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Day-ahead energy scheduling algorithm for wind and light storage micro-grid

A technology of energy dispatching and microgrid, applied in photovoltaic power generation, power generation prediction and calculation in AC network, etc., can solve the problems of increasing system operating cost and reducing microgrid system revenue, so as to reduce operating cost and improve stability , the effect of improving economic efficiency

Active Publication Date: 2022-01-11
NANTONG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, although this measure can prolong the service life of the energy storage battery, the grid connection measure will also increase the operating cost of the system and reduce the revenue of the microgrid system

Method used

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  • Day-ahead energy scheduling algorithm for wind and light storage micro-grid
  • Day-ahead energy scheduling algorithm for wind and light storage micro-grid
  • Day-ahead energy scheduling algorithm for wind and light storage micro-grid

Examples

Experimental program
Comparison scheme
Effect test

specific example 1

[0056] Step 3-1. Calculate the initial energy storage state of charge change plan curve according to formula (3) and the energy storage initial power exchange plan sequence. The initial energy storage state of charge change curve is as follows: figure 2 As shown in (c), if the difference between the maximum value and the minimum value of the state of charge in the initial state of charge change curve is less than 60%, enter step 3-2;

[0057] Step 3-2. Scan the entire initial state of charge sequence of the energy storage, and find that the maximum value of the state of charge is 88%. Therefore, it is necessary to correct the peak value of the energy storage, and calculate the corrected charge by formula (2) and formula (3). State of charge plan curve and energy storage power exchange plan sequence, repeat step 3-2 until the maximum state of charge does not exceed 80%;

[0058] Step 3-3. Re-scan the SOC planning curve corrected in step 3-2. At the same time, obtain the sampli...

specific example 2

[0068] Step 3-1, calculate the initial energy storage state of charge change curve according to formula (3) and the energy storage initial power exchange plan sequence, the initial energy storage state of charge change curve is as follows image 3 As shown in (c), if the difference between the maximum value and the minimum value of the state of charge in the initial state of charge change curve is less than 60%, go to step 3-2.

[0069] Step 3-2, scan the entire energy storage initial state of charge sequence, and go to step 3-3 if there is no state of charge exceeding the limit point.

[0070] In step 3-3, re-scan the SOC curve corrected in step 3-2, and at the same time, obtain the time period of the sampling point where the low electricity consumption and the peak electricity consumption are located in the next scheduling cycle. from image 3 It can be seen from (a) that the low power consumption period is between 0:00 and 5:00, and the peak power consumption period is betwe...

specific example 3

[0073] Step 3-1, calculate the initial energy storage state of charge change curve according to formula (3) and the energy storage initial planned power sequence, the initial energy storage state of charge change curve is as follows Figure 4 As shown in (c), if the difference between the maximum value and the minimum value of the state of charge in the initial state of charge change curve is less than 60%, go to step 3-2.

[0074] Step 3-2: Scan the entire initial state of charge sequence of the energy storage, and find that the maximum value of the state of charge is 85.6%. Therefore, the peak value of the energy storage needs to be corrected, and the corrected charge can be calculated by formula (2) and formula (3). Electricity state curve and energy storage power exchange plan sequence. Repeat step 3-2 until the maximum state of charge does not exceed 80%.

[0075] Step 3-3: re-scan the SOC curve corrected in step 3-2, and at the same time, obtain the time period of the s...

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Abstract

The invention discloses a day-ahead energy scheduling algorithm for a wind and light storage micro-grid. The algorithm comprises the following steps: predicting power data and load prediction demand data by using wind and light; planning behavior control and grid connection time period setting through charging and discharging power of an energy storage battery; and designing an energy throughput plan curve of the energy storage battery to ensure that the chargeable and dischargeable capacity of the energy storage battery does not exceed the limit in the daily operation process and the micro-grid load reliably supplies power. Meanwhile, the economic benefit of the micro-grid system and the power supply pressure at the load peak period of the public power grid are considered; the algorithm is combined with the predicted change of the state of charge of the battery to make energy throughput plan correction; and if the total amount of the wind-solar power generation capacity has surplus in the scheduling period, the algorithm comprehensively considers the grid-connected discharge capacity of the energy storage battery according to the surplus electric quantity and the minimum value of the charge state change process, and releases electric energy to the public power grid in the midday and night power utilization peak. New energy utilization is fully considered, normal power supply of the microgrid load is ensured on the premise of healthy work of the energy storage battery, and the power supply pressure of the public power grid is reduced.

Description

technical field [0001] The invention relates to the technical field of new energy power generation system control, in particular to a day-ahead energy scheduling algorithm for a wind-solar-storage micro-grid. Background technique [0002] The use of renewable energy such as wind and solar has alleviated the increasingly serious energy crisis and environmental degradation to a certain extent. However, the inherent intermittent and uncertain characteristics of wind and solar energy have a great impact on the stable operation of the load side. The combination of energy storage system and wind-solar hybrid power generation system can improve the utilization rate of new energy, improve the acceptance of new energy by the public grid, and ensure the stable operation of load. However, the energy storage battery in the energy storage system is limited by its inherent life, which increases the operating cost of the microgrid system. In addition, improper charging and discharging be...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06H02J3/00H02J3/32H02J3/38
CPCG06Q10/06315G06Q10/04G06Q50/06H02J3/003H02J3/004H02J3/381H02J3/32H02J2300/24H02J2300/28Y02E10/56Y02E70/30
Inventor 朱建红任浩锋顾菊平赵佳皓张鹏坤蒋凌
Owner NANTONG UNIVERSITY
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