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A multi-time-scale optimal 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. characteristics and other issues, to achieve the effects of voltage fluctuation and load fluctuation suppression, good economic benefits, and reduction in the cost of purchasing and selling electricity

Active Publication Date: 2022-06-17
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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  • A multi-time-scale optimal scheduling method considering flexible load and ess-sop
  • A multi-time-scale optimal scheduling method considering flexible load and ess-sop
  • A multi-time-scale optimal scheduling method considering flexible load and ess-sop

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Embodiment Construction

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

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

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

[0118] S2: In the previous 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 the intraday optimization, the cycle is 24h, and the optimization step is 0.5h. The shiftable load and the transferable load decision amount obtained in step S2 are regarded as the reference value, and the optimal scheduling of the ESS is obtained by coordinating and optimizing with other controllabl...

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Abstract

A multi-time-scale optimal scheduling method considering flexible loads and ESS‑SOP, constructing flexible load and ESS‑SOP models, initializing the system to obtain original data; quantitatively analyzing the dynamic process of various flexible loads and ESS‑SOP collaborative scheduling, Obtain the flexible load change period and ESS-SOP output plan; take the shiftable load and transferable load decision-making quantity as the benchmark value, carry out rolling optimization on the control time domain, correct the remaining controllable variables in the system, and obtain the ESS maximum Optimal dispatching strategy; according to the updated photovoltaic, wind turbine output and load forecast data, the daily rolling optimization is connected, and the first-period optimization command is issued for real-time feedback and adjustment. The invention efficiently coordinates the response characteristics of the flexible load and ESS-SOP on different time scales, effectively smoothes the peak-to-valley difference, moderates voltage and load fluctuations, and improves the operation economy and stability of the distribution network 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] Against the background of global shortage of energy resources 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, the problems of volatility, intermittency, and low controllability bring about the safe and reliable operation of the distribution network. Great challenge. Therefore, how to fully take into account the operation control characteristics of various DRES, give full play to the advantages and complementarity of various resources, and formulate an optimization scheme that adapts to the active distribution network operation mode is of great si...

Claims

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Application Information

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Patent Type & Authority Patents(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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