| Abstrak/Abstract |
This study presents a mixed-integer linear programming model to solve generation and
transmission planning problems. Distributed energy resources are considered in the developed model.
The intermittent property of distributed energy resources is applied by the k-means clustering method.
The multiobjective approach is used by the epsilon constraint method. Finally, the fuzzy decisionmaking
process is implemented to determine the best solution within the generated Pareto sets. The
model is implemented into IEEE 24 bus test system. The results show that for each Pareto point, an
increase in the DG penetration level reduces the overall planning cost by 6.08% compared to the
planning cost without DG penetration based on the same weighting factor of the objective functions.
The results also show that the investment cost of the generator unit and transmission line can be
reduced by 20.10% and 22.27%, respectively. Furthermore, handling intermittency using the clustering
method of renewable energy resources results in different choices of DG technology compared to the
results obtained in our previous publication.. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights
reserved. |
