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Optimized scheduling method with controllable air conditioning load

An air-conditioning load and optimal scheduling technology, applied in the field of electric load, can solve problems affecting the safe and stable operation of the power system, and achieve the effect of overcoming safe and stable operation

Pending Publication Date: 2019-04-19
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +4
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to solve the above problems, and propose an optimal scheduling method for controllable air-conditioning loads, which is used to solve the problem that the traditional load control method affects the safe and stable operation of the power system

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  • Optimized scheduling method with controllable air conditioning load
  • Optimized scheduling method with controllable air conditioning load
  • Optimized scheduling method with controllable air conditioning load

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Embodiment Construction

[0048] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0049] According to an embodiment of the present invention, a controllable air-conditioning load optimization scheduling method is provided, which solves the problem that unreasonable load control methods affect the safe and stable operation of the power system.

[0050] Step 1. Select the IEEE30 node system as the simulation system of the example. Assume that a certain load aggregation layer governs 20 load groups. At the same time, it is assumed that the dispatch center issues instructions to the aggregation layer control center every 5 minutes, and the target power curve is stepped. shape.

[0051] Step 2, use Kalman filter to estimate the operating status of the...

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Abstract

The invention discloses an optimized scheduling method with a controllable air conditioning load. The method comprises the steps of: establishing an air conditioning load group aggregation model; using a Kalman filter algorithm to estimate the state of the air conditioning load group; establishing an optimal scheduling model of a controllable air conditioning load aggregation group; and employingthe CPLEX to solve the optimal scheduling model of the controllable air conditioning load aggregation group. The optimal scheduling method with the controllable air conditioning load can overcome theproblems of the unreasonable load control method influencing the safe and stable operation of the power system in the prior art, guarantees that distribution of the air conditioning load group betweenthe upper and lower limits of the temperature is unchanged after control and keeps the diversity of air conditioning load groups.

Description

technical field [0001] The invention relates to the technical field of electric loads, in particular, to a research on an optimal scheduling method for controllable air-conditioning loads. Background technique [0002] There are a large number of loads with energy storage characteristics in the power system. Short-term switching or changing control parameters of such loads will not have obvious negative effects on users' electricity consumption, and have the potential to actively participate in system power balance control. The air-conditioning load is a typical representative load. Directly adjusting the operating state of the air-conditioning load is conducive to fully tapping the controllable resources on the load side, coordinating with the resources on the power generation side, and realizing active power balance control economically, efficiently and safely. [0003] Utilizing the controllable air-conditioning load to actively participate in the active power balance con...

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Application Information

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IPC IPC(8): H02J3/00
CPCH02J3/00H02J2310/14H02J2203/20Y04S20/222Y02B70/3225
Inventor 许春蕾刘文颖王维洲夏鹏华夏郭虎刘福潮张雨薇拜润卿朱丹丹梁琛王方雨药炜姚春晓史玉杰张尧翔彭晶郑晶晶吕良曾文伟王贤荣俊杰李宛齐聂雅楠冉忠胡阳朱丽萍李潇陈鑫鑫郇悅
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)