A dynamic configuration method for new energy power system based on digital twin technology

Abstract

The present invention discloses a method for dynamic configuration of a new energy power system based on digital twin technology. The method includes: establishing a digital twin system of a new energy power system; obtaining and updating equipment parameters; the configuration demand assessment model outputs a comprehensive evaluation value of the configuration demand, compares until it is less than the evaluation threshold, and puts the equipment model library into the problem library of the configuration subsystem; the dynamic configuration model of the new energy power system outputs the construction data of the new energy power system, and adjusts the current equipment model library according to the construction data; until the obtained comprehensive evaluation value of the configuration demand is greater than the evaluation threshold, the current equipment model library is put into the project library of the configuration subsystem; the new energy power system is reconfigured to realize the dynamic configuration of the new energy power system. The method of the present invention can improve the robustness of the configuration scheme to deal with uncertainty, significantly reduce redundancy, and is conducive to the consumption of new energy.

Description

Technical Field

[0001] The present invention relates to a method for dynamically configuring a new energy power system, and in particular to a method for dynamically configuring a new energy power system based on digital twin technology. Background Art

[0002] At present, the power system is accelerating the construction of new energy power systems. The increase in uncertainty factors such as new energy output has led to an increase in the redundancy of configuration to cope with uncertainty. Therefore, it is urgent to propose a new configuration method for new energy power systems to achieve the best decision in the configuration stage.

[0003] The characterization of uncertainty in existing configuration methods is often based on the optimal power flow, and the "Nk check" is used to check whether the system meets the reliability requirements in typical scenarios. In the context of a high proportion of new energy, the uncertainty of intermittent new energy output greatly increases the uncertainty of the configuration boundary. Therefore, the existing configuration method easily causes the configuration scheme to lose its optimality. The existing configuration is usually an open-loop long-term configuration or a rolling configuration with a fixed period. Due to the lack of data accumulation, the long-term configuration has a high redundancy in order to cope with the uncertainty of the vision year, and the fixed period in the rolling configuration is usually relatively rigid and cannot reflect the real-time status and actual configuration requirements of the system. The existing configuration usually uses the factory value of the equipment parameters as the configuration input, but the equipment parameters will change during operation due to factors such as aging and environmental deterioration. The existing configuration cannot accurately grasp the changes in the equipment parameters, resulting in the configuration results easily losing their optimality. Therefore, it is urgent to propose a new configuration method for new energy power systems to effectively deal with the problem of increased redundancy caused by uncertainty and reflect the actual system status and configuration requirements. Summary of the invention

[0004] In order to solve the problems existing in the background technology, the present invention provides a new energy power system dynamic configuration method based on digital twin technology. The method of the present invention can timely and effectively evaluate the urgency of the configuration of the new energy power system through parameter correction and dynamic evaluation of the equipment, accurately determine the configuration requirements, and effectively deal with the uncertainty of new energy in massive scenarios through the problem library and project library, reduce the redundancy of configuration results, and promote the consumption of renewable energy.

[0005] The technical solution adopted by the present invention is:

[0006] The method for dynamically configuring a new energy power system of the present invention comprises the following steps:

[0007] Step 1) Establish a digital twin system of the new energy power system, including a device model subsystem, an evaluation subsystem and a configuration subsystem; the device model subsystem includes a device model library, and the device model library includes device models of various devices of the new energy power system; the evaluation subsystem includes a configuration demand evaluation model of the new energy power system; the configuration subsystem includes a new energy power system dynamic configuration model, a problem library and a project library of the new energy power system.

[0008] A digital twin system refers to a digital space that can represent the real state of a new energy power system, realize the mapping of the new energy power system to the digital twin system, and is conducive to guiding the configuration design and actual production of the new energy power system from a full life cycle perspective; each device model in the device model library of the device model subsystem of the digital twin system is the mapping of each device in the new energy power system in the digital space; the configuration requirement evaluation model of the evaluation subsystem of the digital twin system can truly evaluate the configuration requirements of the new energy power system; the dynamic configuration model of the configuration subsystem of the digital twin system can give a configuration plan. At the initial moment, there are no scenarios in the problem library and project library of the configuration subsystem, that is, an empty set. In multiple dynamic configuration processes, scenarios that are inferior to the evaluation threshold are placed in the problem library to form a problem library of the configuration subsystem including a collection of scenarios that are inferior to the evaluation threshold, and the corresponding configuration plan for the scenario that is inferior to the evaluation threshold is given through the dynamic configuration model. The configuration plan is the scenario that is better than the evaluation threshold. The scenario that is better than the evaluation threshold is placed in the project library to form a project library of the configuration subsystem including a collection of scenarios that are better than the evaluation threshold.

[0009] Step 2) for each device in the new energy power system and its device model in the device model library of the device model subsystem, the device model includes several device parameters of the device; after the new energy power system runs for a preset period of time, the observed value of each device parameter of each device at the current moment is obtained, and for the observed value of each device parameter at the current moment, the device parameter is corrected using the least squares method to obtain the estimated value of the device parameter and update the device parameter in each device model; state perception is realized through real-time information interaction and data is collected, and a true mapping of the new energy power system is obtained after correction.

[0010] At the initial moment, each device parameter of each device in the new energy power system is an initial value. When establishing the device model subsystem of the digital twin system, each device parameter of each device in the device model subsystem is set to an initial value. When the new energy power system starts to operate, the device parameters will deviate from the initial values ​​due to factors such as environmental changes and equipment aging. The new energy power system can be dynamically configured. Through information interaction between the digital twin system and the new energy power system, the operating data of the current new energy power system is collected during multiple repeated configurations. The least squares method is used for each repeated configuration to correct the device parameters in the device model library, thereby realizing the digital twin system's state perception of the new energy power system and ensuring that the digital twin system is a mapping of the real new energy power system.

[0011] Information exchange between the new energy power system and the digital twin system is achieved through sensors. Information exchange includes data collection and state perception. Data collection refers to collecting data from various devices in the new energy power system and sending it to the digital twin system. State perception refers to the digital twin system updating the parameters of the digital space and other information based on the collected data to ensure the accuracy of the mapping.

[0012] Step 3) The estimated values ​​of each device parameter in the device model of the device model library of the device model subsystem obtained in step 2) are used as the device parameters of each device of the new energy power system in the current operating state, and some operating data of the new energy power system at this time are obtained and input into the configuration demand evaluation model of the new energy power system of the evaluation subsystem. The configuration demand evaluation model outputs a comprehensive evaluation value of the configuration demand of the new energy power system, which is compared with the comprehensive evaluation value of the configuration demand according to the preset evaluation threshold of the trigger configuration. When the comprehensive evaluation value of the configuration demand is greater than the evaluation threshold, steps 2)-3) are repeated until the comprehensive evaluation value of the configuration demand is less than the evaluation threshold, and the device model library at this time and the comprehensive evaluation value of the configuration demand obtained by the current calculation are placed in the problem library of the configuration subsystem.

[0013] The preset evaluation threshold combines the development status and goals of the new energy power system. The role of the evaluation threshold is to compare the comprehensive evaluation value of the configuration requirements calculated by the evaluation subsystem of the digital twin system each time with the evaluation threshold to decide whether to trigger the configuration, that is, whether to continue with step 4).

[0014] Step 4) Obtain some operating data of the new energy power system at this time and input them into the dynamic configuration model of the new energy power system of the configuration subsystem of the digital twin system. The dynamic configuration model of the new energy power system outputs the construction data of the new energy power system at this time, and adjusts the equipment model library of the current equipment model subsystem according to the construction data.

[0015] Step 5) obtains each device model in the device model library of the device model subsystem adjusted in step 4) and performs the same operation as the device model in steps 2)-3). If the obtained comprehensive evaluation value of the configuration requirement is greater than the evaluation threshold, the current device model library is placed in the project library of the configuration subsystem; if the obtained comprehensive evaluation value of the configuration requirement is less than the evaluation threshold, repeat steps 4)-5) until the obtained comprehensive evaluation value of the configuration requirement is greater than the evaluation threshold, and the current device model library is placed in the project library of the configuration subsystem.

[0016] Each device model library and the comprehensive evaluation value of configuration requirements in the problem library correspond to each device model library in the project library. The problem library and the project library can be used as historical data sets. When the device model library of a new energy power system corresponds to one of the device model libraries in the problem library, the configuration of the new energy power system can be directly adjusted according to the device model library in the project library corresponding to the device model library in the problem library.

[0017] Step 6) reconfigures the new energy power system according to the current device model library put into the project library in step 5) to achieve dynamic configuration of the new energy power system.

[0018] In the step 1), the equipment of the new energy power system includes several power stations, transmission lines, electric load equipment and energy storage equipment. The power station includes several new energy generators and non-new energy generators. The new energy generators are specifically wind power generators or photovoltaic generators, etc., and the non-new energy generators are specifically coal-fired generators or gas generators, etc.; each new energy generator, non-new energy generator, electric load equipment and energy storage equipment are connected through each transmission line; the electric load equipment consumes electric power, and the electric load level refers to the electric power level parameter used for the normal operation of the electric load equipment. The energy storage equipment is specifically an energy storage battery, which is charged at the low point of the electric load level and discharged at the peak of the electric load level; except for the transmission line, each device in the new energy power system is located at its own node.

[0019] In the step 2), after the new energy power system runs for a preset period of time, the observed value of each device parameter of each device at the current moment is obtained, and the device parameter is corrected using the least squares method for the observed value of each device parameter at the current moment to obtain an estimated value of the device parameter, as follows:

[0020]

[0021] Among them, x i,k+1 represents the observed value of the i-th device parameter in the device model library of the device model subsystem at the current k+1 time. Represents the estimated value of the i-th device parameter in the device model library of the device model subsystem at the current k+1 time; adopts the estimated value of the i-th device parameter in the device model library of the device model subsystem at the current k+1 time Update the i-th device parameter in the device model library of the device model subsystem at the current k+1 time.

[0022] The equipment parameters in the new energy power system specifically include the voltage amplitude / phase angle of the power node, the active / reactive power transmitted by the transmission line, the rated power of the generator, the conductance and susceptance of the transmission line, etc. The least squares method is used to process a large amount of observation data of equipment parameters to restore their true values, and then the obtained true values ​​are used to correct the corresponding equipment parameters in the equipment library model. Through the dynamic update of equipment parameters, the digital twin system can realize the state perception of the new energy power system, ensuring that the digital twin system is a mapping of the real new energy power system.

[0023] In the step 3), the configuration demand assessment model of the new energy power system of the assessment subsystem is as follows:

[0024] Ω=f(LOLP E )+f(EENS E )+f(β car )+f(η re )+f(C inv )+f(C ope )

[0025] Among them, Ω represents the comprehensive evaluation value of configuration requirements, f() represents the normalization processing formula, LOLP E Represents the probability of power loss in the renewable energy power system; EENS E represents the expected value of power shortage of the new energy power system; β car represents the carbon emissions of the new energy power system, η re represents the renewable energy consumption rate of the new energy power system, C inv Represents the construction measurement value of the new energy power system, C ope Indicates the operating measurement value of the new energy power system.

[0026] The normalization processing formula is as follows:

[0027]

[0028] Among them, y represents the indicator to be processed of the normalized processing formula f(), and the indicator to be processed includes positive indicators and reverse indicators. When y is a positive indicator, the positive indicator y includes the renewable energy consumption rate η of the new energy power system re, the larger the value of the positive index y, the higher the comprehensive evaluation value of the configuration demand Ω; when y is a reverse index, the reverse index y includes the power load loss probability LOLP of the new energy power system E EENS E , carbon emissions β car , Construction measurement value C inv and running measurement value C ope , the smaller the value of the reverse index y, the higher the comprehensive evaluation value of the configuration demand Ω.

[0029] The power loss probability LOLP of the new energy power system E EENS E , carbon emissions β car and renewable energy consumption rate η re , as follows:

[0030]

[0031]

[0032]

[0033]

[0034]

[0035]

[0036] Wherein, T represents the time period between the current moment and the initial moment of operation of the new energy power system or the moment of the last repetition of step 2); the T period is divided into several periods, and Ξs represents the set of each period divided by the T period; p s represents the probability of time period s within time period T, p s =s / T; Indicates the power loss amount of the new energy power system in the time period s; is a binary number, when hour, otherwise represents the carbon emission factor of the i-th renewable energy generator or non-renewable energy generator in the energy power system, Q i represents the power generation of the i-th renewable energy generator or non-renewable energy generator in the energy power system; N represents the total number of renewable energy generators and non-renewable energy generators in the power station; Q e Represents the total amount of electricity transmitted by the new energy power system, Q H represents the total power generation of each non-renewable energy generator in the renewable energy power system, Q reRepresents the total power generation of each renewable energy generator in the renewable energy power system; t represents the net present value of the new energy power system at time t, o t =1 / (1+d) -t , d represents the discount rate of the new energy power system at time t; ψ (×) Represents the residual value rate of fixed assets of equipment to be built in the new energy power system; C (×) Indicates the construction measurement value of the equipment to be built in the new energy power system; (×),t and z (×),t-1 They represent the status of the equipment to be built in the new energy power system at time t and time t-1 respectively. If the status of the equipment to be built is 1, it is 0 if it is not. i,t Indicates the state of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system at time t, which is 1 if it exists and 0 if it does not exist; C gen Represents the unit capacity fuel metering value of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system; P i,t Represents the output power of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system at time t.

[0037] The operation data of the new energy power system obtained in step 3) at this time includes the power loss load of the new energy power system in time period s The power generation Q of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system i 、Total power transmission of new energy power system Q e , the total power generation of each non-renewable energy generator in the new energy power system Q H And the total power generation Q of each new energy generator in the new energy power system re .

[0038] According to the load loss probability LOLP E and EENS E etc. to characterize the probability of failure of new energy power system operation under the influence of uncertainty; according to the carbon emission β car and renewable energy consumption rate η re etc. to characterize the possible impact of new energy power systems on the environment; according to the construction measurement value C inv and running measurement value C ope To characterize the cost of construction and operation of new energy power systems.

[0039] In the step 4), the dynamic configuration model of the new energy power system of the configuration subsystem of the digital twin system is specifically the objective function of the new energy power system under the condition of considering the constraints of the new energy power system. The objective function of the new energy power system is specifically as follows:

[0040]

[0041] in, It represents the removal measurement value of the unit load shedding of the new energy power system at time t; EENS t It represents the expected load shedding of the renewable energy power system at time t.

[0042] The several operating data of the new energy power system obtained in step 4) at this time include the unit capacity fuel metering value C of the i-th new energy generator or non-new energy generator in the new energy power system gen And the removal measurement value of the unit load shedding of the new energy power system at time t The construction data of the new energy power system at this time output by the dynamic configuration model of the new energy power system includes the state z of the equipment to be built in the new energy power system at time t (×),t , the output power P of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system at time t i,t And the expected load shedding EENS of the new energy power system at time t t .

[0043] The constraints of the new energy power system are as follows:

[0044] z (×),t-1 ≤z (×),t

[0045] EENS t ≤EENS set

[0046]

[0047]

[0048]

[0049] Among them, EENS set Indicates the expected value of the preset power supply shortage of the new energy power system; M r Represents the constant term of the new energy power system, M r is a very large number; r,t represents the state of the rth transmission line in the renewable energy power system at time t, which is 1 if it exists and 0 if it does not exist; the rth transmission line in the renewable energy power system is located between the uth node and the vth node in the renewable energy power system, P uv,t represents the active power transmitted from the uth node to the vth node on the rth transmission line in the renewable energy power system at time t, P vu,trepresents the active power transmitted from the vth node to the uth node on the rth transmission line in the renewable energy power system at time t; θ u,t represents the power angle of the u-th node in the renewable energy power system at time t, θ v,t represents the power angle of the vth node in the renewable energy power system at time t; w r represents the reactance of the rth transmission line in the power network; each new energy generator, non-new energy generator and energy storage device in the new energy power system constitutes a first device set, and the first device set includes a plurality of first devices, P g,t represents the output power of the g-th first device in the new energy power system at time t; and represent the minimum output power and maximum output power of the g-th first device in the new energy power system respectively; g,t Indicates the status of the g-th first device in the new energy power system, which is 1 if it exists and 0 if it does not exist; ur Represents the element in the uth row and rth column of the association matrix composed of each node and each transmission line in the new energy power system, G ug represents the element in the uth row and gth column of the association matrix formed by each node and each first device in the new energy power system, W uε Represents the element in the uth row and the εth column of the association matrix composed of each node and each electric load device in the new energy power system, It represents the active power demand of the εth electric load device in the renewable energy power system at time t.

[0050] The several operating data of the new energy power system obtained in step 4) at this time also include the expected value EENS of the preset power shortage of the new energy power system set And the active power demand of the εth electric load device in the new energy power system at time t The construction data of the new energy power system at this time output by the dynamic configuration model of the new energy power system also includes the active power P transmitted from the uth node to the vth node on the rth transmission line in the new energy power system at time t uv,t , the active power P transmitted from the vth node to the uth node on the rth transmission line in the new energy power system at time t vu,t And the output power P of the g-th first device in the new energy power system at time t g,t .

[0051] The device model library of the current device model subsystem is adjusted according to the construction data. Specifically, the device model of the equipment to be built that is in the existing state is added to the device model library of the device model subsystem according to the construction data, and the output power of each new energy generator or non-new energy generator in the new energy power system, the expected load shedding amount of the new energy power system, the active power transmitted on each transmission line in the new energy power system, and the output power of each first device in the new energy power system are adjusted according to the output construction data.

[0052] In the step 5), the final construction data of the new energy power system, that is, the construction data of the current equipment model library, is obtained by repeating steps 4)-5), and the current equipment model library is placed in the project library of the configuration subsystem.

[0053] In the step 6), the new energy power system is reconfigured according to the current equipment model library put into the project library in step 5), that is, the construction of the new energy power system is adjusted according to the final construction data to realize the dynamic configuration of the new energy power system.

[0054] The beneficial effects of the present invention are:

[0055] The method of the present invention is a new method for realizing dynamic configuration of a new energy power system under large-scale grid connection of new energy, which overcomes the deficiency of high redundancy in dealing with uncertainty in previous configuration methods; the method of the present invention can accurately evaluate the configuration requirements of the new energy power system based on digital twin technology, solve the problem that the configuration scheme is prone to lose optimality due to the uncertainty of new energy, ensure the optimal configuration of equipment in the new energy power system, reduce the redundancy of configuration results, and improve the absorption rate of new energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a logic block diagram of the method of the present invention;

[0057] Figure 2 It is a schematic diagram of the new energy power system and the digital twin system in the present invention. DETAILED DESCRIPTION

[0058] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0059] like Figure 1 As shown, the new energy power system dynamic configuration method of the present invention includes the following steps:

[0060] Step 1) Establish a digital twin system of the new energy power system, such as Figure 2As shown, it includes a device model subsystem, an evaluation subsystem and a configuration subsystem; the device model subsystem includes a device model library, and the device model library includes device models of various devices of the new energy power system; the evaluation subsystem includes a configuration demand evaluation model of the new energy power system; the configuration subsystem includes a new energy power system dynamic configuration model, a problem library and a project library of the new energy power system.

[0061] In step 1), the equipment of the new energy power system includes several power stations, transmission lines, electric load equipment and energy storage equipment. The power station includes several new energy generators and non-new energy generators. The new energy generators are specifically wind power generators or photovoltaic generators, and the non-new energy generators are specifically coal-fired generators or gas generators. Each new energy generator, non-new energy generator, electric load equipment and energy storage equipment are connected through each transmission line; the electric load equipment consumes electric power, and the electric load level refers to the electric power level parameter used for the normal operation of the electric load equipment. The energy storage equipment is specifically an energy storage battery, which is charged at the low point of the electric load level and discharged at the peak of the electric load level; except for the transmission line, each device in the new energy power system is located at its own node.

[0062] A digital twin system refers to a digital space that can represent the real state of a new energy power system, realize the mapping of the new energy power system to the digital twin system, and is conducive to guiding the configuration design and actual production of the new energy power system from a full life cycle perspective; each device model in the device model library of the device model subsystem of the digital twin system is the mapping of each device in the new energy power system in the digital space; the configuration requirement evaluation model of the evaluation subsystem of the digital twin system can truly evaluate the configuration requirements of the new energy power system; the dynamic configuration model of the configuration subsystem of the digital twin system can give a configuration plan. At the initial moment, there are no scenarios in the problem library and project library of the configuration subsystem, that is, an empty set. In multiple dynamic configuration processes, scenarios that are inferior to the evaluation threshold are placed in the problem library to form a problem library of the configuration subsystem including a collection of scenarios that are inferior to the evaluation threshold, and the corresponding configuration plan for the scenario that is inferior to the evaluation threshold is given through the dynamic configuration model. The configuration plan is the scenario that is better than the evaluation threshold. The scenario that is better than the evaluation threshold is placed in the project library to form a project library of the configuration subsystem including a collection of scenarios that are better than the evaluation threshold.

[0063] Step 2) for each device in the new energy power system and its device model in the device model library of the device model subsystem, the device model includes several device parameters of the device; after the new energy power system runs for a preset period of time, the observed value of each device parameter of each device at the current moment is obtained, and for the observed value of each device parameter at the current moment, the device parameter is corrected using the least squares method to obtain the estimated value of the device parameter and update the device parameter in each device model; state perception is realized through real-time information interaction and data is collected, and a true mapping of the new energy power system is obtained after correction.

[0064] In step 2), after the new energy power system runs for a preset period of time, the observed value of each device parameter of each device at the current moment is obtained, and the device parameter is corrected using the least squares method for the observed value of each device parameter at the current moment to obtain the estimated value of the device parameter, as follows:

[0065]

[0066] Among them, x i,k+1 represents the observed value of the i-th device parameter in the device model library of the device model subsystem at the current k+1 time. Represents the estimated value of the i-th device parameter in the device model library of the device model subsystem at the current k+1 time; adopts the estimated value of the i-th device parameter in the device model library of the device model subsystem at the current k+1 time Update the i-th device parameter in the device model library of the device model subsystem at the current k+1 time.

[0067] The equipment parameters in the new energy power system specifically include the voltage amplitude / phase angle of the power node, the active / reactive power transmitted by the transmission line, the rated power of the generator, the conductance and susceptance of the transmission line, etc. The least squares method is used to process a large amount of observation data of equipment parameters to restore their true values, and then the obtained true values ​​are used to correct the corresponding equipment parameters in the equipment library model. Through the dynamic update of equipment parameters, the digital twin system can realize the state perception of the new energy power system, ensuring that the digital twin system is a mapping of the real new energy power system.

[0068] At the initial moment, each device parameter of each device in the new energy power system is an initial value. When establishing the device model subsystem of the digital twin system, each device parameter of each device in the device model subsystem is set to an initial value. When the new energy power system starts to operate, the device parameters will deviate from the initial values ​​due to factors such as environmental changes and equipment aging. The new energy power system can be dynamically configured. Through information interaction between the digital twin system and the new energy power system, the operating data of the current new energy power system is collected during multiple repeated configurations. The least squares method is used for each repeated configuration to correct the device parameters in the device model library, thereby realizing the digital twin system's state perception of the new energy power system and ensuring that the digital twin system is a mapping of the real new energy power system.

[0069] Information exchange between the new energy power system and the digital twin system is achieved through sensors. Information exchange includes data collection and state perception. Data collection refers to collecting data from various devices in the new energy power system and sending it to the digital twin system. State perception refers to the digital twin system updating the parameters of the digital space and other information based on the collected data to ensure the accuracy of the mapping.

[0070] Step 3) The estimated values ​​of each device parameter in the device model of the device model library of the device model subsystem obtained in step 2) are used as the device parameters of each device of the new energy power system in the current operating state, and some operating data of the new energy power system at this time are obtained and input into the configuration demand evaluation model of the new energy power system of the evaluation subsystem. The configuration demand evaluation model outputs a comprehensive evaluation value of the configuration demand of the new energy power system, which is compared with the comprehensive evaluation value of the configuration demand according to the preset evaluation threshold of the trigger configuration. When the comprehensive evaluation value of the configuration demand is greater than the evaluation threshold, steps 2)-3) are repeated until the comprehensive evaluation value of the configuration demand is less than the evaluation threshold, and the device model library at this time and the comprehensive evaluation value of the configuration demand obtained by the current calculation are placed in the problem library of the configuration subsystem.

[0071] In step 3), the configuration demand assessment model of the new energy power system of the assessment subsystem is as follows:

[0072] Ω=f(LOLP E )+f(EENS E )+f(β car )+f(η re )+f(C inv )+f(C ope )

[0073] Among them, Ω represents the comprehensive evaluation value of configuration requirements, f() represents the normalization processing formula, LOLP E Represents the probability of power loss in the renewable energy power system; EENSE represents the expected value of power shortage of the new energy power system; β car represents the carbon emissions of the new energy power system, η re represents the renewable energy consumption rate of the new energy power system, C inv Represents the construction measurement value of the new energy power system, C ope Indicates the operating measurement value of the new energy power system.

[0074] The normalization processing formula is as follows:

[0075]

[0076] Among them, y represents the indicator to be processed of the normalized processing formula f(), and the indicator to be processed includes positive indicators and reverse indicators. When y is a positive indicator, the positive indicator y includes the renewable energy consumption rate η of the new energy power system re , the larger the value of the positive index y, the higher the comprehensive evaluation value of the configuration demand Ω; when y is a reverse index, the reverse index y includes the power load loss probability LOLP of the new energy power system E EENS E , carbon emissions β car , Construction measurement value C inv and running measurement value C ope , the smaller the value of the reverse index y, the higher the comprehensive evaluation value of the configuration demand Ω.

[0077] Power loss probability LOLP of renewable energy power system E EENS E , carbon emissions β car and renewable energy consumption rate η re , as follows:

[0078]

[0079]

[0080]

[0081]

[0082]

[0083]

[0084] Wherein, T represents the time period between the current moment and the initial moment of operation of the new energy power system or the moment of the last repetition of step 2); the T period is divided into several periods, and Ξs represents the set of each period divided by the T period; ps represents the probability of time period s within time period T, p s =s / T; Indicates the power loss amount of the new energy power system in the time period s; is a binary number, when hour, otherwise represents the carbon emission factor of the i-th renewable energy generator or non-renewable energy generator in the energy power system, Q i represents the power generation of the i-th renewable energy generator or non-renewable energy generator in the energy power system; N represents the total number of renewable energy generators and non-renewable energy generators in the power station; Q e Represents the total amount of electricity transmitted by the new energy power system, Q H represents the total power generation of each non-renewable energy generator in the renewable energy power system, Q re Represents the total power generation of each renewable energy generator in the renewable energy power system; t represents the net present value of the new energy power system at time t, o t =1 / (1+d) -t , d represents the discount rate of the new energy power system at time t; ψ (×) Represents the residual value rate of fixed assets of equipment to be built in the new energy power system; C (×) Indicates the construction measurement value of the equipment to be built in the new energy power system; (×),t and z (×),t-1 They represent the status of the equipment to be built in the new energy power system at time t and time t-1 respectively. If the status of the equipment to be built is 1, it is 0 if it is not. i,t Indicates the state of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system at time t, which is 1 if it exists and 0 if it does not exist; C gen Represents the unit capacity fuel metering value of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system; P i,t Represents the output power of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system at time t.

[0085] The operation data of the new energy power system obtained in step 3) at this time includes the power loss load of the new energy power system in time period s The power generation Q of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system i 、Total power transmission of new energy power system Q e , the total power generation of each non-renewable energy generator in the new energy power system Q H And the total power generation Q of each new energy generator in the new energy power system re .

[0086] According to the load loss probability LOLP E and EENS E etc. to characterize the probability of failure of new energy power system operation under the influence of uncertainty; according to the carbon emission β car and renewable energy consumption rate η re etc. to characterize the possible impact of new energy power systems on the environment; according to the construction measurement value C inv and running measurement value C ope To characterize the cost of construction and operation of new energy power systems.

[0087] The preset evaluation threshold combines the development status and goals of the new energy power system. The role of the evaluation threshold is to compare the comprehensive evaluation value of the configuration requirements calculated by the evaluation subsystem of the digital twin system each time with the evaluation threshold to decide whether to trigger the configuration, that is, whether to continue with step 4).

[0088] Step 4) Obtain some operating data of the new energy power system at this time and input them into the dynamic configuration model of the new energy power system of the configuration subsystem of the digital twin system. The dynamic configuration model of the new energy power system outputs the construction data of the new energy power system at this time, and adjusts the equipment model library of the current equipment model subsystem according to the construction data.

[0089] In step 4), the dynamic configuration model of the new energy power system of the configuration subsystem of the digital twin system is specifically the objective function of the new energy power system considering the constraints of the new energy power system. The objective function of the new energy power system is as follows:

[0090]

[0091] in, It represents the removal measurement value of the unit load shedding of the new energy power system at time t; EENS t It represents the expected load shedding of the renewable energy power system at time t.

[0092] The several operating data of the new energy power system obtained in step 4) at this time include the unit capacity fuel metering value C of the i-th new energy generator or non-new energy generator in the new energy power system gen And the removal measurement value of the unit load shedding of the new energy power system at time t The construction data of the new energy power system at this time output by the dynamic configuration model of the new energy power system includes the state z of the equipment to be built in the new energy power system at time t (×),t , the output power P of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system at time t i,tAnd the expected load shedding EENS of the new energy power system at time t t .

[0093] The specific constraints of the new energy power system are as follows:

[0094] z (×),t-1 ≤z (×),t

[0095] EENS t ≤EENS set

[0096]

[0097]

[0098]

[0099] Among them, EENS set Indicates the expected value of the preset power supply shortage of the new energy power system; M r Represents the constant term of the new energy power system, M r is a very large number; r,t represents the state of the rth transmission line in the renewable energy power system at time t, which is 1 if it exists and 0 if it does not exist; the rth transmission line in the renewable energy power system is located between the uth node and the vth node in the renewable energy power system, P uv,t represents the active power transmitted from the uth node to the vth node on the rth transmission line in the renewable energy power system at time t, P vu,t represents the active power transmitted from the vth node to the uth node on the rth transmission line in the renewable energy power system at time t; θ u,t represents the power angle of the u-th node in the renewable energy power system at time t, θ v,t represents the power angle of the vth node in the renewable energy power system at time t; w r represents the reactance of the rth transmission line in the power network; each new energy generator, non-new energy generator and energy storage device in the new energy power system constitutes a first device set, and the first device set includes a plurality of first devices, P g,t represents the output power of the g-th first device in the new energy power system at time t; and represent the minimum output power and maximum output power of the g-th first device in the new energy power system respectively; g,t Indicates the status of the g-th first device in the new energy power system, which is 1 if it exists and 0 if it does not exist; ur Represents the element in the uth row and rth column of the association matrix composed of each node and each transmission line in the new energy power system, Gug represents the element in the uth row and gth column of the association matrix formed by each node and each first device in the new energy power system, W uε Represents the element in the uth row and the εth column of the association matrix composed of each node and each electric load device in the new energy power system, It represents the active power demand of the εth electric load device in the renewable energy power system at time t.

[0100] The several operating data of the new energy power system obtained in step 4) at this time also include the expected value EENS of the preset power shortage of the new energy power system set And the active power demand of the εth electric load device in the new energy power system at time t The construction data of the new energy power system at this time output by the dynamic configuration model of the new energy power system also includes the active power P transmitted from the uth node to the vth node on the rth transmission line in the new energy power system at time t uv,t , the active power P transmitted from the vth node to the uth node on the rth transmission line in the new energy power system at time t vu,t And the output power P of the g-th first device in the new energy power system at time t g,t .

[0101] The device model library of the current device model subsystem is adjusted according to the construction data. Specifically, the device model of the equipment to be built that is in the existing state is added to the device model library of the device model subsystem according to the construction data, and the output power of each new energy generator or non-new energy generator in the new energy power system, the expected load shedding amount of the new energy power system, the active power transmitted on each transmission line in the new energy power system, and the output power of each first device in the new energy power system are adjusted according to the output construction data.

[0102] Step 5) obtains each device model in the device model library of the device model subsystem adjusted in step 4) and performs the same operation as the device model in steps 2)-3). If the obtained comprehensive evaluation value of the configuration requirement is greater than the evaluation threshold, the current device model library is placed in the project library of the configuration subsystem; if the obtained comprehensive evaluation value of the configuration requirement is less than the evaluation threshold, repeat steps 4)-5) until the obtained comprehensive evaluation value of the configuration requirement is greater than the evaluation threshold, and the current device model library is placed in the project library of the configuration subsystem.

[0103] In step 5), after repeating steps 4)-5), the final construction data of the new energy power system, ie, the construction data of the current equipment model library, is obtained, and the current equipment model library is placed in the project library of the configuration subsystem.

[0104] Each device model library and the comprehensive evaluation value of configuration requirements in the problem library correspond to each device model library in the project library. The problem library and the project library can be used as historical data sets. When the device model library of a new energy power system corresponds to one of the device model libraries in the problem library, the configuration of the new energy power system can be directly adjusted according to the device model library in the project library corresponding to the device model library in the problem library.

[0105] Step 6) reconfigures the new energy power system according to the current device model library put into the project library in step 5) to achieve dynamic configuration of the new energy power system.

[0106] In step 6), the new energy power system is reconfigured according to the current equipment model library put into the project library in step 5), that is, the construction of the new energy power system is adjusted according to the final construction data to realize the dynamic configuration of the new energy power system.

[0107] The specific embodiments of the present invention are as follows:

[0108] Taking the IEEE 30-node new energy power system as an example, the specific implementation of the present invention is described in detail in combination with the technical solution and the accompanying drawings.

[0109] The new energy power system includes 30 power nodes and 41 power lines. Six generators are connected to power nodes 1, 2, 5, 8, 11, and 13. The generators on power nodes 5, 8, 11, and 13 are new energy generators, and the remaining generators are non-new energy generators.

[0110] The equipment to be selected includes 10 lines, 5 generators (2 coal-fired generators, 1 gas-fired generator, 2 wind turbines), and 2 energy storages. The equipment parameters of the components to be selected are shown in Table 1-2 below:

[0111] Table 1 Parameters of the selected power line equipment

[0112] Power lines to be selected First Node End Node Resistance / Ω Reactance / Ω Transmission capacity / MW Length / km Power line to be selected 1 1 2 0.02 0.06 160 62 Power lines to be selected 2 2 4 0.03 0.07 120 86 Power lines to be selected 3 2 5 0.07 0.15 120 74 Power lines to be selected 4 2 6 0.01 0.02 120 84 Power lines to be selected 5 4 6 0.06 0.2 160 62 Power lines to be selected 6 5 7 0.0497 0.192 175 50 Power lines to be selected 7 6 7 0.0057 0.0447 100 62 Power lines to be selected 8 10 19 0.0057 0.0447 100 62 Power lines to be selected 9 10 24 0.0057 0.0447 100 62 Power lines to be selected 10 14 18 0.0078 0.0606 100 84

[0113] Table 2 Parameters of the selected generators and power storage devices

[0114] dynamo node Capacity(MW) Coal-fired generator to be selected 1 30 80 Coal-fired generators to be selected 2 15 90 Gas generator to be selected 1 26 60 Wind turbine generator to be selected 1 17 50 Wind turbines to be selected 2 17 50 Power storage equipment to be selected 1 4 30 Power storage equipment to be selected 2 10 20

[0115] In step 2), the equipment parameters before and after correction are shown in Table 3 below:

[0116] Table 3 Equipment parameters of the original power lines 1-10 before and after modification

[0117]

[0118] In step 3), the preset time period of 1 year is used as the evaluation interval, and the comprehensive evaluation value of the configuration demand in the first year is 0.951. It can be seen that the comprehensive evaluation value of the configuration demand in the first year is better than the evaluation threshold, so no equipment is invested in the first year. When the comprehensive evaluation value of the configuration demand is worse than the evaluation threshold, the current scenario is placed in the problem library of the digital twin system, triggering step 3 to perform dynamic configuration of the new energy power system and obtain the configuration plan for the current scenario. Since the results are not met in the 2nd / 3rd / 5th / 6th / 7th year, the above years are placed in the problem library.

[0119] The configuration scheme is used as the boundary, that is, it is invested and constructed in the device model library of the digital twin system, and step 2 is performed again in the digital twin system. If the comprehensive evaluation value of the configuration requirements of the post-configuration scenario is better than the evaluation threshold, the configuration scheme is placed in the project library of the digital twin system, as shown in Table 4 below.

[0120] Table 4 Dynamic configuration scheme

[0121]

[0122]

[0123] Finally, construction will be carried out in the new energy power system according to the configuration plan in the project library, that is, the investment and construction of the equipment in the project library will be completed within the specified period.

Claims

1. A method for dynamic configuration of a new energy power system based on digital twin technology, characterized in that: The steps include: Step 1) Establish a digital twin system of the new energy power system, including a device model subsystem, an evaluation subsystem and a configuration subsystem; the device model subsystem includes a device model library, and the device model library includes device models of various devices of the new energy power system; the evaluation subsystem includes a configuration demand evaluation model of the new energy power system; the configuration subsystem includes a new energy power system dynamic configuration model, a problem library and a project library of the new energy power system; Step 2) for each device in the new energy power system and its device model in the device model library of the device model subsystem, the device model includes several device parameters of the device; after the new energy power system runs for a preset period of time, the observed value of each device parameter of each device at the current moment is obtained, and for the observed value of each device parameter at the current moment, the device parameter is corrected by using the least square method to obtain the estimated value of the device parameter and update the device parameter in each device model; Step 3) The estimated values ​​of each device parameter in the device model of the device model library of the device model subsystem obtained in step 2) are respectively used as the device parameters of each device of the new energy power system in the current operating state, and some operating data of the new energy power system at this time are obtained and input into the configuration demand evaluation model of the new energy power system of the evaluation subsystem. The configuration demand evaluation model outputs a comprehensive evaluation value of the configuration demand of the new energy power system, which is compared with the preset evaluation threshold and the comprehensive evaluation value of the configuration demand. When the comprehensive evaluation value of the configuration demand is greater than the evaluation threshold, steps 2)-3) are repeated until the comprehensive evaluation value of the configuration demand is less than the evaluation threshold, and the device model library at this time and the comprehensive evaluation value of the configuration demand obtained by the current calculation are placed in the question library of the configuration subsystem; Step 4) obtaining some operating data of the new energy power system at this time and inputting them into the dynamic configuration model of the new energy power system of the configuration subsystem of the digital twin system; the dynamic configuration model of the new energy power system outputs the construction data of the new energy power system at this time, and adjusts the equipment model library of the current equipment model subsystem according to the construction data; Step 5) obtains each device model in the device model library of the device model subsystem adjusted in step 4) and performs the same operation as the device model in steps 2)-3). If the obtained configuration requirement comprehensive evaluation value is greater than the evaluation threshold, the current device model library is placed in the project library of the configuration subsystem; if the obtained configuration requirement comprehensive evaluation value is less than the evaluation threshold, repeat steps 4)-5) until the obtained configuration requirement comprehensive evaluation value is greater than the evaluation threshold, and the current device model library is placed in the project library of the configuration subsystem; Step 6) reconfigures the new energy power system according to the current device model library put into the project library in step 5) to achieve dynamic configuration of the new energy power system.

2. According to claim 1, a new energy power system dynamic configuration method based on digital twin technology is characterized by: In the step 1), the equipment of the new energy power system includes several power stations, transmission lines, electric load equipment and energy storage equipment. The power station includes several new energy generators and non-new energy generators. The new energy generator is specifically a wind power generator or a photovoltaic generator, and the non-new energy generator is specifically a coal-fired generator or a gas generator; each new energy generator, non-new energy generator, electric load equipment and energy storage equipment are connected through each transmission line; the energy storage equipment is specifically an energy storage battery; except for the transmission line, each device in the new energy power system is located at its own node.

3. According to a method for dynamic configuration of a new energy power system based on digital twin technology according to claim 1, it is characterized by: In the step 2), after the new energy power system runs for a preset period of time, the observed value of each device parameter of each device at the current moment is obtained, and the device parameter is corrected using the least squares method for the observed value of each device parameter at the current moment to obtain an estimated value of the device parameter, as follows: Among them, x i,k+1 represents the observed value of the i-th device parameter in the device model library of the device model subsystem at the current k+1 time. Represents the estimated value of the i-th device parameter in the device model library of the device model subsystem at the current k+1 time; adopts the estimated value of the i-th device parameter in the device model library of the device model subsystem at the current k+1 time Update the i-th device parameter in the device model library of the device model subsystem at the current k+1 time.

4. According to claim 2, a new energy power system dynamic configuration method based on digital twin technology is characterized in that: In the step 3), the configuration demand assessment model of the new energy power system of the assessment subsystem is as follows: Ω=f(LOLP E )+f(EENS E )+f(β car )+f(η re )+f(C inv )+f(C ope ) Among them, Ω represents the comprehensive evaluation value of configuration requirements, f() represents the normalization processing formula, LOLP E Represents the probability of power loss in the renewable energy power system; EENS E represents the expected value of power shortage of the new energy power system; β car represents the carbon emissions of the new energy power system, η re represents the renewable energy consumption rate of the new energy power system, C inv Represents the construction measurement value of the new energy power system, C ope Indicates the operating measurement value of the new energy power system; The normalization processing formula is as follows: Among them, y represents the indicator to be processed of the normalized processing formula f(), and the indicator to be processed includes positive indicators and reverse indicators. When y is a positive indicator, the positive indicator y includes the renewable energy consumption rate η of the new energy power system re , the larger the value of the positive index y, the higher the comprehensive evaluation value of the configuration demand Ω; when y is a reverse index, the reverse index y includes the power load loss probability LOLP of the new energy power system E EENS E , carbon emissions β car , Construction measurement value C inv and running measurement value C ope , the smaller the value of the reverse index y, the higher the comprehensive evaluation value of the configuration demand Ω.

5. According to claim 4, a new energy power system dynamic configuration method based on digital twin technology is characterized in that: The power loss probability LOLP of the new energy power system E EENS E , carbon emissions β car and renewable energy consumption rate η re , as follows: Wherein, T represents the time period between the current moment and the initial moment of operation of the new energy power system or the moment of the last repetition of step 2); the T period is divided into several periods, and Ξs represents the set of each period divided by the T period; p s represents the probability of time period s within time period T, p s =s / T; Indicates the power loss amount of the new energy power system in the time period s; is a binary number, when hour, otherwise represents the carbon emission factor of the i-th renewable energy generator or non-renewable energy generator in the energy power system, Q i represents the power generation of the i-th renewable energy generator or non-renewable energy generator in the energy power system; N represents the total number of renewable energy generators and non-renewable energy generators in the power station; Q e Represents the total amount of electricity transmitted by the new energy power system, Q H represents the total power generation of each non-renewable energy generator in the renewable energy power system, Q re Represents the total power generation of each renewable energy generator in the renewable energy power system; t represents the net present value of the new energy power system at time t; ψ (·) Represents the residual value rate of the equipment to be built in the new energy power system; C (·) Indicates the construction measurement value of the equipment to be built in the new energy power system; (·),t and z (·),t-1 They represent the status of the equipment to be built in the new energy power system at time t and time t-1 respectively. If the status of the equipment to be built is 1, it is 0 if it is not. i,t Indicates the state of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system at time t, which is 1 if it exists and 0 if it does not exist; C gen Represents the unit capacity fuel metering value of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system; P i,t represents the output power of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system at time t; The operation data of the new energy power system obtained in step 3) at this time includes the power loss load of the new energy power system in the time period s The power generation Q of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system i 、Total power transmission of new energy power system Q e , the total power generation of each non-renewable energy generator in the new energy power system Q H And the total power generation Q of each new energy generator in the new energy power system re .

6. According to a method for dynamic configuration of a new energy power system based on digital twin technology according to claim 2, it is characterized by: In the step 4), the dynamic configuration model of the new energy power system of the configuration subsystem of the digital twin system is specifically the objective function of the new energy power system under the condition of considering the constraints of the new energy power system. The objective function of the new energy power system is specifically as follows: in, It represents the removal measurement value of the unit load shedding of the new energy power system at time t; EENS t represents the expected load shedding of the renewable energy power system at time t; The several operating data of the new energy power system obtained in step 4) at this time include the unit capacity fuel metering value C of the i-th new energy generator or non-new energy generator in the new energy power system gen And the removal measurement value of the unit load shedding of the new energy power system at time t The construction data of the new energy power system at this time output by the dynamic configuration model of the new energy power system includes the state z of the equipment to be built in the new energy power system at time t (·),t , the output power P of the i-th renewable energy generator or non-renewable energy generator in the renewable energy power system at time t i,t And the expected load shedding EENS of the new energy power system at time t t .

7. The method for dynamic configuration of a new energy power system based on digital twin technology according to claim 6 is characterized in that: The constraints of the new energy power system are as follows: With (·),t-1 ≤of (·),t AT SOMETIME t ≤ONCE set Among them, EENS set Indicates the expected value of the preset power supply shortage of the new energy power system; M r represents the constant term of the new energy power system; z r,t represents the state of the rth transmission line in the renewable energy power system at time t, which is 1 if it exists and 0 if it does not exist; the rth transmission line in the renewable energy power system is located between the uth node and the vth node in the renewable energy power system, P uv,t represents the active power transmitted from the uth node to the vth node on the rth transmission line in the renewable energy power system at time t, P vu,t represents the active power transmitted from the vth node to the uth node on the rth transmission line in the renewable energy power system at time t; θ u,t represents the power angle of the u-th node in the renewable energy power system at time t, θ v,t represents the power angle of the vth node in the renewable energy power system at time t; w r represents the reactance of the rth transmission line in the power network; each new energy generator, non-new energy generator and energy storage device in the new energy power system constitutes a first device set, and the first device set includes a plurality of first devices, P g,t represents the output power of the g-th first device in the new energy power system at time t; and represent the minimum output power and maximum output power of the g-th first device in the new energy power system respectively; g,t Indicates the status of the g-th first device in the new energy power system, which is 1 if it exists and 0 if it does not exist; ur Represents the element in the uth row and rth column of the association matrix composed of each node and each transmission line in the new energy power system, G ug represents the element in the uth row and gth column of the association matrix formed by each node and each first device in the new energy power system, W ue Represents the element in the uth row and the εth column of the association matrix composed of each node and each electric load device in the new energy power system, represents the active power demand of the εth electric load device in the renewable energy power system at time t; The several operating data of the new energy power system obtained in step 4) at this time also include the expected value EENS of the preset power shortage of the new energy power system set And the active power demand of the εth electric load device in the new energy power system at time t The construction data of the new energy power system at this time output by the dynamic configuration model of the new energy power system also includes the active power P transmitted from the uth node to the vth node on the rth transmission line in the new energy power system at time t uv,t , the active power P transmitted from the vth node to the uth node on the rth transmission line in the new energy power system at time t vu,t And the output power P of the g-th first device in the new energy power system at time t g,t ; The device model library of the current device model subsystem is adjusted according to the construction data. Specifically, the device model of the equipment to be built that is in the existing state is added to the device model library of the device model subsystem according to the construction data, and the output power of each new energy generator or non-new energy generator in the new energy power system, the expected load shedding amount of the new energy power system, the active power transmitted on each transmission line in the new energy power system, and the output power of each first device in the new energy power system are adjusted according to the output construction data.

8. The method for dynamic configuration of a new energy power system based on digital twin technology according to claim 7 is characterized in that: In the step 5), the final construction data of the new energy power system is obtained after repeating steps 4)-5), that is, the construction data of the current device model library, and the current device model library is placed in the project library of the configuration subsystem; In the step 6), the new energy power system is reconfigured according to the current equipment model library put into the project library in step 5), that is, the construction of the new energy power system is adjusted according to the final construction data to realize the dynamic configuration of the new energy power system.

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