Distributed type optimal scheduling modeling method for wind power integration system containing virtual power plant

A technology of virtual power plants and modeling methods, applied in wind power generation, electrical components, circuit devices, etc., can solve privacy and security issues, low efficiency of information interaction, and affect the efficiency of optimization, etc., to reduce system operating costs and promote wind power. The effect of absorbing and improving the efficiency of optimization

Inactive Publication Date: 2018-11-13
NORTHEAST DIANLI UNIVERSITY
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  • Application Information

AI Technical Summary

Problems solved by technology

For the large-scale wind power grid-connected system considering DR-VPP, the traditional centralized optimal scheduling performs centralized calculation and control in the system dispatching center according to the change of supply and demand, which requires a lot of information interaction, and the efficiency of information interaction is low due to the influence of the grid structure ,...

Method used

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  • Distributed type optimal scheduling modeling method for wind power integration system containing virtual power plant
  • Distributed type optimal scheduling modeling method for wind power integration system containing virtual power plant
  • Distributed type optimal scheduling modeling method for wind power integration system containing virtual power plant

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Experimental program
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Embodiment 1

[0055] The embodiment of the present invention establishes a centralized economic dispatching model of a wind power grid-connected system including IBDR-VPP. IBDR-VPP participates in the centralized economic dispatch of the wind power grid-connected system through load aggregation, which improves the dispatching mode of the power system relying solely on the power generation side and reduces the pressure on the dispatching of the power grid. IBDR-VPP not only facilitates large-scale wind power consumption, but also reduces the operating cost of the power system by shifting loads on the load side through peak shaving and valley filling. Model building includes the following steps:

[0056] 101: Build a demand response virtual power plant model:

[0057] According to different response mechanisms, demand response can be divided into incentive-based demand response (IBDR) and price-based demand response (price-sensitive demand response, PSDR). Incentive policy, establish an inc...

Embodiment 2

[0079] When the above-mentioned centralized economic dispatch model of wind power grid-connected system including IBDR-VPP performs centralized calculation in the system dispatch center, a large amount of information transmission will reduce the system computing efficiency and dispatch flexibility. Therefore, the embodiment of the present invention utilizes the flexibility, independence and high efficiency of ADMM to solve the distributed optimization scheduling problem, and establishes the distributed day-ahead economic scheduling model of the wind power grid-connected system based on ADMM including IBDR-VPP. Below in conjunction with concrete calculation formula, accompanying drawing, the scheme in embodiment 1 is further introduced:

[0080] 201: alternating direction multiplier method;

[0081] The idea of ​​ADMM is to decompose the original variable into different variables x and z, and the objective function is also composed of two parts to ensure the decomposability of ...

Embodiment 3

[0106] The following combined with specific examples, Figure 5-11 , and tables 1-6 carry out feasibility verification to the scheme in embodiment 1 and 2, see the following description for details:

[0107] 301: 6-node test system

[0108] Table 1 generator data

[0109]

[0110] Table 2 Line data

[0111]

[0112] This example takes the 6-node test system as an example for analysis and verification, and uses Figure 5 Take the 6-node test system in the test system as an example for analysis. The system includes 2 generator nodes and 3 load nodes. The specific system parameters are shown in Table 1 and 2.

[0113] Image 6 Forecast the total load and forecast wind power output for the system within 24 hours. The predicted hourly total load is evenly distributed to the load nodes L1, L2, and L3 to obtain the load value of each node in each period. A distributed day-ahead economic scheduling model considering wind power and IBDR-VPP is established for the 6-node tes...

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Abstract

The invention discloses a distributed type optimal scheduling modeling method for a wind power integration system containing a virtual power plant. The method comprises the steps: obtaining a quadratic function of the load change quantity of response cost containing a stimulant type demand response virtual power plant; adding the quadratic function and wind power cost into a thermal power generating unit economic dispatch objective function, adding wind power output and the load change quantity into a node power balance equation and guiding into wind power output constraint and load change quantity constraint; establishing an integrated economic dispatch model of the wind power integration system containing the stimulant type demand response virtual power plant and utilizing the minimum total coast of the wind power integration system as a target; based on the model, utilizing a general consistency optimizing method of an ADMM to partition a single-zone system, establishing a distributed type day-ahead economic dispatch model of the wind power integration system containing the stimulant type demand response and resolving the model. By means of the distributed type optimal scheduling modeling method, a mode that a power system singly relies on generation side dispatch is improved, burden of power grid dispatch is reduced, large-scale wind power absorption is facilitated, and operation cost is reduced.

Description

technical field [0001] The invention relates to the field of distributed optimal scheduling of power systems, in particular to a modeling method for distributed optimal scheduling of wind power grid-connected systems including virtual power plants. Background technique [0002] As a clean renewable energy source, wind power participates in system scheduling with conventional units, which is of great significance to energy saving and emission reduction of power systems. However, wind power has volatility and randomness. With the continuous increase of its grid-connected capacity, it is difficult to achieve efficient consumption of large-scale wind power only by dispatching at the power generation side. In order to quickly respond to changes in power supply output and increase users' enthusiasm for participating in dispatching, a demand response (DR) mechanism can be introduced on the load side to directly or indirectly control or transfer the load on the demand side, so as to...

Claims

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Application Information

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IPC IPC(8): H02J3/38
CPCH02J3/386H02J2203/20Y02E10/76
Inventor 陈厚合姜涛张儒峰李雪王子璇李国庆张嵩王长江
Owner NORTHEAST DIANLI UNIVERSITY
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