A multi-objective optimization strategy for combined heat and power systems of the energy internet

Energy Internet is a kind of novel interconnected multi-energy-grids, highly coupled with the information internet. Aiming at the problems of resource saving and environment protection, a multi-objective optimization strategy in primary energies of the Energy Internet considering economic and environmental aspects has been proposed. An optimization coordination model was presented for combined heat and power (CHP) system with complimentary generation of wind, photovoltaic cell (PV), gas and energy storage in different tariff structures. Typical load and the third order model of generator efficiency were selected in the proposed model to make the result more accurate. To avoid the premature convergence problem, the neighborhood re-dispatch particle swarm optimization (NR-PSO) algorithm was adopted, which re-dispatches in neighborhood of the iteration that could avoid falling into the local optimum. Finally, three operating modes are detailed and the result indicates it can reach an equilibrium point that can reduce the pollution gas without too much additional cost.