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A virtual power plant capacity optimization configuration method

A technology of capacity optimization configuration and virtual power plant, applied in data processing applications, forecasting, instruments, etc., can solve the problem of not considering the uncertainty and risk of investors, and achieve the goal of increasing electricity sales revenue, improving economy, and smoothing output fluctuations. Effect

Active Publication Date: 2021-10-29
HOHAI UNIV
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AI Technical Summary

Problems solved by technology

Moreover, most of the current research on VPP focuses on scheduling and operation, and few studies consider the integration of VPP planning and operation.
Furthermore, most studies of planning do not take into account the risk of uncertainty investors face in terms of returns

Method used

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  • A virtual power plant capacity optimization configuration method
  • A virtual power plant capacity optimization configuration method
  • A virtual power plant capacity optimization configuration method

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0118] Such as Figure 1-5 As shown, a virtual power plant capacity optimization configuration method includes the following steps:

[0119] Step 1: Analyze and model the typical structure and function of VPP;

[0120]Step 2: Simulate the uncertain factors in VPP with scenario technology;

[0121] Step 3: Establish the objective function of the VPP multi-power supply capacity allocation model that only considers the system cost;

[0122] Step 4: Based on the portfolio theory and risk measurement method, add conditional value-at-risk to the objective function of the above-mentioned VPP multi-power supply capacity allocation model to measure risk, and classify the risk coefficient corresponding to investors with different levels of risk preference;

[0123] Step 5: According to the objective function obtained in the above steps, combined with various constraints in the actual operation of VPP, an integrated model of VPP planning and operation is established.

[0124] The typi...

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Abstract

The present invention proposes a risk-considered virtual power plant capacity optimization configuration method, using CVaR to measure the risks brought by renewable energy output and market electricity price uncertainty to the planned VPP; in the objective function of planning and constructing the VPP, multiply CVaR by a The weight coefficient is used to measure the investor's risk preference level. At the same time, taking into account various constraints in the real-time operation of VPP, an optimal allocation model of multi-power capacity of virtual power plants is established considering the conditional risk value. This model quantifies the risks caused by various uncertain factors in the planning, construction and operation of VPP by investors, and provides an optimal configuration plan for multiple power supply capacities. On this basis, the present invention also discusses the different strategies that investors with different risk preferences face when planning and constructing VPPs in the face of multi-power supply capacity allocation. Quantitative evidence is provided for the allocation of multiple power supply capacities.

Description

technical field [0001] The invention belongs to the field of power system operation and planning, and in particular relates to a capacity optimization configuration method of a virtual power plant. Background technique [0002] With the increasing consumption of fossil energy worldwide, environmental problems have become increasingly prominent. Distributed generators (DG), which use renewable energy sources (RES) to generate electricity, have attracted more and more attention due to their economical, efficient, and environmentally friendly characteristics, and have gradually become the main direction of global energy development in the future. . However, renewable energy power generation is highly random and intermittent, difficult to manage and will pose a greater threat to the safe and stable operation of the power grid after access. [0003] In order to effectively solve the difficulties brought about by the grid-connection of distributed power sources and realize the c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0635G06Q50/06Y04S10/50
Inventor 卫志农陈妤
Owner HOHAI UNIV
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