Optimizing the Allocation of Renewable Energy Generation and Energy Consumption of Power Plants in the Philippines using Linear Programming

The Philippines has consumed over 108,000 and 101,000 GWh of energy in the years 2019 and 2020, respectively. These consumed energy is generated by different providers such as the Manila electric, Visayan electric, and Negros Occidental electric cooperative which mainly provides for the residential, commercial, and industrial sectors. Moreover, the country utilizes four main energy generation types namely, coal, oil-based, natural gas, and renewable energy. As reported in the Department of Energy’s 2020 Power Statistics Report, figures show that the recent COVID-19 pandemic resulted in an increase in generated energy for the household sector. Inversely, the generated energy for commercial and industrial sectors dropped. This is due to the lockdown urging people to have a work or study from home set-up rather than face to face. With this shift in energy distribution may come cases of incorrectly measured power consumption that increases electricity bills of each sector and the companies involved. Therefore, this study aims to apply linear programming to optimize the allocation of energy generation and consumption of power plants in the country. The results of the program will then be compared to the results from and several mathematical models, such as the Gauss-Jordan, M-Method, and Two-Phase Methods to verify its results.