Hierarchical optimization method for active power distribution network based on second-order cone programming and demand side management

A technology of demand side management and active distribution network, applied in the field of power system, to achieve the effect of reducing network loss, reducing electricity cost, and alleviating power supply pressure

Pending Publication Date: 2022-07-29
NANCHANG UNIV
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Problems solved by technology

[0002] Under the background of the power market environment and "dual carbon", the traditional distribution n

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  • Hierarchical optimization method for active power distribution network based on second-order cone programming and demand side management
  • Hierarchical optimization method for active power distribution network based on second-order cone programming and demand side management
  • Hierarchical optimization method for active power distribution network based on second-order cone programming and demand side management

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Embodiment Construction

[0077] The present invention is further clarified below with reference to specific embodiments and accompanying drawings. The present invention proposes a layered optimization method for an active distribution network based on second-order cone planning and demand-side management, and an active distribution network that takes into account demand-side management. models such as figure 1 In order to coordinate the decision-making and management of the user layer and the distribution network layer and realize the optimal operation of the system, an active distribution network model with DSM is established. The active distribution network structure diagram is shown in Fig. figure 2 As shown, the flow chart of the active distribution network hierarchical optimization method considering demand side management is shown in Fig. image 3 The specific implementation steps are as follows:

[0078] (1) Establish an active distribution network optimization model

[0079] Active distribu...

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Abstract

The invention discloses an active power distribution network hierarchical optimization method based on second-order cone programming and demand side management. The user layer divides the load into peak-valley-normal periods, determines peak-valley electricity prices, and makes different management means for different load types to achieve a peak-clipping and valley-filling effect; the power distribution network layer takes the minimum network loss as a target, considers the control of active regulation and control objects such as photovoltaic power generation, wind power generation, an energy storage system, a static var compensator and a grouped switched capacitor bank, and converts the optimal power flow problem into a second-order cone programming model by a second-order cone relaxation technology. According to the method provided by the invention, peak clipping and valley filling can be realized by performing different demand side management on different loads, the power supply pressure of the system is relieved, and the active power distribution network hierarchical optimization model considering the demand side management not only can effectively reduce the network loss of the system, but also can reduce the power consumption cost of users.

Description

technical field [0001] The invention belongs to the technical field of electric power systems, and in particular relates to an active distribution network hierarchical optimization method based on second-order cone planning and demand side management. Background technique [0002] In the context of the electricity market environment and "dual carbon", the traditional power supply method of distribution network has been unable to meet the requirements of users and social development. While ensuring reliable power consumption by users, it is imperative to ensure the benefits of power supply companies and improve energy utilization efficiency. Must do. The operation of the active distribution network implements active management based on the existing grid-connected energy sources to ensure that users use electricity. The user's electricity consumption habits determine the operation and scheduling mode of the distribution network. Scientific and effective management of demand-si...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q30/02G06Q50/06
CPCG06Q10/04G06Q10/06312G06Q30/0283G06Q50/06
Inventor 杨晓辉邓福伟张钟炼汤丑焱胡誉尹吴俊涛
Owner NANCHANG UNIV
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