47 results about "Energy planning" patented technology

The invention relates to the technical field of energy management, in particular to a fuzzy logic-based multi-objective decision analysis method, which comprises the following steps of: firstly, dividing an evaluation criterion into quantitative and qualitative index sets; constructing an interval type-2 fuzzy set capable of describing data uncertainty according to quantitative indexes such as a full-life investment payback period; for qualitative indexes such as technology maturity, a spherical fuzzy set is introduced, and an intelligent operator for perceiving hesitance is used for aggregation; calculating a group utility value, an individual regret value and a comprehensive sorting index of each energy configuration scheme by applying a hybrid fuzzy VIKOR algorithm, outputting an optimal compromise sorting result, and identifying a reference optimal strategy and a risk avoidance strategy; according to the method, the explainable enhanced fuzzy rule is extracted, the robustness of the decision method is improved by analyzing different types of fuzzy logic, and the transparency, the credibility and the compliance of the energy configuration decision process are remarkably enhanced by the finally generated explainable decision basis, so that a feasible configuration decision reasoning model is provided for energy planning.

The invention provides a dual-time-scale optimization scheduling system and method considering diesel storage insurance supply and new energy consumption, and the method comprises the steps: collecting a plurality of data in real time, and outputting a historical data set and real-time monitoring data to a scheduling module; based on the wind and light output predicted values and load predicted values of the day before dispatching and the dispatching day, a multi-target optimization model is constructed, an energy storage charging and discharging plan, a diesel generator start-stop plan and an electric vehicle dispatching instruction are output, and cross-day energy transfer is achieved; on the basis of a model prediction control principle, 15 minutes are taken as a scheduling step length, a day-ahead scheduling plan is corrected in a rolling manner in combination with ultra-short-term source load prediction data, and prediction deviation is stabilized; controlling charging and discharging switching of the energy storage system, dynamic adjustment of the charging power of the electric vehicle and the operation state of the charging pile; through cooperative operation of day-ahead pre-scheduling and intra-day rolling optimization, source-load balance and low-carbon operation are realized. According to the scheduling system, long-period energy planning and short-period dynamic correction are both considered, and the self-consistency and low-carbon property of the off-grid charging station are improved.

The invention belongs to the technical field of energy planning, and discloses a coal mining area green electricity direct connection planning method and system, and the method comprises the steps: integrating geographic space information, obtaining a three-dimensional geographic space information database, carrying out the processing through a land recycling evaluation model, obtaining a thermodynamic diagram, and carrying out the quantitative analysis of the thermodynamic diagram, and obtaining the power generation amount. Processing and fusing by using a space-time convolutional neural network and a distributed intelligent sensing model to generate a meteorological database; analyzing by using a wind power and photovoltaic space-time output model to obtain a photovoltaic combined sample; processing by using the load prediction model to obtain a load prediction curve set; a source-load time sequence mismatch quantitative model is input for analysis, and an energy storage collaborative configuration scheme is obtained; inputting a multi-target line optimization model for analysis to obtain a direct connection line topological structure diagram; and performing data-driven optimization decision optimization to obtain a source storage load collaborative optimization model, and performing coal mining area green electricity direct connection planning through the source storage load collaborative optimization model. The green electricity is obtained through direct connection, and the cost is reduced.

The invention discloses a polar region environment-oriented two-stage micro-siting optimization method for a wind generating set, and relates to the technical field of polar region renewable energy planning and wind power generation, the optimization method comprises the following steps: polar region environment parameter initialization and scene modeling; the first stage is grid primary selection based on mixed integer linear programming; the second stage is coordinate refinement based on a multi-population genetic algorithm; and scheme output and efficiency evaluation. According to the method, a sector reweighting mechanism of extremely cold correction parameters is realized through reweighting of biochemical parameters and scenes in an environment special for a polar region, the extremely cold correction parameters are directly embedded into a wind regime scene set and a power model, and the problem that a conventional land model can obviously underestimate or overestimate single-machine power and wake flow propagation distance under extremely low temperature and low roughness conditions, so that the reliability of the model is improved is solved. Therefore, the power prediction and wake flow loss evaluation are more practical under the polar region conditions such as the south pole, so that the engineering reliability of site selection decision and the accuracy of generating capacity prediction are improved.

The invention discloses an energy structure planning method and system based on an entropy flow dynamic model, and relates to the field of comprehensive energy planning, and the method comprises a first model building module which is used for building a decision matrix and a state matrix, and building an evolution model based on a system dynamics principle; the second model construction module is used for constructing a target function which takes system entropy generation as an optimization target and takes policy implementation cost and system orderliness as constraint conditions according to the entropy balance equation and the thermodynamic force-flow relationship, and constructing a maximum entropy generation model based on the target function and an evolution model; and the path output module is used for performing iterative calculation by utilizing an outer layer nested optimization algorithm based on the maximum entropy generation model to obtain an optimal policy combination of each time node in a preset planning period, and outputting an energy planning maximum entropy path. According to the method, system dynamics and an entropy theory are fused, source-network-load-storage full-link interaction is described, and a scientific and reliable benchmark reference is provided for low-carbon transformation of an energy system.

The present application belongs to the field of comprehensive energy planning, and provides a kind of comprehensive energy system planning robust optimization configuration method and system.The method comprises, obtaining the resource condition and load demand parameter of comprehensive energy system, establish the IES optimization configuration model with the maximum internal rate of return as optimization target;Establish the uncertain set model of wind and light output and cold and heat load demand parameter, based on IGDT combined with IES optimization configuration model, construct IES robust optimization model facing investment income;Simplify IES robust optimization model, solve the maximum uncertainty fluctuation radius and the uncertain scene parameter of the corresponding worst scenario;Under the condition that the uncertain scene parameter is determined, the optimization configuration scheme of maximizing investment income is solved;According to different expected income deviation calculation forms IES optimization configuration scheme set, adopt fuzzy decision, select optimal scheme.Maximize the investment rate of return as optimization configuration target, and based on information gap decision, under the premise of reaching expected income, solve configuration scheme.

The embodiment of the invention provides an energy regulation and control system, a regulation and control method and electronic equipment, and belongs to the technical field of data processing. The energy regulation and control system comprises an Internet of Things platform module used for collecting various equipment data of an oil field station; the data platform module is used for carrying out data preprocessing on the various equipment data; the algorithm platform module is used for performing energy regulation and control based on the various equipment data after data preprocessing by using an operational research optimization algorithm or a machine learning method; and the business platform module is used for performing correlation analysis on the various equipment data based on a correlation analysis method and determining an operation strategy of the oil field station based on a correlation analysis result. The embodiment of the invention is used for solving the defects that an existing scheme lacks a comprehensive and multi-dimensional energy planning system, so that the system cost is reduced, and the load efficiency of an oil field station is improved.

The invention belongs to the technical field of energy optimization scheduling, and provides a comprehensive energy planning method and system considering the regulation capacity of a regulation and storage pool of a sewage plant, and the method comprises the steps: designing an economic cost function of a comprehensive energy system; the economic cost of the comprehensive energy system comprises investment cost, cost of purchasing electricity from a power distribution network, cost of purchasing natural gas and operation and maintenance cost of the comprehensive energy system; based on an integrated energy system economic cost function, establishing an integrated energy planning model; and solving the integrated energy planning model to obtain a design scheme of the integrated energy system. Under the condition of considering capacity limitation of the regulation and storage pool and natural gas and electric power price, the starting time and power of the water pump of the regulation and storage pool are optimized, and the water pump is started to pump the to-be-treated sewage into the regulation and storage pool as far as possible in the power margin period of the power distribution network, so that optimal configuration of energy of a sewage plant and reduction of energy consumption cost are realized.

This invention discloses a method for constructing a longitudinal comparative analysis model of heating unit efficiency, belonging to the field of data analysis technology. The method specifically includes the following steps: S1, Multi-source operation data acquisition and preprocessing: At least three consecutive acquisition cycles are determined, multi-source operation data is collected, and preprocessed to form a structured dataset; S2, Deep feature extraction from multi-source data: The Pearson correlation coefficient between parameters and historical efficiency is calculated, key parameters are screened, and then time windows are set according to parameter frequency to mine training features. Finally, a matrix containing key parameters and time-series features is constructed, and a deep feature set is obtained after normalization and cross-feature generation. This constructs a longitudinal comparative system for the same heating unit across at least three acquisition cycles. Through benchmark value setting and multi-cycle comprehensive efficiency calculation, the long-term energy efficiency change pattern of the unit is clearly presented, providing core data support in the time dimension for energy planning and operation and maintenance strategy formulation, and helping to deeply understand the performance evolution of the unit from a time-series perspective.

The invention relates to an LLM-based integrated energy model establishing and solving system. The system comprises a user input module, an integrated energy knowledge base module, an LLM module and a plurality of postposition modules used for automatically establishing an integrated energy model according to an analysis result of the LLM module and solving the integrated energy model. The user input module is used for receiving a comprehensive energy planning demand described by a user in a natural language; the comprehensive energy knowledge base module is composed of a scene template base, an equipment model base, a constraint rule base and a solver strategy base. And the LLM module is used for receiving the integrated energy planning demand described by a user in a natural language and a combined text of all contents in the integrated energy knowledge base module, constructing a prompt project based on the combined text, and calling an LLM interface to generate an analysis result. According to the system, the natural language requirement of the user can be converted into a structured modeling process, the establishment of the comprehensive energy system is automatically completed, and the modeling efficiency of the comprehensive energy system is effectively improved.

The application discloses a method for joint configuration of multiple service area substations considering charging demand of expressways, relates to the technical field of traffic energy planning, and comprises the following steps: S1, establishing a traffic flow OD matrix based on the traffic flow distribution of electric vehicles at expressway entrances and exits; S2, establishing a travel behavior and charging demand model of electric vehicles based on the traffic flow OD matrix; S3, establishing a charging station queuing model and dynamically correcting the same; S4, constructing an electric vehicle charging decision probability model; S5, establishing a light-storage-charging multi-node coordination model based on the charging waiting cost of electric vehicle owners, system construction and operation and maintenance cost; and S6, optimizing the light-storage-charging multi-node coordination model to obtain an optimal solution of the joint configuration scheme of the light-storage-charging multiple service area substations considering the charging demand of expressways. The application fully considers the influence of queuing time, charging price and residual electric quantity on the charging behavior of electric vehicles, and also considers the influence of traffic flow on capacity configuration, so that efficient utilization of global resources is realized.

The invention provides an electric power planning method for renewable green new energy development, and belongs to the technical field of energy planning, and the method comprises the steps: calibrating a plurality of supply points in a region according to the position of each electric device in the current region and the type of an energy demand in combination with a change plan; performing preliminary modeling on each building in the area, and inferring an energy transformation scheme by combining the energy demand quantity and the energy demand type designed by each supply point; transmitting energy generated by the new energy system to a plurality of corresponding electric devices for consumption; and the new energy system is integrated into the current actual construction scheme and the building construction scheme to be carried out in the future, and finally energy supply transformation of the buildings in the area is completed. According to the electric power planning method for renewable green new energy development, the proportion of new energy supply of the whole area can be increased, efficient nearby consumption of energy is achieved, dependence on traditional energy is reduced, and a limited new energy system structure is optimized.

This invention belongs to the field of deep learning and renewable energy assessment technology, specifically a method and system for assessing urban photovoltaic potential based on multimodal deep learning. The method includes: acquiring and preprocessing multimodal data of the study area; constructing and training a multimodal deep learning model, which includes a roof recognition module based on a semantic segmentation network and a multimodal fusion module consisting of image branches, table branches, and a fusion output layer to output roof masks and potential correction parameters; based on the model output, sequentially calculating the roof's radiation potential, installation potential, technical power generation potential, carbon emission reduction potential, and economic potential, forming a multi-level potential assessment system. This invention, by fusing multi-source heterogeneous data, achieves high-precision, high-efficiency, and systematic assessment of rooftop photovoltaic potential at the urban scale, providing strong support for urban energy planning and decision-making.

This invention provides an energy management system for a modular robot, comprising a local management unit within each modular unit and a global scheduling unit located on the main control side of the modular robot. The local management unit, centered on a microcontroller, includes an energy bus dynamic reconfiguration module, a lithium-ion battery pack management and monitoring module, a lithium-ion battery pack current capacity estimation module, and a modular unit energy consumption prediction module. It estimates and outputs to the main control controller the current capacity of each modular unit and the future energy consumption requirements for each trajectory in the task sequence. The global scheduling unit, centered on the main control controller, includes a modular robot energy scheduling module. Based on data provided by each microcontroller, it performs global energy planning for the operation of the modular robot and sends energy scheduling commands to each microcontroller. This invention is applicable to solving the problem of localized failures caused by uneven energy consumption in independent power supply systems, and improving the remaining power balance rate.

The application discloses a database training method and device for regional energy consumption prediction and path optimization, an optimization method and system. The STIRPAT model is trained through the standardized multivariate time series data set; the standardized multivariate time series data set is divided to obtain the batched LSTM training data, the batched early stop verification data and the hyperparameter verification set; the LSTM time series prediction model is trained through the batched LSTM training data, the batched early stop verification data and the hyperparameter verification set to obtain the trained LSTM time series prediction model; the optimal fusion weight is solved according to the trained STIRPAT model and the trained LSTM time series prediction model in combination with the hyperparameter verification set, and the STIRPAT-LSTM fusion prediction scheme is constructed. The Pareto optimal solution set finally generated by the application has both the causal logic support and the accurate time series prediction basis, and the optimality and the feasibility are taken into account, thereby providing reliable technical support for regional energy planning.

This invention provides a method and system for optimizing the configuration of equipment capacity in offshore energy island systems, relating to the field of integrated offshore energy planning technology. Specifically, it includes: collecting meteorological data, load demand, and equipment parameters within an assessment period; calculating the cumulative corrosion factor corresponding to each sampling time based on the meteorological data and equipment parameters; obtaining the initial performance parameters of wind power and photovoltaic equipment; using the cumulative corrosion factor in conjunction with rainfall intensity and effective scour volume to correct the initial wind energy utilization coefficient and photovoltaic conversion efficiency, generating wind power and photovoltaic power generation; obtaining an initial configuration scheme; analyzing the power generation, energy storage charging and discharging characteristics, and load demand; and iteratively optimizing the equipment capacity configuration scheme with the goal of minimizing economic costs. This invention constructs a capacity configuration system that integrates a physical dynamic degradation mechanism, achieving accurate and reliable planning of the equipment capacity of offshore energy islands.

The invention discloses a heat supply unit efficiency longitudinal comparative analysis model construction method, and belongs to the technical field of data analysis. The method specifically comprises the following steps: S1, multi-source operation data acquisition and preprocessing: determining at least three continuous acquisition periods, acquiring multi-source operation data, and forming a structured data set after preprocessing; s2, multi-source data depth feature extraction: calculating a Pearson's correlation coefficient of parameters and historical efficiency, screening key parameters, setting a time window according to parameter frequency to mine practical training features, finally constructing a matrix containing the key parameters and time sequence features, and performing normalization and cross feature generation to obtain a depth feature set. A longitudinal comparison system of the same heat supply unit across at least three collection periods is constructed, the long-term energy efficiency change rule of the unit is clearly presented through reference value setting and multi-period comprehensive efficiency calculation, time-dimension core data support is provided for energy planning and operation and maintenance strategy making, and deep insight into unit performance evolution from the time sequence angle is assisted.

The embodiment of the invention provides a comprehensive energy planning method and related equipment, and belongs to the technical field of energy planning. The method comprises the following steps: establishing a wind power generation model, a photovoltaic power generation model, a gas turbine power generation model and a cogeneration unit power generation model; establishing a target planning function according to the minimum cost constraint through the wind power generation model, the photovoltaic power generation model, the gas turbine power generation model and the cogeneration unit power generation model; the target planning function comprises carbon emission limiting conditions for gas turbine power generation and cogeneration unit power generation; and splitting the target planning function into an inner circulation problem and an outer circulation problem through a planning optimization algorithm, solving the inner circulation problem, calculating to obtain initial scene data, and calculating to obtain a target planning scheme according to the initial scene data through the outer circulation problem. According to the embodiment of the invention, the feasibility and calculation efficiency of model solving can be effectively improved, and the adaptability of a planning scheme to multiple operation scenes is enhanced.

The invention discloses a coal-electricity transformation path comprehensive evaluation method and system based on AHP-TOPSIS, and relates to the field of power system planning, and the method comprises the steps: constructing a multi-dimensional index system for evaluating a coal-electricity transformation path based on an environment dimension, a system dimension and an economic dimension, and giving an index weight through an analytic hierarchy process AHP; and on the basis of a multi-dimensional index system with index weights, alternative scheme sorting is carried out through an approximate ideal solution sorting method TOPSIS, and comprehensive evaluation is carried out on a coal-electricity transformation path. Through organic combination of AHP and TOPSIS, subjective judgment and objective data information are effectively fused, scientificity, systematicness and operability of comprehensive evaluation of the coal-electricity transformation path are improved, and more reliable decision support is provided for energy planning and policy making.

The application discloses a kind of range extender power control methods based on trip energy planning, comprising: the total energy required for the corresponding remaining trip of this trip is calculated;First remaining trip time, second remaining trip time are calculated based on vehicle speed and power respectively;Comprehensive remaining trip time is calculated based on first remaining trip time, second remaining trip time;Range extender target output power is calculated based on comprehensive remaining trip time and remaining energy requirement, and range extender is controlled by target output power.The application realizes the control of range extender power by comprehensively considering remaining driving range, energy consumption level and trip time, improves the rationality of vehicle energy management and energy utilization efficiency, and enhances the endurance guarantee capability of vehicle under complex working conditions.

The embodiment of the invention provides a map data scheduling method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining the associated path information and vehicle state information of a target vehicle; constructing a first cache region and a second cache region; storing the associated path information to a first cache region to obtain a first cache data set; transmitting the first cache data set to a second cache region according to the vehicle state information and the region state of the first cache region to obtain a second cache data set; and performing scheduling processing on the first cache data set or the second cache data set based on a predicted energy planning strategy corresponding to the target vehicle to obtain a map data scheduling result. The technical problem that high-frequency and low-delay short-distance planning and low-frequency and large-data-volume long-distance planning are difficult to effectively and cooperatively operate on a vehicle-mounted controller with limited resources due to unreasonable computing power resource allocation in a map data scheduling method provided in the related technology is solved.

The present application relates to the technical field of energy planning utilization, and particularly relates to a comprehensive energy system capacity planning optimization method for a zero-carbon park, the present application obtains an output power curve and a consumption power curve, divides a plurality of explicit time periods on the output power curve and the consumption power curve respectively, calculates explicit characteristic coefficients of the explicit time periods according to performance parameters of the explicit time periods, screens first profit and loss fluctuation time periods and second profit and loss fluctuation time periods according to analysis results of the output power curve and the consumption power curve under a first division ratio matching mechanism and a second division ratio matching mechanism, determines profit and loss fluctuation characteristic aggregation time periods, and determines an optimized calling mode of an energy storage end device in each profit and loss fluctuation characteristic aggregation time period, thereby, a complex energy supply and demand relationship is captured according to a multi-matching mechanism, and energy storage optimization calling is combined with physical constraints such as device capacity and geographical distribution, so that the overall performance of the energy system is improved.

The invention discloses a multi-energy-load coupled rural energy consumption scene curve extraction method, system and device and a storage medium, and relates to the field of energy data analysis and typical load modeling, and the method comprises the steps: collecting distributed energy output and rural industrial load data, marking a scene in combination with weather and farming information, and constructing a data set; building a rural energy consumption scene curve similarity measurement model, calculating a similarity distance matrix, determining an optimal cluster number according to a contour coefficient, dividing all days by using a clustering method, and identifying a typical scene curve; after clustering is completed, a representative daily curve is extracted from each cluster; based on the clustering result and the extracted daily curve, the occurrence probability of the typical curve of each cluster is calculated, and the clustering result is output; the method can accurately reflect the operation characteristics of the rural energy system, provides a scientific basis for energy planning, scheduling and equipment type selection, improves the energy utilization efficiency, avoids the resource waste, and promotes the efficient and stable operation of the system.

The invention discloses a planning and game integration-based carbon emission optimization method and electronic equipment. The method comprises the following steps: acquiring a carbon emission and energy planning model of a target power system; determining an initial shadow carbon price based on a carbon emission and energy planning model; based on the initial shadow carbon price, a multi-agent game model is obtained, and the multi-agent game model comprises a plurality of decision-making agents and initial decision-making variables corresponding to the decision-making agents respectively; obtaining a target equalization result based on the subject game model; and based on the target equalization result, optimizing a carbon emission strategy of the target power system to obtain a target carbon emission strategy of the target power system. According to the invention, the technical problems of high operation cost and low carbon emission reduction efficiency of a power system caused by incomplete consideration of factors during carbon emission optimization in the prior art are solved.

The invention provides a smart home service system based on an Android platform, and belongs to the technical field of home service systems. Comprising a main control system module, a user interface module, an equipment control module, an automatic scene setting module, a security privacy protection module, an energy management module and a voice module, the main control system module comprises a core processor, an operating system and a communication module, the main control system module comprises a core processor, an operating system, a communication module, an operating system and an operating system customized and developed based on an Android platform, support for intelligent home equipment is optimized, an API interface and the communication module are provided, and multiple communication protocols such as Wi-Fi, Bluetooth and Zigbee are integrated; and stable connection with various intelligent devices is ensured, which is a brain of a smart home. According to the method, the user can reasonably arrange power utilization according to the prediction result, make energy planning in advance, avoid energy waste, and select to use the high-power electric appliance in the valley period according to the predicted energy consumption peak period, so that the power utilization cost is reduced.

The invention discloses a zero-carbon park hydrogen energy storage economic low-carbon configuration method, system, equipment and medium, and relates to the technical field of comprehensive energy systems, and the method comprises the steps: building a comprehensive energy system of a zero-carbon park, building an operation model of each piece of key equipment based on the energy conversion characteristics of the equipment, and carrying out the construction of the comprehensive energy system; the method comprises the following steps: establishing an economic index and a low-carbon index of an integrated energy system, defining constraint conditions of the integrated energy system, formulating a collaborative operation strategy and an external energy purchasing strategy, dynamically adjusting according to energy supply and demand conditions, establishing an equilibrium model based on a cooperative game method, solving equilibrium configuration, and solving the equilibrium model by adopting an optimization algorithm. And optimal configuration parameters of the hydrogen energy storage system are obtained, and energy planning of the zero-carbon park is carried out. According to the method, through systematic integration, the problems of rough model, single target and constraint deficiency are solved, dynamic balance of zero-carbon park hydrogen energy storage configuration between economical efficiency and low-carbon property is realized, and scientificity and adaptability of energy planning are improved.

The invention relates to an energy system planning method and device, electronic equipment and a storage medium. Comprising the following steps: acquiring historical load data and historical renewable energy data of a target building area; determining two types of prediction data corresponding to the target building area based on the two types of historical data; according to the two kinds of prediction data, typical load data and typical energy data of the target building area in multiple seasons are determined; and performing planning processing on the typical load data and the typical energy data of each season by using a preset objective function and taking a preset constraint condition as a limiting condition to obtain predicted operation cost and predicted capacity data of the target building area. The load data comprises the electric load, the thermal load and the cold load, so that the real load and renewable energy of the building area are considered in a coordinated manner in energy planning, energy planning is performed on the building area in different seasons, future uncertainty factors are adapted, strategies are flexibly adjusted according to actual conditions, and a user can accurately grasp a future energy system planning method.

Procedure, comprehensive: by means of a user equipment device (UE) (106), Exchanging communications (1408) with a base station (102, 604) to determine one or more power planning profiles, wherein the communications include a proposal from the UE to the base station for a power planning profile that specifies a constraint of Ko and K2 values, wherein K0 defines a number of slots between a slot planned for a physical downstream control channel, PDCCH, and a slot planned for a physical shared downstream channel, PDSCH, and wherein K2 defines a number of slots between a slot planned for the PDCCH and a slot planned for a physical shared upstream channel, PUSCH; Receiving a slot configuration plan based on the energy planning profile proposed by the UE; and Performing communication (1410) with the base station based on the energy planning profile proposed by the UE.

The invention discloses an intelligent park energy planning method for agricultural and pastoral zero-carbon transformation, relates to the technical field of energy planning, and is used for solving the problem that the controllability of agricultural and pastoral park energy planning is reduced. The photovoltaic electric quantity data and the soil carbon sequestration saturation data of a to-be-measured agricultural and pastoral production area are integrated to obtain negative carbon compensation characteristics, electric power information of energy consumption metering equipment is obtained, positive carbon emission characteristics are constructed, a carbon notch coefficient is calculated by performing specific value analysis on the positive carbon emission characteristics and the negative carbon supply characteristics, and the power consumption of the to-be-measured agricultural and pastoral production area is calculated. According to the method, the carbon compensation state of the to-be-detected agricultural and pastoral production area is judged, external energy supply configuration is restrained and evaluated according to the carbon notch coefficient, an unenforceable energy transformation scheme depending on external energy supply is prevented from being formed under the condition that negative carbon resources are limited, and implementation judgment of a zero-carbon transformation scheme is achieved. And the scientificity and controllability of the energy planning of the agricultural and pastoral park are improved.