Multi-phase power system load balance control system and method

Abstract

The invention discloses a multi-phase power system load balance control system and method, and belongs to the technical field of power. The invention discloses a multi-phase power system load balance control system and method. The method comprises the steps of dividing a power supply area into a plurality of sub-areas; collecting real-time power data of each sub-region; performing noise filtering and abnormal value removal on the power data, and smoothing data fluctuation by adopting a moving average algorithm; according to the electric power data in each sub-region, a first time period is obtained, and the average amplitude of the electric power data of the sub-region in the first time period exceeds a set threshold value; calculating the overlap ratio between the first time periods of the different sub-regions and the power utilization peak time period in the power supply region, and dividing the sub-regions into an adjustable group and a non-adjustable group according to the overlap ratio; dividing the adjustable group into a first adjusting group and a second adjusting group; different electricity price adjustment strategies are implemented for different sub-regions in the electricity utilization peak time period, so that the adjustable loads of the different sub-regions are prevented from being overlapped in the electricity utilization peak time period.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and more specifically, to a multi-phase electric power system load balancing control system and method. Background Art

[0002] With the rapid development of industrialization and urbanization, the global electricity demand continues to grow, which puts higher requirements on the load balancing regulation of power systems. In multi-phase power systems, load balancing control systems are key technologies to ensure the stability and reliability of power supply.

[0003] After searching, the patent document with the existing publication number CN114649815A provides a flexible load demand response method and device based on three-phase load imbalance. When three-phase imbalance occurs, the method controls the usage status of the flexible load through the demand side active response mode and the demand side passive control mode, that is, regulates the electricity consumption behavior on the demand side, thereby achieving three-phase imbalance management.

[0004] In the above scheme, a differentiated electricity price strategy is implemented for specific flexible loads in specific target phases. This regulation method has relatively strict application conditions and limited effect. It only has a significant effect on clear flexible loads and is difficult to apply to the situation of unbalanced loads in multi-phase power systems caused by complex power consumption. In view of this, we propose a load balancing control system and method for multi-phase power systems. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] The object of the present invention is to provide a multi-phase power system load balancing control system and method to solve the problems raised in the above background technology.

[0007] 2. Technical solution

[0008] The present invention is achieved through the following technical solutions:

[0009] A multi-phase power system load balancing control system and method, comprising the following steps:

[0010] S1, dividing the power supply area into multiple sub-areas;

[0011] S2, collect real-time power data of each sub-area;

[0012] S3, filter the power data for noise and remove outliers, and use a sliding average algorithm to smooth data fluctuations;

[0013] S4. Acquire a first time period according to the power data in each sub-area, wherein the average amplitude of the power data in the sub-area in the first time period exceeds a set threshold;

[0014] S5, calculating the overlap between the first time period of different sub-areas and the peak power consumption time period in the power supply area, and dividing the sub-areas into an adjustable group and a non-adjustable group according to the overlap;

[0015] S6, dividing the adjustable group into a first adjustment group and a second adjustment group;

[0016] S7. Determine a split time point during the peak electricity consumption period in the power supply area. During a first price adjustment time before the split time point, increase the electricity price of the adjustable groups in the first adjustment group, and reduce the electricity price of the adjustable groups in the second adjustment group. During a second price adjustment time after the split time point, increase the electricity price of the adjustable groups in the second adjustment group, and reduce the electricity price of the adjustable groups in the first adjustment group. The sum of the first price adjustment time and the second price adjustment time is greater than the duration of the peak electricity consumption period in the power supply area.

[0017] As an optional solution of the technical solution of this application document, the power data in S2 is the load data of the sub-area.

[0018] As an optional solution to the technical solution of this application document, the set threshold in the sub-area described in S4 is determined by using historical power data in the sub-area.

[0019] As an optional solution of the technical solution of this application document, the overlap degree described in S5 is calculated using the following formula:

[0020] R i =I i / H i

[0021] Among them, R i is the overlap between the first time period of the i-th sub-area and the peak power consumption time period in the power supply area, I i is the overlap duration between the first time period of the ith sub-area and the peak power consumption time period in the power supply area, H i is the duration of the first time period of the i-th sub-area.

[0022] As an optional solution to the technical solution of the present application document, the overlap between the first time period of each sub-area in the adjustable group described in S5 and the peak power consumption time period in the power supply area is not less than 0.8.

[0023] As an optional solution of the technical solution of this application document, S6 includes:

[0024] S601, respectively calculating the average amplitude of the power data at the middle time point of the first time period of each sub-area in the adjustable group and in the first time period;

[0025] S602. According to the degree to which the middle time point of each sub-region is close to the start time point of the peak power consumption period in the power supply area, the sub-regions are divided into a first adjustment group close to the start time point of the peak power consumption period in the power supply area, and a second adjustment group close to the end time point of the peak power consumption period, and the difference between the sum of the average amplitudes of each sub-region in the first adjustment group and the second adjustment group is minimized.

[0026] As an optional solution of the technical solution of this application document, the segmentation time point in S7 is calculated using the following formula:

[0027]

[0028] Among them, T c is the split time point, T s is the starting time of the peak electricity period, T e is the end time of the peak electricity period, t i is the overlap time between the first time period of the sub-area in the first adjustment group and the peak power time period, t j is the overlap time between the first time period of the sub-area in the first adjustment group and the peak power time period, m is the number of sub-areas in the first adjustment group, and n is the number of sub-areas in the second adjustment group.

[0029] As an optional solution of the technical solution of the present application document, the first price adjustment time is the average length of the first time period in the first adjustment group, and the second price adjustment time is the average length of the first time period in the first adjustment group.

[0030] As an optional solution of the technical solution of this application document, the electricity price during the first price adjustment time and the second price adjustment time satisfies the following formula:

[0031] P0=(P1H1+P2H2) / (H1+H2)

[0032] Among them, P0 is the basic electricity price, P1 is the electricity price of the sub-area in the first adjustment group during the first price adjustment time, P2 is the electricity price of the sub-area in the first adjustment group during the second price adjustment time, H1 is the first price adjustment time, and H2 is the second price adjustment time.

[0033] 3. Beneficial effects

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] The present application divides the power supply area into multiple sub-areas and extracts the power consumption characteristics of each sub-area; implements different electricity price adjustment strategies for different sub-areas during peak power consumption periods, guides the adjustable loads in the sub-areas to change their time characteristics, and avoids the overlap of adjustable loads in different sub-areas during peak power consumption periods, which increases the difficulty of regulating multiple loads in the power grid and causes load imbalance in the multi-phase power system, affecting the stability of the power system; compared with the existing technology, it can perform comprehensive adjustment for different flexible loads and has a wider range of applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 The invention is a logic block diagram of a load balancing control method for a multi-phase power system. DETAILED DESCRIPTION

[0037] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings.

[0038] Embodiment 1:

[0039] See also Figure 1 , the present invention provides a technical solution:

[0040] A multi-phase power system load balancing control method comprises the following steps:

[0041] S1, dividing the power supply area into multiple sub-areas;

[0042] S2, collect real-time power data of each sub-area;

[0043] S3, filter the power data for noise and remove outliers, and use a sliding average algorithm to smooth data fluctuations;

[0044] S4. Acquire a first time period according to the power data in each sub-area, wherein the average amplitude of the power data in the sub-area in the first time period exceeds a set threshold;

[0045] S5, calculating the overlap between the first time period of different sub-areas and the peak power consumption time period in the power supply area, and dividing the sub-areas into an adjustable group and a non-adjustable group according to the overlap;

[0046] S6, dividing the adjustable group into a first adjustment group and a second adjustment group;

[0047] S7. Determine a split time point during the peak electricity consumption period in the power supply area. During a first price adjustment time before the split time point, increase the electricity price of the adjustable groups in the first adjustment group, and reduce the electricity price of the adjustable groups in the second adjustment group. During a second price adjustment time after the split time point, increase the electricity price of the adjustable groups in the second adjustment group, and reduce the electricity price of the adjustable groups in the first adjustment group. The sum of the first price adjustment time and the second price adjustment time is greater than the duration of the peak electricity consumption period in the power supply area.

[0048] In S1, the basis for the division of power supply areas includes but is not limited to the geographical distribution of the power grid, user compliance characteristics, substation coverage, etc. The purpose is to make the power consumption characteristics between different sub-areas significantly different, so as to facilitate the subsequent implementation of different electricity price adjustment strategies according to the power consumption characteristics of different sub-areas, increase the power consumption characteristics between different sub-areas, avoid excessive loads connected to the multi-phase power system in the same time period, increase the difficulty of power grid regulation, increase the imbalance of power system load, and affect the stability and security of the power grid.

[0049] In S2, real-time power data of each sub-area can be collected through a smart meter. Preferably, the power data is load data of the sub-area, and the load data is processed through the steps recorded in S3 to increase the accuracy of the load data.

[0050] In S4, the set threshold in the sub-area is determined by the historical power data in the sub-area, that is, the historical load data of the sub-area. The set threshold should be able to reflect the non-dispatchable load in the sub-area, which is specifically reflected in that the demand for such load will not be adjusted according to changes in electricity prices, power supply reliability or other external conditions; and then the first time period in which the load in the sub-area can be adjusted is screened out.

[0051] In S5, according to the comprehensive power consumption of each sub-area in the power supply area, the peak power consumption time period is obtained, and the overlap between the first time period of the sub-area and the peak power consumption time period in the power supply area is calculated using the following formula:

[0052] R i =I i / H i

[0053] Among them, R i is the overlap between the first time period of the i-th sub-area and the peak power consumption time period in the power supply area, I i is the overlap duration between the first time period of the ith sub-area and the peak power consumption time period in the power supply area, H i is the duration of the first time period of the i-th sub-area.

[0054] The sub-areas with a degree of overlap between the first time period and the peak power consumption time period in the power supply area of ​​not less than 0.8 may be classified into the adjustable group, and the remaining sub-areas may be classified into the non-adjustable group.

[0055] In S6, the sub-areas within the adjustable group need to be further divided to implement different pricing strategies and stagger the practical time of the adjustable loads in different sub-areas, which specifically includes the following steps:

[0056] S601, respectively calculating the average amplitude of the power data at the middle time point of the first time period of each sub-area in the adjustable group and in the first time period;

[0057] S602. According to the degree to which the middle time point of each sub-region is close to the start time point of the peak power consumption period in the power supply area, the sub-regions are divided into a first adjustment group close to the start time point of the peak power consumption period in the power supply area, and a second adjustment group close to the end time point of the peak power consumption period, and the difference between the sum of the average amplitudes of each sub-region in the first adjustment group and the second adjustment group is minimized.

[0058] In S7, the split time point can be calculated using the following formula:

[0059]

[0060] Among them, T c is the split time point, T s is the starting time of the peak electricity period, T e is the end time of the peak electricity period, t i is the overlap time between the first time period of the sub-area in the first adjustment group and the peak power time period, t j is the overlap time between the first time period of the sub-area in the first adjustment group and the peak power time period, m is the number of sub-areas in the first adjustment group, and n is the number of sub-areas in the second adjustment group.

[0061] Preferably, the first price adjustment time is the average length of the first time period in the first adjustment group, and the second price adjustment time is the average length of the first time period in the first adjustment group; through this price adjustment method, the difference between the electricity consumption characteristics of the sub-areas in the first adjustment group and the second adjustment group can be increased, and the adjustable loads in the sub-areas in the first adjustment group and the second adjustment group can be guided to both sides of the peak electricity consumption time period respectively, avoiding the adjustable loads from gathering in the peak electricity consumption time period, which will have an adverse effect on the load balance of the multi-phase power system and affect the stability of the power supply of the power system.

[0062] In addition, the electricity prices during the first price adjustment period and the second price adjustment period satisfy the following formula:

[0063] P0=(P1H1+P2H2) / (H1+H2)

[0064] Among them, P0 is the basic electricity price, P1 is the electricity price of the sub-region in the first adjustment group during the first price adjustment period, P2 is the electricity price of the sub-region in the first adjustment group during the second price adjustment period, H1 is the first price adjustment period, and H2 is the second price adjustment period. Similarly, P1 can also be regarded as the electricity price of the sub-region in the second adjustment group during the first price adjustment period, and P2 can be regarded as the electricity price of the sub-region in the second adjustment group during the second price adjustment period.

[0065] Through this electricity price adjustment strategy, the total cost of non-dispatchable loads can be kept unchanged between the first price adjustment time and the second price adjustment time, and only the adjustable loads in the sub-area are adjusted, reducing the adverse impact on the power supply system.

[0066] Embodiment 2:

[0067] The present invention provides a multi-phase power system load balancing control system, which adopts a multi-phase power system load balancing control method recorded in the above embodiment.

Claims

1. A multi-phase power system load balancing control method, characterized in that: The following steps are involved: S1, dividing the power supply area into multiple sub-areas; S2, collect real-time power data of each sub-area; S3, filter the power data for noise and remove outliers, and use a sliding average algorithm to smooth data fluctuations; S4. Acquire a first time period according to the power data in each sub-area, wherein the average amplitude of the power data in the sub-area in the first time period exceeds a set threshold; S5, calculating the overlap between the first time period of different sub-areas and the peak power consumption time period in the power supply area, and dividing the sub-areas into an adjustable group and a non-adjustable group according to the overlap; S6, dividing the adjustable group into a first adjustment group and a second adjustment group; S7. Determine a split time point during the peak electricity consumption period in the power supply area. During a first price adjustment time before the split time point, increase the electricity price of the adjustable groups in the first adjustment group, and reduce the electricity price of the adjustable groups in the second adjustment group. During a second price adjustment time after the split time point, increase the electricity price of the adjustable groups in the second adjustment group, and reduce the electricity price of the adjustable groups in the first adjustment group. The sum of the first price adjustment time and the second price adjustment time is greater than the duration of the peak electricity consumption period in the power supply area.

2. A multi-phase power system load balancing control method according to claim 1, characterized in that: The power data in S2 is the load data of the sub-region.

3. A multi-phase power system load balancing control method according to claim 1, characterized in that: The set threshold in the sub-area in S4 is determined by using the historical power data in the sub-area.

4. A multi-phase power system load balancing control method according to claim 1, characterized in that: The overlap degree described in S5 is calculated using the following formula: R i =I i / H i Among them, R i is the overlap between the first time period of the i-th sub-area and the peak power consumption time period in the power supply area, I i is the overlap duration between the first time period of the ith sub-area and the peak power consumption time period in the power supply area, H i is the duration of the first time period of the i-th sub-area.

5. A multi-phase power system load balancing control method according to claim 4, characterized in that: The overlap between the first time period of each sub-area in the adjustable group in S5 and the peak power consumption time period in the power supply area is not less than 0.

8.

6. A multi-phase power system load balancing control method according to claim 1, characterized in that: The S6 includes: S601, respectively calculating the average amplitude of the power data at the middle time point of the first time period of each sub-area in the adjustable group and in the first time period; S602. According to the degree to which the middle time point of each sub-region is close to the start time point of the peak power consumption period in the power supply area, the sub-regions are divided into a first adjustment group close to the start time point of the peak power consumption period in the power supply area, and a second adjustment group close to the end time point of the peak power consumption period, and the difference between the sum of the average amplitudes of each sub-region in the first adjustment group and the second adjustment group is minimized.

7. A multi-phase power system load balancing control method according to claim 1, characterized in that: The segmentation time point described in S7 is calculated using the following formula: Among them, T c is the split time point, T s is the starting time of the peak electricity period, T e is the end time of the peak electricity period, t i is the overlap time between the first time period of the sub-area in the first adjustment group and the peak power time period, t j is the overlap time between the first time period of the sub-area in the first adjustment group and the peak power time period, m is the number of sub-areas in the first adjustment group, and n is the number of sub-areas in the second adjustment group.

8. A multi-phase power system load balancing control method according to claim 1, characterized in that: The first price adjustment time is the average length of the first time period in the first adjustment group, and the second price adjustment time is the average length of the first time period in the first adjustment group.

9. A multi-phase power system load balancing control method according to claim 1, characterized in that: The electricity prices during the first price adjustment period and the second price adjustment period satisfy the following formula: P0=(P1H1+P2H2) / (H1+H2) Among them, P0 is the basic electricity price, P1 is the electricity price of the sub-area in the first adjustment group during the first price adjustment time, P2 is the electricity price of the sub-area in the first adjustment group during the second price adjustment time, H1 is the first price adjustment time, and H2 is the second price adjustment time.

10. A multi-phase power system load balancing control system, characterized in that: A multi-phase power system load balancing control method as described in any one of claims 1 to 9 is adopted.

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