Coordinated scheduling method and device for multi-regional power grid, electronic equipment and storage medium

Abstract

The invention discloses a coordinated dispatching method and device for a multi-regional power grid, electronic equipment and a storage medium, and belongs to the technical field of power dispatching, and the method comprises the steps: obtaining node power parameters and node electricity price parameters between regions of the power grid; according to the node electric power parameters and the node electricity price parameters, by taking the economic benefit maximization of the corresponding region as a target, constructing a region scheduling model of each region of the power grid and a corresponding constraint condition; wherein the constraint condition comprises boundary voltage constraint; composition parameters of the boundary voltage constraint comprise a tie line voltage reference value and a tie line phase angle reference value; and repeatedly executing the boundary coupling iteration operation until the power difference values of the corresponding nodes at the two ends of all the tie lines do not exceed a preset error threshold value, and generating a final power grid overall output plan. According to the invention, the problem that the multi-regional power grid dispatching is not accurate enough in the prior art can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power dispatching, and in particular to a coordinated dispatching method, device, electronic equipment and storage medium for a multi-region power grid. Background Art

[0002] With the continuous expansion of power systems and the increasing penetration of renewable energy, the structure of modern power grids is becoming increasingly complex and diverse. Traditional centralized power grids have evolved into multi-regional grids, comprised of multiple independent yet closely interconnected regions. Each region not only possesses its own unique generation resources, load characteristics, and operational constraints, but is also interconnected with neighboring regions through tie lines. The coordinated dispatch of multi-regional power grids is not only crucial for the safe and stable operation of each region, but also directly impacts the economic benefits and power supply reliability of the entire grid.

[0003] Currently, most grid dispatching schemes typically treat multi-regional grids as a single entity, ignoring the differences between regions. While this integrated dispatching approach facilitates unified management, it often results in insufficient dispatching precision and hinders the full utilization of the regulation potential of each region. This not only limits the dispatching scheme's ability to adapt to diverse and dynamically changing operational requirements, but also makes it difficult to meet the actual requirements of modern grid development. Summary of the Invention

[0004] Embodiments of the present invention provide a coordinated scheduling method, device, electronic device, and storage medium for a multi-region power grid, which can solve the problem of inaccurate scheduling of multi-region power grids in the prior art.

[0005] An embodiment of the present invention provides a coordinated scheduling method for a multi-region power grid, including:

[0006] Obtaining node power parameters and node electricity price parameters between each area of ​​the power grid; wherein the nodes include nodes corresponding to both ends of the tie line;

[0007] Based on the node power parameters and the node electricity price parameters, with the goal of maximizing the economic benefits of the corresponding region, a regional dispatch model and corresponding constraints are constructed for each region of the power grid; wherein the constraints include a boundary voltage constraint; and the component parameters of the boundary voltage constraint include a tie line voltage reference value and a tie line phase angle reference value;

[0008] Repeat the boundary coupling iteration operation until the power difference between the corresponding nodes at both ends of all tie lines does not exceed the preset error threshold, and generate the final overall power grid output plan;

[0009] Dispatch the power grid according to the final overall power grid output plan;

[0010] The boundary coupling iterative operation includes:

[0011] Under the current constraints, the regional dispatch model of each area of ​​the power grid is solved to generate the current node output plan of each area of ​​the power grid; wherein the initial tie line voltage reference value and tie line phase angle reference value are preset values;

[0012] Determine the current overall power grid output plan based on the current node output plans of each area of ​​the power grid;

[0013] Performing power flow calculations based on the current overall power output plan of the power grid to generate current power values ​​of the nodes at both ends of each tie line; and calculating and generating current power differences corresponding to each tie line based on the current power values ​​of the nodes at both ends of each tie line;

[0014] Determine whether the power difference corresponding to the tie line exceeds the preset error threshold. If so, calculate the updated tie line voltage reference value and tie line phase angle reference value according to the preset update coefficient to obtain the updated constraint conditions; if not, use the current overall power grid output plan as the final overall power grid output plan.

[0015] Furthermore, the regional scheduling model includes:

[0016]

[0017] Among them, f r is the regional economic benefit of region r; j r is the jth node in region r; is the node set of region r; T is the total number of running time periods; is node j in region r r The electric energy transaction function identification variable is a 0-1 variable, 0 represents node j r Not participating in electricity trading, 1 means node j r Participate in electricity trading; is the electricity selling price of region r when participating in the electricity trading during the operation period t; is node j in region r r The electricity sales power when participating in the electricity trading during the operation period t; is the electricity purchase price of region r when participating in the electricity trading during the operation period t; is node j in region r r The power purchased when participating in the electricity transaction during the operating period t; is node j in region r r The auxiliary service function identification variable is 0-1 variable, 0 means node j r Not participating in auxiliary services, 1 means node j r Participation in auxiliary services; is the ancillary service compensation price for region r during operation period t; is node j in region r r Auxiliary power provided when participating in ancillary services during operating period t; is node j in region r r Whether it is an energy storage device node identification variable, a 0-1 variable, 0 means node j r Not an energy storage device node, 1 indicates node j r It is the energy storage device node; is the price of using energy storage equipment in region r; is the node j in region r during the running period t r Energy storage charging and discharging power; is node j in region r r Whether it is a load transfer node identification variable, a 0-1 variable, 0 means node j r It is not a load-transferable node, 1 indicates node j r It is a transferable load node; is the price of transferable load usage in region r; is the node j of region r during the running period t r Transferable load regulation power.

[0018] Furthermore, the boundary voltage constraint includes:

[0019]

[0020] in, is node j in region r r Voltage during operating period t; is node j in region r r Corresponding tie line voltage reference value; is node j in region r r Phase angle during the operation period t; is node j in region r r Corresponding tie line phase angle reference value; ε V is the preset tie line voltage tolerance constant; ε θ is the preset tie line phase angle tolerance constant; is the set of boundary nodes of region r, that is, the set of nodes corresponding to the two ends of the contact line.

[0021] Furthermore, the constraint conditions also include node output operation constraints; the node output operation constraints include: node power transaction power constraints, node auxiliary service power constraints, energy storage output power constraints, and transferable load regulation power constraints;

[0022] The node electric energy transaction power constraint includes:

[0023]

[0024] in, is node j in region r r The electric energy transaction function identification variable is a 0-1 variable, 0 represents node j r Not participating in electricity trading, 1 means node j r Participate in electricity trading; is node j in region r r The electricity sales power when participating in the electricity trading during the operation period t; is node j in region r r The power purchased when participating in electricity trading during the operating period; is node j in region r r The upper limit of electricity sales power; is node j in region r r The upper limit of power purchase;

[0025] The node-assisted service power constraint includes:

[0026]

[0027] in, is node j in region r r The auxiliary service function identification variable is 0-1 variable, 0 means node j r Not participating in auxiliary services, 1 means node j r Participation in auxiliary services; is node j in region r r Auxiliary power provided when participating in ancillary services during operating period t; is node j in region r r The auxiliary power limit;

[0028] The energy storage output power constraint includes:

[0029]

[0030] in, is node j in region r r Whether it is an energy storage device node identification variable, a 0-1 variable, 0 means node j r Not an energy storage device node, 1 indicates node j r It is the energy storage device node; is the node j in region r during the running period t r Energy storage charging and discharging power; is node j in region r r The upper limit of energy storage charging and discharging power;

[0031] The transferable load adjustment power constraint includes:

[0032]

[0033] in, is node j in region r r Whether it is a load transfer node identification variable, a 0-1 variable, 0 means node j r It is not a load-transferable node, 1 indicates node j r It is a transferable load node; is the node j of region r during the running period t r Transferable load regulation power; is node j in region r r The transferable load adjusts the power upper limit.

[0034] Furthermore, the constraint conditions also include regional balance constraints; the regional balance constraints include: energy storage equipment energy balance constraints, and total transferable load constraints;

[0035] The energy balance constraint of the energy storage device includes:

[0036]

[0037] in, is the node j in region r during the running period t r The state of charge of the energy storage device; is the node j in region r during the running period t-1 r The state of charge of the energy storage device; is the node j in the region r during the running period r Energy storage charging and discharging power; is the energy storage device node j r Charging efficiency in region r; is the energy storage device node j r Discharge efficiency in region r; is the energy storage device node j r The lower limit of the state of charge in region r; is the energy storage device node j r The upper limit of the state of charge in region r; Δt is the duration of the operating time interval;

[0038] The total amount of transferable load constraints include:

[0039]

[0040] in, is the node j of region r during the running period t rThe transferable load adjustment power; Δt is the interval length of the operating period; T is the total number of operating periods; is node j in region r r Whether it is a load transfer node identification variable, a 0-1 variable, 0 means node j r It is not a load-transferable node, 1 indicates node j r It is a transferable load node; For node j in region r r The maximum total amount of electricity that can be transferred.

[0041] Furthermore, a power flow calculation is performed based on the current overall power output plan of the power grid to generate the current power values ​​of the nodes at both ends of each tie line, including:

[0042] Obtain the topological structure of the power grid and the parameters of the interconnection lines between different areas of the power grid;

[0043] Constructing an AC power flow model according to the topological structure and the tie line parameters;

[0044] The current overall power grid output plan is injected into the AC power flow model, and the current voltage and phase angle of the corresponding nodes at both ends of each tie line are generated through numerical iteration.

[0045] The current power values ​​of the nodes at both ends of each tie line are calculated and generated based on the current voltages of the nodes at both ends of each tie line and the current phase angles of the nodes at both ends of each tie line.

[0046] Based on the above method embodiments, the present invention provides corresponding device embodiments.

[0047] An embodiment of the present invention provides a coordinated dispatching device for a multi-region power grid, comprising: a data acquisition module, a regional dispatching model construction module, a boundary coupling iteration module, and a power grid dispatching module;

[0048] The data acquisition module is used to obtain node power parameters and node electricity price parameters between various areas of the power grid; wherein the nodes include nodes corresponding to both ends of the tie line;

[0049] The regional dispatch model construction module is used to construct a regional dispatch model and corresponding constraints for each area of ​​the power grid based on the node power parameters and the node electricity price parameters, with the goal of maximizing the economic benefits of the corresponding region; wherein the constraints include boundary voltage constraints; the component parameters of the boundary voltage constraints include a tie line voltage reference value and a phase angle reference value;

[0050] The boundary coupling iteration module is used to repeatedly perform boundary coupling iteration operations until the power differences of the corresponding nodes at both ends of all tie lines do not exceed a preset error threshold, thereby generating a final overall power grid output plan; wherein, the boundary coupling iteration operation includes: solving the regional scheduling model of each area of ​​the power grid under the current constraint conditions to generate the current node output plan of each area of ​​the power grid; wherein, the initial tie line voltage reference value and tie line phase angle reference value are preset values; determining the current overall power grid output plan according to the current node output plan of each area of ​​the power grid; performing power flow calculation according to the current overall power grid output plan to generate the current power values ​​of the nodes at both ends of each tie line; calculating and generating the current power difference corresponding to each tie line according to the current power values ​​of the nodes at both ends of each tie line; judging whether there is a power difference corresponding to a tie line that exceeds the preset error threshold, and if so, calculating the updated tie line voltage reference value and tie line phase angle reference value according to the preset update coefficient to obtain the updated constraint conditions; if not, taking the current overall power grid output plan as the final overall power grid output plan;

[0051] The power grid dispatching module is used to dispatch the power grid according to the final overall power grid output plan.

[0052] Furthermore, the boundary coupling iteration module performs power flow calculation according to the current overall power grid output plan to generate current power values ​​of nodes at both ends of each tie line, including:

[0053] Obtain the topological structure of the power grid and the parameters of the interconnection lines between different areas of the power grid;

[0054] Constructing an AC power flow model according to the topological structure and the tie line parameters;

[0055] The current overall power grid output plan is injected into the AC power flow model, and the current voltage and phase angle of the corresponding nodes at both ends of each tie line are generated through numerical iteration.

[0056] The current power values ​​of the nodes at both ends of each tie line are calculated and generated based on the current voltages of the nodes at both ends of each tie line and the current phase angles of the nodes at both ends of each tie line.

[0057] Based on the above method embodiment, the present invention provides a corresponding electronic device embodiment.

[0058] An embodiment of the present invention provides an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the coordinated scheduling method of a multi-regional power grid as described in any one of the above-mentioned method embodiments.

[0059] Based on the above method embodiment, the present invention provides a corresponding storage medium embodiment.

[0060] An embodiment of the present invention provides a storage medium having a computer program stored thereon, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the coordinated scheduling method of a multi-regional power grid as described in any one of the above-mentioned method embodiments.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] The embodiments of the present invention provide a coordinated scheduling method, device, electronic device and storage medium for a multi-regional power grid. The method obtains node power parameters and node electricity price parameters between each region of the power grid, and constructs a regional scheduling model and corresponding constraints for each region of the power grid around the maximization of economic benefits of each region, which includes a key boundary voltage constraint, which consists of a tie line voltage reference value and a phase angle reference value. By adopting a boundary coupling iterative operation, by repeatedly solving each regional scheduling model and combining it with the flow calculation, the voltage reference value and phase angle reference value of the nodes at both ends of the tie line are gradually adjusted until the power difference of all nodes at both ends of the tie line is controlled within a preset error threshold, thereby generating a final overall power grid output plan and performing scheduling accordingly.

[0063] This method establishes independent dispatch models for each region, combining boundary voltage constraints with an iterative coupling mechanism to achieve effective coordination and optimization between regions, avoiding the problem of insufficient dispatch accuracy in unified dispatch of the entire power grid. This method fully utilizes the unique node power parameters and node electricity price parameters of each region to construct a mathematical model, significantly improving the refinement and pertinence of the regional dispatch model, making the dispatch results more aligned with actual operational needs, fully tapping and leveraging the regulation potential of each region, and improving dispatch accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a flow chart of a coordinated dispatching method for a multi-region power grid provided by one embodiment of the present invention.

[0065] Figure 2 It is a structural diagram of a coordinated dispatching device for a multi-region power grid provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0066] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0067] like Figure 1 As shown, in order to solve the problem of inaccurate multi-regional power grid scheduling in the prior art, an embodiment of the present invention provides a coordinated scheduling method for multi-regional power grids, which includes at least the following steps:

[0068] Step S1: Obtain node power parameters and node electricity price parameters between various areas of the power grid; wherein the nodes include nodes corresponding to both ends of the tie line.

[0069] Specifically, in a multi-region power grid, each region consists of multiple grid nodes. Some nodes are connected to adjacent regions through interconnection lines. That is, the nodes corresponding to the two ends of the interconnection lines can be called boundary nodes. The remaining nodes located within the region and not directly connected to other regions are called non-boundary nodes.

[0070] In this step, the node power parameters obtained include but are not limited to: the node's voltage amplitude, phase angle, electric energy trading function identification variable, auxiliary service function identification variable, energy storage device node identification variable, transferable load node identification variable charge state, power sales power upper limit, power purchase power upper limit, auxiliary power upper limit, energy storage charging and discharging power upper limit, charge state upper limit, charging efficiency, discharge efficiency and maximum transferable total power, etc., which are mainly used to describe the current electrical operation status of the node; the node electricity price parameter refers to the economic parameter used to reflect the node's electricity consumption cost or power generation income, including the electricity sales price when participating in electric energy trading, the electricity purchase price when participating in electric energy trading, the ancillary service compensation price, the energy storage equipment use price and the transferable load use price marginal electricity price, which are used to guide the construction of the scheduling optimization objective function.

[0071] Boundary nodes, as key interfaces for inter-regional coupling, form the core foundation for subsequently constructing boundary voltage constraints and implementing cross-regional coordinated dispatch. Non-boundary nodes reflect the internal power distribution and operating conditions of each region, constituting the internal constraints and optimization space of the regional dispatch model. By comprehensively acquiring power parameters and electricity price parameters for various nodes, we provide complete basic data support for building a refined, regionally differentiated dispatch model.

[0072] Step S2: Based on the node power parameters and the node electricity price parameters, with the goal of maximizing the economic benefits of the corresponding region, construct a regional dispatch model and corresponding constraints for each area of ​​the power grid; wherein the constraints include boundary voltage constraints; the component parameters of the boundary voltage constraints include a tie line voltage reference value and a tie line phase angle reference value.

[0073] Specifically, based on the node power parameters and node electricity price parameters, and with the maximization of economic benefits in each region as the optimization goal, a regional dispatch model and its corresponding constraints are constructed for each region in the power grid. This dispatch model is based on the operating status of all nodes in the region, comprehensively considering various business needs such as power trading, ancillary services, energy storage regulation, and transferable loads, and quantifying the output behavior and economic contribution of various types of nodes in different operating periods. The model introduces node-level functional identification parameters in the benefit calculation to characterize whether different nodes have a certain regulation capability, thereby achieving refined modeling and scheduling of multiple types of nodes in the region.

[0074] The nodes include both boundary nodes connected to other regions through tie lines and non-tie nodes within the region. The constraints in the model are used to ensure that various output behaviors comply with the physical characteristics of operation and system safety requirements. Among them, the boundary voltage constraint, as the core mechanism of cross-regional coordinated scheduling, is specifically composed of the tie line voltage reference value and the tie line phase angle reference value. It is used to unify the electrical boundary conditions between different regions and ensure the convergence and coordination of the power flow solution. By constructing the above-mentioned regional scheduling model, the operating characteristics and regulation potential within the region can be accurately reflected, providing a high-quality scheduling foundation for subsequent cross-regional coupling optimization.

[0075] In a preferred embodiment, the regional scheduling model includes:

[0076]

[0077] Among them, f r is the regional economic benefit of region r; j r is the jth node in region r; is the node set of region r; T is the total number of running time periods; is node j in region r r The electric energy transaction function identification variable is a 0-1 variable, 0 represents node j r Not participating in electricity trading, 1 means node j r Participate in electricity trading; is the electricity selling price of region r when participating in the electricity trading during the operation period t; is node j in region r r The electricity sales power when participating in the electricity trading during the operation period t; is the electricity purchase price of region r when participating in the electricity trading during the operation period t; is node j in region r r The power purchased when participating in the electricity transaction during the operating period t; is node j in region r r The auxiliary service function identification variable is 0-1 variable, 0 means node jr Not participating in auxiliary services, 1 means node j r Participation in auxiliary services; is the ancillary service compensation price for region r during operation period t; is node j in region r r Auxiliary power provided when participating in ancillary services during operating period t; is node j in region r r Whether it is an energy storage device node identification variable, a 0-1 variable, 0 means node j r Not an energy storage device node, 1 indicates node j r It is the energy storage device node; is the price of using energy storage equipment in region r; is the node j in region r during the running period t r Energy storage charging and discharging power; is node j in region r r Whether it is a load transfer node identification variable, a 0-1 variable, 0 means node j r It is not a load-transferable node, 1 indicates node j r It is a transferable load node; is the price of transferable load usage in region r; is the node j of region r during the running period t r Transferable load regulation power.

[0078] It's important to note that in regional dispatch models, the charge and discharge power of energy storage devices is divided into positive and negative values, a key indicator of their operating characteristics. When the energy storage device is discharging, it releases energy to the grid, acting as a power source, and the charge and discharge power is positive. When the energy storage device is charging, it absorbs energy from the grid for storage, acting as a load, and the corresponding charge and discharge power is negative. This distinction between positive and negative power not only helps distinguish the operating direction of energy storage devices but also facilitates unified modeling of their economic performance and operational constraints within the model, enabling precise scheduling and reasonable evaluation of the bidirectional regulation capabilities of energy storage devices.

[0079] In a preferred embodiment, the boundary voltage constraint includes:

[0080]

[0081] in, is node j in region r r Voltage during operating period t; is node j in region r r Corresponding tie line voltage reference value; is node j in region r r Phase angle during the operation period t; is node j in region r r Corresponding tie line phase angle reference value; ε V is the preset tie line voltage tolerance constant; ε θ is the preset tie line phase angle tolerance constant; is the set of boundary nodes of region r, that is, the set of nodes corresponding to the two ends of the contact line.

[0082] In a preferred embodiment, the constraint conditions further include node output operation constraints; the node output operation constraints include: node power transaction power constraints, node auxiliary service power constraints, energy storage output power constraints, and transferable load regulation power constraints;

[0083] The node electric energy transaction power constraint includes:

[0084]

[0085] in, is node j in region r r The electric energy transaction function identification variable is a 0-1 variable, 0 represents node j r Not participating in electricity trading, 1 means node j r Participate in electricity trading; is node j in region r r The electricity sales power when participating in the electricity trading during the operation period t; is node j in region r r The power purchased when participating in electricity trading during the operating period; is node j in region r r The upper limit of electricity sales power; is node j in region r r The upper limit of power purchase;

[0086] The node-assisted service power constraint includes:

[0087]

[0088] in, is node j in region r r The auxiliary service function identification variable is 0-1 variable, 0 means node j r Not participating in auxiliary services, 1 means node j r Participation in auxiliary services; is node j in region r r Auxiliary power provided when participating in ancillary services during operating period t; is node j in region r r The auxiliary power limit;

[0089] The energy storage output power constraint includes:

[0090]

[0091] in, is node j in region r r Whether it is an energy storage device node identification variable, a 0-1 variable, 0 means node j r Not an energy storage device node, 1 indicates node j r It is the energy storage device node; is the node j in region r during the running period t r Energy storage charging and discharging power; is node j in region r r The upper limit of energy storage charging and discharging power;

[0092] The transferable load adjustment power constraint includes:

[0093]

[0094] in, is node j in region r r Whether it is a load transfer node identification variable, a 0-1 variable, 0 means node j r It is not a load-transferable node, 1 indicates node j r It is a transferable load node; is the node j of region r during the running period t r Transferable load regulation power; is node j in region r r The transferable load adjusts the power upper limit.

[0095] In an optional embodiment, the constraint condition further includes a regional balance constraint; the regional balance constraint includes: an energy storage device energy balance constraint, and a total transferable load constraint;

[0096] The energy balance constraint of the energy storage device includes:

[0097]

[0098] in, is the node j in region r during the running period t r The state of charge of the energy storage device; is the node j in region r during the running period t-1 r The state of charge of the energy storage device; is the node j in region r during the running period t r Energy storage charging and discharging power; is the energy storage device node j r Charging efficiency in region r; is the energy storage device node j r Discharge efficiency in region r; is the energy storage device node j r The lower limit of the state of charge in region r; is the energy storage device node j r The upper limit of the state of charge in region r; Δt is the duration of the operating time interval;

[0099] The total amount of transferable load constraints include:

[0100]

[0101] in, is the node j of region r during the running period t r The transferable load adjustment power; Δt is the interval length of the operating period; T is the total number of operating periods; is node j in region r r Whether it is a load transfer node identification variable, a 0-1 variable, 0 means node j r It is not a load-transferable node, 1 indicates node j r It is a transferable load node; For node j in region r r The maximum total amount of electricity that can be transferred.

[0102] Step S3: Repeat the boundary coupling iteration operation until the power differences of the corresponding nodes at both ends of all tie lines do not exceed the preset error threshold, and generate the final overall power grid output plan.

[0103] In a preferred embodiment, the boundary coupling iterative operation includes:

[0104] Under the current constraints, the regional dispatch model of each area of ​​the power grid is solved to generate the current node output plan of each area of ​​the power grid; wherein the initial tie line voltage reference value and tie line phase angle reference value are preset values;

[0105] Determine the current overall power grid output plan based on the current node output plans of each area of ​​the power grid;

[0106] Performing power flow calculations based on the current overall power output plan of the power grid to generate current power values ​​of the nodes at both ends of each tie line; and calculating and generating current power differences corresponding to each tie line based on the current power values ​​of the nodes at both ends of each tie line;

[0107] Determine whether the power difference corresponding to the tie line exceeds the preset error threshold. If so, calculate the updated tie line voltage reference value and tie line phase angle reference value according to the preset update coefficient to obtain the updated constraint conditions; if not, use the current overall power grid output plan as the final overall power grid output plan.

[0108] Specifically, under current constraints, the regional dispatch model for each area of ​​the power grid is solved to generate the current output plan for each regional node. Commonly used solution methods include mixed integer linear programming (MILP), nonlinear programming (NLP), second-order cone programming (SOCP), genetic algorithm, particle swarm optimization, and co-evolutionary algorithm (CEA). All of these methods can be used to solve the regional dispatch model for each area of ​​the power grid.

[0109] It should be noted that the current node output plan of each area of ​​the power grid includes the power sold when participating in power trading, the power purchased when participating in power trading, the energy storage charging and discharging power, and the transferable load adjustment power.

[0110] The initial tie-line voltage and phase angle reference values ​​are primarily derived directly from statistical analysis of historical operating data. These data are derived from voltage and phase angle measurements taken during actual grid operation. By filtering and averaging the raw data collected over a period of time and removing abnormal fluctuations, we obtain stable and representative statistical reference values ​​for voltage amplitude and phase angle under typical operating conditions. These statistical reference values ​​themselves serve as the initial input for the boundary voltage in the dispatch model.

[0111] Furthermore, to ensure these statistical reference values ​​conform to the physical laws of steady-state grid operation, steady-state power flow calculations can be used to simulate and verify the overall grid operation. Power flow calculations verify the rationality of the statistical reference values. If they do not meet the system's steady-state requirements, the reference values ​​can be appropriately adjusted to align with actual operating data while meeting the power system's power flow equilibrium conditions. In this way, statistical data and power flow calculations complement each other: statistical data provides the initial reference values, while power flow calculations provide verification and correction, ensuring that the preset voltage and phase angle reference values ​​are both realistic and scientific, laying a solid foundation for solving the subsequent dispatch model.

[0112] Specifically, based on the current node output plans of each area of ​​the power grid, the current overall power grid output plan is determined, including:

[0113] Based on the current node output plans for each region of the power grid, node output data from each region is aggregated and integrated to form an overall output plan for the entire power grid. This process provides a solid foundation for subsequent iterative optimization.

[0114] In a preferred embodiment, the power flow calculation is performed according to the current overall power output plan of the power grid to generate the current power values ​​of the nodes at both ends of each tie line, including:

[0115] Obtain the topological structure of the power grid and the parameters of the interconnection lines between different areas of the power grid;

[0116] Constructing an AC power flow model according to the topological structure and the tie line parameters;

[0117] The current overall power grid output plan is injected into the AC power flow model, and the current voltage and phase angle of the corresponding nodes at both ends of each tie line are generated through numerical iteration.

[0118] The current power values ​​of the nodes at both ends of each tie line are calculated and generated based on the current voltages of the nodes at both ends of each tie line and the current phase angles of the nodes at both ends of each tie line.

[0119] Specifically, the topology of the power grid and the parameters of the interconnection lines between regions are obtained. These parameters cover the electrical characteristics of the lines, such as impedance and susceptance, and constitute the physical foundation of the power grid. Based on the obtained topology and interconnection line parameters, a complete AC power flow model is established, which can describe the distribution patterns of voltage, current, and power in the power grid. The current overall power output plan of the power grid is injected into the AC power flow model as an input condition, and the solution is obtained through a numerical iterative method. The voltage amplitude and phase angle of each node are calculated during the iteration process until convergence. During the iterative solution process, traditional and efficient power flow calculation algorithms such as the Newton-Raphson method are often used to ensure the stability and accuracy of the calculation. Based on the voltage amplitude and phase angle of the nodes at both ends of each interconnection line in the power flow calculation results, the actual power flow of the corresponding nodes at both ends of the interconnection line is further calculated, thereby clarifying the current power distribution and providing accurate basic data for subsequent scheduling adjustments and boundary condition updates.

[0120] Specifically, the current power difference corresponding to each tie line is calculated based on the current power values ​​of the nodes at both ends of each tie line, including: based on the current power values ​​of the corresponding nodes at both ends of the tie line, calculating the absolute difference between the two as the current power difference corresponding to each tie line.

[0121] After completing the power flow calculation and obtaining the current power values ​​at the nodes at both ends of each tie line, the current power difference corresponding to each tie line is calculated to determine whether any tie line's power difference exceeds a preset error threshold. This error threshold is typically set to a small tolerance range to ensure power balance and scheduling accuracy at both ends of the tie line. If the power difference exceeds this threshold, it indicates that the current output plan has not yet met the convergence requirements for coordinated scheduling of multi-regional power grids, and further adjustment of boundary conditions is required to optimize the scheduling results. At this point, the tie line voltage reference value and tie line phase angle reference value are corrected based on the preset update coefficients. The updated reference values ​​can more accurately reflect the current grid operating status and power flow distribution, thereby forming new constraints. Using these updated constraints, the iterative process of solving the scheduling model and power flow calculation is re-entered to continuously narrow the tie line power difference and improve the coordination and accuracy of the scheduling plan.

[0122] On the contrary, if the power differences of all interconnecting lines are within the error threshold, it means that the dispatching models of various areas of the power grid have been effectively coordinated, and the current overall power grid output plan meets the dispatching accuracy requirements. The system will determine this plan as the final overall power grid output plan for actual dispatching execution.

[0123] In the specific implementation, the tie line voltage reference value and tie line phase angle reference value are updated by the following formula:

[0124]

[0125] in, is the node j in region r in the k+1th iteration r Corresponding tie line voltage reference value; is the node j in region r in the kth iteration r Corresponding tie line voltage reference value; is the node j in region s in the k+1th iteration s Corresponding tie line voltage reference value; is the region r node j of the k+1th iteration r Corresponding tie line phase angle reference value; is the node j in region r in the kth iteration r Corresponding tie line phase angle reference value; is the node j in region s in the kth iteration s The corresponding tie line phase angle reference value; α is the preset voltage update coefficient; β is the preset phase angle update coefficient.

[0126] It should be noted that the boundary voltage constraint in the present invention That is, the tie line voltage reference value after iterative update; It is the tie line phase angle reference value after iterative update; node j s and j r are the nodes corresponding to the two ends of the tie line, and area s and area r are connected by the tie line.

[0127] It is understandable that the core purpose of setting boundary voltage constraints in the present invention is to establish a coupling relationship between regions in the coordinated optimization scheduling of multi-region power grids, and to ensure that each region can achieve consistent and physically feasible power exchange through the tie line when solving independent scheduling. After the power grid is partitioned, the scheduling model of each region is often constructed and solved separately, and the voltage amplitude and phase angle of the nodes at both ends of the tie line jointly determine the direction and size of the power flow of the tie line. Therefore, if no constraints are imposed, each region may generate physically inconsistent or conflicting boundary conditions during the scheduling process (such as a region sending power to the outside, but the adjacent region has not made corresponding receiving arrangements), which will lead to coordination failure or infeasible power flow.

[0128] By setting boundary voltage constraints and using the tie-line voltage reference and phase angle reference as external input parameters, the intra-regional scheduling problem can be formally decoupled to facilitate parallel solution. After the initial round of solutions, the boundary power outputs of each region need to be compared to determine if there are power deviations exceeding an error threshold. If there are deviations, it indicates that the current boundary reference values ​​cannot accurately reflect the actual power exchange between regions. In this case, the tie-line voltage reference and phase angle reference values ​​need to be modified to adjust the boundary conditions and guide the regional scheduling results to gradually become more consistent.

[0129] This mechanism of continuously updating boundary reference values ​​essentially achieves the unification of regional independent scheduling and network-wide consistent power flow through iterative approximation, a typical distributed optimization and coordination strategy. Ultimately, when all tie-line power differences fall within an acceptable range, the network-wide scheduling solution achieves both physical feasibility and economic rationality, and the optimization process concludes.

[0130] Step S4: dispatching the power grid according to the final overall power grid output plan.

[0131] In practice, based on the final overall grid output plan, the dispatch center will implement specific operational dispatch operations for the grid according to this plan. This phase primarily involves issuing clear power output instructions to each regional grid node to ensure that each power generation unit, energy storage device, and load response resource operates in a coordinated manner according to the optimization results. It also monitors real-time operating status to ensure the safe and stable operation of the grid. During the dispatch process, it is also necessary to combine the operating limitations and fault information of on-site equipment to adjust the control strategy in a timely manner to ensure the effective execution of the plan and meet the system's power balance and power quality requirements, thereby achieving the economical and efficient operation of the entire grid and the goal of multi-regional collaborative optimization.

[0132] Based on the above method embodiments, the present invention provides corresponding device embodiments.

[0133] like Figure 2 As shown, an embodiment of the present invention provides a coordinated dispatching device for a multi-region power grid, comprising: a data acquisition module, a regional dispatching model building module, a boundary coupling iteration module, and a power grid dispatching module;

[0134] The data acquisition module is used to obtain node power parameters and node electricity price parameters between various areas of the power grid; wherein the nodes include nodes corresponding to both ends of the tie line;

[0135] The regional dispatch model construction module is used to construct a regional dispatch model and corresponding constraints for each area of ​​the power grid based on the node power parameters and the node electricity price parameters, with the goal of maximizing the economic benefits of the corresponding region; wherein the constraints include boundary voltage constraints; the component parameters of the boundary voltage constraints include a tie line voltage reference value and a phase angle reference value;

[0136] The boundary coupling iteration module is used to repeatedly perform boundary coupling iteration operations until the power differences of the corresponding nodes at both ends of all tie lines do not exceed a preset error threshold, thereby generating a final overall power grid output plan; wherein, the boundary coupling iteration operation includes: solving the regional scheduling model of each area of ​​the power grid under the current constraint conditions to generate the current node output plan of each area of ​​the power grid; wherein, the initial tie line voltage reference value and tie line phase angle reference value are preset values; determining the current overall power grid output plan according to the current node output plan of each area of ​​the power grid; performing power flow calculation according to the current overall power grid output plan to generate the current power values ​​of the nodes at both ends of each tie line; calculating and generating the current power difference corresponding to each tie line according to the current power values ​​of the nodes at both ends of each tie line; judging whether there is a power difference corresponding to a tie line that exceeds the preset error threshold, and if so, calculating the updated tie line voltage reference value and tie line phase angle reference value according to the preset update coefficient to obtain the updated constraint conditions; if not, taking the current overall power grid output plan as the final overall power grid output plan;

[0137] The power grid dispatching module is used to dispatch the power grid according to the final overall power grid output plan.

[0138] In a preferred embodiment, the boundary coupling iteration module performs power flow calculation according to the current overall power grid output plan to generate current power values ​​of nodes at both ends of each tie line, including:

[0139] Obtain the topological structure of the power grid and the parameters of the interconnection lines between different areas of the power grid;

[0140] Constructing an AC power flow model according to the topological structure and the tie line parameters;

[0141] The current overall power grid output plan is injected into the AC power flow model, and the current voltage and phase angle of the corresponding nodes at both ends of each tie line are generated through numerical iteration.

[0142] The current power values ​​of the nodes at both ends of each tie line are calculated and generated based on the current voltages of the nodes at both ends of each tie line and the current phase angles of the nodes at both ends of each tie line.

[0143] It should be noted that the embodiment of the device described above corresponds to the above-mentioned embodiment of the present invention, and it can implement the coordinated scheduling method of the multi-regional power grid described in any one of the above-mentioned embodiments of the present invention. In addition, the embodiment of the above-mentioned device is merely schematic, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the embodiment of the device provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which can be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0144] Based on the above method embodiment of the present invention, a corresponding electronic device embodiment is provided.

[0145] An embodiment of the present invention provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the coordinated scheduling method of a multi-regional power grid described in any one of the present inventions is implemented, or when the processor executes the computer program, the functions of the modules in the above-mentioned device embodiments are implemented.

[0146] Exemplarily, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

[0147] The terminal device may be a computing device such as a desktop computer, a notebook computer, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0148] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, connecting various parts of the entire terminal device using various interfaces and lines.

[0149] The memory can be used to store the computer programs and / or modules. The processor implements various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created based on the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0150] Based on the above method embodiment, the present invention provides a corresponding storage medium embodiment;

[0151] Another embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute any of the above-mentioned coordinated scheduling methods of the multi-regional power grid of the present invention.

[0152] The storage medium is a computer-readable storage medium, and the computer program includes computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium may include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium.

[0153] In the description of this specification, the reference terms "one embodiment," "some embodiments," "example," "specific example," or "some examples" mean that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials, or characteristics described may be combined in any appropriate manner in any one or more embodiments or examples. In addition, those skilled in the art may combine and integrate different embodiments or examples described in this specification, as well as features of different embodiments or examples, unless they are mutually inconsistent.

[0154] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A coordinated dispatching method for a multi-regional power grid, characterized in that: include: Obtaining node power parameters and node electricity price parameters between each area of ​​the power grid; wherein the nodes include nodes corresponding to both ends of the tie line; Based on the node power parameters and the node electricity price parameters, with the goal of maximizing the economic benefits of the corresponding region, a regional dispatch model and corresponding constraints are constructed for each region of the power grid; wherein the constraints include a boundary voltage constraint; and the component parameters of the boundary voltage constraint include a tie line voltage reference value and a tie line phase angle reference value; Repeat the boundary coupling iteration operation until the power difference between the corresponding nodes at both ends of all tie lines does not exceed the preset error threshold, and generate the final overall power grid output plan; Dispatch the power grid according to the final overall power grid output plan; The boundary coupling iterative operation includes: Under the current constraints, the regional dispatch model of each area of ​​the power grid is solved to generate the current node output plan of each area of ​​the power grid; wherein the initial tie line voltage reference value and tie line phase angle reference value are preset values; Determine the current overall power grid output plan based on the current node output plans of each area of ​​the power grid; Performing power flow calculations based on the current overall power output plan of the power grid to generate current power values ​​of the nodes at both ends of each tie line; and calculating and generating current power differences corresponding to each tie line based on the current power values ​​of the nodes at both ends of each tie line; Determine whether the power difference corresponding to the tie line exceeds the preset error threshold. If so, calculate the updated tie line voltage reference value and tie line phase angle reference value according to the preset update coefficient to obtain the updated constraint conditions; if not, use the current overall power grid output plan as the final overall power grid output plan.

2. The coordinated dispatching method for a multi-regional power grid according to claim 1, wherein: The regional scheduling model includes: Among them, f r is the regional economic benefit of region r; j r is the jth node in region r; is the node set of region r; T is the total number of running time periods; is node j in region r r The electric energy transaction function identification variable is a 0-1 variable, 0 represents node j r Not participating in electricity trading, 1 means node j r Participate in electricity trading; is the electricity selling price of region r when participating in the electricity trading during the operation period t; is node j in region r r The electricity sales power when participating in the electricity trading during the operation period t; is the electricity purchase price of region r when participating in the electricity trading during the operation period t; is node j in region r r The power purchased when participating in the electricity transaction during the operating period t; is node j in region r r The auxiliary service function identification variable is 0-1 variable, 0 means node j r Not participating in auxiliary services, 1 means node j r Participation in auxiliary services; is the ancillary service compensation price for region r during operation period t; is node j in region r r Auxiliary power provided when participating in ancillary services during operating period t; is node j in region r r Whether it is an energy storage device node identification variable, a 0-1 variable, 0 means node j r Not an energy storage device node, 1 indicates node j r It is the energy storage device node; is the price of using energy storage equipment in region r; is the node j in region r during the running period t r Energy storage charging and discharging power; is node j in region r r Whether it is a load transfer node identification variable, a 0-1 variable, 0 means node j r It is not a load-transferable node, 1 indicates node j r It is a transferable load node; is the price of transferable load usage in region r; is the node j of region r during the running period t r Transferable load regulation power.

3. The coordinated dispatching method for multi-regional power grids according to claim 2, characterized in that: The boundary voltage constraint includes: in, is node j in region r r Voltage during operating period t; is node j in region r r Corresponding tie line voltage reference value; is node j in region r r Phase angle during the operation period t; is node j in region r r Corresponding tie line phase angle reference value; ε V is the preset tie line voltage tolerance constant; ε θ is the preset tie line phase angle tolerance constant; is the set of boundary nodes of region r, that is, the set of nodes corresponding to the two ends of the contact line.

4. The coordinated dispatching method for multi-regional power grids according to claim 3, characterized in that: The constraint conditions also include node output operation constraints; the node output operation constraints include: node power transaction power constraints, node auxiliary service power constraints, energy storage output power constraints and transferable load regulation power constraints; The node electric energy transaction power constraint includes: in, is node j in region r r The electric energy transaction function identification variable is a 0-1 variable, 0 represents node j r Not participating in electricity trading, 1 means node j r Participate in electricity trading; is node j in region r r The electricity sales power when participating in the electricity trading during the operation period t; is node j in region r r The power purchased when participating in the electricity transaction during the operating period t; is node j in region r r The upper limit of electricity sales power; is node j in region r r The upper limit of power purchase; The node-assisted service power constraint includes: in, is node j in region r r The auxiliary service function identification variable is 0-1 variable, 0 means node j r Not participating in auxiliary services, 1 means node j r Participation in auxiliary services; is node j in region r r Auxiliary power provided when participating in ancillary services during operating period t; is node j in region r r The auxiliary power limit; The energy storage output power constraint includes: in, is node j in region r r Whether it is an energy storage device node identification variable, a 0-1 variable, 0 means node j r Not an energy storage device node, 1 indicates node j r It is the energy storage device node; is the node j in region r during the running period t r Energy storage charging and discharging power; is node j in region r r The upper limit of energy storage charging and discharging power; The transferable load adjustment power constraint includes: in, is node j in region r r Whether it is a load transfer node identification variable, a 0-1 variable, 0 means node j r It is not a load-transferable node, 1 indicates node j r It is a transferable load node; is the node j of region r during the running period t r Transferable load regulation power; is node j in region r r The transferable load adjusts the power upper limit.

5. The coordinated dispatching method for multi-regional power grids according to claim 4, characterized in that: The constraints also include regional balance constraints; The regional balance constraints include: energy storage equipment energy balance constraints, and total transferable load constraints; The energy balance constraint of the energy storage device includes: in, is the node j in region r during the running period t r The state of charge of the energy storage device; is the node j in region r during the running period t-1 r The state of charge of the energy storage device; is the node j in region r during the running period t r Energy storage charging and discharging power; is the energy storage device node j r Charging efficiency in region r; is the energy storage device node j r Discharge efficiency in region r; is the energy storage device node j r The lower limit of the state of charge in region r; is the energy storage device node j r The upper limit of the state of charge in region r; Δt is the duration of the operating time interval; The total amount of transferable load constraints include: in, is the node j of region r during the running period t r The transferable load adjustment power; Δt is the interval length of the operating period; T is the total number of operating periods; is node j in region r r Whether it is a load transfer node identification variable, a 0-1 variable, 0 means node j r It is not a load-transferable node, 1 indicates node j r It is a transferable load node; For node j in region r r The maximum total amount of electricity that can be transferred.

6. The coordinated dispatching method for multi-regional power grids according to claim 5, characterized in that: Performing power flow calculations based on the current overall power grid output plan to generate current power values ​​at both end nodes of each tie line includes: Obtain the topological structure of the power grid and the parameters of the interconnection lines between different areas of the power grid; Constructing an AC power flow model according to the topological structure and the tie line parameters; The current overall power grid output plan is injected into the AC power flow model, and the current voltage and phase angle of the corresponding nodes at both ends of each tie line are generated through numerical iteration. The current power values ​​of the nodes at both ends of each tie line are calculated and generated based on the current voltages of the nodes at both ends of each tie line and the current phase angles of the nodes at both ends of each tie line.

7. A coordinated dispatching device for a multi-regional power grid, characterized in that: include: Data acquisition module, regional dispatch model construction module, boundary coupling iteration module and power grid dispatch module; The data acquisition module is used to obtain node power parameters and node electricity price parameters between various areas of the power grid; wherein the nodes include nodes corresponding to both ends of the tie line; The regional dispatch model construction module is used to construct a regional dispatch model and corresponding constraints for each area of ​​the power grid based on the node power parameters and the node electricity price parameters, with the goal of maximizing the economic benefits of the corresponding region; wherein the constraints include boundary voltage constraints; the component parameters of the boundary voltage constraints include a tie line voltage reference value and a phase angle reference value; The boundary coupling iteration module is used to repeatedly perform boundary coupling iteration operations until the power differences of the corresponding nodes at both ends of all tie lines do not exceed a preset error threshold, thereby generating a final overall power grid output plan; wherein, the boundary coupling iteration operation includes: solving the regional scheduling model of each area of ​​the power grid under the current constraint conditions to generate the current node output plan of each area of ​​the power grid; wherein, the initial tie line voltage reference value and tie line phase angle reference value are preset values; determining the current overall power grid output plan according to the current node output plan of each area of ​​the power grid; performing power flow calculation according to the current overall power grid output plan to generate the current power values ​​of the nodes at both ends of each tie line; calculating and generating the current power difference corresponding to each tie line according to the current power values ​​of the nodes at both ends of each tie line; judging whether there is a power difference corresponding to a tie line that exceeds the preset error threshold, and if so, calculating the updated tie line voltage reference value and tie line phase angle reference value according to the preset update coefficient to obtain the updated constraint conditions; if not, taking the current overall power grid output plan as the final overall power grid output plan; The power grid dispatching module is used to dispatch the power grid according to the final overall power grid output plan.

8. The coordinated dispatching device for a multi-regional power grid according to claim 7, characterized in that: The boundary coupling iteration module performs power flow calculation according to the current overall power grid output plan to generate current power values ​​of nodes at both ends of each tie line, including: Obtain the topological structure of the power grid and the parameters of the interconnection lines between different areas of the power grid; Constructing an AC power flow model according to the topological structure and the tie line parameters; The current overall power grid output plan is injected into the AC power flow model, and the current voltage and phase angle of the corresponding nodes at both ends of each tie line are generated through numerical iteration. The current power values ​​of the nodes at both ends of each tie line are calculated and generated based on the current voltages of the nodes at both ends of each tie line and the current phase angles of the nodes at both ends of each tie line.

9. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for coordinated dispatching of a multi-regional power grid according to any one of claims 1 to 6 is implemented.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is executed, the device where the storage medium is located is controlled to execute the coordinated scheduling method for a multi-regional power grid according to any one of claims 1 to 6.

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