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Coordinated Optimal Scheduling Method Considering Power Supply Flexibility Margin

A coordinated optimization and flexible technology, applied in the field of wind, water and fire complementary coordination and optimization scheduling, can solve problems such as lack of combination, backup redundancy, and few types of power sources

Active Publication Date: 2022-02-18
NORTHEAST DIANLI UNIVERSITY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing studies on multi-source complementary coordinated optimal dispatching either have few types of power sources, or are simply equipped with sufficient reserve capacity to deal with the impact of renewable energy uncertainties. risk; on the other hand, equipped with sufficient spare capacity will inevitably result in a large amount of spare redundancy, resulting in more economic losses
In terms of flexibility, most of them focus on principle analysis and qualitative evaluation, and lack of integration with actual production

Method used

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  • Coordinated Optimal Scheduling Method Considering Power Supply Flexibility Margin
  • Coordinated Optimal Scheduling Method Considering Power Supply Flexibility Margin
  • Coordinated Optimal Scheduling Method Considering Power Supply Flexibility Margin

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Embodiment Construction

[0125] The present invention will be further described below using the accompanying drawings and examples.

[0126] According to the present invention, a wind-solar-water-fire complementary coordinated optimal scheduling method considering the power supply flexibility margin, its embodiment parameter values ​​are set as follows:

[0127] Table 1 Relevant parameters of thermal power plant

[0128]

[0129] Time period T=24;

[0130] Up-adjusted flexibility demand coefficient ω caused by system load forecast error u1 =0.02;

[0131] Down-regulation flexibility demand coefficient ω caused by system load forecast error d1 =0.02;

[0132] Up-adjustment flexibility demand coefficient ω caused by system wind power prediction error u2 =0.05;

[0133] Up-adjustment flexibility demand coefficient ω caused by system wind power prediction error d2 =0.05;

[0134] Up-adjustment flexibility demand coefficient ω caused by system optoelectronic prediction error u3 =0.05;

[0135]...

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Abstract

The present invention is a wind-solar-water-fire complementary coordinated optimal scheduling method considering the power supply flexibility margin, which is characterized in that it includes the following steps: establishing a mathematical model for calculating the power supply flexibility margin for upward adjustment and downward adjustment flexibility margin; constructing a system based on The goal is to minimize the sum of coal-burning costs and pollution gas emission control costs, and consider the wind power, water and fire complementary coordination and optimization scheduling model of power supply flexibility margin; formulate "priority for full consumption of wind power and photovoltaics, follow up with hydropower regulation to stabilize system net Load fluctuations, and finally the thermal power will bear the system's remaining net load" hierarchical scheduling strategy. The traditional particle swarm optimization algorithm is used to calculate the overall optimal output power of hydropower, the heuristic priority method is used to determine the combination of thermal power units, and the optimal output power of thermal power units is calculated by improving the particle swarm optimization algorithm. Generation schedule within the dispatch cycle. This method can effectively improve the power supply flexibility margin and promote the consumption of renewable energy.

Description

technical field [0001] The invention relates to the field of multi-energy power system complementary coordination optimization dispatching, and is a wind-solar, water-fired complementary coordination optimization dispatching method considering power supply flexibility margin. Background technique [0002] The multi-energy power system with large-scale renewable energy has a wide variety of power sources and a complex structure, which comes from the double superposition of uncertainties in power sources and loads, which puts forward higher requirements for system backup, and the operational flexibility of multi-energy power systems has become the current research hotspot. The central idea of ​​power system flexibility is to "response to change by change", which is the ability to optimally deploy a variety of resources with adjustment capabilities to respond to random changes in power supply, grid and load within the system at the cost of a certain cost. Fully analyzing the f...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/46G06Q10/06G06Q50/06
CPCY02E10/56Y02E10/76Y04S10/50
Inventor 肖白肖志文严干贵姜卓董凌王茂春杨洪志周鹏
Owner NORTHEAST DIANLI UNIVERSITY