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Method for performing power optimized scheduling on controllable loads comprising air conditioning loads

A technology for air-conditioning load and optimal scheduling, applied in the field of power systems, can solve the problems of users lacking time-of-use electricity prices, weakening users' roles, and lack of assisting users to optimize power consumption management systems.

Inactive Publication Date: 2015-09-30
HUAQIAO UNIVERSITY
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Problems solved by technology

However, there are several reasons that weaken the role of users in the electricity price market. On the one hand, users lack knowledge about time-of-use electricity prices and demand response.

Method used

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  • Method for performing power optimized scheduling on controllable loads comprising air conditioning loads
  • Method for performing power optimized scheduling on controllable loads comprising air conditioning loads
  • Method for performing power optimized scheduling on controllable loads comprising air conditioning loads

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Embodiment Construction

[0067] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0068] The invention provides an intelligent algorithm-based electricity optimization scheduling method. The controllable loads include air-conditioning loads with adjustable power and transferable loads; the air-conditioning operation optimization target model is established for the air-conditioning loads, and the transferable load optimization is established for the transferable loads. The target model; the non-dominated sorting genetic algorithm is used to optimize the air-conditioning operation optimization target model; the adaptive genetic algorithm is used to optimize the transferable load optimization target model.

[0069] Specifically include the following steps:

[0070] Step 1: Collect relevant data information for constructing an optimization model;

[0071] Step 2: Model the air conditioning load and indoor and outdoor temperatu...

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Abstract

The invention relates to a method for performing power optimized scheduling on controllable loads comprising air conditioning loads. The controllable loads comprise the air conditioner loads with adjustable power as well as transferrable loads; an air conditioner operation optimization target model is established for the air conditioner loads, and a transferrable load optimization target model is established for the transferrable loads; the air conditioner operation optimization target model is optimized with a non-dominated sorting genetic algorithm; the transferrable load optimization target model is optimized with a self-adaptive genetic algorithm. On the premise that power utilization habits and power utilization comfort of a user are considered, electric equipment is classified as electric equipment with controllable loads and electric equipment with fixed loads, the air conditioner loads and the transferrable loads in the controllable loads are modeled, the power utilization modes are optimized with the corresponding intelligent algorithms respectively, and the controllable loads are effectively optimized and managed on the premise that the power utilization comfort of the user is realized.

Description

technical field [0001] The present invention relates to the technical field of electric power system, and more specifically, relates to a method for optimal dispatching of electricity consumption for controllable loads including air-conditioning loads Background technique [0002] With the growth of global electricity demand, the power gap and peak-to-valley difference increase, the growth of power production cannot meet the growth of power demand in various places, and the contradiction between power supply and demand is deepening. Insufficient power grid capacity and environmental pollution caused by the rapid growth of traffic. [0003] Demand response has the advantages of low cost, fast response, and environmental protection, and can improve the operating efficiency of the power system; through optimal scheduling of electrical equipment to achieve demand response, for the power users themselves, it can be based on their own electricity demand and the power grid. Find a...

Claims

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Application Information

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IPC IPC(8): G06Q50/06G06N3/12
Inventor 方瑞明杨屹洲
Owner HUAQIAO UNIVERSITY
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