A wind power consumption method using energy storage system to improve peak shaving space
An energy storage system and wind power consumption technology, applied in wind power generation, energy storage, circuit devices, etc., can solve the problems of wind-fire-storage interactive scheduling without related research
Active Publication Date: 2020-07-07
JILIN PROVINCE ELECTRIC POWER RES INST OF JILIN ELECTRIC POWER CO LTD +2
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[0005] The object of the present invention is to provide a wind power accommodation method that utilizes an energy storage system to increase the peak-shaving space to solve the combined wind power accommodation of the energy storage system and spinning reserve in the prior art, and the specific wind power accommodation based on this Fire-storage interactive scheduling has no technical issues related to research
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[0059] Embodiment: The present invention takes the conventional 10 power plant system as the research object to verify the effectiveness of the proposed method. Set No. 5 and No. 6 as wind turbines. The algorithm parameters in this section are set as follows. The inertia weight w start = 0.9, w end = 0.4, learning factor c 1 =c 2 =2.05, simulated annealing start temperature T=100000, termination temperature T 0 =1000, the maximum number of iterations t max =200 times, the number of population particles is 50. The scheduling constraints are set as follows, the spinning reserve coefficient χ 1 % set to 0.2, χ 2 % is set to 0.3, the spin reserve rate k 1 , k 2 The average value is 4%. The parameters of the thermal power unit are the same as those of the conventional 10 units, and the parameters of the thermal power unit C w = 20, C u =50. use figure 2 The multi-objective SA-PSO algorithm based on Pareto optimality shown in the figure solves the economic dispatch mod...
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The present invention discloses a wind power elimination method for improving peak regulation space through adoption of an energy storage system. On the basis of establishment of a daily scheduling model comprising a wind power plant considering wind-fire set output smooth constraint and wind power permeability limit constraint, a wind-fire storage association system daily scheduling model for improving wind power peak regulation space through adoption of the energy storage system is constructed. The minimum total cost of the association system and the maximization of the wind power on-grid energy are taken as multiple targets, a multi-target SA-PSO algorithm base on Pareto optimization is utilized to solve the optimization scheduling scheme of the association system. The wind power elimination method for improving peak regulation space through adoption of the energy storage system can realize the real-time and effective elimination of wind power after the wind power peak regulation space is improved through the energy storage system and have important meanings for guidance of actual wind power grid-connected operation and optimization scheduling.
Description
technical field [0001] The invention belongs to the technical field of electric power system scheduling and planning, and in particular relates to a method for accommodating wind power by using an energy storage system to increase peak-shaving space. Background technique [0002] With the advent of a new round of energy revolution, new energy power generation will gradually replace traditional thermal power generation and become the epitome of the development of human society in the energy revolution. At present, thermal power is still the most important form of power generation in the world. It is a long process from zero substitution of new energy to total substitution. During this period, the effective integration and full utilization of new energy will become an important part of energy substitution. Wind power generation can effectively alleviate the environmental pollution caused by fossil energy and reduce the level of thermal power generation. However, it is easily ...
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IPC IPC(8): H02J3/32H02J3/46
CPCH02J3/32H02J3/46H02J2203/20Y02E10/76Y02E70/30
Inventor 吕项羽姚强王鼎樊士荣田春光李德鑫王佳颖常学飞刘宸王家尊袁野余达菲苏阔周宏伟李成钢高松陈璟毅孟涛王鹤刘畅蔡丽霞王长胜
Owner JILIN PROVINCE ELECTRIC POWER RES INST OF JILIN ELECTRIC POWER CO LTD