Total electricity system least cost investment optimization using PyPSA model

Ministry of Energy developed the Thailand Smart Grid Master Plan, aiming to utilized information technology and communication to manage, control power production and distribution to support renewable energy and distributed generation. Electricity Generating Authority of Thailand, Provincial Electricity Authority and Metropolitan Electricity Authority are responsible for electricity system investment to support an incrasing demand, security and resilience of the grid. Electricity tariff in Thailand base on base tariff, Ft and VAT which is adjusted in every 3-5 years. Especially in base tariff, it depends on power plant construction, transmisson and distribution (T&D)  investment and fuel cost, claw back and monthly service cost. Because of this, we meet the challange of electricity tariff which is reflected from power plant, T&D investment. Therefore, it is essential to study the total electricity system least cost investment optimization using PyPSA model.Though, EGAT studies the electricity planning based on least cost, CO2 constraint and security including power flow analysis. But it can not cover the whole energy system. The PyPSA can model the whole energy system, including generation, T&D and consumer as well as optimal power flow. In this study, we include 4 steps as follow: 1) data collection, 2) simplify the network using the IEEE test cases and input data to PyPSA , 3) Run the PyPSA model and finally 4) compare and analyze the results