TY - JOUR
ID - 630
TI - Analysis of Reliability Indices in Next Generation Microgrids Under Uncertainties of Load and Renewable Power Production
JO - AUT Journal of Electrical Engineering
JA - EEJ
LA - en
SN - 2588-2910
AU - nikmehr, nima
AU - Najafi Ravadanegh, Sajad
AD - Msc. Student, Smart Distribution grid Research Lab, Azarbaijan Shahid Madani University, Tabriz, Iran.
AD - Associate Professor, Smart Distribution grid Research Lab, Azarbaijan Shahid Madani University, Tabriz, Iran
Y1 - 2016
PY - 2016
VL - 48
IS - 1
SP - 41
EP - 51
KW - Optimal Operation
KW - Multi-Microgrids
KW - Reliability Evaluation
KW - Uncertainty
DO - 10.22060/eej.2016.630
N2 - In this paper, Multi-Microgrids (MMG) are considered as future smart distribution grids, in which small scale energy resources (SSER) are main power generation units with small scales. Optimal operation of microgrids in defined intervals is carried out to achieve economic conditions in distribution systems. The defined operating problem is optimized using a heuristic algorithm considering uncertainties in loads and renewable energy resources (RERs). The probability density functions (PDFs) are used to encounter with the uncertainties. The total cost of the network is minimized by the algorithm. Then, each MG is evaluated from reliability point of view. Some new introduced reliability indices in the literature for MGs are used to evaluate the MGs' reliability. In proposed structure, the MGs are in interconnected mode and there is power exchanging between MGs. The particle swarm optimization (PSO) algorithm is applied to optimal power dispatch and the obtained results are compared by Monte Carlo simulation (MCS) method.
UR - https://eej.aut.ac.ir/article_630.html
L1 - https://eej.aut.ac.ir/article_630_5d3733443e93d6fae2e7aedb0f0d2811.pdf
ER -