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A joint optimization method for intelligent load with constant temperature control

A joint optimization and constant temperature control technology, applied in the direction of temperature control using electric mode, auxiliary controller with auxiliary heating device, etc., can solve the problems of ignoring the load of constant temperature control and establishing correlation, and considering factors that cannot be taken into account at the same time. Achieve the effect of realizing overall optimization, realizing user benefits, and optimizing comprehensive benefits

Inactive Publication Date: 2017-03-15
STATE GRID SHANXI ELECTRIC POWER +2
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Problems solved by technology

[0005] The existing technology proposes an optimal control method considering two factors of time-of-use electricity price and user demand for various types of constant temperature control intelligent loads, but on the one hand, it leads to the possible problem that the two considerations cannot be taken into account at the same time, and on the other hand, it ignores the The characteristics of establishing correlation between constant temperature control loads can be established through user (temperature) requirements

Method used

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  • A joint optimization method for intelligent load with constant temperature control
  • A joint optimization method for intelligent load with constant temperature control
  • A joint optimization method for intelligent load with constant temperature control

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Embodiment Construction

[0042] The control objects of the optimization method of the present invention are constant temperature control intelligent loads, including electric water heaters, air conditioners, ventilation equipment and the like. It mainly describes the implementation mode of joint optimization control for the two constant temperature control smart loads of electric water heater and air conditioner commonly used in the home, and can be extended to the situation of multiple smart loads.

[0043] see Figure 1 to Figure 4 As shown, the joint optimization method of a constant temperature control intelligent load of the present invention comprises the following steps:

[0044] 1) Collect electric water heater user (temperature) demand range (45-100°C), user air conditioner (temperature) demand value (20°C). Time-of-use electricity price data, water quality m n situation data.

[0045] 2) Determine the working hours of the electric water heater:

[0046] Determine the start-up electricity...

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Abstract

The invention discloses a joint optimization method for constant temperature control intelligent load, which comprises the following steps: 1), collecting the required temperature range of the user's electric water heater, the required temperature of the user's air conditioner, time-of-use electricity price data, and the water quality of the user's electric water heater; Water heater working hours; 3) Establish an association model for the demand temperature of electric water heaters and air conditioners; use the association model to obtain the optimal control strategy with the lowest total cost of electricity for electric water heaters and air conditioners. The present invention aims to comprehensively consider the correlation between user (temperature) requirements among different types of constant temperature control intelligent loads, so as to realize the overall optimization of users including power consumption costs and (temperature) requirements.

Description

【Technical field】 [0001] The invention belongs to the technical field of power system supply-demand interaction and demand response, and in particular relates to a constant temperature control intelligent load joint optimization method. 【Background technique】 [0002] In the traditional power system, because a large number of loads are uncontrollable or even unmeasured in a certain time domain, only the resources on the power generation side are available for planning and dispatching. In addition, a single electricity sales price does not provide electricity consumers with an incentive to change their electricity consumption patterns. [0003] With the advancement of power market reform, the maturity of smart grid related technologies and the continuous development of renewable energy, the safe operation of the power system is facing new opportunities and challenges. Power system supply-demand interaction and demand response will become a good solution to meet challenges an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D23/30
Inventor 王锡凡肖云鹏王秀丽杜超邵成成徐骏黄春波吕建虎王高琴唐保国
Owner STATE GRID SHANXI ELECTRIC POWER
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