
An optimization model is proposed to give an economical evaluation on different network expansion plans when installing distributed generations (DGs) together with building new lines. The expenditure of construction and maintaining of new DGs as well as new lines, the annual power loss costs are both integrated into the objective function which is to minimize the annual cost of network expansion during planning period. The genetic algorithm (GA) is employed to solve the aforementioned optimization problem. Finally, case studies are carried out on the 3-feeder-16-bus system and a single-feeder-33-bus system as benchmark to demonstrate the validity of the proposed model and method.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
