Household energy multi-target optimization method based on GA-BFO

Abstract

The invention discloses a household energy multi-target optimization method based on GA-BFO. The method is characterized by according to a load characteristic of household electrical equipment and a user demand, classifying the household electrical equipment, and establishing a control model and an optimization constraint for schedulable equipment; establishing three optimized target functions ofminimum power cost, minimum PAR and maximum user comfort; establishing a target function expression of load transfer and solving the target function expression through using a GA-BFO algorithm to obtain next day arrangement of household schedulable equipment; and in a scheduling day, when a system receives a rescheduling request of a user, recording information of the equipment which needs to be rescheduled, establishing the target function expression, converting a real-time scheduling problem into a knapsack problem, and using a dynamic equation to solve, obtaining real-time scheduling arrangement of the equipment which needs to be rescheduled so as to complete multi-target optimization. The method is used to coordinate and manage the schedulable electrical equipment in a family and an electricity utilization mode of an electric vehicle, which can effectively reduce household electricity cost, decrease PAR and improve user comfort.

Description

technical field [0001] The invention belongs to the technical field of home energy management, and in particular relates to a GA-BFO-based multi-objective optimization method for home energy. Background technique [0002] With the advancement of science and technology and economic development in our country, the scale of electricity consumption continues to increase, and the peak-to-average ratio (PAR) of electricity consumption continues to increase. However, the traditional power grid has limited adjustment capabilities. Waste, poor grid stability. In addition, due to the energy crisis and environmental degradation, the power grid urgently needs renewable energy grid-connected power generation represented by wind and wind power generation. The problem of supply and demand balance after being connected to the grid makes it difficult to connect renewable energy to the grid. [0003] In order to overcome the challenges faced by the traditional power grid, the concept of sma...

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Problems solved by technology

[0004] Traditional demand-side management is mainly carried out for large-scale power users such as industries and commerce. However, at present, the electricity consumption of residential users accounts for about one-third of the total electricity consumption of the society, and the energy-saving potential is relatively large.

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