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Energy storage station planning method, device and equipment

An energy storage station and planning technology, applied in instruments, biological models, calculation models, etc., can solve the problems of lack, high planning cost, and inability to optimize the load characteristic curve of the distribution network, and achieve the effect of improving accuracy.

Active Publication Date: 2021-09-03
杭州市电力设计院有限公司余杭分公司 +2
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Problems solved by technology

[0002] With the rapid growth of electricity load and the increase of the peak-to-valley difference of power grid load, the resource margin of power grid operation is severely limited. The introduction of energy storage stations can play a role in peak-shaving and valley-filling of distribution network and improve equipment utilization. Among them, the difference in the location of the energy storage station and the difference in capacity value will have an impact on the optimization effect of the load characteristic curve of the distribution network and the planning cost of the energy storage station. There is a lack of a mature energy storage in the existing technology. The station planning method leads to poor accuracy of site selection and capacity determination of energy storage stations, that is, while the planning cost is high, the load characteristic curve of the distribution network cannot be well optimized

Method used

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  • Energy storage station planning method, device and equipment
  • Energy storage station planning method, device and equipment
  • Energy storage station planning method, device and equipment

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specific Embodiment approach

[0137] The main methods and steps can be summarized as follows: adopt the decimal encoding method, and encode the energy storage station, then randomly generate the initial whale population, and select a data from it as the cluster center, and select the remaining k-1 according to the principle of maximum distance Then the whale population is assigned to the corresponding cluster according to the minimum distance principle, the individual fitness value is calculated, and the global optimal individual and the optimal individual of each cluster are marked, and then the whale individual updates itself according to the position of the leading whale Location. Since the selection of the leading whale is not limited to the global optimal individual, but also considers the optimal individual in its cluster, and the selection is random, it effectively avoids the reduction of population diversity in the later stage of iteration and improves the globality of the algorithm.

[0138] Among...

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Abstract

The invention discloses an energy storage station planning method, which considers that global search of a whale optimization algorithm has randomness and inevitably causes low population diversity and premature convergence (falling into a local optimal solution) in the later evolution stage of the whale optimization algorithm, so that when the position of each whale individual is updated, the current global optimal whale individual is no longer blindly followed, but the position of each whale individual is updated according to the global optimal whale individual and the optimal whale individual of the cluster where the global optimal whale individual is located, so that the situation that population diversity is reduced and the whale individual falls into a locally optimal solution is avoided, the accuracy of energy storage station locating and sizing is improved, and the load characteristic curve of the power distribution network can be better optimized while the planning cost is reduced. The invention also discloses an energy storage station planning device and equipment, which have the same beneficial effects as the energy storage station planning method.

Description

technical field [0001] The invention relates to the field of energy storage station planning, in particular to an energy storage station planning method, and also relates to an energy storage station planning device and equipment. Background technique [0002] With the rapid growth of electricity load and the increase of the peak-to-valley difference of power grid load, the resource margin of power grid operation is severely limited. The introduction of energy storage stations can play a role in peak-shaving and valley-filling of distribution network and improve equipment utilization. Among them, the difference in site selection and capacity value of the energy storage station will have an impact on the optimization effect of the load characteristic curve of the distribution network and the planning cost of the energy storage station. The existing technology lacks a mature energy storage The station planning method leads to poor accuracy of site selection and capacity determ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06K9/62G06N3/00
CPCG06Q10/06313G06Q50/06G06N3/006G06F18/23213Y04S10/50
Inventor 王德君王杨徐辉黄宁洁童斌
Owner 杭州市电力设计院有限公司余杭分公司
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