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
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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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