Consistency algorithm-based multilayer hierarchical console area energy mutual aid method and system

Abstract

The invention provides a multilayer hierarchical console area energy mutual aid method and system based on a consistency algorithm, and the method comprises the following steps: calculating the power unbalance amount of each transformer area according to the total energy power received and generated by each transformer area and the total load power of all loads in the transformer area; setting an initial state variable according to the power unbalance amount of each transformer area, iteratively updating the state variable of each transformer area by using a consistency algorithm, setting a convergence condition, and obtaining a final power unbalance amount after convergence; and according to the final power unbalance amount, for the transformer areas with excess energy and the transformer areas with vacancy energy, adopting a droop control algorithm to perform energy transmission, and redistributing energy. According to the method, a consistency algorithm is adopted, real-time, dynamic and optimal distribution of energy between stations can be achieved in a distributed environment, meanwhile, dependence on central control is reduced, and the robustness and reliability of the system are improved.

Description

Technical Field

[0001] The present invention relates to the field of energy mutual assistance in substations, and in particular to a multi-layer hierarchical substation energy mutual assistance method and system based on a consistency algorithm. Background Art

[0002] With the deepening of electricity market reform, inter-station energy synergy requires consideration not only of technical feasibility but also of economics and market adaptability. Therefore, how to effectively achieve inter-station energy synergy, optimize overall grid efficiency, reduce operating costs, and improve system reliability and stability has become a pressing issue. Summary of the Invention

[0003] In order to overcome the above-mentioned deficiencies of the prior art, the present invention discloses a multi-layer hierarchical control console area energy mutual assistance method and system based on a consistency algorithm.

[0004] The technical solution provided by the present invention is: a multi-layer hierarchical control zone energy mutual assistance method based on a consistency algorithm, comprising the following steps:

[0005] The power imbalance of each substation is calculated based on the total energy power received and generated by each substation and the total load power of all loads in the substation;

[0006] According to the power imbalance of each substation, the initial state variables are set, and the state variables of each substation are iteratively updated using the consistency algorithm. The convergence conditions are set, and the final power imbalance is obtained after convergence.

[0007] Based on the final power imbalance, a droop control algorithm is used to transmit energy and redistribute energy for the energy-surplus and energy-deficient substations.

[0008] Preferably, calculating the power imbalance amount of each substation specifically includes:

[0009] Define the total energy power P gen,i , P gen,i It includes the energy received from the grid and the energy received by all power generation equipment, where i is the station area;

[0010] Define the total load power P load,i , that is, the power consumption of all loads in the area, where i is the area; for each area i, calculate its power imbalance P imbalance,i , the formula is as follows:

[0011] P imbalance,i =P gen,i -P load,i (1)

[0012] Among them, P imbalance,iIndicates the energy surplus or deficit status of substation i at a specific moment. A value greater than 0 indicates energy surplus, and a value less than 0 indicates energy deficit.

[0013] Further preferably, the final power imbalance amount calculation specifically includes the following steps:

[0014] S1: Define the initial variable as x i (0), initialized to the power imbalance P of the substation imbalance,i , choose the weight factor ω ij Used for iterative calculation of the consensus algorithm, the weight factor is determined based on the communication topology and the mutual assistance agreement between stations;

[0015] S2: Use the consensus algorithm to iteratively update the state variable xi(s) of each station, where s represents the number of iteration steps. The iteration formula is as follows:

[0016]

[0017] Among them, N i represents the set of adjacent stations that directly communicate with station i, ω ij is the communication weight between stations i and j;

[0018] S3: Set the convergence condition and set a convergence threshold ε i ,When the change of the state variables in two consecutive iterations is less than ,, the algorithm is considered to have converged;

[0019] S4: state variable x after convergence i The final power imbalance value of the station area i is used for subsequent energy mutual assistance decision-making.

[0020] Further preferably, the droop control algorithm specifically includes the following steps:

[0021] S1: Implement droop control on the AC bus ports of each substation, adjusting the energy output of the AC bus to respond to voltage changes and balance the power of the AC bus;

[0022] S2: When the voltage of the AC bus deviates from the set value, the droop control strategy automatically adjusts the energy output of the AC bus, increasing or decreasing power to restore the voltage to a stable level.

[0023] Further preferably, the interconnected ports of the AC busbars for the energy-surplus substations transmit the excess energy to other energy-deficient substations, dynamically distribute the excess energy through the interconnected ports of the AC busbars, dynamically adjust the voltage-power droop characteristics of the AC busbars, and distribute the excess energy to adjacent energy-deficient substations according to the weights wijwij:

[0024] j∈Nij∈Ni(3)

[0025] Among them, NiNi is the set of adjacent substations of substation ii. During the transmission process, the secondary control strategy corrects the droop control amount in real time to optimize the transmission efficiency and suppress voltage fluctuations. At the same time, the consistency algorithm continuously iteratively updates the state variables of each substation to make the energy distribution globally consistent. The excess energy is transmitted through the interconnected ports in a "just-in-time" manner.

[0026] It is further preferred that the substations with energy shortages use a consistency algorithm to respond to changes in transmitted energy in real time, absorb the power of substations with excess power, and achieve dynamic energy mutual assistance. First, based on the real-time updated status information of adjacent substations, an energy transmission channel with the excess power substation is automatically established. During the transmission process, the system continuously runs the iterative calculation of the consistency algorithm, and adjusts the distribution ratio of the absorbed power in real time according to the dynamic changes in the power imbalance of each substation.

[0027] It is further preferred that a secondary control strategy based on finite-time consistency theory is introduced in the energy transmission, and a distributed collaborative optimization mechanism is introduced on the basis of primary droop control. Through limited information interaction between the controllers of each substation, the collaborative calculation of the system state is completed within a deterministic finite time. By dynamically adjusting the energy transmission parameters of the interconnected ports and adjusting the droop control amount, energy mutual assistance is achieved.

[0028] According to another aspect of the present invention, there is provided a multi-layer hierarchical control console area energy mutual assistance system based on a consistency algorithm, comprising:

[0029] The power imbalance calculation unit of the substation area is used to calculate the power imbalance of each substation area according to the total energy power received and generated by each substation area and the total load power of all loads in the substation area;

[0030] The final power imbalance calculation unit is used to set the initial state variables according to the power imbalance of each substation, iteratively update the state variables of each substation using the consistency algorithm, set the convergence conditions, and obtain the final power imbalance after convergence;

[0031] The energy redistribution unit is used to transfer energy using a droop control algorithm for energy-surplus areas and energy-deficient areas.

[0032] The present invention is based on a consistency algorithm and aims to improve the energy management efficiency and stability of interconnected substations of power routers in an AC distribution network. First, by accurately calculating the power imbalance of each substation, that is, the difference between the power received and generated by the substation and the power consumed by the load, key data is provided for subsequent energy mutual assistance decisions. Then, the consistency algorithm is used to initialize and iteratively update the state variables until the system converges to ensure the accuracy of energy mutual assistance decisions. Finally, the AC buses of multiple substations transmit energy to each other through a droop control method to maintain power balance and voltage stability. For substations with excess energy, the excess energy is effectively transmitted to the deficit substation through the interconnected ports of the AC bus, and secondary control based on finite-time consistency theory is introduced to optimize the energy transmission process. At the same time, for substations with energy deficits, their energy absorption strategies are adjusted in real time to achieve reasonable distribution.

[0033] The present invention has the following beneficial effects and advantages:

[0034] 1. Through precise calculation and real-time adjustment, the energy distribution between stations is optimized, energy waste is reduced, and overall energy efficiency is improved;

[0035] 2. The application of multi-layer hierarchical control and droop control strategies enhances the grid’s ability to adapt to fluctuations and maintains voltage and power stability;

[0036] 3. The introduction of the consistency algorithm enables the system to maintain stable operation when failures occur in some areas or communication lines, thus enhancing the robustness of the system;

[0037] 4. This method is applicable to distribution networks of different sizes and structures and can be easily expanded and integrated into existing power grid management systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 The present invention provides a flowchart of a multi-layer hierarchical control console area energy mutual assistance method based on a consistency algorithm. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0040] The technical solution provided by the present invention is: a multi-layer hierarchical control area energy mutual assistance method based on a consistency algorithm, referring to Figure 1 As shown, the following steps are included:

[0041] Based on the total energy power received and generated by each substation and the total load power of all loads in the substation, the power imbalance of each substation is calculated, providing key data for achieving accurate energy mutual assistance control;

[0042] Define the total energy power P gen,i , P gen,i It includes the energy received from the grid and the energy received by all power generation equipment, where i is the station area;

[0043] Define the total load power P load,i , that is, the power consumption of all loads in the area, where i is the area; for each area i, calculate its power imbalance P imbalance,i , the formula is as follows:

[0044] P imbalance,i =P gen,i -P load,i (1)

[0045] Among them, P imbalance,i Indicates the energy surplus or deficit status of the substation i at a specific moment. A value greater than 0 indicates energy surplus, and a value less than 0 indicates energy deficit.

[0046] According to the power imbalance of each substation, the initial state variables are set, and the state variables of each substation are iteratively updated using the consistency algorithm. The convergence conditions are set, and the final power imbalance is obtained after convergence.

[0047] The final power imbalance calculation specifically includes the following steps:

[0048] S1: Define the initial variable as x i (0), initialized to the power imbalance P of the substation imbalance,i , choose the weight factor ω ij Used for iterative calculation of the consensus algorithm, the weight factor is determined based on the communication topology and the mutual assistance agreement between stations;

[0049] S2: Use the consensus algorithm to iteratively update the state variable xi(s) of each station, where s represents the number of iteration steps. The iteration formula is as follows:

[0050]

[0051] Among them, N i represents the set of adjacent stations that directly communicate with station i, ω ij is the communication weight between stations i and j;

[0052] S3: Set the convergence condition and set a convergence threshold ε i ,When the change of the state variables in two consecutive iterations is less than ,, the algorithm is considered to have converged;

[0053] S4: state variable x after convergence i As the final power imbalance of station area i, it is used for subsequent energy mutual assistance decision-making;

[0054] Based on the final power imbalance, for areas with excess energy:

[0055] The interconnected ports of the AC busbar send excess energy to other short-supply areas. Dynamic distribution of excess energy is achieved through the interconnected ports of the AC busbar, and the voltage-power droop characteristics of the AC busbar are dynamically adjusted to distribute excess energy to adjacent short-supply areas according to the weights wijwij:

[0056] j∈Nij∈Ni(3)

[0057] Among them, NiNi is the set of adjacent substations of substation ii. During the transmission process, the secondary control strategy corrects the droop control amount in real time to optimize the transmission efficiency and suppress voltage fluctuations. At the same time, the consistency algorithm continuously iteratively updates the state variables of each substation to ensure global consistency in energy distribution. Excess energy is transmitted through the interconnected ports in a "just-in-time" manner.

[0058] When there is excess energy in a substation, the system implements intelligent energy allocation through the AC bus interconnection port. It automatically identifies the electricity demand of adjacent substations with power shortages and prioritizes energy transmission to the areas with the largest power shortages. The transmission process uses an adaptive adjustment mechanism to quickly establish energy channels in the early stage and finely adjust the transmission power in the later stage. At the same time, a multi-level control system maintains voltage stability, enabling energy complementarity between substations and optimizing energy utilization efficiency.

[0059] Based on the final power imbalance, for the energy-deficient areas:

[0060] A consistency algorithm is used to respond to changes in transmitted energy in real time, absorb the power of power-surplus areas, and realize dynamic energy mutual assistance. First, based on the real-time updated status information of adjacent areas, an energy transmission channel with power-surplus areas is automatically established. During the transmission process, the system continuously runs the consistency algorithm iterative calculation, and adjusts the distribution ratio of absorbed power in real time according to the dynamic changes in the power imbalance of each area. Through this distributed collaborative mechanism, the shortage area can accurately match the power supply of the surplus area, and realize autonomous energy balance between the stations. During the whole process, the system relies entirely on local information interaction and consistency calculation between the stations, and does not rely on the central control unit, to ensure the real-time and reliability of energy mutual assistance. This response mechanism based on the consistency algorithm enables the shortage area to adaptively absorb the surplus power of the adjacent surplus area, and finally achieve the power balance state of the entire system;

[0061] During the energy transmission process, a secondary control strategy based on finite-time consistency theory is introduced. A distributed collaborative optimization mechanism is introduced on the basis of primary droop control. Through limited information exchange between the controllers of each substation, the collaborative calculation of the system state is completed within a deterministic finite time. By dynamically adjusting the energy transmission parameters of the interconnected ports and the droop control amount, more accurate and rapid energy mutual assistance is achieved.

[0062] The droop control algorithm specifically includes the following steps:

[0063] S1: Implement droop control on the AC bus ports of each substation, adjusting the energy output of the AC bus to respond to voltage changes and balance the power of the AC bus;

[0064] S2: When the voltage of the AC bus deviates from the set value, the droop control strategy automatically adjusts the energy output of the AC bus, increasing or decreasing power to restore the voltage to a stable level.

[0065] Another aspect of the present invention provides a multi-layer hierarchical control console area energy mutual assistance system based on a consistency algorithm, comprising:

[0066] The power imbalance calculation unit of the substation area is used to calculate the power imbalance of each substation area according to the total energy power received and generated by each substation area and the total load power of all loads in the substation area;

[0067] The final power imbalance calculation unit is used to set the initial state variables according to the power imbalance of each substation, iteratively update the state variables of each substation using the consistency algorithm, set the convergence conditions, and obtain the final power imbalance after convergence;

[0068] The energy redistribution unit is used to transfer energy using a droop control algorithm for energy-surplus areas and energy-deficient areas.

[0069] It should be understood that those skilled in the art, inspired by the technical concept of the present invention, can make various improvements and changes based on the above description without departing from the content of the present invention, which still fall within the scope of protection of the present invention.

[0070] Other embodiments of the present invention will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the invention being indicated by the claims.

[0071] It should be understood that the present invention is not limited to the precise construction shown in the above description and that various modifications and changes can be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A multi-layer hierarchical control area energy mutual assistance method based on a consistency algorithm, characterized in that: The steps include: Calculate the power imbalance of each substation based on the total energy power received and generated by each substation and the total load power of all loads in the substation; According to the power imbalance of each substation, the initial state variables are set, and the state variables of each substation are iteratively updated using the consistency algorithm. The convergence conditions are set, and the final power imbalance is obtained after convergence. Based on the final power imbalance, a droop control algorithm is used to transmit energy and redistribute energy for the energy-surplus and energy-deficient substations.

2. The multi-layer hierarchical control area energy mutual assistance method based on the consistency algorithm according to claim 1 is characterized in that: The calculation of the power imbalance of each substation specifically includes: Define the total energy power P gen,i , P gen,i It includes the energy received from the grid and the energy received by all power generation equipment, where i is the station area; Define the total load power P load,i , that is, the power consumption of all loads in the area, where i is the area; for each area i, calculate its power imbalance P imbalance,i , the formula is as follows: P imbalance,i =P gen,i -P load,i (1) Among them, P imbalance,i Indicates the energy surplus or deficit status of substation i at a specific moment. A value greater than 0 indicates energy surplus, and a value less than 0 indicates energy deficit.

3. The multi-layer hierarchical control area energy mutual assistance method based on the consistency algorithm according to claim 1 is characterized in that: The final power imbalance calculation specifically includes the following steps: S1: Define the initial variable as x i (0), initialized to the power imbalance P of the substation imbalance,i , choose the weight factor ω ij Used for iterative calculation of the consensus algorithm, the weight factor is determined based on the communication topology and the mutual assistance agreement between stations; S2: Use the consensus algorithm to iteratively update the state variable xi(s) of each station, where s represents the number of iteration steps. The iteration formula is as follows: Among them, N i represents the set of adjacent stations that directly communicate with station i, ω ij is the communication weight between stations i and j; S3: Set the convergence condition and set a convergence threshold ε i ,When the change of the state variables in two consecutive iterations is less than ,, the algorithm is considered to have converged; S4: state variable x after convergence i The final power imbalance value of the station area i is used for subsequent energy mutual assistance decision-making.

4. The multi-layer hierarchical control area energy mutual assistance method based on the consistency algorithm according to claim 1 is characterized in that: The droop control algorithm specifically includes the following steps: S1: Implement droop control on the AC bus ports of each substation, adjusting the energy output of the AC bus to respond to voltage changes and balance the power of the AC bus; S2: When the voltage of the AC bus deviates from the set value, the droop control strategy automatically adjusts the energy output of the AC bus, increasing or decreasing power to restore the voltage to a stable level.

5. The multi-layer hierarchical control area energy mutual assistance method based on the consistency algorithm according to claim 1 is characterized in that: The interconnected ports of the AC busbars in the energy-surplus substations transmit the excess energy to other energy-deficient substations, dynamically distribute the excess energy through the interconnected ports of the AC busbars, dynamically adjust the voltage-power droop characteristics of the AC busbars, and distribute the excess energy to adjacent energy-deficient substations according to the weights wijwij: j∈Nij∈Ni(3) Among them, NiNi is the set of adjacent substations of substation ii. During the transmission process, the secondary control strategy corrects the droop control amount in real time to optimize transmission efficiency and suppress voltage fluctuations. At the same time, the consistency algorithm continuously iteratively updates the state variables of each substation to ensure global consistency in energy distribution. Excess energy is transmitted through the interconnected ports in a "just-in-time" manner.

6. The multi-layer hierarchical control area energy mutual assistance method based on the consistency algorithm according to claim 1 is characterized in that: For the substations with energy shortage, a consistency algorithm is used to respond to changes in transmission energy in real time, absorb the power of the substations with excess power, and realize dynamic energy mutual assistance. First, based on the real-time updated status information of the adjacent substations, an energy transmission channel with the substations with excess power is automatically established. During the transmission process, the system continuously runs the iterative calculation of the consistency algorithm, and adjusts the distribution ratio of the absorbed power in real time according to the dynamic changes of the power imbalance in each substation.

7. The multi-layer hierarchical control area energy mutual assistance method based on the consistency algorithm according to claim 1 is characterized in that: In the energy transmission, a secondary control strategy based on the finite time consistency theory is introduced, and a distributed collaborative optimization mechanism is introduced on the basis of the primary droop control. Through the limited information interaction between the controllers of each substation, the collaborative calculation of the system state is completed within a deterministic finite time. By dynamically adjusting the energy transmission parameters of the interconnected ports and adjusting the droop control amount, energy mutual assistance is achieved.

8. A multi-layer hierarchical control area energy mutual assistance system based on a consistency algorithm, characterized in that: include: The power imbalance calculation unit of the substation area is used to calculate the power imbalance of each substation area according to the total energy power received and generated by each substation area and the total load power of all loads in the substation area; The final power imbalance calculation unit is used to set the initial state variables according to the power imbalance of each substation, iteratively update the state variables of each substation using the consistency algorithm, set the convergence conditions, and obtain the final power imbalance after convergence; The energy redistribution unit is used to transfer energy using a droop control algorithm for energy-surplus areas and energy-deficient areas.

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