV load with two different charging scenarios. |
| Key words: Plug-in electric vehicles (PEVs), Distributed generators (DGs), Repetitive distribution power flow, Particleswarm optimization algorithm (PSO), Butterfly optimization (BO), Daily active power loss |
| DOI：10.1186/s41601-019-0149-x |
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| Fund: |
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