Locational Marginal Carbon Emission of Power Grids Approach: Optimal Scheduling of Recycling Electricity/Heat Rural Supply System Based on Waste Feedstock

• Published in: IEEE transactions on network science and engineering 2024-11, Vol.11 (6), p.5549-5563
• Main Authors: Yang, Hongming, Xu, Dingzhong, Xiang, Sheng, Yin, Bangzhe, Lai, MingYong, Ackom, Emmanuel, Johnston, Archie James
• Format: Article
• Language: English
• Subjects: 100% absorption of distributed renewable energy; Absorption; Biomass; Biomass energy; Biomass energy production; Boilers; Carbon; Carbon dioxide; Costs; Electric power distribution; Electric power systems; Electricity; Emissions; Fuels; Generators; locational marginal carbon emission; optimal scheduling; Raw materials; Recovery; Recycling; Recycling electricity/heat supply system; Renewable energy; Renewable resources; Resistance heating; Rural areas; Scheduling; waste resource recovery; Waste utilization
• ISSN: 2327-4697; 2334-329X
• DOI: 10.1109/TNSE.2023.3322495

To improve the power supply ability, heat supply ability, and waste recovery rate, a recycling electricity/heat rural supply system with waste feedstock is established. The energy supply system generates electricity/heat from biomass energy produced by wastes, which is also coupled to distributed renewable energy. The optimal scheduling of the established rural system will improve energy efficiency and cause emission reduction. Firstly, the waste recovery process is presented, and the architecture of the energy supply system is designed for the 100% absorption of renewable energy in rural areas. A carbon accounting model based on the locational marginal carbon emission factor is introduced, which considers the power exchange with the bulk power system and the carbon emission of biomass. Secondly, the optimal scheduling model for the recycling energy supply system is proposed to minimize both the total cost of energy supply and carbon emission, based on the constraints of energy balancing of electricity and heat, net carbon emissions, waste supply, etc. Finally, the IEEE 15-node system and PG&E 69-node system are employed for verification purposes. The proposed model contributes to 100% absorption of renewable energy and the efficient utilization of waste through the optimal cooperation of the waste supply, biomass power generation, and biomass heat, thereby supporting the achievement of zero carbon.