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Constant temperature control intelligent load combined optimization method

A technology of joint optimization and constant temperature control, which is applied in the direction of using electric mode for temperature control, auxiliary controller with auxiliary heating device, etc., can solve the problems of ignoring the relationship between constant temperature control loads and the inability to take into account factors at the same time. Achieving the effect of achieving overall optimization, realizing user benefits, and optimizing comprehensive benefits

Inactive Publication Date: 2015-12-02
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

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  • Constant temperature control intelligent load combined optimization method
  • Constant temperature control intelligent load combined optimization method
  • Constant temperature control intelligent load combined optimization method

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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 situation of two constant temperature control intelligent loads, electric water heater and air conditioner, which are commonly used in the home, and can be extended to the situation of multiple intelligent 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] ...

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Abstract

The invention discloses a constant temperature control intelligent load combined optimization method. The method comprises the following steps: firstly, a user electric water heater required temperature scope, a user air-conditioning required temperature, time-of-use power price data and user electric water heater water quality are collected; secondly, an electric water heater working period is determined; thirdly, a correlation model of an electric water heater and an air-conditioning required temperature is established; the correlation model is used to obtain an optimal control strategy of lowest electric water heater and air-conditioning power consumption total cost. The correlation among user (temperature) demands of constant temperature control intelligent loads with different kinds is considered integratedly, and overall optimization containing power consumption cost and (temperature) demands is achieved.

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...

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Application Information

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Patent Type & Authority Applications(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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