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Multi-objective power distribution network optimization method

An optimization method and technology of distribution network, applied in the direction of power network operating system integration, electrical components, circuit devices, etc., can solve the problems of lack of effective control and operation technology, decentralized and uncontrollable, etc.

Inactive Publication Date: 2020-11-03
JIANGSU ELECTRIC POWER CO
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The output and access of distributed energy storage are characterized by decentralization and uncontrollability. From the perspective of power grid dispatching, wide-area distributed energy storage, especially the energy storage system configured at the user end, lacks effective control and Operational technology to control and manage

Method used

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  • Multi-objective power distribution network optimization method
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  • Multi-objective power distribution network optimization method

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Embodiment 1

[0059] Embodiment 1: a multi-objective distribution network optimization method, comprising the following steps:

[0060] Step 1: Set scheduling priority standards for energy storage systems and flexible loads in the distribution network, and establish the optimization goals of improving renewable energy utilization, minimizing network losses, and improving user satisfaction.

[0061] In this step, the energy storage system and the flexible load in the distribution network set the scheduling priority criteria including: the scheduling priority of the flexible load is higher than the scheduling priority of the energy storage system, and the flexible load can be transferred during low power consumption. The scheduling priority of the load is higher than the scheduling priority of reducing the load. details as follows:

[0062] (1) Improve the utilization rate of renewable energy

[0063] Wind farm power generation and photovoltaic power generation are set according to the prin...

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Abstract

The invention relates to a multi-objective power distribution network optimization method, and the method comprises the following steps: 1, setting a scheduling priority standard for an energy storagesystem and a flexible load in a power distribution network, and determining improvement of renewable energy utilization rate, minimization of network loss and improvement of user satisfaction as optimization objectives; 2, establishing an objective function of a multi-objective optimal scheduling model according to scheduling priority standards and optimization objectives of an energy storage system and a flexible load in the power distribution network; 3, determining the constraint conditions of the target function; 4, solving the target function under the constraint condition so as to obtain an optimization scheme of the power distribution network. According to the method, the distributed energy storage system and the load can be reasonably coordinated, so the operation of the power distribution network is optimized, the utilization rate of renewable energy sources is improved to the greatest extent, the network loss is reduced to the greatest extent, and the user satisfaction is improved to the greatest extent.

Description

technical field [0001] The invention belongs to the field of electric power systems, and in particular relates to a multi-objective distribution network optimization method for coordinated control of distributed energy storage and flexible loads. Background technique [0002] The output and access of distributed energy storage have the characteristics of decentralization and uncontrollability. From the perspective of grid scheduling, wide-area distributed energy storage, especially the energy storage system configured at the user end, lacks effective control and control. Run technology to control and manage. The peak-to-valley difference, frequency, voltage and power quality of the power grid cannot be effectively improved, which results in a huge waste of energy storage resources. The coordinated operation of distributed loads can not only reduce the distribution capacity through peak regulation and valley filling, but also make up for the negative impact of the randomness...

Claims

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Application Information

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IPC IPC(8): H02J3/46H02J3/32H02J3/14
CPCH02J3/32H02J3/144H02J3/466H02J2203/20Y02B70/3225Y02E70/30Y04S20/222
Inventor 胡波钮骏汤勍
Owner JIANGSU ELECTRIC POWER CO
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