Modeling on carbon emission flow in micro energy grid optimal dispatching considering source-load coordination

Current research on low-carbon optimal dispatch of multi-energy system predominantly emphasizes source-side carbon reduction strategy, while neglects load-side carbon emission responsibility, thus constraining coordinated decarbonization potential between both sides. A multi-energy micro grid combined through power network and heat network is investigated, which driven by wind power, photovoltaics and a natural gas-based energy station (including combined heat and power, heat pump, electric boiler and gas boiler). For the source side, dynamic carbon emission characteristics and ladder-type carbon trade mechanism specific to energy station are considered; The coupled power, heat and carbon emissions flow is modeled at the grid side, then the derived nodal carbon intensity distribution will be transferred to the load side; The load side simultaneously adjusts the energy consumption behaviors based on this carbon information, responding to low-carbon demand under the time-sharing energy price influence, then feeds the updated load data back to the source side for re-optimizing units' dispatch scheme. A day-ahead and intra-day two-stage optimal dispatch model is established within the mentioned source-load coordination framework, with the effectiveness of proposed method is validated through case studies.