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Multi-energy complementary system day-ahead optimal scheduling method considering maximum new energy consumption

A technology for optimal dispatching and new energy, applied in the field of integrated energy system operation and control

Pending Publication Date: 2021-04-16
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +2
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] In view of the deficiencies of the existing technology, the purpose of the present invention is to provide a multi-energy complementary system optimization scheduling method that considers the largest consumption of new energy, which is used to solve the problem of large-scale utilization of large-scale wind power and photovoltaics connected to the power grid. Energy complementary systems form multiple consumption technologies and multiple storage technologies to increase the consumption level of new energy

Method used

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  • Multi-energy complementary system day-ahead optimal scheduling method considering maximum new energy consumption
  • Multi-energy complementary system day-ahead optimal scheduling method considering maximum new energy consumption
  • Multi-energy complementary system day-ahead optimal scheduling method considering maximum new energy consumption

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Embodiment 1

[0096] figure 1 It is a flow chart of an optimal scheduling method for a multi-energy complementary system considering the maximum consumption of new energy. figure 1 Among them, the flow chart of an optimal scheduling method for a multi-energy complementary system that considers the maximum consumption of new energy provided by the present invention includes:

[0097] S1: Obtain the output forecast information of various types of power sources such as wind power and photovoltaics in the multi-energy complementary system and the forecast information of heat and electricity loads in the day-ahead;

[0098] S2: Construct the regulation model of cogeneration system;

[0099] S3: Establish a day-ahead optimal scheduling model for multi-energy complementary systems considering the largest new energy consumption;

[0100] S4: Use the differential evolution algorithm to solve the model, and obtain the daily output plan of various types of power sources;

[0101] Said S1 comprises ...

Embodiment 2

[0176] image 3 It is the topology diagram of the modified IEEE-39 node test system. Taking this as an example, the present invention provides a day-ahead optimization scheduling method for a multi-energy complementary system that considers the largest consumption of new energy:

[0177] S1: Obtain the output forecast information of multi-type power sources such as wind power and photovoltaics in the multi-energy complementary system and the forecast information of heat and electricity loads in the day-ahead;

[0178] (1) In the regional power grid, the rated power of wind power is 450MW, the rated power of photovoltaic is 200MW, the rated power of conventional power is 800MW, and the rated power of combined heat and power system is 300MW. Figure 4As shown, the prediction information of active power output of cogeneration system is as attached Figure 5 As shown, the forecast information of active power output of electric and thermal loads is as attached Image 6 shown.

...

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Abstract

The invention discloses a multi-energy complementary system day-ahead optimal scheduling method considering maximum new energy consumption. According to the method, aiming at a multi-energy complementary system day-ahead scheduling optimization problem considering new energy consumption, a multi-energy complementary system day-ahead scheduling optimization model is established by taking maximum wind power and photovoltaic power consumption as an objective and solved. The method comprises the specific steps of acquiring output prediction information and electric and thermal load day-ahead prediction information of wind, photovoltaic and other power generation equipment in a day-ahead system; establishing a multi-energy complementary system day-ahead optimal scheduling model considering maximum new energy consumption; and solving the model by using a differential evolution algorithm to obtain day-ahead output plans of various power supplies. According to the multi-energy complementary system day-ahead optimization scheduling method considering maximum new energy consumption, the operation characteristics of various power supplies are comprehensively considered, a day-ahead optimal scheduling plan with the maximum wind power and photovoltaic power consumption as the objective is made, and the consumption level of new energy is improved.

Description

technical field [0001] The invention belongs to the technical field of integrated energy system operation and control, and in particular relates to a day-ahead optimization scheduling method for a multi-energy complementary system that considers the maximum consumption of new energy. Background technique [0002] With the continuous development of society, the contradiction between energy utilization and environmental pollution is becoming more and more obvious. At this stage, fossil fuels still occupy a large proportion in my country's energy consumption system, which restricts the development of social economy to a certain extent. In order to achieve sustainable development, my country is working hard to upgrade its energy structure in an all-round way, gradually transforming to a non-fossil, efficient and environmentally friendly energy operation system. It is of great practical and far-reaching significance to realize the cascade efficient utilization of energy and prom...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/46G06Q10/04G06Q10/06G06Q50/06
CPCY02E10/56Y02E10/76Y02E40/70Y04S10/50
Inventor 张雯程刘文颖宋朋飞印欣张尧翔王方雨张雨薇庞清仑王都亮崔振东胡阳朱丽萍陈鑫鑫李潇郇悦刘紫东曾贇杨美颖韩小齐申自裕
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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