CN-122000994-A - Electric-thermal-cold multi-energy complementary micro-grid cooperative operation control system

CN122000994ACN 122000994 ACN122000994 ACN 122000994ACN-122000994-A

Abstract

The application relates to the technical field of power distribution system control, in particular to an electric-thermal-cold multi-energy complementary micro-grid cooperative operation control system. The system comprises a power grid data acquisition module, a power grid state evaluation module and a cooperative operation control module, wherein the power grid data acquisition module is used for acquiring output power of a micro-grid heating system and a cooling system, heat load power and cold load power of a demand side, and acquiring power generation power of a power supply side and power consumption power of a load side in the micro-grid, the power grid state evaluation module is used for acquiring consistency coefficients between power generation states and overall loads of the micro-grid in each sliding window, calculating variation significant coefficients of the power consumption power in each period to obtain first characteristic values of overall supply and demand balance states of the micro-grid in each period, and the cooperative operation control module is used for adjusting the sagging coefficients according to the first characteristic values and adjusting energy storage operation of the micro-grid by utilizing a sagging control technology. The application improves the precision of the micro-grid cooperative operation control.

Inventors

WANG HAILIANG
LIU JINZAN
ZHENG YAJUAN

Assignees

天津安捷物联科技股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260410

Claims (10)

1. An electric-thermal-cold multi-energy complementary micro-grid collaborative operation control system, the system comprising: The power grid data acquisition module is used for acquiring output power of the micro-grid heating system and the cooling system, hot load power and cold load power of a demand side, and acquiring power generation power of a power supply side and power utilization power of a load side in the micro-grid; The power grid state evaluation module acquires delay coefficients of output power of the heat supply and cooling systems of each sliding window through time delay conditions of fluctuation degrees of the output power and the load power at the demand side in the sliding windows, so as to acquire average delay coefficients of temperature response of the heat supply and cooling systems along with the change of the output power; Obtaining a variation significant coefficient of the power consumption in each period by utilizing the irregular fluctuation characteristic and the variation disorder characteristic of the power consumption at the load side of the micro-grid, and obtaining a first characteristic value of the overall supply and demand balance state of the micro-grid in each period by combining the consistency coefficient; And the cooperative operation control module is used for adjusting the sagging coefficient according to the first characteristic value to obtain an optimized sagging coefficient, and carrying out energy storage operation adjustment on the micro-grid by utilizing a sagging control technology.
2. The electric-thermal-cold multi-energy complementary micro-grid collaborative operation control system according to claim 1, wherein a preset time length is used as a sliding window, first-order differential sequences of heat supply system output power data and heat load power in each sliding window are counted respectively, and delay coefficients of the heat supply system output power of each sliding window are calculated based on the difference conditions of the two first-order differential sequences.
3. The electric-thermal-cold multi-energy complementary micro-grid cooperative operation control system according to claim 2, wherein the delay coefficient of the output power of the heating system is obtained specifically as follows: respectively calculating a first-order differential sequence and a ith of output power of the ith sliding window heating system And taking the value of j as a delay coefficient of the output power of the i-th sliding window heating system, wherein the value of j is from a first preset positive number to a second preset positive number, and the minimum distance corresponds to the value of j of the sliding window.
4. An electric-thermal-cold multi-energy complementary micro-grid cooperative operation control system as claimed in claim 3, wherein the mode of the delay coefficient of the output power of all sliding window heating systems on the same day is used as the average delay coefficient of the heating system temperature response along with the change of the output power, and correspondingly, the average delay coefficient of the heating system temperature response along with the change of the output power is calculated by adopting the acquisition process of the average delay coefficient of the heating system temperature response along with the change of the output power.
5. The electric-thermal-cold multi-energy complementary micro-grid collaborative operation control system according to claim 1, wherein the acquisition process of the consistency coefficient between the power generation state and the overall load of the micro-grid in any sliding window is to count the correlation coefficient between the cold load power data of any sliding window and the power generation power data in B sliding windows before any sliding window and the correlation coefficient between the heat load power data of any sliding window and the power generation power data in A sliding windows before any sliding window, wherein B is the average delay coefficient of the temperature response of the cooling system along with the change of the output power, A is the average delay coefficient of the temperature response of the heating system along with the change of the output power, and calculate the correlation coefficient between the power generation power data and the power consumption data in any sliding window, and the consistency coefficient between the power generation state and the overall load of the micro-grid in each sliding window is calculated by using the three correlation coefficients.
6. An electric-thermal-cold multi-energy complementary micro-grid collaborative operation control system according to claim 5, wherein the consistency coefficient between the power generation state and the overall load of the micro-grid in the ith sliding window The acquisition formula of (1) is: In the formula (I), in the formula (II), 、 Respectively the weight coefficients of the two groups of the three groups of the, , Is a correlation coefficient between the cooling load power data of the ith sliding window and the generated power data in the (i-B) th sliding window, Is a correlation coefficient between the thermal load power data of the ith sliding window and the generated power data in the (i-a) th sliding window, And the correlation coefficient between the generated power data and the used power data in the ith sliding window is obtained.
7. The electric-thermal-cold multi-energy complementary micro-grid collaborative operation control system according to claim 1, wherein the process of obtaining significant coefficient of variation of electric power in each period comprises: The method comprises the steps of fitting electric power in a current period, extracting all extreme points of the obtained fitting curve, calculating absolute values of differences between any two adjacent extreme values, calculating fractal dimensions of all the absolute values, calculating slope values of the fitting curve of the electric power in the current period at each time, calculating arrangement entropy of all the slope values, and calculating variation significant coefficients of the electric power by combining the fractal dimensions and the arrangement entropy, wherein the duration of one period is preset duration.
8. The electric-thermal-cold multi-energy complementary micro-grid collaborative operation control system according to claim 7, wherein the calculation relation of the significant coefficient of variation of the electric power in each period is: wherein v represents an extremely small positive number, E is a significant coefficient of variation of the electric power used in the current period, And S is the permutation entropy for the fractal dimension.
9. The electric-thermal-cold multi-energy complementary micro-grid collaborative operation control system according to claim 8, wherein the first characteristic value of the overall supply-demand balance state of the micro-grid in each period is obtained by the following formula: In the formula (I), in the formula (II), For the first characteristic value of the whole supply and demand balance state of the micro-grid in the current period, L represents the average value of the consistency coefficients corresponding to all sliding windows in the current period, An exponential function based on a natural constant is represented.
10. The electric-thermal-cold multi-energy complementary micro-grid collaborative operation control system according to claim 1, wherein the next period of the current period corresponds to an optimized droop coefficient The method comprises the following steps: , wherein, For the normalization result of the current time period corresponding to the first characteristic value, 、 Respectively a minimum value and a maximum value of preset sagging coefficients.

Description

Electric-thermal-cold multi-energy complementary micro-grid cooperative operation control system Technical Field The application relates to the technical field of power distribution system control, in particular to an electric-thermal-cold multi-energy complementary micro-grid cooperative operation control system. Background The multi-energy complementary park is used as a complex energy system, relates to the production, conversion, storage and utilization of multiple energy sources of electricity, heat and cold, has complex load characteristics and large load demand, however, along with the continuous improvement of the renewable energy power generation permeability, the uncertainty of new energy output and the complex fluctuation of load bring huge pressure to the running of a micro-grid, and easily cause unbalance of supply and demand. And the heat supply and cooling system has great thermal inertia, so that the temperature transmission from the heat source to the user has different time delays, and the dynamic process is difficult to accurately acquire. Further, under the influence of the factors, the defects of lag in energy optimization scheduling response and insufficient adjusting capability of the micro-grid exist. The public number CN115660142A is a coordinated optimization scheduling method for the energy and the charge storage of the park comprehensive energy system, and when the park comprehensive energy system is optimized, the electric conversion units are considered to realize the advantage complementation of each unit in the system, so that the energy utilization efficiency is improved, the power optimization in the network is coordinated, and the cogeneration unit is more flexibly operated. Under the influence of the uncertainty of the source state of charge and the inertia of a heat and cold supply system, the problem of insufficient optimal scheduling capability exists. Disclosure of Invention In order to solve the technical problems, the application aims to provide an electric-thermal-cold multi-energy complementary micro-grid cooperative operation control system, which adopts the following technical scheme: The application provides an electric-thermal-cold multi-energy complementary micro-grid cooperative operation control system, which comprises: The power grid data acquisition module is used for acquiring output power of the micro-grid heating system and the cooling system, hot load power and cold load power of a demand side, and acquiring power generation power of a power supply side and power utilization power of a load side in the micro-grid; The power grid state evaluation module acquires delay coefficients of output power of the heat supply and cooling systems of each sliding window through time delay conditions of fluctuation degrees of the output power and the load power at the demand side in the sliding windows, so as to acquire average delay coefficients of temperature response of the heat supply and cooling systems along with the change of the output power; Obtaining a variation significant coefficient of the power consumption in each period by utilizing the irregular fluctuation characteristic and the variation disorder characteristic of the power consumption at the load side of the micro-grid, and obtaining a first characteristic value of the overall supply and demand balance state of the micro-grid in each period by combining the consistency coefficient; And the cooperative operation control module is used for adjusting the sagging coefficient according to the first characteristic value to obtain an optimized sagging coefficient, and carrying out energy storage operation adjustment on the micro-grid by utilizing a sagging control technology. Preferably, the preset duration is used as a sliding window, first-order differential sequences of the output power data and the heat load power of the heating system in each sliding window are respectively counted, and the delay coefficient of the output power of the heating system of each sliding window is calculated based on the difference condition of the two first-order differential sequences. Preferably, the obtaining of the delay coefficient of the output power of the heating system is specifically: respectively calculating a first-order differential sequence and a ith of output power of the ith sliding window heating system And taking the value of j as a delay coefficient of the output power of the i-th sliding window heating system, wherein the value of j is from a first preset positive number to a second preset positive number, and the minimum distance corresponds to the value of j of the sliding window. Preferably, the mode of the delay coefficients of the output power of all the sliding window heating systems on the same day is used as the average delay coefficient of the temperature response of the heating system along with the change of the output power, and correspondingly, the average delay coefficient of the tempera