A method and device for thermal power peak regulation transformation based on node link matrix

Abstract

The present invention discloses a method and device for thermal power peak-shaving transformation based on a node link matrix, belonging to the field of distribution network planning. The method includes: obtaining the link relationships and various parameters between nodes in the power system; determining the node link matrix based on the link relationships between the nodes, correcting the node active injection power to obtain the actual node power flow; constructing a power balance constraint based on the actual node power flow and parameters; constructing a system low-carbon collaborative planning model, power generation technology constraints, and system power generation abundance reserve constraints with the goal of minimizing the sum of power system operation and maintenance costs and thermal power peak-shaving transformation costs; solving the model under the constraints to obtain the minimum technical output of the transformed thermal power unit, and then performing thermal power peak-shaving transformation. By implementing the present invention, the effectiveness of the thermal-storage combined transformation scheme can be improved, thereby solving the problem of thermal-storage combined transformation caused by the failure to consider power flow transmission constraints in the existing technology.

Description

Technical Field

[0001] The present invention relates to the field of distribution network planning, and in particular to a method and device for thermal power peak regulation transformation based on a node link matrix. Background Art

[0002] In the context of the power industry's low-carbon transformation, addressing the power curtailment caused by the large-scale integration of renewable energy sources requires urgent planning for thermal power flexibility improvements and energy storage collaboration. Large-scale thermal power and energy storage integration is challenging due to the numerous nodes and complex transmission lines in large-scale power grids, making power flow paths and power distribution difficult to accurately predict and control. To address this complexity, models are often simplified, considering only renewable energy generation and load demand to determine the flexibility improvement capacity of thermal power units, while ignoring power flow transmission between nodes.

[0003] However, in actual operation, due to a failure to account for power flow constraints, when renewable energy generation decreases and thermal power units need to increase their output, problems such as line overloads can occur. To prevent grid failures, thermal power units must be limited in their output, resulting in the inability to start, stop, or adjust their output according to planned requirements. As a result, the combined thermal-storage transformation plan failed to achieve its intended effect, renewable energy generation remained insufficiently absorbed, and the problem of power curtailment persisted. Summary of the Invention

[0004] The embodiment of the present invention provides a thermal power peak-shaving transformation method and device based on a node link matrix, which can improve the effectiveness of the thermal power storage combined transformation solution, thereby solving the thermal power storage combined transformation problem caused by not considering the power flow transmission limitation in the prior art.

[0005] An embodiment of the present invention provides a method for peak-shaving transformation of thermal power plants based on a node link matrix, comprising:

[0006] Obtaining the link relationships, cost parameters, system characteristic parameters, unit attribute parameters, and power supply and demand parameters between nodes in the power system; cost parameters include: thermal power peak regulation cost parameters, energy storage operation and maintenance cost parameters, and unit cost parameters; system characteristic parameters include: system operation characteristic parameters, unit operation characteristic parameters, and energy storage characteristic parameters;

[0007] Determine the node link matrix based on the link relationship between nodes in the power system;

[0008] According to the node link matrix, the active injection power of each node in the power supply and demand parameters is corrected to obtain the actual power flow power of each node;

[0009] Construct power balance constraints based on the actual power flow and power supply and demand parameters of each node;

[0010] Based on cost parameters, system characteristic parameters, and unit attribute parameters, with the goal of minimizing the sum of power system operation and maintenance costs and thermal power peak-shaving transformation costs, a system low-carbon collaborative planning model is constructed, along with power generation technology constraints and system power generation adequacy reserve constraints.

[0011] Under the constraints of power balance, power generation technology, and system power generation adequacy and reserve, a low-carbon collaborative planning model is solved to generate the minimum technical output of the modified thermal power units that minimizes the sum of the power system operation and maintenance costs and the thermal power peak load modification costs.

[0012] Thermal power peak regulation transformation is carried out according to the minimum technical output of the thermal power units after transformation.

[0013] Furthermore, according to the link relationship between nodes in the power system, a node link matrix is ​​determined, including:

[0014] For each node in the power system, the node link matrix confirmation process is repeated until all nodes are traversed and the node link matrix is ​​obtained;

[0015] The node link matrix confirmation process includes:

[0016] For the current node, mark the element value of the matrix position corresponding to the current node and itself as 0, and determine whether there is a link between the current node and the remaining nodes;

[0017] If there is a link and the flow direction is from the current node to the other nodes, the element value of the matrix position corresponding to the current node and the other nodes is marked as 1;

[0018] If there is a link and the flow direction is from the remaining nodes to the current node, the element value of the matrix position corresponding to the current node and the remaining nodes is marked as -1;

[0019] If there is no link, mark the element values ​​of the matrix positions corresponding to the current node and the remaining nodes as 0.

[0020] Furthermore, the active injection power of each node in the power supply and demand parameters is corrected according to the node link matrix to obtain the actual power flow power of each node, including:

[0021] The node link matrix is ​​multiplied by the node injection power matrix to obtain the node actual power flow matrix; the node injection power matrix is ​​composed of the active injection power of each node in the power supply and demand parameters;

[0022] According to the node actual power flow power matrix, the actual power flow of each node is obtained.

[0023] Furthermore, power balance constraints include:

[0024] ;

[0025] in, represents the power flow from adjacent node j to node i, Represents the index of the node, represents the index of the adjacent nodes of node i, represents the set of adjacent nodes of node i, In node i, the sum of the power flows from all adjacent nodes j into node i, that is, the actual power flow of node i, represents the real-time output power of conventional generator set k in node i, Indicates the number of conventional generator sets, represents the wind power of node i, represents the photovoltaic power of node i, represents the power shortage of node i, represents the abandoned power of node i, represents the incoming call to node i, represents the total load of node i.

[0026] Furthermore, the power system operation and maintenance costs include: unit energy storage collaborative operation and maintenance costs, system carbon emission costs, system power curtailment costs, and system power shortage costs;

[0027] The cost of energy storage collaborative operation and maintenance for the unit includes:

[0028] ;

[0029] ;

[0030] = ;

[0031] ;

[0032] = ;

[0033] ;

[0034] System carbon emission costs, including:

[0035] ;

[0036] System curtailment costs, including:

[0037] ;

[0038] in, represents the energy storage collaborative operation and maintenance cost of the unit, represents the unit maintenance cost, represents the cost of raw materials, represents the unit start-up and shutdown cost, represents the operating cost of electrochemical energy storage, represents the operating cost of pumped storage, Indicates the index of the conventional unit, represents a collection of generator sets, represents the maintenance cost per unit capacity of each unit, Indicates the installed capacity of the unit, 、 and Both represent the power generation cost coefficient of conventional unit g, represents the real-time power generation of conventional unit g at time t, Indicates the start and stop status of the conventional unit g at time t, Indicates that the unit is started. Indicates the unit is shut down. and They represent the startup cost and shutdown cost of conventional unit g respectively, The index representing the electrochemical energy storage, represents the electrochemical energy storage assembly, Represents the unit power of electrochemical energy storage, Indicates the operation and maintenance cost corresponding to the unit capacity of electrochemical energy storage, represents the installed capacity of electrochemical energy storage, represents the installed power of electrochemical energy storage, represents the discharge power of electrochemical energy storage, Represents the charge and discharge efficiency of electrochemical energy storage, The index representing the pumped storage, represents the pumped storage aggregate, represents the initial investment and construction cost of pumped storage w, represents the system carbon emission cost, represents the cost per unit of carbon emissions, represents the carbon emission factor of conventional unit g, represents the system power curtailment cost, Indicates the cost corresponding to the unit amount of abandoned electricity, Represents the index of the thermal power unit, Represents a collection of thermal power units, It represents the abandoned power of thermal power unit m at time t.

[0039] Furthermore, the cost of thermal power peak load regulation transformation includes:

[0040] ;

[0041] in, represents the cost of thermal power peak regulation transformation, represents the discount rate of equal annual value of thermal power transformation, represents the unit investment cost of peak load regulation transformation of thermal power units, It represents the minimum technical output of the thermal power unit before transformation. Indicates the minimum technical output of the thermal power unit after transformation.

[0042] Furthermore, power generation technology constraints include: upper and lower output limits of conventional units, ramping constraints of conventional units, start and shutdown constraints of conventional units, and upper and lower limits of deep peak load regulation transformation of thermal power units;

[0043] The upper and lower limits of conventional unit output include:

[0044] ;

[0045] Conventional unit ramping constraints include:

[0046] ;

[0047] ;

[0048] Conventional unit start-up and shutdown constraints, including:

[0049] ;

[0050] ;

[0051] The upper and lower limit constraints for deep peak-shaving transformation of thermal power units include:

[0052] ;

[0053] in, and Respectively represent the minimum output power and maximum output power of conventional unit g, represents the real-time power generation of electrochemical energy storage s at time t, and Respectively represent the ramp-up rate and ramp-down rate of conventional units, and They represent the minimum shutdown time and the minimum startup time of the unit at node i, respectively. Indicates the current calculation time, represents the startup status of the unit at node i at time t, Indicates that the unit of node i is turned on, Indicates that the unit of node i is shut down, Indicates the lower limit of deep peak regulation of thermal power units, Indicates the upper limit of deep peak regulation of thermal power units.

[0054] Furthermore, the system power generation adequacy reserve constraints include:

[0055] ;

[0056] in, represents the credible capacity factor of conventional unit g, represents the system power generation adequacy coefficient, Indicates the index of important load, represents the set of important loads, Represents the power demand of important load z at time t.

[0057] Based on the above method embodiment, the present invention provides a corresponding device embodiment, including: a system parameter acquisition module, a node link matrix determination module, a power flow calculation module, a balance constraint construction module, a planning model construction module, a planning model solution module, and a thermal power peak regulation transformation module;

[0058] The system parameter acquisition module is used to obtain the link relationship between nodes in the power system, cost parameters, system characteristic parameters, unit attribute parameters, and power supply and demand parameters. Among them, the cost parameters include: thermal power peak regulation cost parameters, energy storage operation and maintenance cost parameters, and unit cost parameters; the system characteristic parameters include: system operation characteristic parameters, unit operation characteristic parameters, and energy storage characteristic parameters;

[0059] A node link matrix determination module is used to determine the node link matrix according to the link relationship between nodes in the power system;

[0060] The power flow calculation module is used to correct the active injection power of each node in the power supply and demand parameters according to the node link matrix to obtain the actual power flow of each node;

[0061] The balance constraint construction module is used to construct power balance constraints based on the actual power flow and power supply and demand parameters of each node;

[0062] The planning model construction module is used to build a system low-carbon collaborative planning model based on cost parameters, system characteristic parameters, and unit attribute parameters, with the goal of minimizing the sum of power system operation and maintenance costs and thermal power peak-shaving transformation costs, as well as power generation technology constraints and system power generation adequacy reserve constraints;

[0063] The planning model solving module is used to solve the system low-carbon collaborative planning model under the constraints of power balance, power generation technology, and system power generation adequacy and reserve, and generate the minimum technical output of the modified thermal power units to minimize the sum of the power system operation and maintenance costs and the thermal power peak-shaving modification costs;

[0064] The thermal power peak-shaving transformation module is used to carry out thermal power peak-shaving transformation based on the minimum technical output of the thermal power unit after transformation.

[0065] Furthermore, the node link matrix determination module includes: a node element value confirmation submodule;

[0066] The node element value confirmation submodule is used to repeatedly execute the node link matrix confirmation process for each node in the power system until all nodes are traversed to obtain the node link matrix;

[0067] The node link matrix confirmation process includes:

[0068] For the current node, mark the element value of the matrix position corresponding to the current node and itself as 0, and determine whether there is a link between the current node and the remaining nodes;

[0069] If there is a link and the flow direction is from the current node to the other nodes, the element value of the matrix position corresponding to the current node and the other nodes is marked as 1;

[0070] If there is a link and the flow direction is from the remaining nodes to the current node, the element value of the matrix position corresponding to the current node and the remaining nodes is marked as -1;

[0071] If there is no link, mark the element values ​​of the matrix positions corresponding to the current node and the remaining nodes as 0.

[0072] Compared with the prior art, the beneficial effects of the embodiment of this solution are:

[0073] The present invention obtains the link relationship, cost parameters, system characteristic parameters, unit attribute parameters, and power supply and demand parameters between nodes in the power system, wherein the cost parameters include thermal power peak shaving cost parameters, energy storage operation and maintenance cost parameters, and unit cost parameters, and the system characteristic parameters include system operation characteristic parameters, unit operation characteristic parameters, and energy storage characteristic parameters, considering that energy storage provides short-term flexible adjustment capabilities for the power system. Then, based on the link relationship between nodes in the power system, a node link matrix is ​​determined. The active injection power of each node in the power supply and demand parameters is corrected according to the node link matrix to obtain the actual flow power of each node. Based on the actual flow power of each node and the power supply and demand parameters, a power balance constraint is constructed, thereby taking the topological connection relationship between nodes into consideration and effectively avoiding line overload problems caused by power transmission problems. Based on the cost parameters, system characteristic parameters, and unit attribute parameters, with the goal of minimizing the sum of the power system operation and maintenance cost and the thermal power peak shaving transformation cost, a system low-carbon collaborative planning model is constructed by comprehensively considering the long-term planning of thermal power transformation and the short-term scheduling of energy storage. At the same time, power generation technology constraints and system power generation adequacy and reserve constraints are established to ensure that the thermal power units and energy storage systems operate within the technically feasible range. Within the constraints of power balance, power generation technology, and system power generation adequacy and reserve, the minimum technical output of the modified thermal power units is determined to minimize the sum of the power system operation and maintenance costs and the thermal power peak-shaving modification costs. This ensures that the thermal power units and energy storage system achieve the most cost-effective thermal power transformation while meeting system requirements. Finally, based on the minimum technical output of the modified thermal power units, thermal power peak-shaving modifications are carried out, thereby improving the effectiveness of the combined thermal-storage modification solution and promoting the full absorption of new energy.

[0074] In summary, the present invention constructs a node link matrix and further builds a system low-carbon collaborative planning model to solve the minimum technical output of the optimized modified thermal power unit, and implements thermal power peak-shaving transformation accordingly. This effectively solves the problem of combined thermal power and energy storage transformation caused by the failure to consider power flow transmission limitations in the existing technology. While ensuring the stable operation of the power system, it achieves the cost-optimized operation of the thermal power units and the energy storage system, improves the effectiveness of the combined thermal power and energy storage transformation plan, and greatly promotes the full absorption of new energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 1 is a flow chart of a method for thermal power peak-shaving transformation based on a node link matrix provided in one embodiment of the present invention;

[0076] Figure 2 It is a structural diagram of a thermal power peak-shaving transformation device based on a node link matrix provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0077] 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.

[0078] like Figure 1 As shown, in order to solve the problem of thermal power generation and storage combined transformation caused by not considering power flow transmission limitations in the prior art, an embodiment of the present invention provides a thermal power peak-shaving transformation method based on a node link matrix, which includes at least the following steps:

[0079] Assume that a main grid system has N nodes, including K power nodes (including coal-fired power, gas-fired power, wind power, photovoltaic power, energy storage and other general power sources) and M load nodes.

[0080] Step S1: Obtaining the link relationship between nodes in the power system, cost parameters, system characteristic parameters, unit attribute parameters, and power supply and demand parameters; wherein the cost parameters include: thermal power peak regulation cost parameters, energy storage operation and maintenance cost parameters, and unit cost parameters; the system characteristic parameters include: system operation characteristic parameters, unit operation characteristic parameters, and energy storage characteristic parameters;

[0081] Regarding step S1 , in the present invention, the link relationship between the nodes is used to describe information on the connection status between the nodes in the power system.

[0082] The above-mentioned thermal power peak regulation cost parameters include: the cost corresponding to unit carbon emissions , the cost corresponding to the unit amount of abandoned electricity , thermal power peak regulation transformation cost , Unit investment cost of deep peak regulation transformation of thermal power units , the annual discount rate for thermal power transformation .

[0083] The above energy storage operation and maintenance cost parameters include: unit power of electrochemical energy storage , Operation and maintenance costs per unit capacity of electrochemical energy storage .

[0084] The above unit cost parameters include: the power generation cost coefficient of conventional unit g 、 and , Maintenance cost per unit capacity of each unit , the startup cost of conventional units g each time and downtime costs .

[0085] The above system operation characteristic parameters include: system power generation adequacy coefficient .

[0086] The above-mentioned unit operating characteristic parameters include: conventional unit ramp rate and downhill climbing rate , Minimum technical output of thermal power units before transformation , the minimum shutdown time of the unit at node i and the minimum startup time of the unit , the lower limit of deep peak regulation of thermal power units , upper limit of deep peak regulation of thermal power units 、Minimum output power of conventional unit g and maximum output power .

[0087] The above energy storage characteristic parameters include: installed capacity of electrochemical energy storage , installed power of electrochemical energy storage , charge and discharge efficiency of electrochemical energy storage .

[0088] The above-mentioned unit attribute parameters include: generator set collection , installed capacity , Carbon emission factor of conventional unit g , the credible capacity factor of conventional unit g .

[0089] The above power supply and demand parameters include: wind power at node i , PV power of node i , external power of node i , the total load of node i .

[0090] Step S2: determining a node link matrix according to the link relationship between nodes in the power system;

[0091] In a preferred embodiment, determining a node link matrix based on link relationships between nodes in the power system includes:

[0092] For each node in the power system, the node link matrix confirmation process is repeated until all nodes are traversed and the node link matrix is ​​obtained;

[0093] The node link matrix confirmation process includes:

[0094] For the current node, mark the element value of the matrix position corresponding to the current node and itself as 0, and determine whether there is a link between the current node and the remaining nodes;

[0095] If there is a link and the flow direction is from the current node to the other nodes, the element value of the matrix position corresponding to the current node and the other nodes is marked as 1;

[0096] If there is a link and the flow direction is from the remaining nodes to the current node, the element value of the matrix position corresponding to the current node and the remaining nodes is marked as -1;

[0097] If there is no link, mark the element values ​​of the matrix positions corresponding to the current node and the remaining nodes as 0.

[0098] For step S2, a node link matrix is ​​established based on the mutual link relationship between node systems. , specifically, a node links to itself, then , if there is a link between nodes and the nodes To the node If there is power flow transmission, , if there is a link between nodes and the nodes To the node If there is power flow transmission, , the node link matrix obtained is in antisymmetric form as a whole.

[0099] Step S3: Correct the active injection power of each node in the power supply and demand parameters according to the node link matrix to obtain the actual power flow power of each node;

[0100] In a preferred embodiment, the active injection power of each node in the power supply and demand parameters is corrected according to the node link matrix to obtain the actual power flow power of each node, including:

[0101] The node link matrix is ​​multiplied by the node injection power matrix to obtain the node actual power flow matrix; the node injection power matrix is ​​composed of the active injection power of each node in the power supply and demand parameters;

[0102] According to the node actual power flow power matrix, the actual power flow of each node is obtained.

[0103] For step S3, in the actual power grid, since the error between the DC power flow and the accurate AC power flow is small, and in normal operation, the voltage of each node of the power system is usually near the rated voltage, it can be approximately considered that the node and nodes The voltage amplitude , and the voltage phase angle difference at both ends of the line is very small, it can be approximately considered ,therefore , , in the UHV network, the line resistance is much smaller than the reactance, so the resistance can usually be ignored, that is, Based on these actual conditions, the power flow calculation process is simplified. The simplified branch power flow is as follows:

[0104] ;

[0105] in, , is the branch reactance, which reflects the branch's obstruction to power transmission. and Represents nodes respectively and nodes The voltage phase angle, Indicates a branch of reactive power.

[0106] Based on Kirchhoff's law, the branch power flow can be obtained:

[0107] ;

[0108] in, Represents the sum of active power injected by each node to node i, all The initial power flow transmission matrix without considering the link distribution matrix optimization is formed .

[0109] Since the results of existing model optimization cannot accurately account for the connection relationship between nodes, power flow may occur between non-adjacent nodes, which is inconsistent with the actual operation of the power system. Therefore, the present invention defines the node link matrix based on the actual link relationship within the system. During the model optimization process, the actual power flow between the actual adjacent nodes of the system is retained for model optimization and solution. The branch power flow is calculated as follows:

[0110] ;

[0111] in, Represents the actual power flow matrix of the node, which is a A matrix where each element represents the power flow transmission power from node j to node i, represents the node link matrix, Represents the matrix product operator symbol, Represents the node injection power matrix. In this way, branch power flow calculations can be performed based on the actual system connection relationships, improving the accuracy and reliability of the calculation results and making the calculations more closely aligned with the actual operating conditions of the power system.

[0112] Step S4: Construct power balance constraints based on the actual power flow and power supply and demand parameters of each node;

[0113] In a preferred embodiment, the power balance constraint includes:

[0114] ;

[0115] in, represents the power flow from adjacent node j to node i, Represents the index of the node, represents the index of the adjacent nodes of node i, represents the set of adjacent nodes of node i, In node i, the sum of the power flows from all adjacent nodes j into node i, that is, the actual power flow of node i, represents the real-time output power of conventional generator set k in node i, Indicates the number of conventional generator sets, represents the wind power of node i, represents the photovoltaic power of node i, represents the power shortage of node i, represents the abandoned power of node i, represents the incoming call to node i, represents the total load of node i.

[0116] In step S4, based on the actual power flow at each node obtained in step S3 and the known power supply and demand parameters acquired in step S1, an equation for the power system's power balance constraint is constructed. This overall equation expresses the comprehensive balance between the inflow power (i.e., actual node power flow, various types of generated power, power shortages, and external power) and the outflow or loss power (i.e., curtailed power) at node i, which should equal the total load demand at that node. This power balance constraint theoretically ensures the proper distribution and balance of power at each node in the power system, preventing system instability caused by power surpluses or shortages.

[0117] Step S5: Based on cost parameters, system characteristic parameters, and unit attribute parameters, with the goal of minimizing the sum of power system operation and maintenance costs and thermal power peak-shaving transformation costs, a system low-carbon collaborative planning model is constructed, along with power generation technology constraints and system power generation adequacy reserve constraints.

[0118] In a preferred embodiment, the power system operation and maintenance costs include: unit energy storage collaborative operation and maintenance costs, system carbon emission costs, system power curtailment costs, and system power shortage costs;

[0119] The cost of energy storage collaborative operation and maintenance for the unit includes:

[0120] ;

[0121] ;

[0122] = ;

[0123] ;

[0124] = ;

[0125] ;

[0126] System carbon emission costs, including:

[0127] ;

[0128] System curtailment costs, including:

[0129] ;

[0130] in, represents the energy storage collaborative operation and maintenance cost of the unit, represents the unit maintenance cost, represents the cost of raw materials, represents the unit start-up and shutdown cost, represents the operating cost of electrochemical energy storage, It indicates the operating cost of pumped storage. It should be noted that the annual operating cost of pumped storage is Usually calculated at 2.5% of the initial investment and construction cost. Indicates the index of the conventional unit, represents a collection of generator sets, represents the maintenance cost per unit capacity of each unit, Indicates the installed capacity of the unit, 、 and Both represent the power generation cost coefficient of conventional unit g, represents the real-time power generation of conventional unit g at time t, Indicates the start and stop status of the conventional unit g at time t, Indicates that the unit is started. Indicates the unit is shut down. and They represent the startup cost and shutdown cost of conventional unit g respectively, The index representing the electrochemical energy storage, represents the electrochemical energy storage assembly, Represents the unit power of electrochemical energy storage, Indicates the operation and maintenance cost corresponding to the unit capacity of electrochemical energy storage, represents the installed capacity of electrochemical energy storage, represents the installed power of electrochemical energy storage, represents the discharge power of electrochemical energy storage, Represents the charge and discharge efficiency of electrochemical energy storage, represents the index of pumped storage, represents the pumped storage aggregate, represents the initial investment and construction cost of pumped storage w, represents the system carbon emission cost, represents the cost per unit of carbon emissions, represents the carbon emission factor of conventional unit g, represents the system power curtailment cost, Indicates the cost corresponding to the unit amount of abandoned electricity, Represents the index of the thermal power unit, Represents a collection of thermal power units, It represents the abandoned power of thermal power unit m at time t.

[0131] In a preferred embodiment, the cost of thermal power peak load regulation transformation includes:

[0132] ;

[0133] in, represents the cost of thermal power peak regulation transformation, represents the discount rate of equal annual value of thermal power transformation, represents the unit investment cost of peak load regulation transformation of thermal power units, It represents the minimum technical output of the thermal power unit before transformation. Indicates the minimum technical output of the thermal power unit after transformation.

[0134] In a preferred embodiment, the power generation technical constraints include: upper and lower limit constraints on conventional unit output, conventional unit ramping constraints, conventional unit start and shutdown constraints, and upper and lower limit constraints on deep peak load regulation of thermal power units;

[0135] The upper and lower limits of conventional unit output include:

[0136] ;

[0137] Conventional unit ramping constraints include:

[0138] ;

[0139] ;

[0140] Conventional unit start-up and shutdown constraints, including:

[0141] ;

[0142] ;

[0143] The upper and lower limit constraints for deep peak-shaving transformation of thermal power units include:

[0144] ;

[0145] in, and Respectively represent the minimum output power and maximum output power of conventional unit g, represents the real-time power generation of electrochemical energy storage s at time t, and Respectively represent the ramp-up rate and ramp-down rate of conventional units, and They represent the minimum shutdown time and the minimum startup time of the unit at node i, respectively. Indicates the current calculation time, represents the startup status of the unit at node i at time t, Indicates that the unit of node i is turned on, Indicates that the unit of node i is shut down, Indicates the lower limit of deep peak regulation of thermal power units, Indicates the upper limit of deep peak regulation of thermal power units.

[0146] In a preferred embodiment, the system power generation adequacy reserve constraint includes:

[0147] ;

[0148] in, represents the credible capacity factor of conventional unit g, represents the system power generation adequacy coefficient, Indicates the index of important load, represents the set of important loads, Represents the power demand of important load z at time t.

[0149] For step S5, since the transformation of thermal power units involves a large amount of upfront investment in equipment purchase, installation, and commissioning, and the benefits brought by the improvement of the peak-shaving capacity of the units after the transformation need to gradually appear over a long period of time, the cost of thermal power peak-shaving transformation is a long-term investment with a long investment return cycle, and it needs to be planned and constructed from a long-term perspective. In comparison, energy storage has a fast response characteristic and can adjust the charge and discharge status in real time according to the system power demand within a shorter time scale, promptly meet the needs of power balance regulation in short-term operation, and effectively make up for the shortcomings of thermal power transformation in short-term regulation. Therefore, the present invention can achieve the optimal configuration of power system resources on the basis of taking into account long-term investment and short-term operation needs by minimizing the sum of the power system operation and maintenance costs and the thermal power peak-shaving transformation costs:

[0150] ;

[0151] in, represents the power system operation and maintenance cost.

[0152] It should be noted that the typical carbon emission factors for power generation of various types of units are shown in Table 1 below:

[0153] Table 1 Typical carbon emission factors for power generation of various types of units

[0154]

[0155] On the one hand, from a long-term perspective, rationally planning thermal power peak-shaving modifications will reduce costs while improving the long-term peak-shaving capacity and operational stability of thermal power units, providing a reliable foundation for the power system. On the other hand, in short-term operations, fully leveraging the rapid response advantages of energy storage can effectively balance power fluctuations and reduce operational costs, including unit energy storage coordination and maintenance costs, system curtailment costs, and system power outage costs.

[0156] By establishing power generation technical constraints, we ensure the safe and stable operation of various units and prevent system failures caused by abnormal unit output or improper startup and shutdown. Conventional unit output upper and lower limits define the power adjustment range of the unit during operation, preventing over- or under-generation. Ramping constraints control the rate of change of unit output, preventing damage to unit equipment and grid impacts caused by sudden power surges. Start-up and shutdown constraints standardize the unit startup and shutdown process, reducing equipment failures caused by frequent or improper startup and shutdown operations. For deep peak-shaving retrofits of thermal power units, the upper and lower limits are directly linked to the minimum technical output of the retrofitted units. When solving the planning model, these constraints define the feasible region of unit operation, ensuring that the resulting minimum technical output of the retrofitted thermal power units is within the safe and technically feasible range of the unit equipment, avoiding ignoring unit operational safety and technical limitations in the pursuit of cost minimization.

[0157] By establishing a system power generation adequacy reserve constraint, the system ensures sufficient power generation capacity to meet load demands under various operating conditions, improving power supply reliability and reducing the risk of power outages. Specifically, by requiring the sum of the credible capacity and output product of conventional units to meet certain conditions, the system ensures that sufficient reserve power generation capacity is reserved. This allows the system to quickly mobilize reserve capacity in the face of emergencies such as sudden increases in power load, unexpected power generation unit outages, and extreme weather, maintaining a stable power supply and significantly improving power supply reliability. In the process of solving the planning model, this constraint ensures that the planning results have the ability to cope with uncertainty. When determining the minimum technical output of the modified thermal power units, it is necessary to optimize under the premise of meeting the power generation adequacy reserve requirements. This ensures that the modified thermal power units can not only provide reliable basic power generation capacity for the system, but also reasonably participate in peak load regulation and coordinate with other power sources to ensure system power supply reliability.

[0158] Step S6: Under the constraints of power balance constraints, power generation technology constraints, and system power generation adequacy and reserve constraints, solve the system low-carbon collaborative planning model to generate the minimum technical output of the transformed thermal power units when the sum of the power system operation and maintenance costs and the thermal power peak load transformation costs is minimized;

[0159] For step S6, under the constraints of power balance constraints, power generation technology constraints and system power generation adequacy reserve constraints, the solution is carried out with the goal of minimizing the sum of power system operation and maintenance costs and thermal power peak-shaving transformation costs. By continuously adjusting variables such as the minimum technical output of the transformed thermal power units, the minimum value of the cost function is found under the premise of satisfying power balance, meeting power generation technology requirements and ensuring power generation adequacy.

[0160] After repeated consideration and optimization, the minimum technical output of the thermal power unit after transformation was finally determined. It can minimize costs and achieve the goal of low-carbon collaborative planning on the basis of ensuring the safe, stable operation and reliable power supply of the power system, and provide a scientific solution for the economical and efficient operation and sustainable development of the power system.

[0161] Step S7: Perform thermal power peak regulation transformation according to the minimum technical output of the thermal power unit after transformation.

[0162] In step S7, based on the minimum technical output of the thermal power unit after the transformation, the thermal power unit is subjected to peak-shaving transformation. Through the peak-shaving transformation, the minimum technical output of the unit is reduced from the original value (i.e., the minimum technical output of the thermal power unit before the transformation) to ) is reduced to the target value (i.e. the minimum technical output of the thermal power unit after transformation) ) to improve the peak-shaving capability of the unit under low-load conditions.

[0163] like Figure 2 As shown, based on the above method embodiment, a corresponding device embodiment is provided;

[0164] An embodiment of the present invention provides a thermal power peak shaving modification device based on a node link matrix, comprising: a system parameter acquisition module, a node link matrix determination module, a power flow calculation module, a balance constraint construction module, a planning model construction module, a planning model solution module, and a thermal power peak shaving modification module;

[0165] The system parameter acquisition module is used to obtain the link relationship between nodes in the power system, cost parameters, system characteristic parameters, unit attribute parameters, and power supply and demand parameters. Among them, the cost parameters include: thermal power peak regulation cost parameters, energy storage operation and maintenance cost parameters, and unit cost parameters; the system characteristic parameters include: system operation characteristic parameters, unit operation characteristic parameters, and energy storage characteristic parameters;

[0166] A node link matrix determination module is used to determine the node link matrix according to the link relationship between nodes in the power system;

[0167] The power flow calculation module is used to correct the active injection power of each node in the power supply and demand parameters according to the node link matrix to obtain the actual power flow of each node;

[0168] The balance constraint construction module is used to construct power balance constraints based on the actual power flow and power supply and demand parameters of each node;

[0169] The planning model construction module is used to build a system low-carbon collaborative planning model based on cost parameters, system characteristic parameters, and unit attribute parameters, with the goal of minimizing the sum of power system operation and maintenance costs and thermal power peak-shaving transformation costs, as well as power generation technology constraints and system power generation adequacy reserve constraints;

[0170] The planning model solving module is used to solve the system low-carbon collaborative planning model under the constraints of power balance, power generation technology, and system power generation adequacy and reserve, and generate the minimum technical output of the modified thermal power units to minimize the sum of the power system operation and maintenance costs and the thermal power peak-shaving modification costs;

[0171] The thermal power peak-shaving transformation module is used to carry out thermal power peak-shaving transformation based on the minimum technical output of the thermal power unit after transformation.

[0172] In a preferred embodiment, the node link matrix determination module includes: a node element value confirmation submodule;

[0173] The node element value confirmation submodule is used to repeatedly execute the node link matrix confirmation process for each node in the power system until all nodes are traversed to obtain the node link matrix;

[0174] The node link matrix confirmation process includes:

[0175] For the current node, mark the element value of the matrix position corresponding to the current node and itself as 0, and determine whether there is a link between the current node and the remaining nodes;

[0176] If there is a link and the flow direction is from the current node to the other nodes, the element value of the matrix position corresponding to the current node and the other nodes is marked as 1;

[0177] If there is a link and the flow direction is from the remaining nodes to the current node, the element value of the matrix position corresponding to the current node and the remaining nodes is marked as -1;

[0178] If there is no link, mark the element values ​​of the matrix positions corresponding to the current node and the remaining nodes as 0.

[0179] It can be understood that the above-mentioned device embodiment corresponds to the method embodiment of the present invention, which can implement the thermal power peak-shaving transformation method based on the node link matrix provided by any of the above-mentioned method embodiments of the present invention.

[0180] It should be noted that the device embodiments described above are merely illustrative, and some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment. Furthermore, in the drawings of the device embodiments provided by the present invention, the connection relationship between modules indicates that they have a communication connection, which may be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement the present invention without inventive effort.

[0181] 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 method for thermal power peak regulation transformation based on node link matrix, characterized in that: include: Obtaining link relationships between nodes in the power system, cost parameters, system characteristic parameters, unit attribute parameters, and power supply and demand parameters; wherein the cost parameters include: thermal power peak regulation cost parameters, energy storage operation and maintenance cost parameters, and unit cost parameters; the system characteristic parameters include: system operation characteristic parameters, unit operation characteristic parameters, and energy storage characteristic parameters; Determine a node link matrix based on the link relationship between nodes in the power system; the determining the node link matrix based on the link relationship between nodes in the power system includes: for each node in the power system, repeatedly executing the node link matrix confirmation process until all nodes are traversed to obtain the node link matrix; the node link matrix confirmation process includes: for a current node, marking the element value of the matrix position corresponding to the current node and itself as 0, and judging whether there is a link between the current node and the remaining nodes; if there is a link, and when the flow direction is from the current node to the remaining nodes, marking the element value of the matrix position corresponding to the current node and the remaining nodes as 1; if there is a link, and when the flow direction is from the remaining nodes to the current node, marking the element value of the matrix position corresponding to the current node and the remaining nodes as -1; if there is no link, marking the element value of the matrix position corresponding to the current node and the remaining nodes as 0; Correcting the active injection power of each node in the power supply and demand parameters according to the node link matrix to obtain the actual power flow power of each node; Correcting the active injection power of each node in the power supply and demand parameters according to the node link matrix to obtain the actual power flow power of each node includes: performing a matrix product of the node link matrix and the node injection power matrix to obtain a node actual power flow power matrix; wherein the node injection power matrix is ​​composed of the active injection power of each node in the power supply and demand parameters; and obtaining the actual power flow power of each node according to the node actual power flow power matrix; Construct power balance constraints based on the actual power flow and power supply and demand parameters of each node; Based on cost parameters, system characteristic parameters, and unit attribute parameters, with the goal of minimizing the sum of power system operation and maintenance costs and thermal power peak-shaving transformation costs, a system low-carbon collaborative planning model is constructed, along with power generation technology constraints and system power generation adequacy reserve constraints. Under the constraints of power balance, power generation technology, and system power generation adequacy and reserve, a low-carbon collaborative planning model is solved to generate the minimum technical output of the modified thermal power units that minimizes the sum of the power system operation and maintenance costs and the thermal power peak load modification costs. According to the minimum technical output of the thermal power units after the transformation, thermal power peak regulation transformation is carried out.

2. The thermal power peak regulation transformation method based on the node link matrix according to claim 1 is characterized in that: The power balance constraint includes: ； in, represents the power flow from adjacent node j to node i, Represents the index of the node, represents the index of the adjacent nodes of node i, represents the set of adjacent nodes of node i, In node i, the sum of the power flows from all adjacent nodes j into node i, that is, the actual power flow of node i, represents the real-time output power of conventional generator set k in node i, Indicates the number of conventional generator sets, represents the wind power of node i, represents the photovoltaic power of node i, represents the power shortage of node i, represents the abandoned power of node i, represents the incoming call to node i, represents the total load of node i.

3. The thermal power peak regulation transformation method based on the node link matrix according to claim 2 is characterized in that: The power system operation and maintenance costs include: unit energy storage collaborative operation and maintenance costs, system carbon emission costs, system power curtailment costs, and system power shortage costs; The energy storage collaborative operation and maintenance costs of the unit include: ； ； = ； ； = ； ； The system carbon emission costs include: ； The system power curtailment cost includes: ； in, represents the energy storage collaborative operation and maintenance cost of the unit, represents the unit maintenance cost, represents the cost of raw materials, represents the unit start-up and shutdown cost, represents the operating cost of electrochemical energy storage, represents the operating cost of pumped storage, Indicates the index of the conventional unit, represents a collection of generator sets, represents the maintenance cost per unit capacity of each unit, Indicates the installed capacity of the unit, 、 and Both represent the power generation cost coefficient of conventional unit g, represents the real-time power generation of conventional unit g at time t, Indicates the start and stop status of the conventional unit g at time t, Indicates that the unit is started. Indicates the unit is shut down. and They represent the startup cost and shutdown cost of conventional unit g respectively, represents the index of electrochemical energy storage, represents the electrochemical energy storage assembly, Represents the unit power of electrochemical energy storage, Indicates the operation and maintenance cost corresponding to the unit capacity of electrochemical energy storage, represents the installed capacity of electrochemical energy storage, represents the installed power of electrochemical energy storage, represents the discharge power of electrochemical energy storage, Represents the charge and discharge efficiency of electrochemical energy storage, represents the index of pumped storage, represents the pumped storage aggregate, represents the initial investment and construction cost of pumped storage w, represents the system carbon emission cost, represents the cost per unit of carbon emissions, represents the carbon emission factor of conventional unit g, represents the system power curtailment cost, Indicates the cost corresponding to the unit amount of abandoned electricity, Represents the index of the thermal power unit, Represents a collection of thermal power units, It represents the abandoned power of thermal power unit m at time t.

4. The thermal power peak regulation transformation method based on the node link matrix according to claim 3 is characterized in that: The cost of thermal power peak load regulation transformation includes: ； in, represents the cost of thermal power peak regulation transformation, represents the discount rate of equal annual value of thermal power transformation, represents the unit investment cost of peak load regulation transformation of thermal power units, It represents the minimum technical output of the thermal power unit before transformation. Indicates the minimum technical output of the thermal power unit after transformation.

5. The thermal power peak regulation transformation method based on the node link matrix according to claim 4 is characterized in that: The power generation technology constraints include: upper and lower output limits of conventional units, ramp-up constraints of conventional units, start-up and shutdown constraints of conventional units, and upper and lower limits of deep peak-shaving transformation of thermal power units; The conventional unit output upper and lower limit constraints include: ； The conventional unit climbing constraints include: ； ； The conventional unit start-up and shutdown constraints include: ； ； The upper and lower limit constraints for deep peak load regulation of thermal power units include: ； in, and Respectively represent the minimum output power and maximum output power of conventional unit g, represents the real-time power generation of electrochemical energy storage s at time t, and Respectively represent the ramp-up rate and ramp-down rate of conventional units, and They represent the minimum shutdown time and the minimum startup time of the unit at node i, respectively. Indicates the current calculation time, represents the startup status of the unit at node i at time t, Indicates that the unit of node i is turned on, Indicates that the unit at node i is shut down, Indicates the lower limit of deep peak regulation of thermal power units, Indicates the upper limit of deep peak regulation of thermal power units.

6. The thermal power peak regulation transformation method based on the node link matrix according to claim 5 is characterized in that: The system power generation adequacy reserve constraint includes: ； in, represents the credible capacity factor of conventional unit g, represents the system power generation adequacy coefficient, Indicates the index of important load, represents the set of important loads, Represents the power demand of important load z at time t.

7. A thermal power peak regulation transformation device based on a node link matrix, characterized in that: include: System parameter acquisition module, node link matrix determination module, power flow calculation module, balance constraint construction module, planning model construction module, planning model solution module and thermal power peak regulation transformation module; The system parameter acquisition module is used to obtain the link relationship between nodes in the power system, cost parameters, system characteristic parameters, unit attribute parameters and power supply and demand parameters; wherein the cost parameters include: thermal power peak regulation cost parameters, energy storage operation and maintenance cost parameters and unit cost parameters; the system characteristic parameters include: system operation characteristic parameters, unit operation characteristic parameters and energy storage characteristic parameters; The node link matrix determination module is used to determine the node link matrix according to the link relationship between the nodes in the power system; the node link matrix is ​​determined according to the link relationship between the nodes in the power system, including: for each node in the power system, repeatedly executing the node link matrix confirmation process until all nodes are traversed to obtain the node link matrix; the node link matrix confirmation process includes: for the current node, marking the element value of the matrix position corresponding to the current node and itself as 0, and judging whether there is a link between the current node and the remaining nodes; if there is a link, and when the flow direction is from the current node to the remaining nodes, marking the element value of the matrix position corresponding to the current node and the remaining nodes as 1; if there is a link, and when the flow direction is from the remaining nodes to the current node, marking the element value of the matrix position corresponding to the current node and the remaining nodes as -1; if there is no link, marking the element value of the matrix position corresponding to the current node and the remaining nodes as 0; The power flow calculation module is used to correct the active injection power of each node in the power supply and demand parameters according to the node link matrix to obtain the actual power flow power of each node; the correction of the active injection power of each node in the power supply and demand parameters according to the node link matrix to obtain the actual power flow power of each node includes: performing a matrix product of the node link matrix and the node injection power matrix to obtain the node actual power flow power matrix; wherein the node injection power matrix is ​​composed of the active injection power of each node in the power supply and demand parameters; and obtaining the actual power flow power of each node according to the node actual power flow power matrix; The balance constraint building module is used to build a power balance constraint based on the actual power flow and power supply and demand parameters of each node; The planning model construction module is used to construct a system low-carbon collaborative planning model based on cost parameters, system characteristic parameters, and unit attribute parameters, with the goal of minimizing the sum of power system operation and maintenance costs and thermal power peak-shaving transformation costs, and to establish power generation technology constraints and system power generation adequacy reserve constraints; The planning model solving module is used to solve the system low-carbon collaborative planning model under the constraints of power balance constraints, power generation technology constraints and system power generation abundance and reserve constraints, and generate the minimum technical output of the transformed thermal power units when the sum of the power system operation and maintenance costs and the thermal power peak regulation transformation costs is minimized; The thermal power peak-shaving transformation module is used to perform thermal power peak-shaving transformation according to the minimum technical output of the thermal power unit after the transformation.

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