Power grid day-ahead optimization scheduling method based on thermal inertia of hot water network

A technology of optimized scheduling and thermal inertia, applied in climate sustainability, instruments, sustainable manufacturing/processing, etc., can solve problems such as unreasonable energy structure, restricted peak-shaving capacity, and lack of peak-shaving power in the power grid, so as to improve wind power Effect of resource utilization, reduction of consumption and generation cost

CN105279709AInactive Publication Date: 2016-01-27SOUTHEAST UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2016-01-27
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a power grid day-ahead optimization scheduling method based on thermal inertia of a hot water network. The power grid day-ahead optimization scheduling method based on thermal inertia of a hot water network utilizes a traditional power grid day-ahead optimization scheduling model which does not consider the thermal inertia of a hot water network to simulate scheduling and search the serious period that a wind driven generator stops working, and then utilizes the thermal inertia of a hot water network to reasonably adjust the quantity of heat production for scheduling simulation under the premise that the indoor temperature of a heat consumer is satisfied, and can reduce the heat supply power of a cogeneration unit during the serious period that a wind driven generator stops working, and can optimize and adjust the reduced heat supply power to the no-serious period that a wind driven generator stops working, so the adjustable scope of the power supply power of the cogeneration unit during the serious period that a wind driven generator stops working can be increased so that more wind power can access the network; and according to the adjusted quantity of heat production, power grid day-ahead optimization scheduling is performed again. Compared with the prior art, the power grid day-ahead optimization scheduling method based on thermal inertia of a hot water network can improve the utilization rate of wind energy resources and reduce the generating cost under the premise that the indoor temperature requirement of the heat consumer is satisfied.
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Description

technical field

[0001] The invention relates to a day-ahead optimal scheduling method for a power grid, in particular to a day-ahead optimal scheduling method for a power grid based on thermal inertia of a heating network, and belongs to the technical field of power system scheduling. Background technique

[0002] Wind energy is currently the renewable energy with the greatest potential for large-scale commercial development in the world. Large-scale development and utilization of wind power generation has become an effective measure for countries all over the world to solve energy and environmental problems, improve energy structure, and ensure sustainable development of national economy. my country is rich in wind energy resources, and the potential for developing wind energy is huge. The total wind energy development on land and sea is about 1000-1500GW. Wind power has the resource base to become an important part of my country's future energy structure. The Chinese gove...

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Embodiment Construction

[0025] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0026] In order to overcome the deficiencies of the existing technology, the idea of ​​the present invention is to firstly use the traditional day-ahead optimization dispatching model of the power grid without considering the thermal inertia of the heating network to perform simulated dispatching, and find the time period when the wind curtailment is serious; Under the premise that the user's indoor temperature meets the requirements, reasonably adjust the heat production of the simulated dispatch, reduce the heating power of the combined heat and power unit during the severe wind curtailment period, and optimally adjust the reduced heating power to the non-severe wind curtailment period , so as to increase the adjustable range of the power supply power of cogeneration units during severe wind curtailment, so as to accept more wind power into the grid; f...