Power distribution network optimization scheduling method and system considering power supply capability
A technology of power distribution network and large power grid, which is applied in the field of distribution network optimization scheduling method and system considering power supply capacity, can solve the problems that power supply stability needs to be improved, and the influence of demand side load changes on system power supply capacity is not considered. , to achieve the effect of improving power quality level, improving consumption capacity and reducing network loss
Pending Publication Date: 2021-07-02
CHINA ELECTRIC POWER RES INST +2
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[0005] However, none of the current literatures that use the coordinated control technology of source, network, load and storage for controllable resource scheduling has not considered the impact of demand-side load changes on the power supply capacity of the system, and its power supply stability still needs to be improved.
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[0029] In order to make the objects, technical solutions, and advantages of the present invention more clearly, the technical solutions in the embodiments of the present invention will be described in contemplation in the embodiments of the present invention, and will be described, and the embodiments described herein will be described. It is a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.
[0030] In order to give full play to the adjustment of the controlled resources such as grid, distributed energy, energy storage, and its complementary characteristics, the present invention provides a distribution network optimization scheduling method for power supply capacity, which has established to maximize renewable energy Rate, the minim...
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The invention relates to a power distribution network optimization scheduling method and system considering power supply capability. The method comprises the following steps: determining the optimal output of each power supply node in a power distribution network and the optimal switch state of each line in the power distribution network according to the load demand of each load node in the power distribution network; respectively controlling the output of each power supply node in the power distribution network and the on-off state of each line in the power distribution network to be the optimal output and the optimal on-off state. According to the technical scheme provided by the invention, coordinated scheduling is performed on the controllable resources on the basis of fully considering the power supply capability of the system, the consumption capability of the distributed power supply in the system is improved, the network loss is reduced, and the electric energy quality level of the electric power system is improved.
Description
Technical field [0001] The present invention relates to the field of electricity systems and their automation, and more particularly to a distribution network optimized scheduling method and system for considering power supply capacity. Background technique [0002] Energy is one of the important factors affecting the level of social and economic development. Under the big trend of global development of global clean energy, DG in renewable energy is rapidly developed, one of the means of responding to energy crises, and is also an important support for the transformation of "large grid" mode. [0003] Nowadays, traditional distribution networks are now shifted to the Active Distribution Network, ADN. The active distribution network can make full use of the controllable resources, is an effective means of supporting large-scale DG access distribution networks. Coordinated optimization targets for active distribution networks are achieved by a variety of controllable resources such...
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Login to View More IPC IPC(8): H02J3/46H02J3/18H02J3/06H02J3/38
CPCH02J3/06H02J3/18H02J3/46Y02E40/30
Inventor 张瑜宋晓辉李建芳高菲李雅洁赵珊珊
Owner CHINA ELECTRIC POWER RES INST