Active power distribution network source network load storage collaborative optimization operation method based on multi-scene technology

A technology of active power distribution network and active power distribution, which is applied in the fields of energy storage, system integration technology, parallel feeding arrangement of single network, etc., can solve the problems of uncertainty of active power output of renewable energy power generation and so on.

CN112713618AActive Publication Date: 2021-04-27THE ACAD OF TIANJIN UNIV HEFEI
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2021-04-27

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Abstract

The invention discloses an active power distribution network source network load storage collaborative optimization operation method based on a multi-scene technology. The method comprises steps of firstly carrying out scene division of the active output of distributed renewable energy power generation based on the multi-scene technology, and considering the uncertainty of the active output of the distributed renewable energy power generation; secondly, an active power distribution network source network load storage collaborative optimization model being established with the lowest intra-day comprehensive operation cost of the active power distribution network as the target, and on the basis that only the source load storage collaborative optimization operation model is considered, the load storage collaborative optimization model being established; network reconstruction, reactive power output of a distributed renewable energy power generation inverter and an energy storage inverter and collaborative optimization operation of active power output of distributed renewable energy power generation being also considered, and collaborative optimization operation of active power distribution network source network load storage being realized; and finally, for the active power distribution network source network load storage collaborative optimization model, combining with a particle swarm optimization algorithm to solve a mixed integer programming problem.
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Description

technical field

[0001] The present invention relates to the technical field of distribution network operation, in particular to a multi-scenario technology-based collaborative optimization method for source, network, load, and storage of active distribution networks, which is suitable for formulating operating strategies for active distribution networks and realizing economic dispatch of active distribution networks . Background technique

[0002] The active output of distributed renewable energy generation is uncertain. Compared with the traditional economic dispatch, the economic dispatch of the active distribution network should scientifically and rationally formulate the coordinated optimization operation strategy of the source, network, load and storage to realize the distributed renewable energy. The full consumption of power generation improves the economy of the active distribution network. Therefore, the coordinated optimization operation of source-grid-load-storag...

Examples

Embodiment Construction

[0092] Such as figure 1 As shown, firstly, the present invention aims at the problem that the uncertainty of the active output of distributed renewable energy generation is not considered in the optimization operation of the above-mentioned active distribution network, and based on the multi-scenario technology, the active output of distributed renewable energy generation is divided into scenarios , thus taking into account the uncertainty of the active power output of distributed renewable energy generation; secondly, with the goal of the lowest comprehensive operating cost of the active distribution network in a day, a collaborative optimization model of the active distribution network power source network, load and storage is established. On the basis of the source-load-storage collaborative optimization operation model, it also considers the network reconfiguration, the collaborative optimization operation of the reactive output of distributed renewable energy generation in...