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

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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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 optimal capacity planning and configuration of the hybrid system and the coordinated control among various power sources. It is not based on the installed capacity of the existing new energy and conventional power sources in the system, and considers multi-source coordination and complementarity from the scheduling level. The problem

Moreover, the hybrid systems that have been studied only include two or three power sources, and have not involved hybrid systems that contain four or more power sources.

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