Analysis of Reliability Indices in Next Generation Microgrids Under Uncertainties of Load and Renewable Power Production | ||
| AUT Journal of Electrical Engineering | ||
| مقاله 5، دوره 48، شماره 1، 2016، صفحه 41-51 اصل مقاله (645.97 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/eej.2016.630 | ||
| نویسندگان | ||
| nima nikmehr1؛ Sajad Najafi Ravadanegh* 2 | ||
| 1Msc. Student, Smart Distribution grid Research Lab, Azarbaijan Shahid Madani University, Tabriz, Iran. | ||
| 2Associate Professor, Smart Distribution grid Research Lab, Azarbaijan Shahid Madani University, Tabriz, Iran | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Optimal Operation؛ Multi-Microgrids؛ Reliability Evaluation؛ Uncertainty | ||
| مراجع | ||
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