Low carbon economic scheduling of residential distribution network based on multi-dimensional network integration

Abstract

This paper focuses on the research of the residential distribution network and take the community as the research object. With the structure of energy supply and consumption of the residential distribution network gradually shows the characteristics of diversity, based on the integrated energy system of electricity, heat, and natural gas network, the power consumption of the mobile communication network, the orderly charging and discharging behavior of electric vehicles and carbon emission limit are also considered. Load aggregator is introduced as the energy manager to arrange the energy purchase and schedule strategy. Taking the minimization of energy cost of the residential distribution network as the optimization goal, a low-carbon economic scheduling model of the residential distribution network based on multi-dimensional network integration is established. Numerical examples are simulated based on the data of an actual community in Shanghai. Simulation results show that the model built in this paper can effectively reduce the energy cost and carbon emission of the community, and the daily load curve is significantly smoothed by shaving peak load and filling valley load, furthermore, it can improve the flexibility of energy consumption in the community, and reduce the operation pressure of the distribution transformer, promote the cost-effective, low-carbon, and reliable operation of the residential distribution network.