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A multi-objective optimization method for household energy based on ga-bfo

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

Active Publication Date: 2022-04-19
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 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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  • A multi-objective optimization method for household energy based on ga-bfo
  • A multi-objective optimization method for household energy based on ga-bfo
  • A multi-objective optimization method for household energy 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 multi-objective optimization method for household energy based on GA‑BFO, which classifies household electrical equipment according to its load characteristics and user requirements, establishes control models and optimization constraints for schedulable equipment; Three optimization objective functions of minimum cost, minimum PAR, and maximum user comfort; establish the objective function formula of load transfer and use the GA-BFO algorithm to solve the objective function to obtain the next-day arrangement of household schedulable equipment; during the dispatch day, when the system receives When the user's rescheduling request is received, record the information of the equipment that needs to be rescheduled, establish the objective function formula, and convert the real-time scheduling problem into a knapsack problem, use the dynamic equation to solve it, and obtain the real-time scheduling arrangement of the equipment that needs to be rescheduled. Multi-objective optimization. It is used to coordinate and manage the schedulable electrical equipment in the home and the electricity consumption mode of electric vehicles, which can effectively reduce the cost of household electricity consumption, reduce 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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Patent Type & Authority Patents(China)
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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