Resident load distributed coordination control method considering dynamic hot spot temperature of transformer

A technology of distributed coordination and hotspot temperature, applied in instrumentation, constraint-based CAD, special data processing applications, etc.

Pending Publication Date: 2021-02-09
SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Although the centralized structure is convenient to use the complete information of the entire system to obtain the best

Method used

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  • Resident load distributed coordination control method considering dynamic hot spot temperature of transformer
  • Resident load distributed coordination control method considering dynamic hot spot temperature of transformer
  • Resident load distributed coordination control method considering dynamic hot spot temperature of transformer

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Embodiment

[0077] The present invention provides a distributed coordinated control method for residential loads considering the dynamic hot spot temperature of transformers, which specifically includes the following contents:

[0078] 1. Rolling optimization model

[0079] 1.1 Optimization problem model

[0080] The present invention establishes the following rolling optimization model of residential load electricity consumption:

[0081]

[0082]

[0083]

[0084]

[0085] In the formula: i=1...N is the number of flexible loads, t is the scheduling cycle, M is the length of the rolling optimization time domain, t 0 is the start time of the scheduling period.

[0086] In the objective function (1a), the first item is the total power purchase cost of the distribution network, where μ t is the electricity price, P T,t is the transformer power; item 2 Reflects the aging cost of the transformer, where, is the winding HST; the third item ω(s i,t ) represents the satisfact...

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Abstract

The invention relates to a resident load distributed coordination control method considering the dynamic hot spot temperature of a transformer. The method comprises the following steps: 1) constructing a resident load electricity utilization rolling optimization model according to a transformer aging model and a resident load model; and 2) carrying out modular decomposition on a centralized problem of the resident load electricity utilization rolling optimization model, introducing a Lagrange multiplier vector, solving the centralized problem by adopting a distributed algorithm, and finally obtaining an optimal coordination control scheme. Compared with the prior art, the method has the advantages that the operation economy of a power distribution network is improved, safe operation of thetransformer is guaranteed, intelligent dynamic blocking management is achieved, load privacy data does not need to be collected, coordination control over large-scale loads is adapted, and the difference of the loads is embodied.

Description

technical field [0001] The invention relates to the field of coordinated control of residential loads, in particular to a distributed coordinated control method for residential loads considering the dynamic hot spot temperature of transformers. Background technique [0002] With the steady growth of air-conditioning load and the explosive growth of electric vehicle (electric vehicle, EV) load, the problem of seasonal peak load and periodical peak load of power grid has become more prominent, and the congestion of distribution network has become more and more serious. Coordinated control of user-side flexible loads is an economical and effective means to solve the blocking problem. However, most of the existing congestion management only takes the transformer capacity as a fixed and limited target, without considering its aging factor. In fact, transformer life loss is mainly related to its winding hot-spot temperature (HST), and HST has a complex nonlinear relationship with...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F111/04G06F113/04G06F119/08
CPCG06F30/20G06F2111/04G06F2113/04G06F2119/08
Inventor 赵建立张沛超韩赫
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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