Islanded microgrid congestion control by load prioritization and shedding using ABC algorithm

Abstract

The continued growth in load demand and the gradual change of generation sources to smaller distributed plants utilizing renewable energy sources (RESs), which supply power intermittently, is likely to strain existing power systems and cause congestion. Congestion management still remains a challenging issue in open access transmission and distribution systems. Conventionally, this is achieved by load shedding and generator rescheduling. In this study, the control of the system congestion on an islanded micro grid (MG) supplied by RESs is analyzed using artificial bee colony (ABC) algorithm. Different buses are assigned priority indices which forms the basis of the determination of which loads and what amount of load to shed at any particular time during islanding mode operation. This is to ensure as minimal load as possible is shed during a contingency that leads to loss of mains and ensure a congestion free microgrid operation. This is tested and verified on a modified IEEE 30-bus distribution systems on MATLAB platform. The results are compared with other algorithms to prove the applicability of this approach.

Coordinated Control and Load Shifting-Based Demand Management of a Smart Microgrid Adopting Energy Internet

“…A control strategy for a RERs-based MG that can run in both of-grid and grid-connected modes was proposed in reference [27]. Te RER controllers detect islanding, at which point the MG enters voltage control mode (VCM).…”

Pelican Optimization Algorithm for Optimal Demand Response in Islanded Active Distribution Network Considering Controllable Loads

“…In [17], the UFLS scheme is solved under DG tripping by mixed integer linear programming (MILP) by categorising load buses as non-critical, semi-critical, and critical using the voltage stability index (VSI). In [18], artificial bee colony (ABC) based priority based load shed is solved in islanded MG with RES for sudden load increment and line contingencies. In [19], a multiple-deme parallel genetic algorithm (MDPGA) is introduced for load balance when there is a low voltage stability margin due to either line contingencies and/or generator failures.…”

“…The algorithm moves on to the next iteration, during which the stages of the proposed POA based on Eqs. (15)(16)(17)(18) are repeated until the end of execution. The best candidate solution from the algorithm's steps is almost the best way to solve the problem.…”