{'fraction_non_alphanumeric': 0.019815059445178335, 'fraction_numerical': 0.001321003963011889, 'mean_word_length': 5.828828828828829, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Co-Optimization of Generation Capacity Planning and Carbon Capture and Storage Using Benders Decomposition

Increasing climate concerns are forcing governments to establish tighter decarbonization policies. In the electric sector, fossil fuel-fired power generators are a major CO2 producer. Retrofitting these polluting units with carbon capture and storage (CCS) facilities is a promising solution for decarbonizing power systems with low renewable generation potential. This paper proposes a decomposed multi-stage linear model for the consideration of CCS in power system generation expansion planning (GEP). Numerical results have been developed in the General Algebraic Modeling System (GAMS) environment to test the performance of the proposed model.