Wind-solar-thermal storage operation scheduling optimization method, device, equipment, medium and product

Abstract

The invention discloses a wind, light and fire storage operation scheduling optimization method, device and equipment, a medium and a product, and relates to the field of comprehensive energy optimization, and the method comprises the steps: constructing an operation model and an operation scheduling optimization model of a to-be-adjusted wind, light and fire storage system; according to the value of the judgment parameter, determining the adjustment requirement of the fire and energy storage combined output at the current moment, and based on the adjustment requirement and a preset priority adjustment mode, determining an operation constraint for limiting the adjustment priority of the thermal power element and the energy storage element; solving the mixed integer model to obtain an operation scheduling scheme of the wind-solar-thermal storage system to be adjusted; the mixed integer model comprises an operation constraint and an operation model and an operation scheduling optimization model of the to-be-adjusted wind-light-fire storage system, the cleanliness and reliability of the wind-light-fire storage system can be considered, the stability of an electric power system is ensured, meanwhile, consumption of traditional energy such as fire coal is reduced, carbon emission is reduced, and the service life of the wind-light-fire storage system is prolonged. And the comprehensive utilization maximization of energy is realized.

Description

Technical Field

[0001] The present application relates to the field of integrated energy optimization, and in particular to a method, device, equipment, medium and product for optimizing the operation and scheduling of wind, solar, thermal and energy storage systems. Background Art

[0002] The intermittent and unstable nature of solar and wind energy resources poses significant challenges to the large-scale integration and integration of renewable energy into the grid. Thermal power offers strong regulation capabilities and can quickly respond to load fluctuations, but it relies on fossil fuels and its carbon emissions have a significant environmental impact. Energy storage systems can effectively mitigate the volatility of wind and solar power generation, store excess power, and help balance power supply. However, energy storage technology still faces challenges such as longevity and technical maturity.

[0003] Therefore, the operation and scheduling of wind, solar, thermal power and energy storage systems is very important. At present, some have carried out joint optimization of wind, solar and storage systems, and some have invented joint optimization of wind, thermal and storage systems. However, the above operation and scheduling optimization methods cannot take into account the cleanliness and reliability of wind, solar and thermal storage systems, and cannot reduce the consumption of traditional energy such as coal and reduce carbon emissions while ensuring the stability of the power system, and maximize the comprehensive utilization of energy. Summary of the Invention

[0004] The purpose of this application is to provide a method, device, equipment, medium and product for optimizing the operation and scheduling of wind, solar, thermal and storage systems, which can take into account the cleanliness and reliability of wind, solar, thermal and storage systems, while ensuring the stability of the power system, reducing the consumption of traditional energy such as coal, reducing carbon emissions, and maximizing the comprehensive utilization of energy.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a method for optimizing wind, solar, thermal and energy storage operation scheduling, comprising:

[0007] Construct the operation model and operation scheduling optimization model of the wind, solar, thermal and storage system to be regulated;

[0008] Get the value of the judgment parameter;

[0009] Determining the adjustment requirement for the combined thermal and energy storage output at the current moment based on the value of the judgment parameter, and determining an operating constraint for limiting the adjustment priority of thermal power elements and energy storage elements based on the adjustment requirement and a preset priority adjustment mode; the preset priority adjustment mode is to prioritize adjustment of energy storage elements or to prioritize adjustment of thermal power elements; and the adjustment requirement is to determine whether downward adjustment is required or upward adjustment is required;

[0010] Solving the mixed integer model obtains the operation scheduling scheme of the wind-solar-thermal-storage system to be adjusted; the mixed integer model comprises operation constraints and an operation model and an operation scheduling optimization model of the wind-solar-thermal-storage system to be adjusted.

[0011] In an embodiment, the operation model of the wind-solar-thermal-storage system to be adjusted comprises a photovoltaic element output model and a wind power element output power model.

[0012] In an embodiment, the operation scheduling optimization model of the wind-solar-thermal-storage system to be adjusted specifically comprises:

[0013] a constraint condition and a total objective function constructed with the minimum deviation of wind-solar-thermal-storage outgoing power and load power at a receiving end, the maximum carbon emission of thermal power units, and the maximum wind-solar on-grid power as targets;

[0014] The constraint condition comprises a system power balance constraint, a power transmission channel constraint, a wind-solar-thermal power constraint, a peak regulation constraint of thermal power units, and a climbing power constraint of thermal power units.

[0015] In an embodiment, the adjustment requirement of the combined output of the thermal storage at the current time is determined according to the value of the judgment parameter, and the operation constraint for limiting the adjustment priority of the thermal power element and the energy storage element is determined based on the adjustment requirement and a preset priority adjustment mode, specifically:

[0016] the adjustment requirement of the combined output of the thermal storage at the current time is determined according to the value of the judgment parameter;

[0017] if the adjustment requirement is to be adjusted downward, and the preset priority adjustment mode is to adjust the energy storage element first, the operation constraint for limiting the adjustment priority of the thermal power element and the energy storage element is determined to be

[0018]

[0019] if the adjustment requirement is to be adjusted downward, and the preset priority adjustment mode is to adjust the thermal power element first, the operation constraint for limiting the adjustment priority of the thermal power element and the energy storage element is determined to be

[0020]

[0021] if the adjustment requirement is to be adjusted upward, and the preset priority adjustment mode is to adjust the energy storage element first, the operation constraint for limiting the adjustment priority of the thermal power element and the energy storage element is determined to be

[0022]

[0023] If the regulation requirement is to increase the regulation, and the preset priority regulation mode is to prioritize the regulation of thermal power components, then the operation constraint for limiting the regulation priority of thermal power components and energy storage components is determined to be

[0024]

[0025] Among them, P c,t represents the charging output of the energy storage element at time t in the wind-solar-thermal storage system to be adjusted, P c,t-1 represents the charging output of the energy storage element at time t-1 in the wind-solar-thermal storage system to be adjusted, P d,t represents the discharge output of the energy storage element at time t in the wind-solar-thermal storage system to be regulated, P d,t-1 represents the discharge output of the energy storage element in the wind-solar-thermal storage system to be adjusted at time t-1, Pchmax represents the upper limit of the charging output of the energy storage element in the wind-solar-thermal storage system to be adjusted, and P th,t represents the output of thermal power components at time t in the wind-solar-thermal storage system to be regulated, P th,t-1 represents the output of thermal power element at time t-1 in the wind-solar-thermal storage system to be regulated, a represents the weight of the carbon emission objective function, b represents the weight of the renewable energy grid power objective function, P th,min Pdismax represents the lower limit of the thermal power output of the wind, solar, thermal and storage system to be adjusted, Pdismax represents the lower limit of the discharge output of the energy storage element in the wind, solar, thermal and storage system to be adjusted, th,max It represents the upper limit of thermal power element output in the wind-solar-thermal-storage system to be regulated, and || represents the absolute value.

[0026] In one embodiment, the judgment parameters include the current on-grid output of the wind power element in the wind-solar-thermal-storage system to be adjusted, the current on-grid output of the photovoltaic element, the current external power output of the wind-solar-thermal-storage system to be adjusted, the output of the thermal power element at the previous moment, the discharge output of the energy storage element at the previous moment, and the charging output of the energy storage element at the previous moment. The adjustment requirements of the thermal-storage combined output at the current moment are determined according to the values ​​of the judgment parameters, specifically:

[0027] Determine whether the value of the judgment parameter satisfies the formula P w,t +P pv,t +P th,t-1 +η d P d,t-1 -η c P c,t-1 >P l,t If it is satisfied, it is determined that the regulation requirement of the combined output of thermal storage at the current moment needs to be lowered; if it is not satisfied, it is determined that the regulation requirement of the combined output of thermal storage at the current moment needs to be raised, where P w,t represents the grid-connected output of wind power components in the wind-solar-thermal-storage system to be adjusted at time t, P pv,t represents the grid-connected output of the photovoltaic elements in the wind-solar-thermal-storage system to be adjusted at time t, ηd represents the discharge efficiency of the energy storage element in the wind-solar-thermal storage system to be regulated, η c represents the charging efficiency of the energy storage element in the wind-solar-thermal storage system to be regulated, P l,t Indicates the power delivered by the wind, solar, thermal and energy storage system to be adjusted at time t.

[0028] In one embodiment, the overall objective function is:

[0029] Among them, C l_total represents the total objective function, a represents the weight of the carbon emission objective function, C emission represents the carbon emissions of thermal power units, b represents the weight of the objective function of renewable energy grid power, T represents the operating cycle, P w,t represents the grid-connected output of wind power components in the wind-solar-thermal-storage system to be adjusted at time t, P pv,t represents the grid-connected output of the photovoltaic element in the wind-solar-thermal storage system to be adjusted at time t, c represents the weight of the objective function of the deviation between the external power and the receiving load, P l,t represents the output power of the wind-solar-thermal storage system to be adjusted at time t, P load,t It represents the load power at the receiving end of the wind-solar-thermal-storage system to be adjusted at time t, min() represents the minimum value, and || represents the absolute value.

[0030] In a second aspect, the present application provides a wind, solar, thermal and storage operation scheduling optimization device, comprising:

[0031] A construction module is used to construct an operation model and an operation scheduling optimization model for the wind, solar, thermal and storage system to be regulated;

[0032] The acquisition module is used to obtain the value of the judgment parameter;

[0033] a judgment module, configured to determine a current adjustment requirement for the combined thermal-storage output based on a value of a judgment parameter, and determine an operating constraint for limiting the adjustment priority of thermal power elements and energy storage elements based on the adjustment requirement and a preset priority adjustment mode; the preset priority adjustment mode is to prioritize adjustment of energy storage elements or to prioritize adjustment of thermal power elements; and the adjustment requirement is to determine whether downward adjustment is required or upward adjustment is required;

[0034] The scheduling scheme optimization module is used to solve the mixed integer model to obtain the operation scheduling scheme of the wind, solar, thermal and storage system to be regulated; the mixed integer model includes operation constraints and the operation model and operation scheduling optimization model of the wind, solar, thermal and storage system to be regulated.

[0035] In a third aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the above-mentioned methods for optimizing wind, solar, thermal and storage operation scheduling.

[0036] In a fourth aspect, the present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, it implements the wind, solar, thermal and storage operation scheduling optimization method described in any one of the above items.

[0037] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned wind, solar, thermal and storage operation scheduling optimization methods.

[0038] According to the specific embodiments provided in this application, this application has the following technical effects:

[0039] This application provides a method, device, equipment, medium, and product for optimizing the operation and scheduling of wind, solar, thermal, and energy storage. In optimizing the configuration of wind, solar, thermal, and energy storage capacity, the focus is primarily on improving the system's regulation capabilities. Some related technologies consider the deep peak-shaving capabilities of thermal power to help absorb new energy and reduce wind and solar curtailment rates. Other related technologies study load fluctuations and consider the impact of transferable and interruptible loads on system operation. All of these explore the system's regulation capabilities to achieve supply and demand balance. It can be seen that most inventions have a single research direction, focusing solely on system regulation capabilities without considering other perspectives such as cleanliness and reliability. This poses challenges to the cleanliness and reliability of such configuration methods. This application selects corresponding operational constraints based on preset priority regulation methods under different regulation requirements, limits the regulation priorities of thermal power and energy storage, and provides a scheduling method that balances cleanliness and reliability. This method optimizes the combined scheduling of wind, solar, thermal, and energy storage, ensuring the stability of the power system while reducing the consumption of traditional energy sources such as coal, reducing carbon emissions, and maximizing the comprehensive utilization of energy. For large-scale new energy bases, especially the Shagohuang base, the combined optimization of wind, solar, thermal, and energy storage will become an important development trend in the future. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0041] Figure 1 A flow chart of a method for optimizing wind, solar, thermal and energy storage operation scheduling provided in one embodiment of the present application;

[0042] Figure 2 a flow chart for scenario division;

[0043] Figure 3 a result graph for base scenario optimization;

[0044] Figure 4 a result graph for fire storage scheduling scenario 1 optimization;

[0045] Figure 5 a result graph for fire storage scheduling scenario 2 optimization;

[0046] Figure 6 a result graph for fire storage scheduling scenario 3 optimization;

[0047] Figure 7 a result graph for fire storage scheduling scenario 4 optimization;

[0048] Figure 8 a structure block diagram of a wind-solar-fire storage operation scheduling optimization apparatus provided by an embodiment of the present application;

[0049] Figure 9 a structure schematic diagram of a computer device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0051] In order to make the above purposes, features and advantages of the present application more obvious and understandable, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0052] In an exemplary embodiment, a wind-solar-fire storage operation scheduling optimization method is provided, as shown in the following steps 201 to 204. Wherein: Figure 1

[0053] Step 201: constructing an operation model and an operation scheduling optimization model of a wind-solar-fire storage system to be adjusted.

[0054] Step 202: obtaining values of judgment parameters.

[0055] ​Step 203: Determine the regulation requirement for the combined thermal and energy storage output at the current moment based on the value of the judgment parameter, and determine the operating constraints for limiting the regulation priority of the thermal power elements and the energy storage elements based on the regulation requirement and the preset priority regulation method; the preset priority regulation method is to prioritize regulation of the energy storage elements or to prioritize regulation of the thermal power elements; the regulation requirement is to require downward regulation or upward regulation.

[0056] Step 204: Solve the mixed integer model to obtain the operation scheduling scheme of the wind, solar, thermal and storage system to be adjusted; the mixed integer model includes the operation constraints and the operation model and operation scheduling optimization model of the wind, solar, thermal and storage system to be adjusted. The scheduling scheme is: wind power grid output P w,t , Photovoltaic grid-connected output P pv,t Thermal power output P th,t , energy storage output P c,t and P d,t , and the wind-solar-thermal storage system transmission power P l,t .

[0057] In another exemplary embodiment of the present application, the operation model of the wind-solar-thermal storage system to be adjusted includes: a photovoltaic element output model and a wind power element output power model.

[0058] In practical applications, the photovoltaic component output model is specifically a photovoltaic power station output model, including:

[0059] Operating temperature model of photovoltaic elements:

[0060]

[0061] Photovoltaic components include multiple photovoltaic panels. The actual photovoltaic panel efficiency model is:

[0062] U L =5.7+3.8V wind

[0063] η PV =η PV,NOM [1+γ(T C -T C,REF )]

[0064] Photovoltaic panel output power model:

[0065] P PV =n MOD ×A MOD ×GI×η PV ×η INV ×f PV

[0066] Where, T C is the actual operating temperature of the photovoltaic element, T Ais the ambient temperature, T NOCT is the nominal operating temperature of the photovoltaic element, G1 is the global irradiance of the photovoltaic element, G1 NOCT is the standard global irradiance, U L,NOCT , U L are the heat transfer coefficients under the nominal operating condition and the actual operating condition of the photovoltaic element respectively, τ is the transmittance of the photovoltaic element, α is the absorptivity of the photovoltaic element, η PV is the actual photovoltaic panel efficiency, V wind represents the wind speed of the environment in which the photovoltaic element is located, η PV,NOM represents the photothermal conversion efficiency of the photovoltaic element, γ is the temperature coefficient of the photovoltaic element, T C,REF is the operating cell temperature of the photovoltaic element under the reference condition, P PV represents the output power of the photovoltaic panel, n MOD is the number of photovoltaic panels, A MOD is the effective area of each photovoltaic panel, η INV is the inverter efficiency, f PV is the derating factor.

[0067] The wind power element output power model is specifically a wind turbine output power model, which is in the form of:

[0068]

[0069] In the formula, P wt represents the output power of the wind turbine, P wt,R is the rated power of the wind turbine, v in , v rate , v out are the incoming wind speed, the rated wind speed and the outgoing wind speed of the wind turbine respectively, v represents the actual wind speed of the wind turbine, a0, a1, a2, a3 and a4 represent the constant term coefficient, the first-order term coefficient, the second-order term coefficient, the third-order term coefficient and the fourth-order term coefficient of the four-order function in the wind turbine output power piecewise function respectively.

[0070] In another exemplary embodiment of the present application, the operation scheduling optimization model of the wind-solar-thermal-storage system to be adjusted specifically comprises:

[0071] a constraint condition and a total objective function constructed with the minimum deviation of the wind-solar-thermal-storage power delivered and the load power at the receiving end, the maximum carbon emission of the thermal power unit and the maximum wind-solar power.

[0072] The constraint condition comprises a system power balance constraint, a power delivery channel constraint, a wind-solar-thermal power constraint, a peak regulation constraint of the thermal power unit and a climbing power constraint of the thermal power unit.

[0073] In another exemplary embodiment of the present application, the total objective function is:

[0074]

[0075] Among them, C l_total represents the total objective function, a represents the weight of the carbon emission objective function, C emission represents the carbon emissions of thermal power units, b represents the weight of the objective function of renewable energy grid power, T represents the operating cycle, P w,t represents the grid-connected output of wind power components in the wind-solar-thermal-storage system to be adjusted at time t, P pv,t represents the grid-connected output of the photovoltaic element in the wind-solar-thermal storage system to be adjusted at time t, c represents the weight of the objective function of the deviation between the external power and the receiving load, P l,t represents the output power of the wind-solar-thermal storage system to be adjusted at time t, P load,t It represents the load power at the receiving end of the wind-solar-thermal-storage system to be adjusted at time t, min() represents the minimum value, and || represents the absolute value.

[0076] In another exemplary embodiment of the present application, the system power balance constraint is:

[0077] P w,t +P pv,t +P th,t +η d P d,t -μ c P c,t =P l,t

[0078] Where, P l,t is the output power of the wind-solar-thermal storage system to be adjusted at time t, P th,t represents the output of thermal power components at time t in the wind-solar-thermal storage system to be regulated, P d,t represents the discharge output of the energy storage element at time t in the wind-solar-thermal storage system to be regulated, P c,t represents the charging output of the energy storage element at time t in the wind-solar-thermal storage system to be adjusted, η d represents the discharge efficiency of the energy storage element in the wind-solar-thermal storage system to be regulated, η c Indicates the charging efficiency of the energy storage elements in the wind, solar, thermal and storage system to be regulated.

[0079] The power transmission power constraint is:

[0080]

[0081] Where, P lmax represents the upper limit of the external power transmission of the wind, solar, thermal and storage system, η l is the minimum utilization rate of the wind-solar-thermal storage system transmission channel, γ l P is the rate of change of the power transmitted from the system; l,t-1 is the power delivered at time t-1.

[0082] The wind, solar and thermal power constraints are:

[0083]

[0084] Where, P wrt 、 are the power that can be generated by wind power components and photovoltaic components at time t; P th,max and P th,min They are the upper and lower limits of thermal power element output respectively.

[0085] The peak load constraints of thermal power units are:

[0086] μP th,max ≤P th,t ≤P th,max

[0087] Wherein, μ represents the coefficient of the lower limit of the peak output of thermal power units.

[0088] The ramp power constraint of the thermal power unit is:

[0089] -P P,max ≤P th,t -P th,t-1 ≤P p,max

[0090] Where, P p,max It is the maximum climbing power limit.

[0091] In two different scenarios where the combined output of thermal power and energy storage needs to be adjusted downward or upward, there are two options: prioritizing energy storage and prioritizing thermal power. This results in four different combinations of scheduling scenarios, and different combinations are selected as operating constraints. Therefore, in another exemplary embodiment of the present application, the adjustment requirements of the combined output of thermal power and energy storage at the current moment are determined according to the value of the judgment parameter, and the operating constraints for limiting the adjustment priority of thermal power components and energy storage components are determined based on the adjustment requirements and the preset priority adjustment method, such as Figure 2 As shown, specifically:

[0092] Determine the regulation requirements of the combined thermal and storage output at the current moment according to the value of the judgment parameter;

[0093] If the regulation requirement is to adjust downward, and the preset priority regulation mode is to prioritize the regulation of energy storage elements, the operating constraints for limiting the regulation priorities of thermal power elements and energy storage elements are determined as follows:

[0094]

[0095] If the regulation requirement is to adjust downward, and the preset priority regulation mode is to prioritize the regulation of thermal power components, the operating constraints for limiting the regulation priorities of thermal power components and energy storage components are determined as follows:

[0096]

[0097] If the regulation requirement is to increase the regulation, and the preset priority regulation mode is to prioritize the regulation of the energy storage element, the operating constraint for limiting the regulation priority of the thermal power element and the energy storage element is determined to be:

[0098]

[0099] If the regulation requirement is to increase the regulation, and the preset priority regulation mode is to prioritize the regulation of thermal power components, the operating constraints for limiting the regulation priorities of thermal power components and energy storage components are determined as follows:

[0100]

[0101] Among them, P c,t represents the charging output of the energy storage element at time t in the wind-solar-thermal storage system to be adjusted, P c,t-1 represents the charging output of the energy storage element at time t-1 in the wind-solar-thermal storage system to be adjusted, P d,t represents the discharge output of the energy storage element at time t in the wind-solar-thermal storage system to be regulated, P d,t-1 represents the discharge output of the energy storage element in the wind-solar-thermal storage system to be adjusted at time t-1, Pchmax represents the upper limit of the charging output of the energy storage element in the wind-solar-thermal storage system to be adjusted, and P th,t represents the output of thermal power components at time t in the wind-solar-thermal storage system to be regulated, P th,t-1 represents the output of thermal power element at time t-1 in the wind-solar-thermal storage system to be regulated, a represents the weight of the carbon emission objective function, b represents the weight of the renewable energy grid power objective function, P th,min Pdismax represents the lower limit of the thermal power output of the wind, solar, thermal and storage system to be adjusted, Pdismax represents the lower limit of the discharge output of the energy storage element in the wind, solar, thermal and storage system to be adjusted, th,max It represents the upper limit of thermal power element output in the wind-solar-thermal-storage system to be regulated, and || represents the absolute value.

[0102] In another exemplary embodiment of the present application, the judgment parameters include the current online output of the wind power element in the wind-solar-thermal-storage system to be adjusted, the current online output of the photovoltaic element, the current external power, the output of the thermal power element at the previous moment, the discharge output of the energy storage element at the previous moment, and the charging output of the energy storage element at the previous moment. The adjustment requirements of the thermal-storage combined output at the current moment are determined according to the values ​​of the judgment parameters, specifically:

[0103] Determine whether the value of the judgment parameter satisfies the formula Pw,t +P pv,t +P th,t-1 +η d P d,t-1 -η c P c,t-1 >P l,t If it is satisfied, it is determined that the regulation requirement of the combined output of thermal storage at the current moment needs to be lowered; if it is not satisfied, it is determined that the regulation requirement of the combined output of thermal storage at the current moment needs to be raised, where P w,t represents the grid-connected output of wind power components in the wind-solar-thermal-storage system to be adjusted at time t, P pv,t represents the grid-connected output of the photovoltaic elements in the wind-solar-thermal-storage system to be adjusted at time t, η d represents the discharge efficiency of the energy storage element in the wind-solar-thermal storage system to be regulated, η c represents the charging efficiency of the energy storage element in the wind-solar-thermal storage system to be regulated, P l,t Indicates the power delivered by the wind, solar, thermal and energy storage system to be adjusted at time t.

[0104] In another exemplary embodiment of the present application, the mixed integer model is solved to obtain the operation scheduling plan of the wind, solar, thermal and storage system to be regulated, specifically: the mixed integer model is solved using the bmibnb solver of the yalmip toolbox in the matlb simulation platform to obtain the optimization result.

[0105] In another exemplary embodiment of the present application, three evaluation indicators are first introduced: wind and solar power curtailment rate, energy supply and receiving end load deviation rate, and clean energy proportion.

[0106] Wind and solar curtailment rate k w,pv The calculation method is as follows:

[0107]

[0108] Energy supply and receiving end load deviation rate E w,pv The calculation method is as follows:

[0109]

[0110] Clean energy share clean The calculation method is as follows:

[0111]

[0112] Secondly, set the main technical parameters of the initial system as shown in Table 1:

[0113] Table 1 Main technical parameters of the initial system

[0114]

[0115]

[0116] After the parameter setting is completed, the configuration optimization is performed according to the above steps. The thermal storage scheduling order 1 is to prioritize energy storage when the thermal storage needs to be lowered, and prioritize energy storage when it needs to be increased; the thermal storage scheduling order 2 is to prioritize thermal power when the thermal storage needs to be lowered, and prioritize energy storage when it needs to be increased; the thermal storage scheduling order 3 is to prioritize energy storage when the thermal storage needs to be lowered, and prioritize thermal power when it needs to be increased; the thermal storage scheduling order 4 is to prioritize thermal power when the thermal storage needs to be lowered, and prioritize thermal power when it needs to be increased. The operation results of the base state scenario and different thermal storage joint scheduling scenarios are as follows Figures 3 to 7 Table 2 shows the evaluation indicators of the operation results under five scenarios. According to Table 2, when the combined thermal power and energy storage needs to be adjusted downward, energy storage is prioritized, and when it needs to be adjusted upward, thermal power is prioritized. This has the best comprehensive performance among the three indicators and is considered the optimal scheduling order. Therefore, in the case shown in Table 1, when the adjustment requirement is to adjust downward, the preset priority adjustment method is to prioritize the energy storage component, and when the adjustment requirement is to adjust upward, the preset priority adjustment method is to prioritize the thermal power component.

[0117] Table 2 Comparison of evaluation indicators

[0118] Evaluation indicators Wind and solar curtailment rate Energy supply imbalance rate Proportion of clean energy Base state scenario 10.05％ 29.94％ 29.46％ Fire storage scheduling scenario 1 15.40％ 29.80％ 20.65％ Fire storage scheduling scenario 2 13.88％ 42.34％ 24.38％ Fire storage scheduling scenario 3 9.31％ 23.52％ 24.23％ Fire storage scheduling scenario 4 10.30％ 34.53％ 26.97％

[0119] This application makes up for the fact that most current systems overemphasize the peak-shaving capability of thermal power and ignore energy storage regulation, which reduces the cleanliness of the system. When conducting joint optimization scheduling of wind, solar, thermal and storage, the regulation priority of thermal power and energy storage is restricted under different operating scenarios, and selected in combination with the operating scenarios, mainly relying on the regulation capability of energy storage, thereby reducing the possibility of thermal power entering deep peak-shaving operation, reducing unnecessary thermal power peak-shaving processes, alleviating the climbing rate limitation imposed by thermal power regulation, and improving the cleanliness of the system; at the same time, when thermal power is the main regulating power source, its own climbing capability has certain limitations on the regulation rate, while using energy storage as the main regulating power source can achieve fast and efficient response, improve the output power's ability to track changes in the receiving end load, and design evaluation indicators based on cleanliness and reliability, and provide a scheduling method that takes into account both cleanliness and reliability, forming a wind, solar, thermal and storage operation scheduling optimization method that takes into account both cleanliness and reliability for large new energy bases, providing a reference solution for improving system operation efficiency and promoting the construction of a new power system.

[0120] Based on the same inventive concept, the present application also provides a wind, solar, thermal, and storage operation scheduling optimization device for implementing the aforementioned wind, solar, thermal, and storage operation scheduling optimization method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the wind, solar, thermal, and storage operation scheduling optimization device provided below can be found in the above-mentioned limitations of the wind, solar, thermal, and storage operation scheduling optimization method, and will not be repeated here.

[0121] In an exemplary embodiment, Figure 8 As shown, a wind, solar, thermal and storage operation scheduling optimization device is provided, including:

[0122] Construction module A1 is used to construct the operation model and operation scheduling optimization model of the wind, solar, thermal and storage system to be regulated.

[0123] The acquisition module A2 is used to obtain the value of the judgment parameter.

[0124] Judgment module A3 is used to determine the regulation requirements of the combined thermal and energy storage output at the current moment based on the value of the judgment parameter, and determine the operating constraints used to limit the regulation priority of thermal power elements and energy storage elements based on the regulation requirements and the preset priority regulation method; the preset priority regulation method is to prioritize the regulation of energy storage elements or the regulation of thermal power elements; the regulation requirement is the need for downward regulation or the need for upward regulation.

[0125] The scheduling scheme optimization module A4 is used to solve the mixed integer model to obtain the operation scheduling scheme of the wind, solar, thermal and storage system to be regulated; the mixed integer model includes operation constraints and the operation model and operation scheduling optimization model of the wind, solar, thermal and storage system to be regulated.

[0126] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 9 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store wind, solar, thermal and storage operation scheduling optimization data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a wind, solar, thermal and storage operation scheduling optimization method is implemented.

[0127] Those skilled in the art will understand that Figure 9The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present application and does not constitute a limitation on the computer device to which the solution of the present application is applied. A specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement. In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the above-mentioned method embodiments when executing the computer program.

[0128] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, which implements the above-mentioned method embodiments when executed by a processor.

[0129] In an exemplary embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the above method embodiments are implemented.

[0130] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0131] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0132] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0133] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0134] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for optimizing wind, solar, thermal and energy storage operation scheduling, characterized in that: The wind, solar, thermal and energy storage operation scheduling optimization method includes: Construct the operation model and operation scheduling optimization model of the wind, solar, thermal and storage system to be regulated; Get the value of the judgment parameter; Determining the adjustment requirement for the combined thermal and energy storage output at the current moment based on the value of the judgment parameter, and determining an operating constraint for limiting the adjustment priority of thermal power elements and energy storage elements based on the adjustment requirement and a preset priority adjustment mode; the preset priority adjustment mode is to prioritize adjustment of energy storage elements or to prioritize adjustment of thermal power elements; and the adjustment requirement is to determine whether downward adjustment is required or upward adjustment is required; The mixed integer model is solved to obtain the operation scheduling plan of the wind, solar, thermal and storage system to be regulated; the mixed integer model includes operation constraints and the operation model and operation scheduling optimization model of the wind, solar, thermal and storage system to be regulated.

2. The wind, solar, thermal and energy storage operation scheduling optimization method according to claim 1 is characterized in that: The operation model of the wind-solar-thermal-storage system to be adjusted includes: a photovoltaic element output model and a wind power element output power model.

3. The wind, solar, thermal and energy storage operation scheduling optimization method according to claim 1 is characterized in that: The operation and dispatch optimization model of the wind, solar, thermal and storage system to be regulated specifically includes: Constraints and an overall objective function constructed with the goal of minimizing the deviation between wind, solar, thermal and storage transmission power and receiving load power, carbon emissions from thermal power units, and maximizing wind and solar grid-connected power; The constraints include: system power balance constraints, power transmission channel constraints, wind, solar and thermal power constraints, peak load constraints of thermal power units and ramp power constraints of thermal power units.

4. The wind, solar, thermal and energy storage operation scheduling optimization method according to claim 1 is characterized in that: The regulation requirement for the combined thermal and energy storage output at the current moment is determined based on the value of the judgment parameter, and the operating constraints for limiting the regulation priority of the thermal power elements and the energy storage elements are determined based on the regulation requirement and the preset priority regulation mode, specifically: Determine the regulation requirements of the combined thermal and storage output at the current moment according to the value of the judgment parameter; If the adjustment requirement is to adjust downward, and the preset priority adjustment mode is to adjust the energy storage element first, then the operation constraint for limiting the adjustment priority of the thermal power element and the energy storage element is determined to be If the regulation requirement is to adjust downward, and the preset priority regulation mode is to prioritize the regulation of thermal power components, then the operation constraint for limiting the regulation priority of thermal power components and energy storage components is determined to be If the adjustment requirement is to increase the adjustment, and the preset priority adjustment mode is to prioritize the adjustment of the energy storage element, the operation constraint for limiting the adjustment priority of the thermal power element and the energy storage element is determined to be If the regulation requirement is to increase the regulation, and the preset priority regulation mode is to prioritize the regulation of thermal power components, then the operation constraint for limiting the regulation priority of thermal power components and energy storage components is determined to be Among them, P c,t represents the charging output of the energy storage element at time t in the wind-solar-thermal storage system to be adjusted, P c,t-1 represents the charging output of the energy storage element at time t-1 in the wind-solar-thermal storage system to be adjusted, P d,t represents the discharge output of the energy storage element at time t in the wind-solar-thermal storage system to be regulated, P d,t-1 represents the discharge output of the energy storage element in the wind-solar-thermal storage system to be adjusted at time t-1, Pchmax represents the upper limit of the charging output of the energy storage element in the wind-solar-thermal storage system to be adjusted, and P th,t represents the output of thermal power components at time t in the wind-solar-thermal storage system to be regulated, P th,t-1 represents the output of thermal power element at time t-1 in the wind-solar-thermal storage system to be regulated, a represents the weight of the carbon emission objective function, b represents the weight of the renewable energy grid power objective function, P th,min Pdismax represents the lower limit of the thermal power output of the wind, solar, thermal and storage system to be adjusted, Pdismax represents the lower limit of the discharge output of the energy storage element in the wind, solar, thermal and storage system to be adjusted, th,max It represents the upper limit of thermal power element output in the wind-solar-thermal-storage system to be regulated, and || represents the absolute value.

5. The wind, solar, thermal and energy storage operation scheduling optimization method according to claim 4 is characterized in that: The judgment parameters include the current grid-connected output of the wind power element in the wind-solar-thermal-storage system to be adjusted, the current grid-connected output of the photovoltaic element, the current external power, the output of the thermal power element at the previous moment, the discharge output of the energy storage element at the previous moment, and the charging output of the energy storage element at the previous moment. The adjustment requirements of the thermal-storage combined output at the current moment are determined based on the values ​​of the judgment parameters, specifically: Determine whether the value of the judgment parameter satisfies the formula P w,t +P pv,t +P th,t-1 +η d P d,t-1 -η c P c,t-1 >P l,t If it is satisfied, it is determined that the regulation requirement of the combined output of thermal storage at the current moment needs to be lowered; if it is not satisfied, it is determined that the regulation requirement of the combined output of thermal storage at the current moment needs to be raised, where P w,t represents the grid-connected output of wind power components in the wind-solar-thermal-storage system to be adjusted at time t, P pv,t represents the grid-connected output of the photovoltaic elements in the wind-solar-thermal-storage system to be adjusted at time t, η d represents the discharge efficiency of the energy storage element in the wind-solar-thermal storage system to be regulated, η c represents the charging efficiency of the energy storage element in the wind-solar-thermal storage system to be regulated, P l,t Indicates the power delivered by the wind, solar, thermal and energy storage system to be adjusted at time t.

6. The wind, solar, thermal and energy storage operation scheduling optimization method according to claim 3 is characterized in that: The overall objective function is: Among them, C l_total represents the total objective function, a represents the weight of the carbon emission objective function, C emission represents the carbon emissions of thermal power units, b represents the weight of the objective function of renewable energy grid power, T represents the operating cycle, P w,t represents the grid-connected output of wind power components in the wind-solar-thermal-storage system to be adjusted at time t, P pv,t represents the grid-connected output of the photovoltaic element in the wind-solar-thermal storage system to be adjusted at time t, c represents the weight of the objective function of the deviation between the external power and the receiving load, P l,t represents the output power of the wind-solar-thermal storage system to be adjusted at time t, P load,t It represents the load power at the receiving end of the wind-solar-thermal-storage system to be adjusted at time t, min() represents the minimum value, and || represents the absolute value.

7. A wind, solar, thermal and energy storage operation scheduling optimization device, characterized in that: The wind, solar, thermal and storage operation scheduling optimization device includes: A construction module is used to construct an operation model and an operation scheduling optimization model for the wind, solar, thermal and storage system to be regulated; The acquisition module is used to obtain the value of the judgment parameter; a judgment module, configured to determine a current adjustment requirement for the combined thermal-storage output based on a value of a judgment parameter, and determine an operating constraint for limiting the adjustment priority of thermal power elements and energy storage elements based on the adjustment requirement and a preset priority adjustment mode; the preset priority adjustment mode is to prioritize adjustment of energy storage elements or to prioritize adjustment of thermal power elements; and the adjustment requirement is to determine whether downward adjustment is required or upward adjustment is required; The scheduling scheme optimization module is used to solve the mixed integer model to obtain the operation scheduling scheme of the wind, solar, thermal and storage system to be regulated; the mixed integer model includes operation constraints and the operation model and operation scheduling optimization model of the wind, solar, thermal and storage system to be regulated.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the wind, solar, thermal, and storage operation scheduling optimization method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the wind, solar, thermal and storage operation scheduling optimization method described in any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the wind, solar, thermal and storage operation scheduling optimization method described in any one of claims 1 to 6 is implemented.

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