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Multi-microgrid random prediction control method

A predictive control and multi-microgrid technology, applied in forecasting, market forecasting, instruments, etc., can solve problems such as not taking it into account, less consideration of renewable energy output, and affecting the operation of microgrids

Inactive Publication Date: 2020-12-18
国网浙江海宁市供电有限公司 +1
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AI Technical Summary

Problems solved by technology

[0003] In the existing inventions about multi-microgrid energy management strategies, there are the following problems: (1) The existing inventions are mainly aimed at microgrids with electricity as the single energy source, and less consideration is given to microgrids containing multiple energy forms (2 ) did not analyze the renewable energy output and thermoelectric load uncertainty in the system and did not take them into account in the proposed algorithm
[0004] Wind power and photovoltaic power generation have a high degree of uncertainty, which seriously affects the actual operation of the microgrid. At the same time, the electrical load and thermal load in the system are also subject to certain uncertainty due to the influence of weather and human factors.

Method used

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Embodiment Construction

[0073] The present invention will be further described below in conjunction with the accompanying drawings.

[0074] refer to figure 1 , a multi-microgrid stochastic predictive control method, comprising the following steps:

[0075] 1) Establish a multi-microgrid system framework

[0076] Under the stochastic predictive control framework, the operation and management of multi-microgrids are coordinated. The multi-microgrid system includes M heterogeneous microgrids. Equations (1)-(4) are the dynamic equations of each microgrid:

[0077]

[0078]

[0079]

[0080]

[0081] In the formula: z i (t) is the state of charge (State of charge, SOC) of the energy storage system in microgrid i at time t; P ESS,i (t) is the charging and discharging power of the energy storage system in the microgrid i at time t; C ESS,i is the charging and discharging coefficient of the energy storage system in the microgrid i; and Respectively, the power purchase and sale power of m...

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Abstract

The invention discloses a multi-microgrid random prediction control method, and the method comprises the steps: carrying out the modeling of the uncertainty of renewable energy power generation and anelectric heating load through the joint probability constraint of electricity selling and purchasing and gas purchasing in a system; adopting a decomposition method to decompose a joint probability constraint with coupling into M opportunity constraints, and adopting opportunity constraint prediction control to replace the opportunity constraints with deterministic constraints considering uncertain parameter statistical characteristics. In the energy management control strategy provided by the invention, the influence of uncertainty of renewable energy sources and uncertainty of loads in thesystem on the system is considered in the form of system electricity selling and purchasing and gas purchasing quantity joint probability constraints. Meanwhile, the permeability of renewable energy in the microgrid is higher and higher, so that the strategy can enable the behavior of the interconnected microgrid to be more predictable from the perspective of a main network, and the complexity ofan energy management system is reduced.

Description

technical field [0001] The invention relates to a multi-microgrid random predictive control method. Background technique [0002] Model Predictive Control (MPC) is one of the most successful control strategies currently concerned by the power system community. The ability of MPC to consider system characteristics and operating constraints, and to consider future predictions of system behavior and closed-loop control strategies makes it an attractive control strategy for power system applications. [0003] In the existing inventions about multi-microgrid energy management strategies, there are the following problems: (1) The existing inventions are mainly aimed at microgrids with electricity as the single energy source, and less consideration is given to microgrids containing multiple energy forms (2 ) did not analyze the renewable energy output and thermoelectric load uncertainty in the system and did not take them into account in the proposed algorithm. [0004] Wind powe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q50/06G06Q10/04
CPCG06Q30/0206G06Q50/06G06Q10/04Y04S10/50Y04S50/14
Inventor 肖龙海邬成锋张群艳汤化国顾华东朱新王晓明刘闯
Owner 国网浙江海宁市供电有限公司
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