
handle: 10446/151904
In this paper, the Generation and Transmission Expansion Planning (G&TEP) problem, considering two case studies, is analyzed. In the first case, the GEP and TEP problems are considered separately, while in the second GEP and TEP problems are solved together, thus G&TEP problem appears. The objective function of the mixed-integer linear programming (MILP) problem is minimizing the expected generation costs, load-shedding costs and investment costs. The planner can modify the presented mathematical model in order to satisfy any other system requirements considering G&TEP problem. The approach presented in this paper is a deterministic static one. The investment decision is considered to be made at the beginning of the planning horizon.
Generation expansion planning; Optimization; Renewable energy sources; Transmission expansion planning; Energy Engineering and Power Technology; Fuel Technology; Electrical and Electronic Engineering; Control and Optimization; Renewable Energy; Sustainability and the Environment;
Generation expansion planning; Optimization; Renewable energy sources; Transmission expansion planning; Energy Engineering and Power Technology; Fuel Technology; Electrical and Electronic Engineering; Control and Optimization; Renewable Energy; Sustainability and the Environment;
| 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). | 7 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
