Abstract
The need for the right electricity planning is closely related to the analysis that has to be done on its generating capacity. Of course, in order to make such planning, the choice of the method by which the process is carried out must be considered. The inclusion of multiple objectives (goals) enables us to create models that are useful in researching and expanding electricity generation systems. Compromised programming used in this paper aims to find compromise solutions among different conflicting objectives in the electricity generation system. One such case is the goal of minimizing the cost and CO2 emissions. Using this logic, the paper deals with an example of electricity generation planning for a given region.
Highlights
This paper assumes annual electricity which can be generated by the use of available energy sources including: coal, wind energy, biomass, hydropower, and solar energy
With the application of compromise programming, taking into account the minimization of energy generation cost and CO2 emissions, the optimal solution is achieved by calculating groups of compromise for different weights
When planning needs to be based on results and a lot of goals, the right methods are needed, in order for optimal solutions to be acheived
Summary
This paper assumes annual electricity which can be generated by the use of available energy sources including: coal, wind energy, biomass, hydropower, and solar energy. The conceptual approach applied in the paper where we are limited to only two purposes, namely the cost of generation and emissions, requires an additional discussion because other methods with the inclusion of more factors are currently available. Annual electricity consumption is 5000 GWh [10], which can be generated by the use of the following energy sources: coal, wind power, biomass, Hydropower, and solar power. To refer to electricity output, both options are set in relation to the kWh generated Under these assumptions, the formulation of the problem is: TECHNICAL JOURNAL 15, 1(2021), 150-155.
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