Wind-light-water-fire multi-source complementary optimization scheduling method

A technology that optimizes dispatching and scenery, applied in the field of electrical information, can solve problems that do not involve hybrid systems, energy storage technology stays in theoretical research, and is rarely used in actual engineering

Inactive Publication Date: 2015-11-11
SICHUAN UNIV
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Problems solved by technology

[0004] 2) Improve the energy storage technology of the system, and use the storage and release of energy to reduce the fluctuation of new energy power generation. However, most of the current energy storage technologies are still in theoretical research and are rarely used in practical projects. ChedidR, AkikiH, RahmanS.Adecisionsupporttechniqueforthedesignofhybridsolar-windpowersystems[J].IEEETransonEnergyConversion, 1998,13(1):76-83
However, most of the existing research focuses on the optim

Method used

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  • Wind-light-water-fire multi-source complementary optimization scheduling method
  • Wind-light-water-fire multi-source complementary optimization scheduling method
  • Wind-light-water-fire multi-source complementary optimization scheduling method

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Embodiment

[0104] Such as figure 1 As shown, the algorithm starts, and the control parameters of the input algorithm ( figure 1 in box 1). The first layer of the model is the virtual power optimization scheduling layer ( figure 1 in boxes 2-12). Input typical daily wind power and photovoltaic forecast output; input system load demand; input hydropower and thermal power installed capacity and unit parameters; select virtual power configuration scheme; set initial bundling ratio; calculate load tracking degree and load fluctuation characteristic index; increase bundling ratio , calculate the load tracking degree and load fluctuation characteristic index under the new ratio; judge whether it is the maximum bundling ratio; select the bundling ratio that maximizes the objective function; obtain the initial solution of the unit combination; judge whether it satisfies the formula (10) The minimum start-stop time constraints; modify the initial solution, and remove the redundant units; obtain...

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Abstract

The invention discloses a wind-light-water-fire multi-source complementary optimization scheduling method. The method is characterized in that an optimum bundling proportion coefficient of new energy and conventional energy can be obtained by using a load tracking index based on the complementary characteristic of power supplies; and then the conventional hydropower station and the thermal power station, together with the coefficient, are involved into the system scheduling operation. The constructed scheduling module enables the complementary effect of the power supplies to be realized fully; and the optimum peak regulation benefit, economic benefit, and environment-friendly benefit of the multi-source mixing system can be realized.

Description

technical field [0001] The present invention relates to a multi-source complementary optimal scheduling method for wind, water, fire, and electricity. Specifically, the present invention bundles and dispatches new energy and conventional power sources by utilizing the complementary characteristics between power sources, so that the power integrated into the grid can track the load well. Variety. The whole model realizes the maximization of peak-shaving benefits, economic benefits and environmental benefits of the multi-source hybrid system including wind, water and fire, and belongs to the field of electrical information. Background technique [0002] With the increasingly serious problems of fossil energy crisis and environmental pollution, countries around the world have accelerated the pace of developing new energy power generation technologies, and large-scale new energy grid integration has constituted a new structure of power grids with multiple power sources. Among t...

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Application Information

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IPC IPC(8): H02J3/46
Inventor 刘天琪曾雪婷李茜
Owner SICHUAN UNIV
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