Data optimization processing method and system for long-distance transmission of multi-energy electric power
A data optimization and processing system technology, applied in data processing applications, system integration technology, information technology support systems, etc., can solve the problem of reducing the work efficiency of relevant personnel in computing and processing work
Inactive Publication Date: 2017-10-17
STATE GRID ENERGY RES INST
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Problems solved by technology
[0006] In the existing technology, most of the calculation methods cannot provide users with faster and more accurate calculations of power data and new energy installed capacity matching schemes. At the same time, complex and cumbersome calculations reduce the work efficiency of relevant personnel
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Embodiment Construction
[0081] The specific implementation of the data optimization method and system for multi-energy electric power long-distance transmission of the present invention will be described below in conjunction with the accompanying drawings.
[0082] An embodiment of the present invention provides a data optimization processing system 1 for long-distance transmission of multi-energy power, such as figure 1 As shown, it includes a processing server 2 for calculating and processing power data, wherein:
[0083] In the embodiment of the present invention, wind power energy is used as new energy to illustrate the installed capacity and operation matching scheme of new energy power generation output by the data optimization processing system for long-distance transmission of multi-energy power and conventional power supply.
[0084] The processing server 2 includes a receiving module 10, an abandoned clean energy scale module 20, a traditional power supply auxiliary service cost module 30, ...
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The invention discloses a data optimization method and system for multi-energy source electric power remote transmission. The method comprises the following steps that basic information used for configuring electric power data is received, the basic information is calculated to obtain landing power price and landing cost, the landing power price is contrasted with local power source average on-grid power price, the landing cost is contrasted with local power source average power generation cost, the feasibility of grid connection for new energy resources with different installed capacities for the new energy resources is judged, and therefore an installed capacity and operation matching scheme for new energy resource power generation and common power sources are obtained. According to the data optimization method and system for multi-energy source electric power remote transmission, the required electric power data, the installed capacity and the operation matching scheme for new energy resource power generation and the common power sources can be quickly and accurately calculated, and meanwhile complex installed capacity matching and selecting operation for the new energy resources is electronized and automated.
Description
technical field [0001] The invention relates to the field of power system planning, in particular to a data optimization method and system for long-distance transmission of multi-energy power. Background technique [0002] From the point of view of the whole system, for a transmission channel with a certain capacity, if a small amount of measures to limit the output of wind farms are taken when wind power is booming, the utilization hours of wind power will decrease and the on-grid electricity price will increase for the wind farm alone; The installed capacity of wind power that can be connected to the grid increases, the utilization hours of the transmission channel increase, and the transmission price decreases; comprehensively considering the wind power plant and the transmission link, a reasonable matching relationship can be found between the installed capacity of the wind farm and the capacity of the transmission channel , so that the landing electricity price for wind...
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IPC IPC(8): G06Q10/04G06Q50/06
CPCY02E40/70Y04S10/50
Inventor 白建华辛颂旭伍声宇蒋莉萍陈立斌程路张栋张钦胡泊
Owner STATE GRID ENERGY RES INST