Three-tier optimal dispatching method of active distribution network based on energy storage time-sharing state decision-making

A technology for active distribution network and optimized dispatching, applied in energy storage, circuit devices, AC network circuits, etc.

Active Publication Date: 2018-02-16
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +4
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] To sum up, for the optimal scheduling of active distribution networks, there is currently a lack of a modeling and solution metho

Method used

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  • Three-tier optimal dispatching method of active distribution network based on energy storage time-sharing state decision-making
  • Three-tier optimal dispatching method of active distribution network based on energy storage time-sharing state decision-making
  • Three-tier optimal dispatching method of active distribution network based on energy storage time-sharing state decision-making

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Embodiment 1

[0102] For a distribution network, combined with its renewable energy and load history curves, the predicted value of the daily load curve and the predicted value of renewable energy power generation are obtained. figure 2 It is a schematic diagram of active distribution network partition, image 3 is the total load curve of zone 1, Figure 4 For the renewable energy generation power curve, the load curve and the renewable energy curve are superimposed to obtain the total fluctuation curve, Figure 5 Draw a reference curve for the final state.

[0103] Combined with the renewable energy and load history curves of the active distribution network, the predicted value of the daily load curve and the predicted value of renewable energy power generation are obtained. When , make the energy storage system run in the charging state, eliminate the trough, and store renewable resources; when When the energy storage system is running in the charging state, eliminating the peak,

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Abstract

The invention relates to the technical field of optimal dispatching of a power system, in particular to a three-tier optimal dispatching method of an active distribution network based on energy storage time-sharing state decision-making. The method comprises the steps of comprehensively considering of a load and renewable energy power generation curve fluctuations, calculating a reference power value for the division of states of charge and discharge of energy storage, and then providing the division of time periods of charge and discharge of energy storage devices in each region; with the goal of minimizing the network loss, considering renewable energy, network security and regional tie line power constraints and combined with the time periods of charge and discharge of energy storage, calculating a backbone network dispatching plan and each regional tie line power; and with the goal of minimizing the generation cost, combined with the time periods of charge and discharge of energy storage and each regional tie line power and considering distributed power supply and network security constraints, performing the optimal dispatching of resources in the regions. The method of the invention can prolong the battery life, makes the strategy calculation simple and is highly practical.

Description

technical field [0001] The invention relates to the technical field of optimal dispatching of power systems, in particular to a three-layer optimal dispatching method for an active distribution network based on energy storage time-sharing state decision-making. Background technique [0002] With the deteriorating environmental problems, a large amount of renewable energy (RenewableEnergy RE), mainly photovoltaic and wind power, is connected to the distribution network to form an active distribution network (Active Distribution Network ADN). The output of renewable energy is constantly changing due to the influence of weather and time, and does not match the peak load. With the increasing demand for electricity from users, the power peak-to-valley difference in the power grid continues to increase. Necessary peak-shaving measures must be taken during operation . [0003] The energy storage system (Energy Storage System, ESS) has the advantages of high energy storage density ...

Claims

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Application Information

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IPC IPC(8): H02J3/32
CPCH02J3/32H02J2203/20Y02E70/30
Inventor 孙英云孟繁星范士雄卫泽晨韩巍周济李晨刘幸蔚王伟李烨杨占勇杨洋杜佳桐李时光崔慧军王国鹏韩思维吴华华张俊王威张静炜贺旭游大宁瞿寒冰公伟勇吴锟
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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