Development of Planning Method using Mathematical Programming for Optimization of Generation Deployment and Grid Reinforcement Matching the Energy Portfolio of the Decarbonized Society

Abstract

Considering the long-term goal of the “Paris Agreement”, drastically reducing the CO2 emission of the energy sector as a whole is essential. Existing study showed an example of the energy portfolio in 2050 achieving the greenhouse gas emission reduction target (80% reduction compared to FY2013) by the transition of primary energy consumption to electricity by increased electrification due to reduction of cost and high energy efficiency of electricity. The study also pointed out that further study is required since it did not consider the cost of network developments due to the geographical distance between areas with large demand and where suitable for renewable integration.

This paper explains the mathematical optimization model to derive the cost optimal deployment of renewables and the corresponding required development of the interconnection, and, by showing a preliminary calculation result, verified that it should be effective to use this model in the study to seek the future of the energy sector.