Intelligent microgrid building load power dispatching method improving gravitational search

Abstract

The invention discloses an intelligent microgrid building load power dispatching method improving gravitational search. First, all power using loads in an intelligent microgrid building are classified, an objective function and constraint conditions of building load dispatching are clarified, and a load power dispatching model is built. Then a gravitational search algorithm is subjected to binary discretization and a parasite population and a host population are established. At the same time, the memory and population information sharing capabilities of particles in a particle swarm algorithm are introduced, and parasitic behaviors of organisms are simulated. Through co-evolution of the two populations, the convergence speed and search precision of the algorithm are improved, the diversity of the populations and the global search ability are improved, and the shortcomings of the original gravitational search algorithm such as premature convergence and low optimization accuracy are overcome. The method considers the objectives including resident economy, comfort and stability of a power grid and adopts the improved gravitational search algorithm for multi-objective optimization, so that the least electricity cost, the most comfort and the least impact on the power grid are achieved for residents.

Description

technical field [0001] The invention relates to the field of automatic demand response for smart grid power consumption, in particular to an intelligent micro-grid building load power scheduling method with improved gravitational search. Background technique [0002] Since the 21st century, with the rapid development of the global economy and society, the electricity consumption of urban and rural residents has increased day by day. According to statistics, in 2013, my country's residential electricity consumption accounted for 13.2% of the total electricity consumption of the whole society, and contributed 17.1% to the growth of electricity consumption in the whole society. This has also attracted the attention of governments, enterprises and power companies in various countries. At the same time, people's expectations for smart buildings represented by the automation and intelligence of residents' equipment are getting higher and higher. Smart grid is a new type of electri...

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Problems solved by technology

[0005] Aiming at the problem that the integrated management of building power consumption has not been paid much attention at the present stage, resulting in the large power consumption of residents and the large impact on the fluctuation of the power grid during the peak period of power consumption, the invention discloses an improved gravitational search. On the premise of considering the comfort of users, the network building load electricity scheduling method can reduce electricity costs and stabilize power consumption

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