Optimization of unit commitment considering carbon gas emission reduction utilizing firefly algorithm

The necessity for electrical energy has been currently significant to support economic growth in Indonesia, expected to annually increase every year. The increasing demand for electricity denotes that the electrical energy supplied by the generator is relatively large. In general, electricity generation in Indonesia utilizes fossil fuels in the generation process thus it creates emissions in the form of carbon dioxide (CO2), which are released into the air in large quantities. Therefore, planning is deemed instrumental, thereby encouraging that generation scheduling at an economical cost is required in the generation of each unit in order to adjust the load that changes every time. This final project discusses the problem of unit commitment (UC) with the addition of a carbon capture and storage (CCS) system in the generator. The Carbon Capture and Storage (CCS) process refers to a technology capturing up to 85% of carbon dioxide (CO2) emission as, the result of utilizing fossil fuels in electricity generation and industrial processes to prevent carbon dioxide from entering the atmosphere. The optimization algorithm utilized in this final project is the Firefly Algorithm (FA). The objective function that will be optimized lies in the cost of generation, scheduling on and off for each generator and carbon dioxide (CO2) emissions. The data used in this optimization includes the IEEE of 30 bus system and the addition of Carbon Capture and Storage Plants. The test results indicate that the FA method is able to perform UC calculations considering Carbon Capture and Storage.