An energy scheduling method and terminal for reducing backflow power

Abstract

The application discloses an energy scheduling method and terminal for reducing reverse current power, collects power of a power grid side and PCS power, calculates a reference value of power to be currently issued to the PCS based on a peak clipping and valley filling strategy to obtain a current reference value, acquires a historical reference value, the historical reference value being the power actually issued to the PCS last time, calculates an adjustment parameter according to the current reference value and the historical reference value, calculates optimized power in combination with the adjustment parameter, and issues the optimized power to the PCS, and the application collects power of a power grid side and PCS power, calculates power to be currently issued to the PCS to obtain a current reference value, introduces an adjustment parameter, which is calculated in combination with the current reference value and the power actually issued to the PCS last time, corrects and optimizes the current reference value in combination with the adjustment parameter and the historical reference value, reduces the reverse current caused by frequent fluctuations of the power issued to the PCS in a short term, reduces reverse current power, and reduces reverse current power.

Description

Technical Field

[0001] The present invention relates to the field of power control technology, and in particular to an energy scheduling method and terminal for reducing reverse flow power. Background Art

[0002] Due to the continuous reduction of traditional energy and environmental pollution, the utilization and development of new energy have been raised to a new level. The expansion of industrial and commercial energy storage batteries and the storage of new energy power generation are becoming more and more common. At stations on the user side that are not allowed to feed power to the grid, due to the multiple loads and power generation equipment on the user side, the EMS energy dispatching system does not have the ability to directly communicate with the power generation equipment and load equipment on the user side. How to reduce or avoid the backflow of power to the grid through energy storage battery peak shaving and valley filling energy dispatching is particularly important in the EMS energy dispatching management strategy.

[0003] In energy storage systems where the EMS does not directly communicate with loads or power generation equipment, the EMS collects grid-side power and PCS power, and calculates the current overall power on the user side using the formula: P(power consumption side) = -(P(grid) + P(PCS)). Combined with the actual peak-shaving and valley-filling strategy on site, the upcoming PCS setting power P(control) is calculated.

[0004] This logic calculates P(power consumption) based on the currently collected P(grid) and P(PCS). Due to differences in the data collection frequencies of the electricity meters and PCS devices themselves, the program collects P(grid) and P(PCS) in a temporal sequence. As a result, the calculated P(power consumption) value fluctuates when the power on the power consumption side changes, causing the issued P(control) value to fluctuate frequently in the short term. As a result, when the power consumption on the user side is greater than the power required by the user side, reverse flow occurs. When the power on the user side is generated, the battery power absorbed is less than the power generated by the user side, resulting in reverse flow. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide an energy scheduling method and terminal for reducing reverse flow power, which can effectively reduce the reverse flow amount and reduce the reverse flow power.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0007] An energy scheduling method for reducing reverse flow power comprises the steps of:

[0008] S1. Collect the grid-side power and PCS power, calculate the reference value of the power that should be sent to the PCS based on the peak shaving and valley filling strategy, and obtain the current reference value;

[0009] S2. Obtain a historical reference value, where the historical reference value is the power actually delivered to the PCS the most recently.

[0010] S3. Calculate adjustment parameters according to the current reference value and the historical reference value, calculate optimized power in combination with the adjustment parameters, and send the optimized power to the PCS.

[0011] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0012] An energy dispatching terminal for reducing reverse flow power includes a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0013] S1. Collect the grid-side power and PCS power, calculate the reference value of the power that should be sent to the PCS based on the peak shaving and valley filling strategy, and obtain the current reference value;

[0014] S2. Obtain a historical reference value, where the historical reference value is the power actually delivered to the PCS the most recently.

[0015] S3. Calculate adjustment parameters according to the current reference value and the historical reference value, calculate optimized power in combination with the adjustment parameters, and send the optimized power to the PCS.

[0016] The beneficial effects of the present invention are as follows: an energy scheduling method and terminal for reducing reverse flow power of the present invention collects grid-side power and PCS power, calculates the power that should be currently sent to the PCS based on the peak shaving and valley filling strategy, obtains the current reference value, introduces adjustment parameters, combines the current reference value and the most recent actual power sent to the PCS, that is, the historical reference value, calculates the adjustment parameters, and corrects and optimizes the current reference value in combination with the adjustment parameters and the historical reference value, effectively reducing the reverse flow caused by frequent fluctuations in the power sent to the PCS in the short term, reducing the reverse flow amount, and reducing the reverse flow power. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a flow chart of an energy scheduling method for reducing reverse flow power according to an embodiment of the present invention;

[0018] Figure 2 This is a structural diagram of an energy scheduling terminal for reducing reverse flow power according to an embodiment of the present invention;

[0019] Figure 3 Detailed flow chart of an energy scheduling method for reducing reverse flow power according to an embodiment of the present invention;

[0020] Description of labels:

[0021] 1. An energy dispatching terminal for reducing reverse flow power; 2. A processor; 3. A memory. DETAILED DESCRIPTION

[0022] To illustrate the technical content, achieved objectives and effects of the present invention in detail, the following description is given in conjunction with the embodiments and accompanying drawings.

[0023] Please refer to Figure 1 as well as Figure 2 , an energy scheduling method for reducing reverse flow power, comprising the steps of:

[0024] S1. Collect the grid-side power and PCS power, calculate the reference value of the power that should be sent to the PCS based on the peak shaving and valley filling strategy, and obtain the current reference value;

[0025] S2. Obtain a historical reference value, where the historical reference value is the power actually delivered to the PCS the most recently.

[0026] S3. Calculate adjustment parameters according to the current reference value and the historical reference value, calculate optimized power in combination with the adjustment parameters, and send the optimized power to the PCS.

[0027] From the above description, it can be seen that the beneficial effects of the present invention are: an energy scheduling method and terminal for reducing reverse flow power of the present invention, by collecting grid-side power and PCS power, calculates the power that should be currently sent to the PCS based on the peak shaving and valley filling strategy, obtains the current reference value, introduces adjustment parameters, combines the current reference value and the most recent actual power sent to the PCS, that is, the historical reference value, calculates the adjustment parameters, and corrects and optimizes the current reference value in combination with the adjustment parameters and the historical reference value, effectively reducing the reverse flow caused by frequent fluctuations in the power sent to the PCS in the short term, reducing the reverse flow amount, and reducing the reverse flow power.

[0028] Furthermore, the calculation of the adjustment parameter C is specifically as follows:

[0029]

[0030] Among them, P(control) represents the current reference value, and P'(control) represents the historical reference value.

[0031] From the above description, we can see that considering how to timely absorb the corresponding power in the energy storage battery when the user side generates electricity, and how to ensure that the energy storage battery can meet the power supply requirements and reduce fluctuations when the equipment acquisition frequency is inconsistent and not discharge too much to cause reverse current when the user side consumes power, the anti-reverse current smoothing scheduling power coefficient is introduced, that is, the adjustment parameter C. The calculation of the adjustment parameter is shown above, and it is calculated based on the difference between the current reference value and the historical reference value.

[0032] Furthermore, the step S3 of calculating the optimized power in combination with the adjustment parameters is specifically as follows:

[0033] The historical reference value P'(control) is judged and compared with the current reference value P(control). If P'(control)>0, P(control)>0, and P(control)>P'(control), the calculation of the optimized power P(R) is:

[0034] P(R)=(P(control)-P'(control))×C+P'(control);

[0035] If P'(control) < 0, P(control) < 0, and P(control) > P'(control), the calculation of the optimized power P(R) is:

[0036] P(R)=(P'(control)-P(control))×(1-C)+P(control);

[0037] If P'(control) < 0 and P(control) > 0, the calculation of the optimized power P(R) is:

[0038] P(R)=0;

[0039] In other cases, the calculation of the optimized power P(R) is:

[0040] P(R)=P(control);

[0041] Wherein, C represents the adjustment parameter.

[0042] As can be seen from the above description, based on the values ​​of P'(control) and P'(control), the overall external power consumption / generation situation of the current user side can be known, and specific calculations for optimizing power can be performed. If P'(control)>0 and P'(control)>0 and P'(control)>P'(control), it means that the overall external power consumption of the user side in the current scenario is increasing, and the battery needs to supply power to the user side. If P'(control)<0 and P'(control)<0 and P'(control)>P'(control), it means that the overall external power generation of the user side in the current scenario is decreasing, and the battery needs to absorb the excess power generated by the user side. If P'(control)>0 and P'(control)<0, it means that the overall external power generation of the user side in the current scenario has changed to external power consumption.

[0043] Furthermore, the step S3 of sending the optimized power to the PCS is as follows:

[0044] Determine whether the optimized power P(R)>0. If so, send P(R) to the PCS. Otherwise, calculate:

[0045] P'(R)=P(R)+P(M);

[0046] Send P'(R) as the new optimized power to PCS;

[0047] Where P(M) represents the sum of the station line loss and the system sampling accuracy error power.

[0048] As can be seen from the above description, due to line loss or acquisition accuracy issues, the battery may be insufficiently powered when the user consumes power. Therefore, a coefficient P(M) representing the sum of the station line loss and the system sampling accuracy error power is introduced for further correction.

[0049] Furthermore, the step S1 is specifically as follows:

[0050] Collect the grid-side power P(grid) and PCS power P(PCS), and calculate the current overall power P(consumer-side) on the power consumption side:

[0051] P(power consumption side) = -(P(grid) + P(PCS));

[0052] Based on the peak shaving and valley filling strategy, in the battery priority power supply mode, the current reference value P(control) is calculated as:

[0053] P(control) = P(power side);

[0054] In the mains priority power supply mode, the current reference value P(control) is calculated based on the battery supplementary power P(E) and the maximum allowable power MaxP(grid) of the factory transformer:

[0055]

[0056] From the above description, it can be seen that the current reference value P(control) is based on the peak shaving and valley filling strategy, and is calculated according to the current overall power on the power consumption side, the battery charging power and the maximum allowable power of the factory transformer.

[0057] Please refer to Figure 2 , an energy scheduling terminal for reducing reverse flow power, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are implemented:

[0058] S1. Collect the grid-side power and PCS power, calculate the reference value of the power that should be sent to the PCS based on the peak shaving and valley filling strategy, and obtain the current reference value;

[0059] S2. Obtain a historical reference value, where the historical reference value is the power actually delivered to the PCS the most recently.

[0060] S3. Calculate adjustment parameters according to the current reference value and the historical reference value, calculate optimized power in combination with the adjustment parameters, and send the optimized power to the PCS.

[0061] From the above description, it can be seen that the beneficial effects of the present invention are: an energy scheduling method and terminal for reducing reverse flow power of the present invention, by collecting grid-side power and PCS power, calculates the power that should be currently sent to the PCS based on the peak shaving and valley filling strategy, obtains the current reference value, introduces adjustment parameters, combines the current reference value and the most recent actual power sent to the PCS, that is, the historical reference value, calculates the adjustment parameters, and corrects and optimizes the current reference value in combination with the adjustment parameters and the historical reference value, effectively reducing the reverse flow caused by frequent fluctuations in the power sent to the PCS in the short term, reducing the reverse flow amount, and reducing the reverse flow power.

[0062] Furthermore, the calculation of the adjustment parameter C is specifically as follows:

[0063]

[0064] Among them, P(control) represents the current reference value, and P'(control) represents the historical reference value.

[0065] From the above description, we can see that considering how to timely absorb the corresponding power in the energy storage battery when the user side generates electricity, and how to ensure that the energy storage battery can meet the power supply requirements and reduce fluctuations when the equipment acquisition frequency is inconsistent and not discharge too much to cause reverse current when the user side consumes power, the anti-reverse current smoothing scheduling power coefficient is introduced, that is, the adjustment parameter C. The calculation of the adjustment parameter is shown above, and it is calculated based on the difference between the current reference value and the historical reference value.

[0066] Furthermore, the step S3 of calculating the optimized power in combination with the adjustment parameters is specifically as follows:

[0067] The historical reference value P'(control) is judged and compared with the current reference value P(control). If P'(control)>0, P(control)>0, and P(control)>P'(control), the calculation of the optimized power P(R) is:

[0068] P(R)=(P(control)-P'(control))×C+P'(control);

[0069] If P'(control) < 0, P(control) < 0, and P(control) > P'(control), the calculation of the optimized power P(R) is:

[0070] P(R)=(P'(control)-P(control))×(1-C)+P(control);

[0071] If P'(control) < 0 and P(control) > 0, the calculation of the optimized power P(R) is:

[0072] P(R)=0;

[0073] In other cases, the calculation of the optimized power P(R) is:

[0074] P(R)=P(control);

[0075] Wherein, C represents the adjustment parameter.

[0076] As can be seen from the above description, based on the values ​​of P'(control) and P'(control), the overall external power consumption / generation situation of the current user side can be known, and specific calculations for optimizing power can be performed. If P'(control)>0 and P'(control)>0 and P'(control)>P'(control), it means that the overall external power consumption of the user side in the current scenario is increasing, and the battery needs to supply power to the user side. If P'(control)<0 and P'(control)<0 and P'(control)>P'(control), it means that the overall external power generation of the user side in the current scenario is decreasing, and the battery needs to absorb the excess power generated by the user side. If P'(control)>0 and P'(control)<0, it means that the overall external power generation of the user side in the current scenario has changed to external power consumption.

[0077] Furthermore, the step S3 of sending the optimized power to the PCS is as follows:

[0078] Determine whether the optimized power P(R)>0. If so, send P(R) to the PCS. Otherwise, calculate:

[0079] P'(R)=P(R)+P(M);

[0080] Send P'(R) as the new optimized power to PCS;

[0081] Where P(M) represents the sum of the station line loss and the system sampling accuracy error power.

[0082] As can be seen from the above description, due to line loss or acquisition accuracy issues, the battery may be insufficiently powered when the user consumes power. Therefore, a coefficient P(M) representing the sum of the station line loss and the system sampling accuracy error power is introduced for further correction.

[0083] Furthermore, the step S1 is specifically as follows:

[0084] Collect the grid-side power P(grid) and PCS power P(PCS), and calculate the current overall power P(consumer-side) on the power consumption side:

[0085] P(power consumption side) = -(P(grid) + P(PCS));

[0086] Based on the peak shaving and valley filling strategy, in the battery priority power supply mode, the current reference value P(control) is calculated as:

[0087] P(control) = P(power side);

[0088] In the mains priority power supply mode, the current reference value P(control) is calculated based on the battery supplementary power P(E) and the maximum allowable power MaxP(grid) of the factory transformer:

[0089]

[0090] From the above description, it can be seen that the current reference value P(control) is based on the peak shaving and valley filling strategy, and is calculated according to the current overall power on the power consumption side, the battery charging power and the maximum allowable power of the factory transformer.

[0091] An energy scheduling method and terminal for reducing reverse flow power of the present invention are applicable to scenarios where energy scheduling control is performed at a station on the user side that is not allowed to feed power to the power grid.

[0092] Please refer to Figure 1 and Figure 3 , embodiment 1 of the present invention is:

[0093] An energy scheduling method for reducing reverse flow power comprises the steps of:

[0094] S1. Collect the grid-side power and PCS power, calculate the reference value of the power that should be sent to the PCS based on the peak shaving and valley filling strategy, and obtain the current reference value;

[0095] The step S1 is specifically as follows:

[0096] Collect the grid-side power P(grid) and PCS power P(PCS), and calculate the current overall power P(consumer-side) on the power consumption side:

[0097] P(power consumption side) = -(P(grid) + P(PCS));

[0098] Based on the peak shaving and valley filling strategy, in the battery priority power supply mode, the current reference value P(control) is calculated as:

[0099] P(control) = P(power side);

[0100] In the mains priority power supply mode, the current reference value P(control) is calculated based on the battery supplementary power P(E) and the maximum allowable power MaxP(grid) of the factory transformer:

[0101]

[0102] In this embodiment, the EMS collects the grid-side power and PCS power, and calculates the current overall power on the user side using the formula: P(power consumption side) = -(P(grid) + P(PCS)), and combines the actual peak shaving and valley filling strategy on site to calculate the power P(control) to be set by the PCS.

[0103] In the peak shaving and valley filling strategy, in the priority battery power supply mode, P(control) = |P(power consumption side)|;

[0104] In the priority mains power supply mode, there are:

[0105] a), If MaxP(grid) > P(E) + P(power consumption side), then P(control) = P(E);

[0106] b), If MaxP(grid) < P(E) + P(power consumption side), then P(control) = -|MaxP(grid) - P(power consumption side)|;

[0107] c), If P(power consumption side) > MaxP(grid), then P(control) = P(power consumption side) - MaxP(grid).

[0108] S2. Obtain the historical reference value, where the historical reference value is the power actually sent to the PCS last time.

[0109] S3. Calculate the adjustment parameter according to the current reference value and the historical reference value, and calculate the optimized power in combination with the adjustment parameter, and send the optimized power to the PCS.

[0110] The calculation of the adjustment parameter C is specifically as follows:

[0111]

[0112] Among them, P(control) represents the current reference value, and P'(control) represents the historical reference value.

[0113] In step S3, the calculation of the optimized power in combination with the adjustment parameter is specifically as follows:

[0114] Judge and compare the historical reference value P'(control) and the current reference value P(control). If P'(control) > 0, P(control) > 0, and P(control) > P'(control), then the calculation of the optimized power P(R) is:

[0115] P(R) = (P(control) - P'(control)) × C + P'(control);

[0116] If P'(control) < 0, P(control) < 0, and P(control) > P'(control), then the calculation of the optimized power P(R) is:

[0117] P(R) = (P'(control) - P(control)) × (1 - C) + P(control);

[0118] If P'(control) < 0 and P(control) > 0, then the calculation of the optimized power P(R) is:

[0119] P(R) = 0;

[0120] In other cases, the calculation of the optimized power P(R) is:

[0121] P(R)=P(control);

[0122] Wherein, C represents the adjustment parameter.

[0123] In this embodiment, consideration is given to how the energy storage battery can absorb the corresponding power in a timely manner when power is generated on the user side. In the case of power consumption on the user side, how to ensure that the energy storage battery can meet the power supply requirements and reduce fluctuations when the equipment acquisition frequency is inconsistent, and not discharge too much to cause reverse flow. An anti-reverse flow smoothing scheduling power coefficient C (value range [0,1]) is introduced. It is automatically adjusted according to the difference between P(control) and P'(control). If it is <=100, C=0.5. Otherwise, C=C+0.1 for every 100 increase, with an upper limit of 0.9. If smoothing is not required, it can be set to 1.

[0124] From the calculation process of P(control), it can be seen that P(control)>0 represents user-side power consumption, and P(control)<0 represents user-side power generation. The most recently actually issued optimized power is counted as P'(control).

[0125] If P'(control)>0, P(control)>0, and P(control)>P'(control), it means that the overall external power consumption of the user side in the current scenario is increasing and the power consumption is increasing. The battery needs to supply power to the user side according to the following formula:

[0126] P(R)=(P(control)-P'(control))×C+P'(control);

[0127] The actual PCS power P(R) that should be sent is calculated.

[0128] If P'(control) < 0, P(control) < 0, and P(control) > P'(control), it means that the overall external power consumption of the user side in the current scenario is increasing, and the battery needs to supply power to the user side according to the following formula:

[0129] P(R)=(P'(control)-P(control))×(1-C)+P(control);

[0130] The actual PCS power P(R) that should be sent is calculated.

[0131] If P'(control)<0 and P(control)>0, it means that the user side in the current scenario has changed from external power generation to external power consumption, and then P(R)=0.

[0132] In other cases than the above, P(R)=P(control).

[0133] Please refer to Figure 3 , the second embodiment of the present invention is:

[0134] An energy scheduling method for reducing reverse flow power is different from the first embodiment in that the step S3 of sending the optimized power to the PCS is as follows:

[0135] Determine whether the optimized power P(R)>0. If so, send P(R) to the PCS. Otherwise, calculate:

[0136] P'(R)=P(R)+P(M);

[0137] P'(R) is sent to the PCS as the new optimized power.

[0138] Please refer to Figure 2 , the third embodiment of the present invention is:

[0139] An energy scheduling terminal for reducing reverse flow power includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of an energy scheduling method for reducing reverse flow power in the first or second embodiment above are implemented.

[0140] In summary, the present invention provides an energy scheduling method and terminal for reducing reverse flow power. By collecting grid-side power and PCS power, the power that should be sent to the PCS is calculated based on the peak shaving and valley filling strategy to obtain the current reference value, introduce adjustment parameters, and combine the current reference value and the most recent actual power sent to the PCS, that is, the historical reference value, to calculate the adjustment parameters. The current reference value is corrected and optimized based on the adjustment parameters and the historical reference value, effectively reducing the reverse flow caused by frequent fluctuations in the power sent to the PCS in the short term, reducing the reverse flow amount, and reducing the reverse flow power.

[0141] The above method ensures that the energy storage battery can respond and absorb the reverse flow power in time when the reverse flow occurs on the user side. At the same time, when the user side consumes power, the energy storage battery provides corresponding power and reduces the reverse flow power. At the same time, the power scheduling is relatively smooth, fast and stable.

[0142] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's description and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An energy scheduling method for reducing reverse flow power, characterized in that: Including steps: S1. Collect the grid-side power and PCS power, calculate the reference value of the power that should be sent to the PCS based on the peak shaving and valley filling strategy, and obtain the current reference value; S2. Obtain a historical reference value, where the historical reference value is the power actually delivered to the PCS the most recently. S3. Calculate an adjustment parameter based on the current reference value and the historical reference value, calculate an optimized power based on the adjustment parameter, and send the optimized power to the PCS; The adjustment parameters C The calculation is as follows: ； in, P (Control) indicates the current reference value, P '(control) indicates historical reference value; The calculation of the optimized power in combination with the adjustment parameters in step S3 is specifically as follows: The historical reference value P ' (control) and the current reference value P (Control) Make judgments and comparisons, if P '(control) >0 , P (control) >0 ,and P (Control)> P '(control), then optimize power P ( R ) is calculated as: ； like P '(control) <0 , P (Control) 0 ,and P (Control)> P '(control), then optimize power P ( R ) is calculated as: ； like P '(control) <0 and P (Control)> 0 , then optimize the power P ( R ) is calculated as: ； In other cases, optimize power P ( R ) is calculated as: ； in, C represents the adjustment parameter.

2. The energy scheduling method for reducing reverse flow power according to claim 1, characterized in that: The step S3 of sending the optimized power to the PCS is as follows: Determine whether to optimize power P ( R ) >0 If so, P ( R ) is sent to PCS, otherwise it is calculated: P ＇（ R ）= P(R)+P （ M ）； Will P '( R ) is sent to the PCS as the new optimized power; in, P ( M ) represents the sum of the station line loss and the system sampling accuracy error power.

3. The energy scheduling method for reducing reverse flow power according to claim 1, characterized in that: The step S1 is specifically as follows: Collecting grid-side power P (Grid) and PCS power P ( PCS ), calculate the current overall power of the electricity consumption side P (Electricity side): P (Electricity side) = - ( P (Grid)+ P ( PCS )); Based on the peak shaving and valley filling strategy, in the battery priority power supply mode, the current reference value P The calculation of (control) is: ； In the mains power priority mode, the battery power is adjusted according to the battery P ( E ) and the maximum allowable power of the transformer in the factory MaxP (Grid) Calculate current reference value P (control): 。 4. An energy dispatching terminal for reducing reverse flow power, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the following steps are implemented: S1. Collect the grid-side power and PCS power, calculate the reference value of the power that should be sent to the PCS based on the peak shaving and valley filling strategy, and obtain the current reference value; S2. Obtain a historical reference value, where the historical reference value is the power actually delivered to the PCS the most recently. S3. Calculate an adjustment parameter based on the current reference value and the historical reference value, calculate an optimized power based on the adjustment parameter, and send the optimized power to the PCS; The adjustment parameters C The calculation is as follows: ； in, P (Control) indicates the current reference value, P '(control) indicates historical reference value; The calculation of the optimized power in combination with the adjustment parameters in step S3 is specifically as follows: The historical reference value P ' (control) and the current reference value P (Control) Make judgments and comparisons, if P '(control) >0 , P (control) >0 ,and P (Control)> P '(control), then optimize power P ( R ) is calculated as: ； like P '(control) <0 , P (Control) 0 ,and P (Control)> P '(control), then optimize power P ( R ) is calculated as: ； like P '(control) <0 and P (Control)> 0 , then optimize the power P ( R ) is calculated as: ； In other cases, optimize power P ( R ) is calculated as: ； in, C represents the adjustment parameter.

5. The energy dispatching terminal for reducing reverse power according to claim 4, characterized in that: The step S3 of sending the optimized power to the PCS is as follows: Determine whether to optimize power P ( R ) >0 If so, P ( R ) is sent to PCS, otherwise it is calculated: P ＇（ R ）= P(R)+P （ M ）； Will P '( R ) is sent to the PCS as the new optimized power.

6. The energy dispatching terminal for reducing reverse flow power according to claim 4, characterized in that: The step S1 is specifically as follows: Collecting grid-side power P (Grid) and PCS power P ( PCS ), calculate the current overall power of the electricity consumption side P (Electricity side): P (Electricity side) = - ( P (Grid)+ P ( PCS )); Based on the peak shaving and valley filling strategy, in the battery priority power supply mode, the current reference value P The calculation of (control) is: ； In the mains power priority mode, the battery power is adjusted according to the battery P ( E ) and the maximum allowable power of the transformer in the factory MaxP (Grid) Calculate current reference value P (control): 。

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