73 results about "Carbon potential" patented technology

The invention discloses a carbon emission flow analysis method for carbon emission evaluation in multiple application scenes, belongs to the technical field of power system carbon emission modeling and evaluation, constructs a connection relationship among nodes, branches and a power supply in a power system, and collects output data and type information of a power generation power supply and a power flow result in multiple operation conditions. The method comprises the following steps: calculating carbon emission of a power generation node, distributing the carbon emission to a load node according to a power flow path, identifying a carbon emission source of the load node by adopting a power tracking method, and calculating carbon emission intensity and a carbon potential index; a transmission structure of carbon emission in a power grid is defined, step-by-step distribution and flow direction tracking of the carbon emission are realized, and the defect that a carbon emission path is unobservable in the prior art is overcome; the identification precision of the carbon emission composition is improved, and a basis is provided for the priority division of energy-saving and emission-reducing measures; a carbon emission path mapping matrix and a transition probability matrix are constructed, dynamic identification of path changes is realized, and discovery of key paths and nodes is facilitated.

The invention relates to the field of power system carbon emission flow analysis, in particular to a closed-loop power grid-oriented electric energy tracking and power flow tracing coupled carbon emission flow analysis method, which is based on power flow distribution of an actual power grid and comprehensively utilizes an electric energy tracking method and a power flow tracing method. According to the invention, fine allocation and full-link physical traceability of nodes, branches and loads in a closed-loop power grid structure by carbon emission are realized. By establishing a power flow distribution matrix, a unit injection matrix, a load distribution matrix and a carbon emission intensity vector, the carbon potential of each node, the branch carbon flow rate and the load carbon flow rate are calculated in a recursive manner, an electric energy tracking method and power flow traceability are coupled, and node allocation is iteratively optimized, so that the actual flow path and spatial distribution characteristics of the carbon flow in a power grid are disclosed. The method can adapt to scenes such as complex multi-source access and a looped network structure, the scientificity and fairness of closed-loop power grid carbon emission management are improved, and theoretical and method support is provided for development of low-carbon scheduling, carbon accounting and low-carbon economy.

The invention discloses a power system carbon emission dynamic traceability and evaluation method, system and device based on life cycle and topological entropy fusion and a medium, and belongs to the technical field of power system low-carbon operation and carbon emission evaluation, and the method comprises the steps: collecting carbon emission data of different stages; establishing a stage set, calculating the emission of each stage, and solving a life cycle carbon entropy; abstracting a power system into a weighted directed graph, calculating a branch carbon flow rate based on the weighted directed graph, and calculating a graph theory carbon entropy based on node inflow; introducing a weight parameter, fusing the life cycle carbon entropy and the graph theory carbon entropy, and defining a fusion entropy; under a multi-period operation condition, calculating a time evolution sequence based on the fusion entropy, and defining a sensitivity coefficient; and generating a visual carbon flow map containing node carbon potential distribution, a branch carbon flow rate, a carbon entropy evolution curve and a responsibility allocation matrix. According to the method, dynamic conduction and node-level tracking of carbon emission along the electric power flow are realized, and the complexity and balance of carbon emission space distribution are quantified through an entropy theory.

The invention relates to the technical field of energy internet and intelligent micro-grids, and discloses a dynamic energy-carbon coupling modeling and collaborative optimization method for a wind and light storage and charging system, which comprises the following steps of: a, acquiring operation data of the wind and light storage and charging system; b, calculating to obtain the equipment-level dynamic real-time carbon potential of the output port of the energy conversion equipment; step c, updating the virtual total carbon load by using the state data of the energy storage unit and the real-time carbon potential; step d, constructing and solving a rolling horizon optimization problem to obtain an optimal control strategy covering the prediction horizon; and step e, issuing and executing a control instruction, and repeating the step a to the step e. According to the method, the physical working condition and the real efficiency of the equipment are dynamically mapped, the carbon emission intensity and the equipment operation state are associated in real time, and then static emission factors are replaced, so that the influence of the equipment on the carbon flow is accurately and dynamically reflected, and the precision and the real-time performance of microscopic carbon accounting are improved.

The invention discloses an electrical carbon power flow solving model construction method and device based on a physical guidance correction neural network and an electrical carbon power flow solving method. The model construction method comprises the following steps: acquiring historical operation data of each node of a power system; constructing and initializing an electrical carbon power flow solving model; in the training process, the model outputs a voltage amplitude, a voltage phase angle and node carbon potential according to input unit injection power and load power; calculating boundary condition loss by comparing a predicted value with an actual value; calculating a power residual error and a carbon potential residual error, and determining physical constraint loss by combining physical constraints of power balance and carbon potential balance; based on the assumption that the power residual error and the carbon potential residual error at the next historical moment are 0, physical guidance correction loss is determined, and then total loss is obtained; and converging the model through iterative training to obtain a trained model. By implementing the method, the problem of low calculation efficiency caused by depending on load flow calculation in the prior art can be solved, and efficient calculation of the carbon emission of the power system is realized.

The invention relates to the technical field of park comprehensive energy system low-carbon operation, in particular to a park comprehensive energy system low-carbon demand response method and system, and the method comprises the following steps: carrying out the low-carbon demand response of a load side and an energy storage side based on a power side CCS-P2G coupling operation mechanism; constructing a source-load-storage collaborative carbon reduction park integrated energy system low-carbon operation framework; aiming at carbon emission characteristics of park equipment and energy storage, establishing a park integrated energy system extended carbon emission flow model; calculating a dynamic carbon emission factor based on an extended carbon emission flow model; and the dynamic carbon emission factor is used as a guide to excite a user to change a power utilization mode and change charging and discharging behaviors through energy storage so as to carry out low-carbon demand response. Compared with the prior art, the method has the advantages that the low-carbon potential of resources on the load side and the energy storage side is effectively excavated, and the carbon emission of PIES is effectively reduced; the extended carbon emission flow model provided by the invention can overcome the difficulty of carbon emission flow analysis caused by diversified equipment in PIES.

The invention discloses a park dynamic carbon portrait generation method and system, and the method comprises the steps: collecting building, equipment and traffic multi-source energy consumption data in real time through Internet of Things equipment, and calculating the carbon emission intensity in combination with a dynamic carbon emission factor library; constructing a three-dimensional park model, mapping the carbon emission data into a dynamic thermodynamic diagram layer according to a spatial hierarchical structure (park-building-floor-equipment), and synchronously generating a vehicle carbon emission intensity diagram; positioning a key emission source based on the energy flow-carbon flow mulberry-based graph, setting a grading early warning threshold value, and triggering a three-dimensional highlight alarm and carbon reduction strategy suggestion; an optimization algorithm is adopted to generate a multi-energy cooperative regulation and control instruction, and the instruction is pushed to the energy management system for execution; and closed-loop verification and iterative optimization are realized by monitoring emission reduction, economic benefits and carbon potential indexes. The space-time dynamic visualization of carbon emission, key source intelligent positioning and adaptive optimization closed loop are realized, the problems of lack of real-time performance and low traceability precision of park carbon management are solved, and the carbon emission intensity is reduced through actual measurement.

The invention discloses a power distribution network scheduling method and system for guiding demand response through dynamic carbon emission factors. The method comprises the steps that related data of a power distribution network are collected in real time; determining the carbon potential of each node in the power distribution network topology based on the related data of the power distribution network; calculating a dynamic carbon emission factor of each node based on the load of each node and the carbon potential of each node; correspondingly calculating the electricity-carbon coupling time-of-use electricity price based on the power distribution network time-of-use electricity price and the dynamic carbon emission factor; a power distribution network node load low-carbon demand response model is adopted to determine the variable quantity of a price type demand response load; calculating the carbon emission quota of the power distribution network and the actual carbon emission of the power distribution network; determining the stepped carbon emission cost of the power distribution network based on the carbon emission quota of the power distribution network and the actual carbon emission of the power distribution network; constructing a low-carbon dispatching model of the power distribution network; and solving the power distribution network low-carbon scheduling model, and generating a power distribution network low-carbon scheduling strategy. The method has the advantages that the low-carbon performance of the power distribution network can be guaranteed, and the load demand response precision is good.

The invention discloses a comprehensive energy system source-load collaborative low-carbon economic dispatching method based on extended carbon emission flow. The method comprises the following steps: constructing a comprehensive energy system extended carbon emission flow model based on an energy hub; constructing a combined operation model of a wind turbine generator, a carbon capture unit and power-to-gas based on carbon flow; a low-carbon demand response mechanism based on carbon potential is designed, and the carbon reduction potential of the load side is released; a carbon flow-based master-slave game framework is constructed, and the high-carbon attribute of the system is improved; and designing a source-load cooperative operation method under a carbon flow view angle to realize low-carbon economic operation of the system. According to the method, an extended carbon emission flow model of the comprehensive energy system is constructed, a combined operation model of a wind turbine generator, a carbon capture unit and power-to-gas is constructed based on the extended carbon emission flow model, and the coupling characteristic of the source side of the system is improved; a low-carbon demand response mechanism based on carbon potential is designed, and the perceptibility of a user to carbon difference is improved; source-load cooperative operation is realized based on the master-slave game, and the low-carbon economic level of the system is improved.

The invention discloses a hollow cathode discharge composite rare earth oxide assisted enhanced ion carburization method. According to the method, hollow cathode discharge composite rare earth oxide is adopted to realize enhanced ion carburization. The discharge of the hollow cathode is realized by utilizing an auxiliary cathode which is arranged in parallel opposite to the infiltrated surface of the metal sample piece, and the auxiliary cathode is a profiling cathode which is homogeneous with the metal sample piece; and the rare earth oxide is one of granular yttrium oxide, cerium oxide and lanthanum oxide and is uniformly physically adsorbed on the surface of the auxiliary cathode or the infiltrated surface of the metal sample piece. And during ion carburization, the auxiliary cathode and the carburized metal form a hollow cathode, hollow cathode discharge occurs, and the hollow cathode discharge interacts with the rare earth oxide particles, so that enhanced ion carburization can be realized. Compared with conventional ion carburization, the carbon potential of the infiltrated surface of the metal sample can be obviously improved, the carbon concentration in the infiltrated layer is increased, and the hardness and thickness of the infiltrated layer are improved. The method is simple, easy to master, energy-saving, environment-friendly and remarkable in economic benefit.

The invention belongs to the technical field of electric power, and discloses a virtual power plant energy management collaborative optimization method, system, device and medium, and the method comprises the following steps: S1, constructing a distributed robust optimization multi-market bidding model, and outputting a bidding power plan of a virtual power plant in multiple markets; s2, constructing an internal power market of the virtual power plant and the producer, and calculating a transaction strategy of the virtual power plant and the producer by adopting a Starburg game model; s3, constructing a real-time power consumption deviation management and control mechanism of the production and consumer; calculating a credit value based on the deviation between the real-time electricity consumption and the day-ahead contract amount, and dynamically adjusting a penalty factor and collecting a fine in combination with a historical credit value; s4, constructing a low-carbon scheduling model, defining the equivalent carbon potential of the energy storage equipment, and calculating the carbon emission of the virtual power plant and the producer in combination with each power supply carbon emission factor and the stepped carbon price; and S5, realizing virtual power plant energy management collaborative optimization based on the bidding power plan, the transaction strategy, the deviation management and control result and the carbon cost constraint.

This application discloses a method, device, and medium for carbon emission metering and responsibility allocation in a power distribution network, relating to the field of smart grid technology. The method includes: real-time acquisition of multi-source carbon emission data, preprocessing the multi-source carbon emission data to obtain standard carbon emission data; inputting the standard carbon emission data into a preset dynamic carbon factor model to obtain the dynamic carbon factor of thermal power units, and combining the dynamic carbon factor of thermal power units with the carbon factor of photovoltaic power generation systems to obtain a dynamic carbon intensity vector; performing power flow calculations on the multi-source carbon emission data to obtain a node active power flux matrix and a branch power flow distribution matrix, and combining the dynamic carbon intensity vector, the node active power flux matrix, and the branch power flow distribution matrix to obtain the total carbon potential of each node on the load side; and calculating the carbon flow rate allocated to each node on the load side based on the total carbon potential and the real-time load distribution matrix to obtain the carbon emission responsibility of each node on the load side.

This invention discloses a demand response scheduling method and system that considers the fairness of nodal carbon potential location, belonging to the field of low-carbon optimization scheduling technology. The demand response scheduling method considering the fairness of nodal carbon potential location includes: establishing a comprehensive energy system equipment model and a distribution network carbon emission flow model; establishing a hybrid index model considering the fairness of nodal carbon potential location; establishing a load-side dynamic demand response model based on the hybrid index model to generate carbon price signals; constructing a two-stage low-carbon optimization scheduling model considering the uncertainty of renewable energy output, with system operating costs, nodal carbon potential location fairness index, and carbon emission costs as optimization objectives. The optimal scheduling scheme is obtained through iterative solutions by determining unit output plans in the pre-scheduling stage and adjusting load distribution in the subsequent scheduling stage. This invention reduces system operating costs, achieves refined allocation and fair control of carbon emission responsibility in the comprehensive energy system, and improves the overall low-carbon operation level and the degree of reasonable carbon responsibility sharing of the system.

This disclosure provides a method, device, electronic equipment, and storage medium for controlling the air-coal ratio in a coal-fired boiler, relating to the field of control technology. By dividing the boiler furnace into multiple combustion zones, a virtual burnout carbon potential (representing the unburned combustible carbon load) and a virtual local oxygen potential (representing the effective oxygen supply capacity of each combustion zone) are constructed. The timing deviation between the arrival time of carbon supply and the arrival time of oxygen supply is calculated and a timing compensation amount is generated. The air-coal matching deviation is determined by combining the matching relationship between the virtual burnout carbon potential and the virtual local oxygen potential. Then, based on the timing compensation amount and the air-coal matching deviation, correction amounts for coal feeding and air supply in each zone are generated, and the corresponding actuators are adjusted. Therefore, this method can solve the problems in existing technologies such as the inability to accurately reflect the local combustion state of each combustion zone inside the furnace, timing misalignment in the carbon and oxygen supply processes, and difficulty in finely adjusting the air-coal ratio for different combustion zones.

The application provides a kind of polymeric distributed heat source power grid heat system day two-stage optimization low carbon scheduling method and related device, including obtaining the initial parameter of power grid heat system;Through aggregator aggregation heat load resource, and determine the feasible region of heat load after aggregation;Calculate the optimal economic operation unit output of power grid heat system to meet system load demand, obtain the power distribution of power grid heat system;According to system power distribution and carbon emission flow theory, calculate the carbon potential intensity of each node of power grid and each node of heat network;Based on carbon potential intensity, the optimal low carbon operation unit output of power grid heat system is calculated using the objective function of low carbon scheduling stage, and low carbon scheduling is carried out based on the optimal low carbon operation unit output.The application determines the feasible region by aggregating heat load resource through aggregator, and considers initial parameters and carbon potential intensity in pre-scheduling and low carbon scheduling two stages respectively, realizes the optimization low carbon scheduling of power grid heat system.

The invention discloses a manufacturing method of a heavy-duty gear with high-hardness gradient outer teeth and high-precision inner and outer teeth, which combines the requirements of high hardness and high precision of the heavy-duty gear, adopts a gas / liquid composite permeating agent, high carbon potential carburizing and 100% strong carburizing process to improve the basic carbon content of a carburizing layer, and then adopts strengthening measures of quenching, cold treatment and low-temperature tempering to improve the hardness of the gear. And the hardening layer depth with high hardness and more gentle gradient is obtained. The heavy-duty gear manufactured through the method has the advantages of being high in hardness, precision and bearing capacity, high in machining efficiency and low in machining cost, and is worthy of application and popularization.

The invention discloses a carburizing heat treatment method for a 25 # steel workpiece and the workpiece, and relates to the field of heat treatment. The carburizing heat treatment method for the 25 # steel workpiece comprises the following steps: carrying out controlled atmosphere carburizing on the 25 # steel workpiece, wherein the controlled atmosphere carburizing comprises five stages of exhausting and introducing carbon-containing gas to heat up, intensively carburizing, diffusing, cooling and purifying; the workpiece subjected to controlled atmosphere carburizing treatment is preheated at the temperature of 650-700 DEG C; quenching heating is conducted on the workpiece after preheating, the quenching heating temperature ranges from 840 DEG C to 860 DEG C, and after heating is completed, the workpiece is transferred into a solution alkali with the temperature ranging from 160 DEG C to 180 DEG C to be cooled; keeping the temperature of the workpiece below-50 DEG C for 4-5 hours; and finally, the workpiece is subjected to low-temperature tempering at 150-170 DEG C, discharged from the furnace and air-cooled to the room temperature. The carburizing heat treatment method for the 25 # steel workpiece can accurately control carbon potential, reduce heat treatment deformation of the workpiece, inhibit oxidation reaction to obtain a clean surface, and obtain the workpiece with preset carburizing layer depth and hardness.

This invention belongs to the field of bearing heat treatment technology, specifically relating to a heat treatment process for high-speed bearings. The heat treatment process for high-speed bearings is characterized by the following steps: (1) Heating stage: placing the high-carbon steel workpiece in a heat treatment furnace, heating, controlling the carbon potential in the furnace, and holding at that temperature; (2) Holding stage: continuing to hold at that temperature; (3) Carbon potential increase stage: maintaining the temperature and increasing the carbon potential in the furnace; (4) Carbonitriding stage: performing carbonitriding treatment; (5) Carbon potential reduction stage: reducing the carbon potential; (6) Diffusion stage: holding at that temperature; (7) Quenching stage: after diffusion, transferring the workpiece to a quenching medium for quenching treatment; (8) Tempering stage. This invention significantly improves the surface quality, dimensional stability, mechanical properties, and service reliability of bearing parts through segmented carbonitriding with controlled carbon potential, characteristic quenching media, and precise tempering control, significantly improving surface microstructure quality and enhancing wear resistance and fatigue resistance.

The invention relates to the field of chain carbon management, discloses a full supply chain carbon management method and system for coupling carbon capture and storage of a coal-fired power plant, and is used for providing reliable technical guarantee for green transformation of the coal-fired power plant. Comprising the following steps: generating a global dynamic geological carbon potential field distribution diagram based on real-time working conditions and pre-evaluated geological attribute data of a storage library; generating a geological priority scheduling instruction for each batch of carbon dioxide according to the distribution map; when the carbon dioxide is injected into the conveying pipe network, creating and binding a globally unique carbon asset digital identifier for the carbon dioxide; and after injecting into the target sequestration library, accounting geological sequestration value data based on geological attributes and logistics information of the target library, and registering all the data to a trusted carbon asset account book to form a permanent carbon removal asset record. According to the method, safe optimal scheduling is realized through the geological carbon potential field, and high-quality and high-price carbon assets are realized by using geological value-added factors.

The present application relates to a kind of crude oil transportation system low-carbon potential analysis method, device, medium and equipment, method includes: obtaining pipeline design data, crude oil physical data, equipment parameter, environmental data and carbon emission coefficient, to crude oil transportation system add virtual node;According to the life cycle characteristics of crude oil transportation system, carbon emission stage is divided, and the life cycle environmental load evaluation model of crude oil transportation system is established;According to the solid deposition pigging, safety shutdown constraint, determine the safe transportation temperature limit of each transportation pipeline;With the principle of safe and smooth operation of crude oil transportation system, constraint condition is generated, with economic, low carbon as double target, establish the operation optimization model of crude oil transportation system, generate pareto frontier;According to sensitivity analysis, the operating cost and carbon emissions under different key parameters are calculated, and the low-carbon potential of the transportation system is judged;The present application can determine the economic low-carbon operation scheme of crude oil transportation system, tap the low-carbon potential of transportation system, and promote the green low-carbon transformation of oil field.

This invention relates to the field of industrial process management and optimization scheduling technology, and particularly to a method for tracking and optimizing carbon emission flows in a multi-product co-production process in the fluorochemical industry. First, a directed graph model of the product chain with process units as vertices is constructed. A multi-dimensional carbon emission flow calculation model is established, including direct carbon flows from fuel combustion, indirect carbon flows from purchased electricity and heat, direct carbon flows from the process itself, and carbon flows from the emission of fluorinated greenhouse gases. A dynamic evolution algorithm for node carbon potential and an iterative algorithm for reverse tracing of branch carbon flows are employed to achieve accurate tracking of spatiotemporally coupled carbon flows throughout the entire process. Using the time-varying carbon intensity coefficient as the core parameter, a dual-objective optimization scheduling model is established to minimize both total system carbon emissions and overall operating costs. An adaptive penalty mechanism with carbon constraints is introduced to solve for the optimal scheduling scheme, constructing a rolling optimization closed-loop control link for the production process. This invention effectively solves the problems of calculating carbon flows from the emission of fluorinated gases and allocating carbon flows among multiple products in the fluorochemical industry, achieving a synergistic improvement in carbon emission reduction and economic benefits.

The application discloses a method for correcting carbon potential by using a three-gas analyzer, and is characterized by comprising a constant carbon coefficient calculation formula at different temperatures in a steel heating furnace, which is K=[8753÷(T+273)] 2 The step of the application is the step of π-20, wherein K is a specified carbon coefficient; T is an actual temperature in a heat treatment furnace; the percentage content of CO, CO2 and CH4 in the heating furnace during heat treatment is measured by using a three-gas analyzer, and the carbon potential value is calculated, wherein CP0% is a set carbon potential value on a carbon potential control table of the heat treatment furnace, K is a specified carbon coefficient, and if the actual carbon potential in the heating furnace deviates from the set carbon potential value by ±0.05% through calculation, the set carbon potential value on the carbon potential control table of the heat treatment furnace is adjusted to the actual carbon potential value, and the advantage is that the measurement of the carbon potential is fast and accurate.

This invention discloses a low-carbon economic optimization method, system, equipment, and medium for power distribution systems based on considering user psychology and carbon potential deviation. The method includes calculating node carbon potential deviation values; generating charging and discharging subsidy strategies; constructing a differentiated travel demand model to generate electric vehicle load forecast data; constructing and solving a collaborative optimization model to obtain an optimized operating strategy, initial carbon emissions, and optimized carbon potential deviation; and performing iterative optimization to output the final operating strategy and final carbon emissions. This invention achieves perception and economic intervention of local carbon emissions in the power distribution network by calculating node carbon potential deviation values ​​and generating charging and discharging subsidy strategies. By constructing a differentiated travel demand model, it improves the accuracy of load forecasting and the targeting of regulation. The collaborative optimization model balances economic costs and low-carbon goals. Through intelligent algorithm solving and iterative feedback mechanisms, it outputs an economically feasible final operating strategy and final carbon emission output that reduces carbon emissions, thereby improving overall low-carbon economic efficiency.

The present application relates to a kind of microgrid zero carbon scheduling method based on cold-heat-carbon potential space-time coupling and multi-agent game, the dynamic characteristics of cold and heat load are deeply coupled with the space-time field of power grid carbon potential, the collaborative game of source (green electricity, non-green electricity), storage (battery), load (cold load, heat load) is realized by multi-agent reinforcement learning, the green electricity consumption and carbon emission reduction benefit are maximized, while the interests of each subject are guaranteed.

The invention discloses a carbon energy collaborative response optimization method and device of an integrated energy system, and belongs to the field of power system dispatching operation. The method comprises the steps that a system carbon emission flow model used for calculating the load node carbon potential of the integrated energy system is established according to operation data of the integrated energy system; establishing an upper-layer carbon price optimization model according to purchase and sale transaction data and load node carbon potential of the integrated energy system; establishing a lower-layer load optimization model according to the user use data and the load node carbon potential of the energy load side; and respectively solving the upper-layer carbon price strategy model and the lower-layer load optimization model according to a preset optimization algorithm, and carrying out iterative game optimization on a calculation result to obtain an optimal transaction carbon price and a user response which meet preset requirements. The operation cost of the comprehensive energy system can be reduced, and low-carbon economical operation is achieved.

The present application belongs to the technical field of low-carbon power system, and relates to a source-load collaborative day-ahead low-carbon dispatching method based on node carbon potential. First, a node carbon potential calculation model is established, and a power tracing model of unit output to load node is constructed. Second, the regional average carbon emission factor is taken as a limit to identify the carbon potential exceeding node, and the power tracing model is used to calculate the sensitivity of unit output to the carbon potential of each node, so as to construct a model for source side to share the responsibility of high carbon potential load node exceeding carbon potential. Third, carbon emission modeling is carried out on independent energy storage, reducible load and transferable load, and a step-by-step carbon trading cost is introduced to establish a load side low-carbon demand response model driven by node carbon potential and time-of-use electricity price double signals. Finally, a day-ahead economic dispatching optimization model based on source-load bidirectional perception is constructed and solved. Through iterative calculation, the optimal source-load day-ahead dispatching plan with the minimum system total operation cost as the target is obtained.

The present application relates to a kind of energy concentrator multi-objective collaborative method and system that can carbon bidirectional coupling, first obtain the equipment parameter, topological structure and other related data of energy concentrator, identify carbon potential, renewable energy output two kinds of heterogeneous uncertainty source;Again, energy-carbon bidirectional coupling optimization model that synchronously describes energy flow and carbon emission flow is established, realizes the dynamic interaction and mutual restraint of energy flow and carbon emission flow;On this basis, economic-low carbon-fair multi-objective optimization model is constructed, and ε constraint method is used to solve and generate Pareto optimal solution set;Through energy-carbon-fair balance degree index, final scheduling scheme is selected;Finally, hybrid stochastic-distribution robust optimization framework is used to process the uncertainty of carbon potential and renewable energy output respectively, and it is embedded in optimization model.The method can realize the collaborative optimization of energy concentrator energy flow and carbon emission flow, improve the economy, low carbon and energy use fairness of system operation, provide stable and efficient scheduling scheme for energy concentrator.

The invention discloses a power distribution network low-carbon high-quality scheduling method, system, equipment and medium considering distributed robust optimization segmented affine, and belongs to the technical field of power distribution network scheduling, and the method comprises the steps: taking the minimization of the carbon emission of the product of the main network carbon potential and the net load power as a target function; a Wasserstein distance is adopted to measure the deviation between historical data and real distribution, and multiple types of operation constraints are considered at the same time; the above distribution robust optimization model is converted and solved by adopting a piecewise affine theory, an original nonlinear optimization problem is converted into a linear optimization problem based on a simplex dominant uncertainty set, and the model solving efficiency and robustness are improved. According to the method, the uncertainty of new energy output and carbon potential is effectively dealt with through Wasserstein distance constraint, and the robustness is high; by means of segmented affine transformation, nonlinear robust optimization is simplified into linear optimization, and the solving speed is remarkably increased.

The invention discloses an energy power system cooperative regulation and control method and device based on adaptive carbon potential and a master-slave game, and a nonvolatile storage medium. The method comprises the following steps: acquiring respective initial energy output and initial shadow carbon price of a plurality of nodes in a target power system; performing iterative solution from the initial energy output and the initial shadow carbon price to obtain respective target energy output and target shadow carbon price of the plurality of nodes; based on the respective target shadow carbon prices of the plurality of nodes, determining respective target optimized carbon prices of the plurality of nodes; determining a target regulation and control scheme of the target power system based on the respective target energy output and target optimization carbon price of the plurality of nodes; and regulating and controlling the target power system based on the target regulation and control scheme. The technical problem that power system regulation and control are limited due to the fact that collaborative optimization among nodes in a multi-energy power system is difficult to achieve, carbon cost distribution is uneven and carbon emission reduction responsibility is difficult to quantify is solved.

The invention relates to the field of pit furnaces, and discloses a multi-mode self-adaption and predictive control system based on the ultra-long carburizing process of a pit furnace, and the system comprises a thermocouple which is used for collecting temperature data in the pit furnace in real time; the oxygen probe is used for collecting carbon potential data in the pit furnace in real time; a PLC control unit; the data processing unit obtains the predicted time length of strong seepage based on the temperature data and the carbon potential data which are collected in real time; when the predicted time length of the strong carburizing exceeds a carburizing time threshold value, the strong carburizing stage is subdivided into an early stage of the strong carburizing, a middle stage of the strong carburizing and a later stage of the strong carburizing; respectively generating a control strategy; a transition sub-stage is arranged between adjacent carburizing process stages, and in the transition sub-stage, control strategies of the adjacent stages are subjected to weighted fusion to achieve smooth switching of the control strategies. And the PLC control unit determines opening degree adjusting parameters of the enriched gas electromagnetic valve and the air electromagnetic valve based on a control strategy. The method has the effect of achieving stable control over the carbon potential and the temperature in the ultra-long carburizing process.