A mathematical formulation for low carbon electricity planning in the presence of technology and policy interventions

摘要

To address climate change and resource related constraints, there is a need for integrating Renewable Energy (RE) along with conventional non-renewable sources to achieve a low carbon electricity system. But in many instances, there is insufficient renewable energy capacity installed in the system. For optimally matching the supply-demand in an electricity utility with numerous supply-side management (SSM) alternatives of electricity generation, we explore various RE technology interventions along with RPO (Renewable Purchase Obligation) and REC (Renewable Energy Certificate) policy interventions. For solving this problem, a Linear Programming (LP) model to obtain an optimal mix of supply, and minimum cost and emission is developed. A LINGO set code is developed to generate the LP model for any given data. The proposed model is validated using the data obtained from Karnataka Electricity System.