Smart home electric energy scheduling optimization method and device and storage medium
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A technology of smart home and optimization method, applied in the direction of circuit device, energy storage, communication network with energy trade/energy transmission authority, etc.
Pending Publication Date: 2020-06-02
QINGDAO HAIER SMART TECH R & D CO LTD
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[0004] An embodiment of the present invention provides a smart home electric energy scheduling optimization method to solve the problem of optimizing the power consumption strategy of the household electrical appliance load
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Embodiment 1
[0070] A smart home electric energy scheduling optimization method, comprising:
[0071] Using the optimization method of photovoltaic power dispatching to optimize the electricity consumption of smart home loads, and determine the load distribution after optimization;
[0072] Establish a multi-objective optimization model for electric energy dispatching with battery participation, with the objective function of maximizing the profit of battery electric energy dispatching and maximizing photovoltaic consumption rate;
[0073] The non-dominated sorting genetic algorithm based on the elite strategy is used to solve the multi-objective optimization model of the storage battery.
[0074] The working mode of the photovoltaic power generation system adopted by the user is the grid-connected mode. In this mode, the principle of power dispatching is "spontaneous self-use, and the surplus power is connected to the grid". , but due to the user's load arrangement and actual demand, the...
Embodiment 2
[0127] Photovoltaic power dispatch optimization methods include:
[0128] Establish a multi-objective optimization model for electric energy dispatching with the objective function of maximizing user electric energy revenue and photovoltaic consumption rate;
[0129] The non-dominated sorting genetic algorithm based on elite strategy is used to solve the multi-objective optimization model.
[0130] The basic research goal of photovoltaic power dispatch optimization is to maximize the power income of household users, and the power income of household users includes three parts: photovoltaic power generation compensation income, feed income, and load power consumption expenditure, which are expressed as follows:
[0131] f all = f PV,sub + f PV,s + f load
[0132] where f all is the electric energy income; f PV,sub Government subsidy income for photovoltaic power generation; f PV,s Income obtained for photovoltaic feeding; f load The cost of purchasing electricity from ...
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Abstract
The invention belongs to the field of electric energy management, and discloses a smart home electric energy scheduling optimization method. The method comprises the steps: optimizing smart home loadpower consumption by adopting a photovoltaic electric energy scheduling optimization method, and determining an optimized load distribution situation; establishing a storage battery participated electric energy scheduling multi-objective optimization model which takes storage battery electric energy scheduling income maximization and photovoltaic consumption rate maximization as objective functions; and solving the multi-objective optimization model in which the storage battery participates by using a non-dominated sorting genetic algorithm based on an elitist strategy. According to the invention, the technical scheme is adopted, and a result after optimization of the photovoltaic electric energy scheduling optimization strategy is used as an optimization object of the storage battery electric energy scheduling optimization strategy. The household load distribution is firstly determined, and then the charging and discharging actions of the storage battery are determined by adopting anoptimization method, which is different from a storage battery fixing strategy, so the energy storage characteristic of the storage battery can be fully utilized, the power utilization income of a user is increased and the photovoltaic absorption rate is increased according to different requirements of the user in a real-time electricity price environment.
Description
technical field [0001] The present invention relates to the technical field of electric energy management, in particular to a smart home electric energy scheduling optimization method, device and storage medium. Background technique [0002] The home energy management system is an effective way for home users to participate in demand response, and it is also a concrete embodiment of technologies such as smart power consumption and distributed power generation in home users. The home energy management system can assist users to respond to time-of-use electricity prices and real-time electricity prices, provide system optimization decision-making solutions, and coordinate and control the operation of equipment in the system. In order for the home energy management system to effectively manage the household electricity load and optimize its operation, it is necessary to optimize the electricity consumption strategy of the household appliance load. [0003] The storage battery ...
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