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

A multi-objective optimization and family technology, applied in the direction of instruments, adaptive control, control/regulation systems, etc., can solve problems such as large energy saving potential

Active Publication Date: 2019-10-25
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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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 co

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

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Embodiment Construction

[0091] The present invention provides a GA-BFO-based home energy multi-objective optimization method, which is applicable to the home energy management system (HEMS) in the smart grid environment, and provides users with the best power consumption plan for home electric equipment and electric vehicles . The method includes two parts: day-ahead optimal scheduling strategy and real-time optimal scheduling strategy. Among them, the day-ahead optimization scheduling strategy takes the minimum electricity cost and the reduction of PAR as the optimization goal, and adopts the method of load transfer: firstly, a reasonable target load curve is established to solve the trade-off problem between the minimum power cost and PAR. The deviation between target load curves achieves minimum electricity cost and PAR. And use GA-BFO to solve. The real-time optimization scheduling strategy aims to improve user comfort while taking into account the power cost and PAR as the optimization goal. T...

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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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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 赵安军叶子雁于军琪
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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