An energy scheduling method and system of a power supply system and an electronic device
Patent Information
- Application Number
- CN202210350974.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-04-02
- Publication Date
- 2026-10-30
- Estimated Expiration
- 2042-04-02
AI Technical Summary
[0004]该方案存在的问题在于,当牵引供电系统内存在多台功率融通装置时,能量调度管理装置只能根据相邻牵引变电所的功率进行调节来实现局部最优,无法从系统最优的角度统筹调度能量,实现全局最优
[0061]1)从整个系统的角度考虑多台功率融通装置之间的配合,可以保证系统的整体最优,效果更好;
Smart Images

Figure CN116937535B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of energy dispatching, and particularly relates to an energy dispatching method, system and electronic equipment for a power supply system. Background Technology
[0002] Currently, AC drive technology is widely used in electric locomotives and EMU trains in my country. This technology enables bidirectional energy flow; when a train is braking, kinetic energy can be converted into electrical energy and fed back into the traction grid. However, the segmented power supply method for traction power supply restricts the flow of regenerative braking energy, preventing this energy from being used by trains in other power supply sections and resulting in waste as it is fed back into the grid. To ensure the full utilization of regenerative braking energy within the traction power supply system, a better solution is to install power sharing devices within the sectioning stations, allowing the energy to be used by trains in other power supply sections across different power supply sections.
[0003] The existing dispatching scheme involves the dispatching management device acquiring the real-time power of two adjacent traction substations in a zone, classifying and discussing the operating status of the adjacent traction substations, generating power commands, and then controlling the energy flow of the power balancing device. When the power of the two adjacent traction substations is simultaneously positive (flowing from the grid to the traction network) or simultaneously negative (flowing from the traction network to the grid), the power balancing device does not operate. When the power of the two traction substations is one positive and one negative, the power balancing device transfers energy from the negative power side to the positive power side, with the power being the smaller of the two absolute power values.
[0004] The problem with this scheme is that when multiple power sharing devices exist within the traction power supply system, the energy dispatch management device can only achieve local optimization by adjusting the power of adjacent traction substations, and cannot coordinate energy dispatch from the perspective of system optimization to achieve global optimization. When energy dispatch management devices in two adjacent substations of the same traction substation simultaneously regulate the power of the traction substation, conflicts may occur, potentially causing system instability and serious consequences. Furthermore, the operation of the power sharing device increases the negative sequence current in the traction substation, causing power quality indicators to exceed limits, requiring extra attention during dispatch. Summary of the Invention
[0005] To address the aforementioned technical problems, this invention proposes a technical solution for an energy dispatching method, system, and electronic equipment for a power supply system.
[0006] The first aspect of this invention discloses an energy dispatching method for a power supply system, the method comprising:
[0007] The main control platform calculates the instructions for each power fusion device in the power supply system based on real-time power data;
[0008] The main control platform receives the real-time power data collected by measurement.
[0009] After receiving real-time power data, the main control platform establishes functions between different optimization objectives and the instructions of each power fusion device according to a preset mode. The optimization algorithm is used to solve the functions to obtain the instructions of each power fusion device. The communication system transmits the instructions to each power fusion device, and the power fusion device works according to the instructions to transmit energy between traction substations.
[0010] According to the method of the first aspect of the present invention, the preset mode includes:
[0011] The minimum reverse power, the optimal power quality of the system, and a weighted combination of the minimum reverse power and the optimal power quality of the system.
[0012] According to the method of the first aspect of the present invention, the specific process of establishing a function between different optimization objectives and the instructions of each power fusion device according to a preset mode, solving the function using an optimization algorithm to obtain the instructions of each power fusion device, and transmitting the instructions to each power fusion device through a communication system, wherein the power fusion device operates according to the instructions, includes:
[0013] The first step is for each measuring device to collect real-time power data from the two power supply arms and the power fusion device within its respective traction substation;
[0014] The second step is for the communication system to transmit real-time power data to the main control platform.
[0015] The third step involves the main control platform establishing optimization functions based on preset operating modes. Specifically, this includes: establishing a minimum reverse power function A when the operating mode considers reverse power; establishing an optimal power quality function B when the operating mode considers power quality; and establishing a composite function x1A+x2B by weighted combination of the minimum reverse power function A and the optimal power quality function B when the operating mode considers both simultaneously, where x1 and x2 are weighting coefficients. Subsequently, optimization functions are solved using optimization algorithms such as genetic algorithms or particle swarm optimization to obtain instructions for each power fusion device.
[0016] Fourth step: The communication system sends the instruction to each power fusion device;
[0017] Fifth, each power fusion device operates according to the instructions.
[0018] According to the method of the first aspect of the present invention, the specific expression of the reverse power minimum function A is:
[0019]
[0020] in,
[0021] N is the number of traction substations;
[0022] P i- Let be the reverse power of the i-th substation;
[0023] The specific expression for the optimal power quality function B is as follows:
[0024]
[0025] in,
[0026] I i- The negative sequence current is calculated from the power of the two power supply arms of the i-th substation.
[0027] According to the method of the first aspect of the present invention, the specific expression of the composite function x1A+x2B is:
[0028]
[0029] A second aspect of the present invention provides an energy dispatching system for a power supply system, the system comprising: a power facilitation device, a measuring device, a main control platform, and a communication system;
[0030] The power fusion device is an AC-DC-AC converter, which is connected in parallel between two adjacent traction substations to establish an electrical connection path between the two traction substations;
[0031] The measuring device is used to measure and collect real-time power data of the two power supply arms inside all traction substations in the system and the power fusion device.
[0032] The main control platform calculates the instructions for each power fusion device in the system based on the real-time power data.
[0033] The communication system is used for data transmission between the main control platform and all traction substations and power fusion devices within the system, including transmitting the measured real-time power data to the main control platform and transmitting the instructions calculated by the main control platform to each power fusion device.
[0034] After receiving real-time power data, the main control platform establishes functions between different optimization objectives and the instructions of each power fusion device according to a preset mode. The optimization algorithm is used to solve the functions to obtain the instructions of each power fusion device. The communication system transmits the instructions to each power fusion device, and the power fusion device works according to the instructions to transmit energy between traction substations.
[0035] According to a system based on a second aspect of the present invention, the power fusion device comprises: a main circuit and a control system;
[0036] The main circuit is an AC-DC-AC converter, with AC sides consisting of AC bridge arms and transformers, which are connected to the traction network through the transformers. The DC side is in the middle, consisting of a supporting capacitor and a secondary filter circuit connected in parallel.
[0037] The control system is divided into two parts. The first part is responsible for controlling the DC voltage of the main circuit, and the second part is responsible for controlling the magnitude and direction of the current in the main circuit according to the instructions of the power fusion device.
[0038] According to a second aspect of the system, the voltage controller of the first part of the control system is based on a DC voltage V dc With DC voltage command V dc * The error between them is used to calculate the AC current amplitude command I for the first part. ac1 * Meanwhile, the first part of the phase-locked loop circuit (PLL) receives the AC voltage u. ac1 Phase θ1; Combined with the AC current amplitude command I from the first part ac1 * With phase θ1, the first part of the AC current command i is obtained. ac1 * The first part of the current controller is based on the alternating current i ac1 With alternating current command i ac1 * After calculating the error, the driving pulse is obtained through pulse width modulation (PWM) to control the operation of one side of the converter bridge arm.
[0039] According to a second aspect of the system, the second part of the control system has an AC current amplitude command I. ac2 * The calculation is performed directly based on the instructions from the power fusion device, while the AC voltage u is obtained from the phase-locked loop (PLL) circuit in the second part. ac2 Phase θ2; Combined with the AC current amplitude command I from the second part. ac2 * With phase θ2, the second part of the AC current command i is obtained. ac2 * The second part of the current controller is based on the alternating current i ac2 With alternating current command i ac2 * After calculating the error between them, the drive pulse is obtained through pulse width modulation (PWM) to control the operation of the other converter bridge arm.
[0040] According to the system of the second aspect of the present invention, the preset mode includes:
[0041] The minimum reverse power, the optimal power quality of the system, and a weighted combination of the minimum reverse power and the optimal power quality of the system.
[0042] According to the system of the second aspect of the present invention, the specific process of establishing a function between different optimization objectives and the instructions of each power fusion device according to a preset mode, solving the function using an optimization algorithm to obtain the instructions of each power fusion device, and the communication system transmitting the instructions to each power fusion device, wherein the power fusion device operates according to the instructions, includes:
[0043] The first step is for each measuring device to collect real-time power data from the two power supply arms and the power fusion device within its respective traction substation;
[0044] The second step is for the communication system to transmit real-time power data to the main control platform.
[0045] The third step involves the main control platform establishing optimization functions based on preset operating modes. Specifically, this includes: establishing a minimum reverse power function A when the operating mode considers reverse power; establishing an optimal power quality function B when the operating mode considers power quality; and establishing a composite function x1A+x2B by weighted combination of the minimum reverse power function A and the optimal power quality function B when the operating mode considers both simultaneously, where x1 and x2 are weighting coefficients. Subsequently, optimization functions are solved using optimization algorithms such as genetic algorithms or particle swarm optimization to obtain instructions for each power fusion device.
[0046] Fourth step: The communication system sends the instruction to each power fusion device;
[0047] Fifth, each power fusion device operates according to the instructions.
[0048] According to the system of the second aspect of the present invention, the specific expression of the reverse power minimum function A is:
[0049]
[0050] in,
[0051] N is the number of traction substations;
[0052] P i- Let be the reverse power of the i-th substation;
[0053] The specific expression for the optimal power quality function B is as follows:
[0054]
[0055] in,
[0056] I i-The negative sequence current is calculated from the power of the two power supply arms of the i-th substation.
[0057] According to the method of the first aspect of the present invention, the specific expression of the composite function x1A+x2B is:
[0058]
[0059] A third aspect of the present invention provides an electronic device, including a main control platform, which performs the steps of an energy scheduling method for a power supply system as described in the first aspect.
[0060] The solution proposed in this invention has the following beneficial effects:
[0061] 1) Considering the coordination between multiple power fusion devices from the perspective of the entire system can ensure the overall optimization of the system and better results;
[0062] 2) Unified control of multiple power fusion devices by the main control platform can avoid control conflicts and improve system stability;
[0063] 3) The main control platform can adopt different optimization objectives to solve different modes, and can be set according to specific working conditions, which is highly flexible. Attached Figure Description
[0064] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0065] Figure 1 This is a structural diagram of an energy dispatching system for a power supply system according to an embodiment of the present invention;
[0066] Figure 2 This is a flowchart illustrating the operation of an energy dispatching system according to an embodiment of the present invention.
[0067] Figure 3 This is a schematic diagram of the power fusion device according to an embodiment of the present invention. Detailed Implementation
[0068] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0069] Example 1:
[0070] This embodiment provides an energy dispatching method for a power supply system, the method comprising:
[0071] The main control platform calculates the instructions for each power fusion device in the power supply system based on real-time power data;
[0072] The main control platform receives the real-time power data collected by measurement.
[0073] After receiving real-time power data, the main control platform establishes functions between different optimization objectives and the instructions of each power fusion device according to a preset mode. The optimization algorithm is used to solve the functions to obtain the instructions of each power fusion device. The communication system transmits the instructions to each power fusion device, and the power fusion device works according to the instructions to transmit energy between traction substations.
[0074] The preset modes include:
[0075] The minimum reverse power, the optimal power quality of the system, and a weighted combination of the minimum reverse power and the optimal power quality of the system.
[0076] The process of establishing functions between different optimization objectives and the instructions of each power fusion device according to a preset mode, solving the functions using an optimization algorithm to obtain the instructions of each power fusion device, and transmitting the instructions to each power fusion device through the communication system, with the power fusion device operating according to the instructions, includes the following:
[0077] The first step is for each measuring device to collect real-time power data from the two power supply arms and the power fusion device within its respective traction substation;
[0078] The second step is for the communication system to transmit real-time power data to the main control platform.
[0079] The third step involves the main control platform establishing optimization functions based on preset operating modes. Specifically, this includes: establishing a minimum reverse power function A when the operating mode considers reverse power; establishing an optimal power quality function B when the operating mode considers power quality; and establishing a composite function x1A+x2B by weighted combination of the minimum reverse power function A and the optimal power quality function B when the operating mode considers both simultaneously, where x1 and x2 are weighting coefficients. Subsequently, optimization functions are solved using optimization algorithms such as genetic algorithms or particle swarm optimization to obtain instructions for each power fusion device.
[0080] Fourth step: The communication system sends the instruction to each power fusion device;
[0081] Fifth, each power fusion device operates according to the instructions.
[0082] The specific expression for the minimum reverse power function A is:
[0083]
[0084] in,
[0085] N is the number of traction substations;
[0086] P i- Let be the reverse power of the i-th substation;
[0087] The specific expression for the optimal power quality function B is as follows:
[0088]
[0089] in,
[0090] I i- The negative sequence current is calculated from the power of the two power supply arms of the i-th substation.
[0091] The specific expression for the composite function x1A+x2B is:
[0092]
[0093] The power fusion device includes: a main circuit and a control system;
[0094] The main circuit is an AC-DC-AC converter, with AC sides consisting of AC bridge arms and transformers, which are connected to the traction network through the transformers. The DC side is in the middle, consisting of a supporting capacitor and a secondary filter circuit connected in parallel.
[0095] The control system is divided into two parts. The first part is responsible for controlling the DC voltage of the main circuit, and the second part is responsible for controlling the magnitude and direction of the current in the main circuit according to the instructions of the power fusion device.
[0096] The voltage controller of the first part of the control system is based on the DC voltage V. dc With DC voltage command V dc * The error between them is used to calculate the AC current amplitude command I for the first part. ac1 * Meanwhile, the first part of the phase-locked loop circuit (PLL) receives the AC voltage u. ac1 Phase θ1; Combined with the AC current amplitude command I from the first part ac1 * With phase θ1, the first part of the AC current command i is obtained. ac1 * The first part of the current controller is based on the alternating current i ac1 With alternating current command i ac1 * After calculating the error, the driving pulse is obtained through pulse width modulation (PWM) to control the operation of one side of the converter bridge arm.
[0097] The second part of the control system has an AC current amplitude command I. ac2 * The calculation is performed directly based on the instructions from the power fusion device, while the AC voltage u is obtained from the phase-locked loop (PLL) circuit in the second part. ac2 Phase θ2; Combined with the AC current amplitude command I from the second part. ac2 * With phase θ2, the second part of the AC current command i is obtained. ac2 * The second part of the current controller is based on the alternating current i ac2 With alternating current command i ac2 * After calculating the error between them, the drive pulse is obtained through pulse width modulation (PWM) to control the operation of the other converter bridge arm.
[0098] In summary, this invention enables unified control of multiple power fusion devices by a main control platform, which can avoid control conflicts and improve system stability. The main control platform can adopt different optimization objectives to solve problems according to different modes and can be set according to specific operating conditions, thus offering good flexibility.
[0099] Example 2:
[0100] This embodiment discloses an energy dispatching system for a power supply system. Figure 1 This is a structural diagram of an energy dispatching system for a power supply system according to an embodiment of the present invention, specifically as follows: Figure 1 As shown, the system includes: a power fusion device, a measuring device, a main control platform, and a communication system;
[0101] The power fusion device is an AC-DC-AC converter, which is connected in parallel between two adjacent traction substations to establish an electrical connection path between the two traction substations;
[0102] The measuring device is used to measure and collect real-time power data of the two power supply arms and the power fusion device inside all traction substations in the system. One measuring device is installed in each traction substation.
[0103] The main control platform calculates the instructions for each power fusion device in the system based on the real-time power data.
[0104] The communication system is used for data transmission between the main control platform and all traction substations and power fusion devices within the system, including transmitting the measured real-time power data to the main control platform and transmitting the instructions calculated by the main control platform to each power fusion device.
[0105] After receiving real-time power data, the main control platform establishes functions between different optimization objectives and the instructions of each power fusion device according to a preset mode. The optimization algorithm is used to solve the functions to obtain the instructions of each power fusion device. The communication system transmits the instructions to each power fusion device, and the power fusion device works according to the instructions to transmit energy between traction substations.
[0106] In some embodiments, the preset operating mode includes:
[0107] The minimum reverse power, the optimal power quality of the system, and a weighted combination of the minimum reverse power and the optimal power quality of the system.
[0108] In some embodiments, such as Figure 2 As shown, the process of establishing functions between different optimization objectives and the instructions of each power fusion device according to a preset mode, solving the functions using an optimization algorithm to obtain the instructions of each power fusion device, and transmitting the instructions to each power fusion device through the communication system, with the power fusion device operating according to the instructions, includes the following:
[0109] The first step is for each measuring device to collect real-time power data from the two power supply arms and the power fusion device within its respective traction substation;
[0110] The second step is for the communication system to transmit real-time power data to the main control platform.
[0111] The third step involves the main control platform establishing optimization functions based on preset operating modes. Specifically, this includes: establishing a minimum reverse power function A when the operating mode considers reverse power; establishing an optimal power quality function B when the operating mode considers power quality; and establishing a composite function x1A+x2B by weighted combination of the minimum reverse power function A and the optimal power quality function B when the operating mode considers both simultaneously, where x1 and x2 are weighting coefficients. Subsequently, optimization functions are solved using optimization algorithms such as genetic algorithms or particle swarm optimization to obtain instructions for each power fusion device.
[0112] Fourth step: The communication system sends the instruction to each power fusion device;
[0113] Fifth, each power fusion device operates according to the instructions.
[0114] In some embodiments, the specific expression of the reverse power minimum function A is:
[0115]
[0116] in,
[0117] N is the number of traction substations;
[0118] P i- Let be the reverse power of the i-th substation;
[0119] The specific expression for the optimal power quality function B is as follows:
[0120]
[0121] in,
[0122] I i- The negative sequence current is calculated from the power of the two power supply arms of the i-th substation.
[0123] The specific expression for the composite function x1A+x2B is:
[0124]
[0125] Specifically, Figure 1 The diagram shows a traction power supply system, which includes three traction substations and two sectioning substations. Each sectioning substation is equipped with a power shunting device. The following explanation will use this system as an example to illustrate the scheme. The real-time power data collected by the measuring device from the substations is denoted as P. 1α P 1β P 2α P 2β P 3α P 3βThe upward flow direction is taken as the positive power direction; the real-time power data collected by the power fusion device are denoted as P. 1f P 2f The flow direction from left to right is taken as the positive power direction; the power command issued by the main control platform is denoted as P. 1f * P 2f * In the new power fusion device power command P 1f * P 2f * The power data for the three substations will then become:
[0126]
[0127] Among them, P' 1α 、P' 1β 、P' 2α 、P' 2β 、P' 3α 、P' 3β These represent the new power supply device power command P. 1f * P 2f * Power data for the new substation, η 1β η 2α η 2β η 3α These represent the transmission efficiency from the power fusion device to each power supply arm.
[0128] When the main control platform operates in a mode that considers reverse power, the reverse power P of the i-th (i=1, 2, 3) substation is... i- Size is
[0129] At this time, the minimum reverse power function A established by the main control platform is: When the main control platform operates in a mode that considers power quality, the power supply arm P' is powered through the i-th (i=1, 2, 3) substation. iα 、P' iβ The corresponding negative sequence current magnitude is calculated as I. i- At this point, the optimal power quality function B established by the main control platform is: When the main control platform operates in a mode that considers both functions simultaneously, a composite function is established by weighted combination of functions A and B. Subsequently, optimization algorithms such as genetic algorithms or particle swarm optimization are used to solve for P. 1f * and P 2f * And send it to the corresponding power fusion device.
[0130] In some embodiments, such as Figure 3 As shown, the power fusion device includes: a main circuit and a control system;
[0131] The main circuit is an AC-DC-AC converter, with AC sides consisting of AC bridge arms and transformers, which are connected to the traction network through the transformers. The DC side is in the middle, consisting of a supporting capacitor and a secondary filter circuit connected in parallel.
[0132] The control system is divided into two parts. The first part is responsible for controlling the DC voltage of the main circuit, and the second part is responsible for controlling the magnitude and direction of the current in the main circuit according to the instructions of the power fusion device.
[0133] The voltage controller of the first part of the control system is based on the DC voltage V. dc With DC voltage command V dc * The error between them is used to calculate the AC current amplitude command I for the first part. ac1 * Meanwhile, the first part of the phase-locked loop circuit (PLL) receives the AC voltage u. ac1 Phase θ1; Combined with the AC current amplitude command I from the first part ac1 * With phase θ1, the first part of the AC current command i is obtained. ac1 * The first part of the current controller is based on the alternating current i ac1 With alternating current command i ac1 * After calculating the error, the driving pulse is obtained through pulse width modulation (PWM) to control the operation of one side of the converter bridge arm.
[0134] The second part of the control system has an AC current amplitude command I. ac2 * The calculation is performed directly based on the instructions from the power fusion device, while the AC voltage u is obtained from the phase-locked loop (PLL) circuit in the second part. ac2 Phase θ2; Combined with the AC current amplitude command I from the second part. ac2 * With phase θ2, the second part of the AC current command i is obtained. ac2 * The second part of the current controller is based on the alternating current i ac2 With alternating current command i ac2 * After calculating the error between them, the drive pulse is obtained through pulse width modulation (PWM) to control the operation of the other converter bridge arm.
[0135] In summary, the technical solutions of this invention have the following advantages compared with the prior art:
[0136] 1) Considering the coordination between multiple power fusion devices from the perspective of the entire system can ensure the overall optimization of the system and better results;
[0137] 2) Unified control of multiple power fusion devices by the main control platform can avoid control conflicts and improve system stability;
[0138] 3) The main control platform can adopt different optimization objectives to solve different modes, and can be set according to specific working conditions, which is highly flexible.
[0139] Example 3:
[0140] This embodiment discloses an electronic device that performs the steps of an energy dispatching method for a power supply system as described in any one of Embodiment 1.
[0141] Please note that the technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments have been described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification. The above embodiments only illustrate several implementation methods of this application, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the invention patent. It should be pointed out that for those skilled in the art, several modifications and improvements can be made without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. An energy dispatching method for a power supply system, characterized in that, An energy dispatching system applied to a power supply system includes: a power fusion device, a measuring device, a main control platform, and a communication system. The power fusion device is an AC-DC-AC converter connected in parallel between two adjacent traction substations to establish an electrical connection path between the two traction substations. The measuring device is used to measure and collect real-time power data from the two power supply arms within all traction substations in the system and the power fusion device. The communication system is used for data transmission between the main control platform and all traction substations and power fusion devices in the system, including transmitting the measured real-time power data to the main control platform and transmitting the instructions calculated by the main control platform to each power fusion device. The method includes: The main control platform calculates the instructions for each power fusion device in the power supply system based on real-time power data; The main control platform receives real-time power data collected by measurement; After receiving real-time power data, the main control platform establishes functions between different optimization objectives and the instructions of each power fusion device according to a preset mode. The optimization algorithm is used to solve the functions to obtain the instructions of each power fusion device. The communication system transmits the instructions to each power fusion device, and the power fusion device works according to the instructions to transmit energy between traction substations. The preset modes include: minimum reverse power, optimal power quality of the system, and a weighted combination of minimum reverse power and power quality of the system. Among them, the function formed by the weighted combination of minimum reverse power and system power quality is a composite function x1A+x2B, where A is the function of minimum reverse power, B is the function of optimal power quality, and x1 and x2 are weighting coefficients. The specific expression for the minimum reverse power function A is: in, N The number of traction substations; P i- Let be the reverse power of the i-th substation; The specific expression for the optimal power quality function B is as follows: in, I i- To pass the first i The negative sequence current calculated from the power of the two power supply arms of a substation; The specific expression for the composite function x1A+x2B is: 。 2. The energy dispatching method for a power supply system according to claim 1, characterized in that, The process of establishing functions between different optimization objectives and the instructions of each power fusion device according to a preset mode, solving the functions using an optimization algorithm to obtain the instructions of each power fusion device, and transmitting the instructions to each power fusion device through the communication system, with the power fusion device operating according to the instructions, includes the following: The first step is for each measuring device to collect real-time power data from the two power supply arms and the power fusion device within its respective traction substation; The second step is for the communication system to transmit real-time power data to the main control platform. The third step involves the main control platform establishing optimization functions based on preset operating modes. Specifically, this includes: establishing a minimum reverse power function A when the operating mode considers reverse power; establishing an optimal power quality function B when the operating mode considers power quality; and establishing a composite function x1A+x2B by weighted combination of the minimum reverse power function A and the optimal power quality function B when the operating mode considers both simultaneously. Subsequently, the optimization functions are solved using a genetic algorithm or a particle swarm optimization algorithm to obtain the instructions for each power fusion device. Fourth step: The communication system sends the instruction to each power fusion device; Fifth, each power fusion device operates according to the instructions.
3. An energy dispatching system for a power supply system, characterized in that, The system includes: a power fusion device, a measuring device, a main control platform, and a communication system; The power fusion device is an AC-DC-AC converter, which is connected in parallel between two adjacent traction substations to establish an electrical connection path between the two traction substations; The measuring device is used to measure and collect real-time power data of the two power supply arms inside all traction substations in the system and the power fusion device. The main control platform calculates the instructions for each power fusion device in the system based on the real-time power data. The communication system is used for data transmission between the main control platform and all traction substations and power fusion devices within the system, including transmitting the measured real-time power data to the main control platform and transmitting the instructions calculated by the main control platform to each power fusion device. After receiving real-time power data, the main control platform establishes functions between different optimization objectives and the instructions of each power fusion device according to a preset mode. The optimization algorithm is used to solve the functions to obtain the instructions of each power fusion device. The communication system transmits the instructions to each power fusion device, and the power fusion device works according to the instructions to transmit energy between traction substations. The preset modes include: minimum reverse power, optimal power quality of the system, and a weighted combination of minimum reverse power and power quality of the system. Among them, the function formed by the weighted combination of minimum reverse power and system power quality is a composite function x1A+x2B, where A is the function of minimum reverse power, B is the function of optimal power quality, and x1 and x2 are weighting coefficients. The specific expression for the minimum reverse power function A is: in, N The number of traction substations; P i- Let be the reverse power of the i-th substation; The specific expression for the optimal power quality function B is as follows: in, I i- To pass the first i The negative sequence current calculated from the power of the two power supply arms of a substation; The specific expression for the composite function x1A+x2B is: 。 4. The energy dispatching system for a power supply system according to claim 3, characterized in that, The power fusion device includes: a main circuit and a control system; The main circuit is an AC-DC-AC converter, with AC sides consisting of AC bridge arms and transformers, which are connected to the traction network through the transformers. The DC side in the middle consists of a supporting capacitor and a secondary filter circuit connected in parallel. The control system is divided into two parts. The first part is responsible for controlling the DC voltage of the main circuit, and the second part is responsible for controlling the magnitude and direction of the current in the main circuit according to the instructions of the power fusion device.
5. The energy dispatching system for a power supply system according to claim 4, characterized in that, The voltage controller in the first part of the control system is based on DC voltage. V dc With DC voltage command V dc * The error between them is used to calculate the AC current amplitude command for the first part. I ac1 * Meanwhile, the first part of the phase-locked loop circuit (PLL) receives AC voltage. u ac1 phase θ 1; Combine the AC current amplitude instructions from Part 1 I ac1 * With phase θ 1. Obtain the AC current command for the first part. i ac1 * The first part of the current controller is based on the alternating current. i ac1 With alternating current command i ac1 * After calculating the error, the driving pulse is obtained through pulse width modulation (PWM) to control the operation of one side of the converter bridge arm.
6. The energy dispatching system for a power supply system according to claim 5, characterized in that, AC current amplitude command of the second part of the control system I ac2 * The calculation is performed directly based on the instructions from the power fusion device, while the AC voltage is obtained from the phase-locked loop (PLL) circuit in the second part. u ac2 phase θ 2; Combine the AC current amplitude instructions from Part Two I ac2 * With phase θ 2. Obtain the AC current command in the second part. i ac2 * The second part, the current controller, is based on the alternating current. i ac2 With alternating current command i ac2 * After calculating the error between them, the drive pulse is obtained through pulse width modulation (PWM) to control the operation of the other converter bridge arm.
7. An electronic device, characterized in that, It includes a main control platform that executes the steps in the energy scheduling method for a power supply system as described in claim 1 or 2.
Citation Information
Patent Citations
Uniform energy storage and conversion control system
CN106159982A
Energy optimization and scheduling method and device
CN113765151A
