Multi-time-scale optimization scheduling method considering flexible load and ESS-SOP

A multi-time-scale, flexible load technology, applied to load forecasting in AC networks, selective AC load connection devices, climate sustainability, etc. To achieve good economic benefits, suppress voltage fluctuations and load fluctuations, and improve effectiveness and accuracy

Active Publication Date: 2021-08-10
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0004] The traditional scheduling method only models on the day-ahead scale, and cannot make full use of the response capability and response characteristics of flexible loads on multiple time scales
As the prediction time increases, the prediction error increases, and the day-ahead scheduling plan often deviates from the actual situation.

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  • Multi-time-scale optimization scheduling method considering flexible load and ESS-SOP
  • Multi-time-scale optimization scheduling method considering flexible load and ESS-SOP
  • Multi-time-scale optimization scheduling method considering flexible load and ESS-SOP

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Embodiment Construction

[0115] The present invention will be further described below in conjunction with the accompanying drawings.

[0116] refer to Figure 1 to Figure 5 , a multi-time-scale optimal scheduling method considering flexible load and ESS-SOP, including the following steps:

[0117] S1: Construct the flexible load and ESS-SOP model of the system, divide the flexible load into translational, transferable and cutable loads, and initialize the system to obtain original data;

[0118] S2: In the day-ahead stage, quantitatively analyze the dynamic process of various flexible loads and ESS-SOP collaborative scheduling, and obtain the flexible load change period and ESS-SOP output plan;

[0119] S3: Enter intraday optimization with a cycle of 24 hours and an optimization step of 0.5 hours. The shiftable load and transferable load decision-making amount obtained from step S2 is regarded as the reference value, and coordinated and optimized with other controllable resources to obtain the optimal ...

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Abstract

The invention discloses a multi-time-scale optimization scheduling method considering a flexible load and an ESS-SOP, and the method comprises the steps: constructing a flexible load and ESS-SOP model, and initializing a system to obtain original data; performing quantitative analysis on various flexible loads and a dynamic process of ESS-SOP cooperative scheduling, and obtaining a flexible load change time period and an ESS-SOP output plan; performing rolling optimization on a control time domain by taking a translational load and a transferable load decision quantity obtained in the past as reference values, and correcting other controllable variables in the system to obtain an optimal scheduling strategy of the ESS; and according to the updated photovoltaic and fan output and load prediction data, linking intra-day rolling optimization, and performing real-time feedback adjustment on the issued optimization instruction of the first time period. According to the invention, the response characteristics of the flexible load and the ESS-SOP on different time scales are efficiently coordinated, the peak-valley difference is effectively stabilized, the voltage and load fluctuation is smoothed, and the operation economy and stability of the power distribution network are improved to a certain extent.

Description

technical field [0001] The invention relates to a multi-time scale optimal scheduling method considering flexible load and ESS-SOP. Background technique [0002] Under the background of global energy resource shortage and environmental pollution, vigorously developing green, low-carbon and sustainable energy has become the consensus of all countries in the world. As one of the important means of renewable energy utilization, after a large number of distributed renewable energy sources (DRES) are connected to the distribution network, problems such as volatility, intermittency, and low controllability will bring serious problems to the safe and reliable operation of the distribution network. Great challenge. Therefore, how to fully consider the operation control characteristics of various DRES and give full play to the complementary advantages of various resources, so as to formulate an optimization scheme suitable for the operation mode of active distribution network is of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/14
CPCH02J3/0075H02J3/007H02J3/144H02J3/003H02J2203/20Y04S20/222
Inventor 张有兵张凯怡张芝鑫徐崇博张瑜
Owner ZHEJIANG UNIV OF TECH
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