Multi-target layered optimization scheduling method for new energy microgrid containing electric vehicles

Abstract

The invention relates to a multi-target hierarchical optimization scheduling method for a new energy micro-grid containing an electric vehicle. The method comprises the following steps: reading parameters of the EV and a power grid electricity price; solving the optimal charging and discharging power of the EV through CPLEX software, and transmitting the optimal charging and discharging power to the NEMG layer; nEMG system parameters are read, particle swarm parameters are set, and a particle swarm is initialized; the NEMG superposes the optimal charging and discharging power of the EV with the basic daily load, the PV and the WT output to obtain the net load of the NEMG; optimizing conditions are judged, new particle positions are updated, function values corresponding to the particles are calculated and updated, and a Pareto optimal solution is obtained; and judging whether a convergence condition is met or not, and if yes, selecting a corresponding final compromise solution. Compared with non-layering and layering, the multi-target layering optimization scheduling method for the new energy microgrid containing the electric vehicle can better consider the interests of all parties of different interest subjects, realizes a win-win situation in the aspects of operation cost, environmental benefits and the like, can more reasonably schedule resources in the system, and realizes maximization of social benefits of the system.

Description

technical field [0001] The invention relates to the technical field of microgrid row optimization, in particular to a multi-objective hierarchical optimization scheduling method for a new energy microgrid including electric vehicles. Background technique [0002] The unified management of electric vehicle (EV) power batteries can effectively alleviate the negative impact of large-scale EV access to the grid, especially the connection to the new energy microgrid (NEMG), which can not only consume renewable energy on site, realize Low-carbon in the true sense can also achieve multiple benefits such as shaving peaks and filling valleys and providing auxiliary services through V2G technology. Microgrids operate flexibly and integrate multiple resources together. EV access to NEMG is one of the main development trends in the future. [0003] At present, there has been a lot of research on the scheduling problem after EV access to NEMG, but the scheduling model established in re...

AI Technical Summary

Problems solved by technology

[0004] In view of the economic operation after the electric vehicle EV is connected to the new energy micro-grid NEMG, the optimal social welfare of the system cannot be achieved, and the fair and reasonable distribution of profits cannot be guaranteed

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