Source-network load-storage coordinated regulation and control method and device in extreme weather, terminal equipment and storage medium

Abstract

The invention discloses a source network load storage coordinated regulation and control method and device in extreme weather, terminal equipment and a storage medium. The method comprises the following steps: acquiring basic data of a power system including system load data, system topology data, system power data, adjustable generator set data, new energy generator set data in extreme weather and energy storage set data; according to the basic data, taking comprehensive minimization of the power generation cost, the start-stop cost, the wind and light abandoning cost, the load shedding cost and the load transfer cost of the adjustable generator set as a target, constructing a target function and a load constraint, a capacity constraint, a node power balance constraint, a unit technical constraint and an energy storage constraint of the target function; and solving the target function, generating the starting state of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charging and discharging state of the energy storage unit and the charging and discharging power of the energy storage unit when the cost is comprehensively minimum, and carrying out source-grid-load-storage coordinated regulation and control on the power system.

Description

Technical Field

[0001] The present invention relates to the technical field of power system control, and in particular to a source-grid-load-storage coordinated control method, device, terminal equipment and storage medium under extreme weather conditions. Background Art

[0002] In order to cope with extreme weather conditions, measures can be taken to ensure the safety of power supply in all links of the power system's "source, grid, load and storage". On the power supply side, this can be achieved by increasing the spare capacity of adjustable generator sets; on the grid side, cross-regional power transmission can be achieved through the "large grid"; on the load side, demand response can be used to improve the safety of power supply in extreme weather conditions; on the energy storage side, the emergency response capability can be improved by building energy storage facilities. When regulating the power system, the existing technology ignores the impact of weather factors on the grid regulation process and only considers the influencing factors on one side for regulation. For example, only the factors on the load side are considered, and then a model is constructed with the goal of achieving minimum cost to solve the corresponding dispatching parameters to regulate the load side; this method does not take into account the uncertainty of both the source and load sides, as well as the impact of factors such as extreme weather on the power system regulation process, and is not applicable in extreme weather. Summary of the invention

[0003] The embodiments of the present invention provide a method, device, terminal equipment and storage medium for coordinated control of source, grid, load and storage under extreme weather conditions, which can be applied in extreme weather conditions and can improve the control accuracy through comprehensive control, thereby further improving the safety and stability of the power system operation under extreme weather conditions.

[0004] An embodiment of the present invention provides a source-grid-load-storage coordinated control method under extreme weather conditions, comprising:

[0005] Obtaining basic data of the power system; wherein the basic data includes: system load data, system topology data, system power data, adjustable generator set data, new energy generator set data under extreme weather conditions, and energy storage unit data;

[0006] According to the basic data, the objective function of the source-grid-load-storage coordinated control model under extreme weather conditions is constructed with the goal of minimizing the power generation cost of the adjustable generator set, the start-up and shutdown cost of the adjustable generator set, the wind and solar power abandonment cost, the load shedding cost, and the load transfer cost; and the load constraints, capacity constraints, node power balance constraints, unit technical constraints, and energy storage constraints of the objective function are constructed based on the basic data;

[0007] Under the constraints of load constraints, capacity constraints, node power balance constraints, unit technical constraints and energy storage constraints, the objective function is solved to generate the starting state of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charging and discharging state of the energy storage unit and the charging and discharging power of the energy storage unit when the power generation cost of the adjustable generator set, the start-up and shutdown cost of the adjustable generator set, the wind and solar abandonment cost, the load shedding cost and the load transfer cost are minimized;

[0008] The source, grid, load and storage coordinated control of the power system is carried out according to the starting status of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charging and discharging status of the energy storage unit and the charging and discharging power of the energy storage unit.

[0009] Furthermore, the objective function of the source-grid-load-storage coordinated regulation model is specifically:

[0010]

[0011]

[0012] Among them, C t represents the objective function for the period t∈[1,T]; is the power generation cost of the adjustable generator set in the period t∈[1,T]; represents the start-stop cost of the adjustable generator set during the period t∈[1,T]; represents the cost of wind and solar power abandonment in the period t∈[1,T]; represents the load shedding cost in the period t∈[1,T]; represents the load transfer cost in time period t∈[1,T]; Represents the output of the adjustable generator set; N is the number of adjustable generator sets; a∈R N , b∈R N ,c=diag{c i}∈R N×N , represents the power generation cost parameter; is the startup cost of the ith adjustable generator set; is the deactivation cost of the ith adjustable generator set; is the starting state of the i-th adjustable generator set in time period t; is the disabled state of the i-th adjustable generator set in period t; τ curt Penalty cost coefficient for wind and solar power abandonment; is the abandoned wind and solar power of the new energy unit at time t; is the abandoned wind and solar power of renewable energy unit j at time t; M is the number of renewable energy units; is the load shedding cost of the non-interruptible load; and They are load shedding cost of the first-level interruptible load, load shedding cost of the second-level interruptible load and load shedding cost of the third-level interruptible load respectively; The load shedding amount for non-interruptible loads; and are the load shedding amount of the first-level interruptible load, the load shedding amount of the second-level interruptible load, and the load shedding amount of the third-level interruptible load respectively; m is a node in the power system grid topology; Q is the set of nodes in the system; The load is transferred from time t to time t ′ The load transfer at the time.

[0013] Further, the load constraints include: non-transferable load constraints and transferable load constraints;

[0014] The non-transferable load constraint is:

[0015]

[0016] The transferable load constraint is:

[0017]

[0018] in, Indicates the proportion of non-interruptible load; and They represent the proportion of the first-level interruptible load, the proportion of the second-level interruptible load, and the proportion of the third-level interruptible load respectively; It indicates the proportion of transferable load; Represents the load forecast value of node m at time t.

[0019] Furthermore, the capacity constraint is:

[0020]

[0021] Among them, p ws,jt is the probability of wind turbine j being switched off at time t under wind speed ws; ws is the output threshold of wind turbine generator set; β + is the risk tolerance of the upper reserve capacity; - is the risk tolerance of the next reserve capacity; is the sum of the maximum outputs of the turned-on generator sets connected to node m; is the sum of the minimum outputs of the turned-on generator sets connected to node m; It indicates the additional spare capacity required when wind turbine j is shut down at time t.

[0022] Furthermore, the node power balance constraint is:

[0023]

[0024] Among them, θ m,t is the voltage phase angle of node m during period t; θ n,t is the voltage phase angle of node n during period t; x mn is the branch reactance between nodes m and n; is the maximum transmission power of branch mn; For the energy storage unit k∈S m The charge and discharge power at time t is When is discharge, When is charging; S m is the set of energy storage units connected to node m; is the output of adjustable generator set i at time t; E[·] represents the expectation of the random variable.

[0025] Furthermore, the unit technical constraints include: unit output constraints and unit climbing constraints;

[0026] The unit output constraint is determined according to the switch state of the adjustable generator set, the output upper limit of the adjustable generator set and the output lower limit of the adjustable generator set;

[0027] The unit climbing constraint is determined according to the positive climbing limit of the adjustable generator set, the negative climbing limit of the adjustable generator set, and the switch state of the adjustable generator set.

[0028] Further, the energy storage constraints include: energy storage capacity constraints and charge and discharge power constraints;

[0029] The energy storage capacity constraint is:

[0030]

[0031] The charge and discharge power constraints are:

[0032]

[0033] Among them, E k,t is the energy storage capacity of energy storage unit k at time t; is the charging efficiency of energy storage unit k; is the discharge efficiency of energy storage unit k; is the energy storage charging power of energy storage unit k at time t; is the energy storage discharge power of energy storage unit k at time t; is the upper limit of the discharge speed of the energy storage unit k; is the upper limit of the charging speed of energy storage unit k; is the lower limit of the energy storage capacity of energy storage unit k; is the upper limit of energy storage capacity of energy storage unit k.

[0034] Based on the above method embodiment, the present invention provides a corresponding device embodiment;

[0035] An embodiment of the present invention provides a source-grid-load-storage coordinated control device under extreme weather conditions, including: a data acquisition module, a model and constraint condition construction module, a model solving module, and a scheduling module;

[0036] The data acquisition module is used to acquire basic data of the power system; wherein the basic data includes: system load data, system topology data, system power data, adjustable generator set data, new energy generator set data under extreme weather conditions, and energy storage unit data;

[0037] The model and constraint condition construction module is used to construct the objective function of the source-grid-load-storage coordinated control model under extreme weather conditions based on the basic data, with the goal of minimizing the power generation cost of the adjustable generator set, the start-up and shutdown cost of the adjustable generator set, the wind and solar power abandonment cost, the load shedding cost and the load transfer cost; and construct the load constraint, capacity constraint, node power balance constraint, unit technical constraint and energy storage constraint of the objective function based on the basic data;

[0038] The model solving module is used to solve the objective function under the constraints of load constraints, capacity constraints, node power balance constraints, unit technical constraints and energy storage constraints, and generate the starting state of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charging and discharging state of the energy storage unit and the charging and discharging power of the energy storage unit when the power generation cost of the adjustable generator set, the start-up and shutdown cost of the adjustable generator set, the wind and solar abandonment cost, the load shedding cost and the load transfer cost are comprehensively minimized;

[0039] The scheduling module is used to perform source-grid-load-storage coordinated regulation of the power system according to the startup status of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charging and discharging status of the energy storage unit, and the charging and discharging power of the energy storage unit.

[0040] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the source-grid-load-storage coordinated control method under extreme weather conditions described in the above-mentioned embodiment of the invention.

[0041] 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 the source-grid-load-storage coordinated control method under extreme weather conditions described in the above-mentioned embodiment of the invention.

[0042] The following beneficial effects are achieved by implementing the present invention:

[0043] The present invention provides a method, device, terminal equipment and storage medium for coordinated control of source, grid, load and storage under extreme weather conditions. The method acquires basic data of the power system, and based on the basic data of the power system, takes the comprehensive minimization of the power generation cost of the adjustable generator set, the start-up and shutdown cost of the adjustable generator set, the wind and solar power abandonment cost, the load shedding cost and the load transfer cost as the goal, constructs the objective function of the coordinated control model of source, grid, load and storage under extreme weather conditions, as well as the load constraints, capacity constraints, node power balance constraints, unit technical constraints and energy storage constraints of the objective function, and then solves the objective function under the above constraints to obtain the startup state of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charging and discharging state of the energy storage unit and the charging and discharging state of the energy storage unit when the comprehensive cost is minimized. Electric power, and then carry out source-grid-load-storage coordinated regulation of the power system according to the solved data; because in extreme weather, the power system is mainly affected by the new energy generator sets, by obtaining the data of the adjustable generator sets on the source side and the data of the new energy generator sets under extreme weather, the system topology data and system power data on the grid side, the system load data on the load side and the energy storage unit data on the energy storage side to construct the objective function of the source-grid-load-storage coordinated regulation model under extreme weather, it can comprehensively analyze the conditions on all sides of the power system while considering the impact of weather on the power system output, and then obtain the corresponding regulation results on all sides, which can be applied to extreme weather when the power system is coordinated and regulated, and the accuracy of regulation can be improved through comprehensive regulation, further improving the safety and stability of the power system under extreme weather. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a flow chart of a source-grid-load-storage coordinated control method under extreme weather conditions provided by one embodiment of the present invention.

[0045] Figure 2 It is a schematic diagram of the relationship between the operating cost and the load shedding cost of the proportion of transferable load in different scenarios provided by an embodiment of the present invention.

[0046] Figure 3 It is a schematic diagram of the relationship between the total startup time of a thermal power generating set and the proportion of transferable load provided by an embodiment of the present invention.

[0047] Figure 4 It is a schematic diagram of the prediction results and prediction error range of wind power, photovoltaic power generation and load provided by an embodiment of the present invention.

[0048] Figure 5 It is a schematic diagram of startup capacity under different weather scenarios provided by an embodiment of the present invention.

[0049] Figure 6 It is a structural schematic diagram of a source-grid-load-storage coordinated control device under extreme weather conditions provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] like Figure 1 As shown, a source-grid-load-storage coordinated control method under extreme weather conditions is provided by an embodiment of the present invention, comprising:

[0052] Step S1: Obtain basic data of the power system; wherein the basic data includes: system load data, system topology data, system power data, adjustable generator set data, new energy generator set data under extreme weather conditions, and energy storage unit data;

[0053] Step S2: Based on the basic data, with the goal of minimizing the comprehensive cost of power generation of adjustable generator sets, the cost of starting and stopping adjustable generator sets, the cost of wind and solar power abandonment, the cost of load shedding and the cost of load transfer, construct an objective function of the source-grid-load-storage coordinated regulation model under extreme weather conditions; and construct load constraints, capacity constraints, node power balance constraints, unit technical constraints and energy storage constraints of the objective function based on the basic data;

[0054] Step S3: Under the constraints of load constraints, capacity constraints, node power balance constraints, unit technical constraints and energy storage constraints, the objective function is solved to generate the start-up state of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charge and discharge state of the energy storage unit and the charge and discharge power of the energy storage unit when the power generation cost of the adjustable generator set, the start and stop cost of the adjustable generator set, the wind and solar abandonment cost, the load shedding cost and the load transfer cost are minimized;

[0055] Step S4: performing source-grid-load-storage coordinated regulation of the power system according to the startup state of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charge and discharge state of the energy storage unit, and the charge and discharge power of the energy storage unit.

[0056] For step S1, basic data of the power system is obtained, and the basic data includes system load data, system topology data, system power data, adjustable generator set data, new energy generator set data under extreme weather conditions, and energy storage unit data. The system topology data mainly includes the number of system nodes and the connection relationship between each node. The system load data includes: load shedding cost and load attributes. The system power data includes: the sum of the maximum output of the turned-on generator sets, the sum of the minimum output of the turned-on generator sets, the voltage phase angle of each node, the reactance of each branch, and the maximum transmission power of each branch. The adjustable generator set data includes: the output of the adjustable generator set, the power generation cost parameter, the deactivation cost of the adjustable generator set, the number of adjustable generator sets, the switch state of the adjustable generator set, the output upper limit of the adjustable generator set, and the output lower limit of the adjustable generator set. The energy storage unit data includes: the energy storage unit set, the energy storage capacity of each energy storage unit, the charge and discharge efficiency of each energy storage unit, the charge and discharge speed upper limit of each energy storage unit, the capacity upper limit of each energy storage unit, and the capacity lower limit of each energy storage unit. The data of new energy power generation units include: wind and solar power abandonment penalty cost coefficient, wind and solar power abandonment power, the number of new energy units, the risk tolerance of upper reserve capacity and the risk tolerance of lower reserve capacity.

[0057] It is necessary to add that, if Figure 2 As shown in the figure, it can be seen that increasing the proportion of transferable loads can effectively reduce the operating cost and load shedding cost in different scenarios, and the load transfer cost increases with the increase of load transfer amount; among them, Figure 2 The scenarios given in the paper include strong winds, typhoons and haze weather. Figure 3 As shown in (a), it is the law of the total start-up time of thermal power generating units changing with the proportion of transferable load. It can be seen that with the increase of the proportion of transferable load, the start-up of thermal power units shows an increasing trend, and its main contribution to the growth comes from load transfer; at the same time, when the transferable load is low, due to the excessive wind speed in typhoon weather, a larger spare capacity is required, which makes the start-up number of thermal power units higher than other weather scenarios, but with the increase of the proportion of transferable load, part of the load is transferred to the off-peak period, which disperses the power supply pressure and makes the required start-up amount consistent with other scenarios. Figure 3 (b) and Figure 3 As shown in (c), with the increase of the proportion of transferable load, the role of load transfer mechanism increases, the peak shaving and valley filling effect becomes more obvious, and the load shedding amount gradually decreases until it reaches 0.

[0058] After obtaining the system load data, considering that the uncertainty of meteorological factors will affect the accuracy of load forecasting under extreme weather conditions, the load needs to be graded and the actual load at each moment should be made to obey the Gaussian distribution. Let m∈Q be the node in the power system grid topology, Q be the set of nodes in the system, is the load vector of node m, whose elements is the load forecast value of node m at time t, and this element obeys Gaussian distribution. At time t, the forecast amount of each type of load in node m can be distributed according to the proportion. Indicates the proportion of non-interruptible load; and They represent the proportion of the first-level interruptible load, the proportion of the second-level interruptible load, and the proportion of the third-level interruptible load respectively; represents the proportion of transferable load, and Need to meet: Non-interruptible loads correspond to extremely high load shedding costs Other interruptible but non-transferable loads correspond to different load shedding costs. In the present invention, the load shedding costs of interruptible loads are divided into three levels, namely, the load shedding costs of the first-level interruptible loads are: Load shedding cost of the second-level interruptible load and load shedding cost of the third-level interruptible load

[0059] In addition to the impact on load, extreme weather mainly affects new energy generators, mainly wind generators and photovoltaic generators. Figure 4 As shown in the figure, it is a schematic diagram of the prediction results and prediction error range of wind power, photovoltaic power generation and load. According to the figure, under typhoons and strong winds, wind power generation has a greater probability of being cut off. Let G be the set of adjustable generator sets in the power system, H be the set of energy generator sets in the power system, G m represents the set of adjustable generators connected to node m, H m Represents the set of new energy generators connected to node m, i∈G m represents the adjustable generator set at node m, j∈H m Represents the renewable energy generator set at node m. Similar to the load, the output of renewable energy also satisfies the Gaussian distribution, among which the wind power output Photovoltaic output The probability distribution of wind power output and photovoltaic output is affected by the weather. Taking wind power output and photovoltaic output as independent random variables, the probability distribution of the total output of new energy generators can be obtained as: in:

[0060]

[0061] In addition, in extreme weather, if the wind speed is too high, the wind turbine may be cut off, resulting in a situation where the wind turbine output is 0. For this type of situation, most current wind power output prediction models cannot make a direct judgment. Moreover, since the reason for the wind turbine to be cut out is not only the excessive wind speed, it is inaccurate to judge whether to cut out based solely on the wind speed and perform probabilistic modeling. Therefore, the present invention adopts Poisson distribution to count and fit the number of hours with 0 output under different wind speed ranges in historical data, and obtains the probability that the wind turbine output is 0 under wind speed ws:

[0062] p ws =P ws (y ws ≤δ|s wind =ws);

[0063] Among them, δ is a very small number, which is used to specify the output threshold of the wind turbine generator set. The wind speed ws can be divided into intervals, and we can get ws∈{ws 1 ,ws 2 ,…}, where ws 1 Indicates that the wind speed range is [0,1], ws 2 Indicates that the wind speed range is [1,2], and the wind speed range in each interval can be obtained by analogy. The unit of ws is m / s. ws Indicates the probability of machine cutting within a certain wind speed range.

[0064] For step S2, based on the basic data, the objective function of the source-grid-load-storage coordinated regulation model under extreme weather conditions is constructed with the goal of minimizing the comprehensive cost of power generation of adjustable generator sets, the cost of starting and stopping adjustable generator sets, the cost of wind and solar power abandonment, the cost of load shedding and the cost of load transfer.

[0065] In a preferred embodiment, the objective function of the source-grid-load-storage coordinated control model is specifically:

[0066]

[0067]

[0068] Among them, C t represents the objective function for the period t∈[1,T]; is the power generation cost of the adjustable generator set in the period t∈[1,T]; represents the start-stop cost of the adjustable generator set during the period t∈[1,T]; represents the cost of wind and solar power abandonment in the period t∈[1,T]; represents the load shedding cost in the period t∈[1,T]; represents the load transfer cost in time period t∈[1,T]; Indicates the output of the adjustable generator set. N is the number of adjustable generator sets; a∈R N , b∈R N ,c=diag{c i}∈R N×N , represents the power generation cost parameter; is the startup cost of the ith adjustable generator set; is the deactivation cost of the ith adjustable generator set; is the starting state of the i-th adjustable generator set in time period t; is the disabled state of the i-th adjustable generator set in period t; τ curt Penalty cost coefficient for wind and solar power abandonment; is the abandoned wind and solar power of the new energy unit at time t; is the abandoned wind and solar power of renewable energy unit j at time t; M is the number of renewable energy units; is the load shedding cost of the non-interruptible load; and They are load shedding cost of the first-level interruptible load, load shedding cost of the second-level interruptible load and load shedding cost of the third-level interruptible load respectively; The load shedding amount for non-interruptible loads; and are the load shedding amount of the first-level interruptible load, the load shedding amount of the second-level interruptible load, and the load shedding amount of the third-level interruptible load respectively; m is a node in the power system grid topology; Q is the set of nodes in the system; The load is transferred from time t to time t ′ The load transfer at the time.

[0069] Furthermore, load constraints, capacity constraints, node power balance constraints, unit technical constraints and energy storage constraints corresponding to the objective function are constructed.

[0070] In a preferred embodiment, the load constraints include: non-transferable load constraints and transferable load constraints;

[0071] The non-transferable load constraint is:

[0072]

[0073] For the transferable load, the load transferred out at each moment should be less than or equal to the transferable load at that moment. The transferable load constraint is:

[0074]

[0075] in, Indicates the proportion of non-interruptible load; and They represent the proportion of the first-level interruptible load, the proportion of the second-level interruptible load, and the proportion of the third-level interruptible load respectively; It indicates the proportion of transferable load; represents the load forecast value of node m at time t; t,t ′ ∈[1,T].

[0076] Preferably, considering the impact of extreme weather, considering that the total load random variable is independent of the random variable of system energy processing, the total load of node m minus the net load of new energy output is the random variable And the random variable It obeys Gaussian distribution, that is in:

[0077]

[0078] It is necessary to add that, if Figure 5 The figure shows the startup capacity under different weather scenarios, where the green and blue curves represent the startup capacity under the confidence level of 95% and 99% respectively, and the red and pink curves represent the startup capacity under the conservative and aggressive strategies respectively. The conservative strategy and the aggressive strategy refer to the increase of the reserve capacity to 10% and 2.5% of the load respectively. Since the reserve capacity set by the conservative strategy is low, there will be a higher risk of load shedding in some periods, while the reserve capacity set by the aggressive strategy is high, so more startup capacity is required, which increases the system operation cost.

[0079] Since the risk of wind turbine curtailment is usually borne by the positive reserve capacity, the wind turbine curtailment probability p is considered. ws , it can be seen that the spare capacity caused by the additional machine cutting required for positive standby for:

[0080]

[0081] Further capacity constraint construction is performed. In a preferred embodiment,

[0082]

[0083] Among them, p ws,jt is the probability of wind turbine j being switched off at time t under wind speed ws; ws is the output threshold of wind turbine generator set; β + is the constraint violation probability of the upper spare capacity, that is, the risk tolerance of the upper spare capacity; β - is the constraint violation probability of the lower reserve capacity, that is, the risk tolerance of the lower reserve capacity; is the sum of the maximum outputs of the turned-on generator sets connected to node m, is the minimum output sum of the turned-on generator sets connected to node m, It indicates the additional spare capacity required when wind turbine j is shut down at time t.

[0084] Preferably, the above formula can be rewritten into an equivalent form when solving the model:

[0085]

[0086] In UHV transmission lines, resistance is much smaller than reactance. Therefore, the power flow of node m,n∈Q in the UHV network during period t can be approximately expressed by the injection of active power as follows:

[0087]

[0088] Among them, θ m,t is the voltage phase angle of node m during period t; θ n,t is the voltage phase angle of node n during period t; x mn is the branch reactance between nodes m and n; is the maximum transmission power of branch mn.

[0089] In a preferred embodiment, the node power balance constraint can be further constructed by combining the above formula, specifically:

[0090]

[0091] in, For the energy storage unit k∈S m The charge and discharge power at time t is When is discharge, When is charging; S m is the set of energy storage units connected to node m; is the output of adjustable generator set i at time t; E[·] represents the expectation of the random variable.

[0092] In the power system, the start and stop states of adjustable generator sets can be represented by 0-1 decision variables, i.e. u i,t ∈{0,1} represents the start and stop state of generator set i at time t, 0 represents the shutdown state, and 1 represents the startup state. Then, the startup state of the i-th adjustable generator set in time period t and the shutdown state of the i-th adjustable generator set in time period t can be expressed as:

[0093]

[0094] in,[·] + =max[·,0].

[0095] In a preferred embodiment, the unit technical constraints include: unit output constraints and unit climbing constraints; the unit output constraints are determined according to the switching state of the adjustable generator set, the output upper limit of the adjustable generator set and the output lower limit of the adjustable generator set; the unit climbing constraints are determined according to the positive climbing limit of the adjustable generator set, the negative climbing limit of the adjustable generator set and the switching state of the adjustable generator set.

[0096] Specifically, the technical constraints of the adjustable generator set mainly include the output constraints and climbing constraints of the adjustable generator set.

[0097] The specific unit output constraints of the adjustable generator set are:

[0098]

[0099] in, is the lower limit of the output of the adjustable generator set i; is the upper limit of the output of the adjustable generator set i.

[0100] The specific climbing constraints of the adjustable generator set are:

[0101]

[0102] in, is the positive ramp limit of the adjustable generator set i; is the negative ramp limit of the adjustable generator set i.

[0103] In a preferred embodiment, the energy storage constraints include: energy storage capacity constraints and charge and discharge power constraints;

[0104] The energy storage capacity constraint is:

[0105]

[0106] The charge and discharge power constraints are:

[0107]

[0108] Among them, E k,t is the energy storage capacity of energy storage unit k at time t; is the charging efficiency of energy storage unit k; is the discharge efficiency of energy storage unit k; is the energy storage charging power of energy storage unit k at time t; is the energy storage discharge power of energy storage unit k at time t, is the upper limit of the discharge speed of the energy storage unit k; is the upper limit of the charging speed of energy storage unit k; is the lower limit of the energy storage capacity of energy storage unit k; is the upper limit of energy storage capacity of energy storage unit k.

[0109] For step S3, the mixed-integer linear programming (MILP) is used to solve the objective function, and finally Python is used to call the IBM ILOG CPLEX solver to solve the objective function under the above constraints to obtain the starting state u of the adjustable generator set when the power generation cost of the adjustable generator set, the start-up and shutdown cost of the adjustable generator set, the wind and solar abandonment cost, the load shedding cost and the load transfer cost are minimized. i,t , adjustable generator set output power Load shedding Load transfer Energy storage unit charging and discharging status and charging power of energy storage unit and discharge power

[0110] For step S4, according to the start-up state u of the adjustable generator set i,t Decide whether to start the traditional adjustable generator set, and then according to the output power of the adjustable generator set Adjust the output power of the adjustable generator set; according to the load shedding amount and load transfer Regulate the load side; determine the charging and discharging behavior of the energy storage unit according to the charging and discharging status of the energy storage unit, and and discharge power The energy storage unit under the corresponding charging and discharging behavior is regulated.

[0111] Based on the above method embodiment, the present invention provides a corresponding device embodiment.

[0112] like Figure 6 As shown, an embodiment of the present invention provides a source-grid-load-storage coordinated control device under extreme weather conditions, including: a data acquisition module, a model and constraint condition construction module, a model solving module, and a scheduling module;

[0113] The data acquisition module is used to acquire basic data of the power system; wherein the basic data includes: system load data, system topology data, system power data, adjustable generator set data, new energy generator set data under extreme weather conditions, and energy storage unit data;

[0114] The model and constraint condition construction module is used to construct the objective function of the source-grid-load-storage coordinated control model under extreme weather conditions based on the basic data, with the goal of minimizing the power generation cost of the adjustable generator set, the start-up and shutdown cost of the adjustable generator set, the wind and solar power abandonment cost, the load shedding cost and the load transfer cost; and construct the load constraint, capacity constraint, node power balance constraint, unit technical constraint and energy storage constraint of the objective function based on the basic data;

[0115] The model solving module is used to solve the objective function under the constraints of load constraints, capacity constraints, node power balance constraints, unit technical constraints and energy storage constraints, and generate the starting state of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charging and discharging state of the energy storage unit and the charging and discharging power of the energy storage unit when the power generation cost of the adjustable generator set, the start-up and shutdown cost of the adjustable generator set, the wind and solar abandonment cost, the load shedding cost and the load transfer cost are comprehensively minimized;

[0116] The scheduling module is used to perform source-grid-load-storage coordinated regulation of the power system according to the startup state of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charging and discharging state of the energy storage unit, and the charging and discharging power of the energy storage unit.

[0117] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units 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 may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0118] Those skilled in the art can clearly understand that for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0119] Based on the above method item embodiments, the present invention provides corresponding terminal device item embodiments.

[0120] An embodiment of the present invention provides a terminal device, including 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 a source-grid-load-storage coordinated control method under extreme weather conditions as described in any one of the present invention.

[0121] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0122] 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, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0123] The memory can be used to store the computer program, and the processor realizes various functions of the terminal device by running or executing the computer program 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 according to 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 Med i aCard, 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 devices.

[0124] Based on the above method item embodiments, the present invention provides a corresponding storage medium item embodiment.

[0125] An 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 a source-grid-load-storage coordinated control method under extreme weather conditions as described in any one of the present inventions.

[0126] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0127] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle 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 source-grid-load-storage coordinated control method under extreme weather conditions, characterized in that: include: Obtaining basic data of the power system; wherein the basic data includes: system load data, system topology data, system power data, adjustable generator set data, new energy generator set data under extreme weather conditions, and energy storage unit data; According to the basic data, the objective function of the source-grid-load-storage coordinated control model under extreme weather conditions is constructed with the goal of minimizing the power generation cost of the adjustable generator set, the start-up and shutdown cost of the adjustable generator set, the wind and solar power abandonment cost, the load shedding cost, and the load transfer cost; and the load constraints, capacity constraints, node power balance constraints, unit technical constraints, and energy storage constraints of the objective function are constructed based on the basic data; Under the constraints of load constraints, capacity constraints, node power balance constraints, unit technical constraints and energy storage constraints, the objective function is solved to generate the starting state of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charging and discharging state of the energy storage unit and the charging and discharging power of the energy storage unit when the power generation cost of the adjustable generator set, the start-up and shutdown cost of the adjustable generator set, the wind and solar abandonment cost, the load shedding cost and the load transfer cost are minimized; The source, grid, load and storage coordinated control of the power system is carried out according to the starting status of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charging and discharging status of the energy storage unit and the charging and discharging power of the energy storage unit.

2. The source-grid-load-storage coordinated control method under extreme weather conditions according to claim 1, characterized in that: The objective function of the source-grid-load-storage coordinated regulation model is specifically: Among them, C t represents the objective function for the period t∈[1,T]; is the power generation cost of the adjustable generator set in the period t∈[1,T]; represents the start-stop cost of the adjustable generator set during the period t∈[1,T]; represents the cost of wind and solar power abandonment in the period t∈[1,T]; represents the load shedding cost in the period t∈[1,T]; represents the load transfer cost in time period t∈[1,T]; Represents the output of the adjustable generator set; N is the number of adjustable generator sets; a∈R N , b∈R N ,c=diag{c i }∈R N×N , represents the power generation cost parameter; is the startup cost of the ith adjustable generator set; is the deactivation cost of the ith adjustable generator set; is the starting state of the i-th adjustable generator set in time period t; is the disabled state of the i-th adjustable generator set in period t; τ curt Penalty cost coefficient for wind and solar power abandonment; is the abandoned wind and solar power of the new energy unit at time t; is the abandoned wind and solar power of renewable energy unit j at time t; M is the number of renewable energy units; is the load shedding cost of the non-interruptible load; and They are load shedding cost of the first-level interruptible load, load shedding cost of the second-level interruptible load and load shedding cost of the third-level interruptible load respectively; The load shedding amount for non-interruptible loads; and are the load shedding amount of the first-level interruptible load, the load shedding amount of the second-level interruptible load, and the load shedding amount of the third-level interruptible load respectively; m is a node in the power system grid topology; Q is the set of nodes in the system; The load is transferred from time t to time t ′ The load transfer at the time.

3. The source-grid-load-storage coordinated control method under extreme weather conditions according to claim 2, characterized in that: The load constraints include: non-transferable load constraints and transferable load constraints; The non-transferable load constraint is: The transferable load constraint is: in, Indicates the proportion of non-interruptible load; and They represent the proportion of the first-level interruptible load, the proportion of the second-level interruptible load, and the proportion of the third-level interruptible load respectively; It indicates the proportion of transferable load; Represents the load forecast value of node m at time t.

4. The source-grid-load-storage coordinated control method under extreme weather conditions according to claim 3, characterized in that: The capacity constraint is: Among them, p ws,jt is the probability of wind turbine j being switched off at time t under wind speed ws; ws is the output threshold of wind turbine generator set; β + is the risk tolerance of the upper reserve capacity; - is the risk tolerance of the next reserve capacity; is the sum of the maximum outputs of the turned-on generator sets connected to node m; is the sum of the minimum outputs of the turned-on generator sets connected to node m; It indicates the additional spare capacity required when wind turbine j is shut down at time t.

5. The source-grid-load-storage coordinated control method under extreme weather conditions according to claim 3, characterized in that: The node power balance constraint is: Among them, θ m,t is the voltage phase angle of node m during period t; θ n,t is the voltage phase angle of node n during period t; x mn is the branch reactance between nodes m and n; is the maximum transmission power of branch mn; For the energy storage unit k∈S m The charge and discharge power at time t is When is discharge, When is charging; S m is the set of energy storage units connected to node m; is the output of adjustable generator set i at time t; E[·] represents the expectation of the random variable.

6. The source-grid-load-storage coordinated control method under extreme weather conditions according to claim 5, characterized in that: The unit technical constraints include: unit output constraints and unit climbing constraints; The unit output constraint is determined according to the switch state of the adjustable generator set, the output upper limit of the adjustable generator set and the output lower limit of the adjustable generator set; The unit climbing constraint is determined according to the positive climbing limit of the adjustable generator set, the negative climbing limit of the adjustable generator set, and the switch state of the adjustable generator set.

7. The source-grid-load-storage coordinated control method under extreme weather conditions according to claim 6, characterized in that: The energy storage constraints include: energy storage capacity constraints and charge and discharge power constraints; The energy storage capacity constraint is: The charge and discharge power constraints are: Among them, E k,t is the energy storage capacity of energy storage unit k at time t; is the charging efficiency of energy storage unit k; is the discharge efficiency of energy storage unit k; is the energy storage charging power of energy storage unit k at time t; is the energy storage discharge power of energy storage unit k at time t; is the upper limit of the discharge speed of the energy storage unit k; is the upper limit of the charging speed of energy storage unit k; is the lower limit of the energy storage capacity of energy storage unit k; is the upper limit of energy storage capacity of energy storage unit k.

8. A source-grid-load-storage coordinated control device under extreme weather conditions, characterized in that: include: Data acquisition module, model and constraint building module, model solving module and scheduling module; The data acquisition module is used to acquire basic data of the power system; wherein the basic data includes: system load data, system topology data, system power data, adjustable generator set data, new energy generator set data under extreme weather conditions, and energy storage unit data; The model and constraint condition construction module is used to construct the objective function of the source-grid-load-storage coordinated control model under extreme weather conditions based on the basic data, with the goal of minimizing the power generation cost of the adjustable generator set, the start-up and shutdown cost of the adjustable generator set, the wind and solar power abandonment cost, the load shedding cost and the load transfer cost; and construct the load constraint, capacity constraint, node power balance constraint, unit technical constraint and energy storage constraint of the objective function based on the basic data; The model solving module is used to solve the objective function under the constraints of load constraints, capacity constraints, node power balance constraints, unit technical constraints and energy storage constraints, and generate the starting state of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charging and discharging state of the energy storage unit and the charging and discharging power of the energy storage unit when the power generation cost of the adjustable generator set, the start-up and shutdown cost of the adjustable generator set, the wind and solar abandonment cost, the load shedding cost and the load transfer cost are comprehensively minimized; The scheduling module is used to perform source-grid-load-storage coordinated regulation of the power system according to the startup state of the adjustable generator set, the output power of the adjustable generator set, the load shedding amount, the load transfer amount, the charging and discharging state of the energy storage unit, and the charging and discharging power of the energy storage unit.

9. A terminal device, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a source-grid-load-storage coordinated control method under extreme weather conditions as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute a source-grid-load-storage coordinated control method under extreme weather conditions as described in any one of claims 1 to 7.

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