Distributed power supply, energy storage and flexible load combined scheduling method and device

A distributed power supply and flexible load technology, applied in the direction of circuit devices, resources, electrical components, etc., can solve problems such as long computing time and insufficient scheduling capabilities

Active Publication Date: 2019-09-06
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +4
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The current large-capacity resource scheduling method is an economical scheduling method that takes into account power purchase costs, loss costs, and management costs, and fails to consider the impact of various distributed resource power supply capabilities, especially for resources with limited capacity such as energy storage. , it is prone to the situation of insufficient scheduling capacity at a specific moment
The uncertainty problem in the scheduling process of small-capacity resources is solved by the Monte Carlo algorithm, and the scheduling value is obtained through a large amount of simulated data, but the calculation time is relatively long, which is not suitable for real-time scheduling.

Method used

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  • Distributed power supply, energy storage and flexible load combined scheduling method and device
  • Distributed power supply, energy storage and flexible load combined scheduling method and device
  • Distributed power supply, energy storage and flexible load combined scheduling method and device

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Embodiment 1

[0095] In the embodiment of the present invention, the operation mode of a resource aggregator is taken as an example to describe the model and algorithm of the present invention.

[0096] (1) Operation mode of resource aggregator

[0097] The power grid company issues scheduling instructions to the resource aggregator for the purpose of grid regulation. The resource aggregator jointly dispatches various distributed resources to complete the scheduling instruction through internal optimization. The main scheduling methods are direct scheduling and indirect scheduling in response to electricity prices. The operation mode is as follows: figure 2 Shown:

[0098] 1) The aggregator accepts the power grid dispatching model: the power grid company directly issues scheduling instructions to the resource aggregator for the purpose of peak regulation, frequency regulation, voltage regulation, and network congestion relief, and gives corresponding economic incentives according to the in...

Embodiment 2

[0164] The improved IEEE33 node power distribution range is selected as the resource aggregation area, and the line structure is as follows Figure 4 shown. The rated voltage of the system is 10kV, the reference apparent power is 10MVA, node 1 is a balanced node, and the voltage of the bus is 10.5∠0°kV. The output prediction curve is as Figure 5 shown. Table 2 shows the maximum power of small-capacity resources of each node and node parameters. Set K 1 and K 2 800 and 1600 yuan / MWh respectively, f RA It is 1000 yuan, the confidence degree α=0.98, and the reserve power ε=0.2MW. The solution algorithm adopts the improved particle swarm optimization method, and the algorithm parameters are set as follows: the number of particles is 50, the number of iterations is 100, and the acceleration coefficient c 1 =c 2 = 2, the value range of ω is [0.5, 1.1] through multiple experiments, the algorithm has a strong global search ability, so that no PSO and N PSO are the current...

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Abstract

The invention discloses a distributed power supply, energy storage and flexible load combined scheduling method and device. The distributed power supply, energy storage, flexible load and other distributed resources are numerous in number, dispersed in layout and difficult to be directly scheduled by a power grid; and a resource aggregator can execute a power grid scheduling instruction by internally integrating various distributed resources. Based on the operation mode of the resource aggregator, a combined scheduling model combining large-capacity resource direct scheduling and small-capacity resource electricity price response indirect scheduling is established. On the basis, with the maximum profit of the resource aggregator as an optimization target, rolling online evaluation is carried out on the large-capacity resource scheduling performance difference, and a dynamic comprehensive scheduling priority is set; for the uncertainty of indirect scheduling of small-capacity resources,an opportunity scheduling constraint containing fuzzy parameters is provided; and an improved particle swarm algorithm is adopted to clarify the fuzzy opportunity constraint and solve the schedulingmodel. Based on an IEEE33 node power distribution network, the effectiveness and scientificity of the proposed model and algorithm are verified.

Description

technical field [0001] The invention relates to a method and device for joint dispatching of distributed power sources, energy storage and flexible loads, and belongs to the technical field of power grid optimization operation. Background technique [0002] For a long time, the power grid mainly meets the requirements of peak regulation and frequency regulation by dispatching the power source side (centralized power plant). With the massive access to new energy sources, the annual utilization hours of traditional power plants are forced to decline, and the pressure on power grid regulation increases sharply. The power grid has fallen into a vicious circle of increasing uncertainty and weakening regulation ability. An effective means to solve this dilemma is to cooperate with massive distributed resources to actively participate in power grid regulation, so that it can transform from a "heavy burden" of the power grid to a massive "participant" that supports the safe and eff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06H02J3/38H02J3/28
CPCG06Q10/04G06Q10/0631G06Q10/0637G06Q50/06H02J3/381H02J3/28Y04S10/50
Inventor 葛乐杨雄伏祥运袁晓冬陈兵费骏韬吴楠方鑫柳丹周建华
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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