528 results about "Green electricity" patented technology

The invention belongs to the technical field of intelligent heat supply, and provides a green power consumption heat storage and release matching control method and system based on a water heat storage boiler, and the method comprises the steps: firstly obtaining a heat load prediction sequence and an electric power spot market price prediction sequence of a heat supply system; secondly, regarding the heat supply network as a graph structure composed of nodes and pipelines, and establishing a pipe network dynamic model for describing the hydraulic and thermal characteristics of the heat supply pipe network; and finally, with the purpose of minimizing the comprehensive operation cost of the heat supply system in the whole scheduling period, and with the whole network heat balance, heat source operation, centralized heat storage device operation, heat supply network safety and user comfort as constraint conditions, solving to obtain a source network load storage cooperative control strategy. The purpose of integrated collaborative optimization of the heat source, the energy storage, the pipe network and the load is achieved, a scheduling strategy with better economical efficiency can be generated, and the problems that the absorption capacity is insufficient, and the overall operation economical efficiency of the system is not high are solved.

The invention discloses a universal method and system for dynamically defining a carbon footprint of a product and a related device, and relates to the field of intelligent accounting of the carbon footprint of the product, and the method comprises the steps: obtaining a bill of material of the product, carrying out the disassembly, obtaining a function unit, and associating with a corresponding production process link; the carbon emission of each production process link is automatically calculated; calculating the carbon emission of the dynamic data; describing the unstructured text, and identifying recessive carbon emission; acquiring regional real-time green electricity proportion data, and calculating the green electricity emission reduction of the product after correction; and based on the carbon emission of each production process link, the carbon emission of the dynamic data, the hidden carbon emission, the green electricity emission reduction and the carbon emission of the waste recovery stage, calculating the life cycle carbon footprint of the product, then carrying out balance verification, generating a three-level structured report, and carrying out uplink storage. According to the method, the integrity of the accounting boundary can be improved, the emission source coverage rate and the recognition efficiency are improved, and the accuracy and timeliness of the product carbon footprint accounting result are improved.

The invention discloses an energy system and method for coupling calcium-based thermochemical heat storage and carbon capture. The energy system comprises a calcination unit, a carbon dioxide pretreatment storage unit, a calcium oxide heat exchange storage unit, a carbonation reaction unit and a heat utilization unit which are arranged based on a boiler. The calcining unit takes green valley electricity as energy to drive calcining reaction to realize heat storage, and generated CaO is processed by the calcium oxide heat exchange storage unit and then is stored for use in a heat release stage; generated COs are stored for standby application after passing through the carbon dioxide pretreatment storage unit; in the heat release stage, CaO and the desulfurized flue gas are subjected to heat release carbonation reaction in the carbonation reaction unit, and heat is released; caCO3 generated by the carbonation reaction can be used for the next heat storage stage; and the heat released by the carbonation reaction is conveyed to the heat utilization unit for heat exchange. Through coupling of calcium-based thermochemical heat storage and carbon capture, green electricity and off-peak electricity are fully utilized, and efficient storage and gradient utilization of energy are achieved.

A gas and steam power generation afterburning type heat-electricity decoupling system and a working mechanism thereof, characterized in that the system comprises a gas turbine power generation system, a power transmission and transformation system, a molten salt heat storage system and a steam power generation system; the gas turbine power generation system is connected with the molten salt heat storage system through a flue gas pipeline; the molten salt heat storage system is connected with the power transmission and transformation system through a cable; the gas turbine power generation system is connected with the power transmission and transformation system through a cable; the molten salt heat storage system is connected with the steam power generation system through a main steam pipeline and a backwater pipeline; and the steam power generation system is connected with the power transmission and transformation system through a cable. The system can realize complete heat-electricity decoupling in a green energy storage system, realize the functions of self-supply of external power, storage of green electricity or heat supply, increase the accommodation capacity of a power grid to green electricity, and enhance the stability, flexibility and safety of a new power system.

The invention discloses a wind, light and green power coupled pumping unit well group operation collaborative optimization method. The method comprises the following steps: acquiring field data of a multi-energy micro-grid pumping unit well group; establishing a wind and light output uncertainty model, an energy storage battery model, a pumping unit power model and bidirectional AC / DC converter equipment; based on each model, establishing a multi-objective optimization scheduling model for the intermittent pumping operation of the multi-energy micro-grid pumping unit well group; an NSGA-II method is adopted to solve the established multi-objective optimization scheduling model, and a Pareto optimal scheduling scheme is obtained; and carrying out comprehensive evaluation and decision analysis based on an entropy weight TOPSIS method, and selecting an optimal scheme from a Pareto optimal scheduling scheme set obtained by NSGA-II. According to the multi-energy micro-grid rod-pumped well group off-peak interval pumping operation multi-objective optimization method based on NSGA-II and entropy weight TOPSIS, the power utilization requirement of the rod-pumped well group can be met, the working system of rod-pumped well group interval pumping operation is optimized, the economical efficiency and stability of the operation of a rod-pumped well interval pumping system under a wind-solar storage micro-grid are ensured, and the green power consumption capability of the system is enhanced.

The invention relates to the technical field of charging scheduling, in particular to an expressway unmanned heavy truck intelligent charging system which comprises a data acquisition and preprocessing system and a vehicle pile network cloud integrated cooperative operation and green electricity source tracing carbon emission reduction module. Driving and charging strategies are optimized in combination with algorithms such as reinforcement learning, the energy consumption of the unmanned heavy truck can be effectively reduced, the transportation resource utilization rate is improved, and it is guaranteed that transportation tasks are efficiently completed in a time window; green power full-link traceability is realized based on the block chain technology, and the charging time is dynamically adjusted in combination with peak and valley electricity prices, so that the authenticity of use of green power is ensured, low-cost green power can be preferentially selected, and the charging and overall operation cost is remarkably reduced; the carbon emission in the charging and operation process is accurately quantified, the emission reduction benefit of a traditional heavy truck is scientifically evaluated, meanwhile, the method is in butt joint with a green logistics authentication system, support is provided for obtaining authoritative green authentication for transportation services, and low-carbon transformation of the industry is assisted.

The invention relates to an energy management method and system for a green electricity hydrogen production and hydrogenation all-in-one machine, and relates to the technical field of hydrogen energy application, the system comprises an upper layer control system and a communication interface module, collaborative optimization scheduling is executed in the day-ahead stage, the rolling stage and the real-time stage; the communication interface module supports IEC104, private UDP and other industrial protocols, and realizes real-time data interaction with a green electricity prediction system and a hydrogen production DCS system. The method comprises the following steps: making an electrolytic cell start-stop and power plan in a day-ahead stage; periodically correcting prediction and demand errors in a rolling stage; the power of the electrolytic cell is dynamically adjusted to fluctuate along with green electricity in the real-time stage. According to the invention, cross-section and multi-time scale coordination control is realized, and the green power consumption rate, the system operation economy and the hydrogen energy supply reliability are improved.

The invention provides a green electricity consumption accounting optimization method and device based on a carbon emission factor and a medium, and belongs to the technical field of carbon emission optimization based on green electricity accounting. The method comprises the following steps: establishing a corresponding relation table between a power purchasing form and a tracing tool according to multi-source data to execute power-proof collaborative tracing; performing inter-region green attribute replacement through a calculation engine, constructing a region green power consumption accounting model, and calculating the total region green power consumption; and calculating a residual power carbon emission factor based on the accounting result, and generating a cross-regional green power consumption report so as to realize carbon emission optimization. According to the method, a green electricity consumption source is accurately positioned through an evidence-electricity collaborative traceability mechanism, the problem of cross-regional repeated calculation is reduced, the calculation reliability is remarkably improved based on a carbon emission factor generated by an accurate accounting result, and thus the path and the cost for achieving a carbon reduction target are optimized.

The invention discloses a device for preparing a molten carbon fertilizer through solid waste microwave pyrolysis and waste heat recovery, and belongs to the field of solid waste treatment and recycling. The device is composed of a pretreatment unit, a microwave pyrolysis unit, a gas-solid separation unit, a gas phase treatment unit, a solid phase treatment unit and a waste heat circulation unit, solid waste enters a microwave rotary kiln after being dried and crushed, a magnetron generates microwave anaerobic pyrolysis under photovoltaic power supply, and a high-temperature gas-solid product is generated; the cyclone separator is used for separating flue gas from solid carbon, the flue gas is condensed to obtain pyrolytic oil and gas, and waste heat of medium-temperature flue gas is recovered through the heat accumulating type heat exchanger for drying; cooling the solid carbon through a heat pipe heat exchanger, recovering waste heat and liquefying urea, and mixing the solid carbon and the urea in a stirring melting pool to prepare a molten carbon fertilizer; and the waste heat backflow fan sends the carbon waste heat back to the drying chamber. The system is driven by green electricity, gas and solid phase waste heat is recovered through double paths, solid waste efficient pyrolysis-product high value-energy self-circulation is achieved, and energy consumption and carbon emission are reduced.

The invention relates to the technical field of power-carbon collaboration, and discloses a block chain-based power-carbon collaboration data management and intelligent optimization method, system, device and medium, and the method comprises the steps: collecting power-carbon multi-source data in real time, and carrying out the data preprocessing; establishing a correlation model between electricity and carbon data so as to quantify a correlation relationship between unit power generation and carbon emission, and obtaining carbon emission reduction data; a double-objective optimization function is adopted to construct an electricity-carbon collaborative decision-making large model, and an optimal unit output scheme is output through deep learning; and generating a block chain hash identifier for each green electricity transaction, performing contract automatic verification, and if a performance risk is monitored, triggering early warning and sending an optimization suggestion. According to the invention, by constructing a technical system based on power-carbon collaborative data management and intelligent optimization, accurate conduction of carbon emission technical constraints, safety interaction of cross-system data, credible tracing of environmental rights and interests and dynamic prevention and control of risks are realized, and fusion and efficient collaborative operation of a power system and carbon emission management are promoted.

The invention provides a green electricity hydrogen production system optimization method and system considering multi-tank service life balance, and belongs to the technical field of new energy and electrochemistry, the method comprises the steps of obtaining market data, power grid data and downstream hydrogen load demand data in a preset scheduling period, and obtaining initial state data of a plurality of electrolytic tanks deployed in a hydrogen production station; constructing a mixed integer quadratic programming optimization model with the goal of maximizing the comprehensive benefit of the system; the model is solved, and the optimal scheduling strategy of the start-stop state and the operation power of each electrolytic cell in each time period in the scheduling period is obtained; and converting the optimal scheduling strategy into a control instruction, and issuing the control instruction to a controller of a hydrogen production station to complete collaborative optimization of the green electricity hydrogen production system. The method aims at solving the problems that in an existing green electricity hydrogen production system scheduling method, the calculation cost of a nonlinear model is high, the nonlinear model is difficult to apply to an actual large-scale system, and short-term market income and long-term equipment life cannot be effectively coordinated and balanced.

The invention belongs to the technical field of new energy power generation and chemical production, and provides a green power chemical system consumption capability evaluation method and related device, and the method comprises the steps: collecting new energy power scene data, and generating a time sequence scene of wind power and photovoltaic output based on a long and short term sequence generative adversarial network; constructing an operation constraint model of the energy storage power station based on a time sequence scene of wind power and photovoltaic output; on the basis of the operation constraint model of the energy storage power station, constructing an operation constraint model of the hydrogen energy storage system; an operation constraint model of an energy storage power station and an operation constraint model of a hydrogen energy storage system are integrated, new energy consumption maximization and grid power demand minimization are taken as optimization targets, a green power chemical system consumption capability evaluation model considering new energy uncertainty is constructed, the model is solved by adopting a mathematical programming solver, and evaluation indexes are output. According to the method, the uncertainty of wind and light output is quantified through new energy scene generation, and the reliability of evaluation is 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 relates to a power grid hour-level green electricity source tracing method and system based on space-time matching. The method comprises the following steps: firstly, collecting power generation data of a power generation end containing a power generation equipment identifier, power generation quantity and a power generation timestamp and power utilization data of a power utilization end containing a user identifier, power utilization quantity and a power utilization timestamp, and preprocessing and integrating into a power generation record and a power utilization record; for each to-be-traced power utilization record, dynamically delimiting a time window according to the power utilization timestamp; all power generation records in the window are inquired and aggregated to calculate the total power generation amount; then, according to the proportion of the generating capacity of each power generation device in the total generating capacity, green electric quantity distributed to the electricity utilization record is calculated, and a distribution relation is recorded to generate a traceability result containing a user identifier, a power generation device identifier, the distributed electric quantity, a time window and matching confidence; and finally, generating an ESG report and an electronic certificate based on the traceability result. Compared with the prior art, the method has the advantages of high traceability precision, high automation degree, high reliability and the like.

The invention discloses a balance unit quotation decision-making method considering uncertainty, and relates to the technical field of power systems, and the method comprises the steps: describing the output of renewable energy sources based on a scene method, carrying out the new energy modeling of the uncertainty of the output of the renewable energy sources, outputting a green power distribution proportion, and collecting market data and the data of a balance unit; building a balance unit quotation decision model based on new energy modeling and input balance unit data; a combined clearing model of the spot market and the green electricity market is constructed through new energy modeling and input market data and balance unit data; and optimizing the balance unit quotation decision model and the joint clearing model, and outputting an optimal quotation strategy of the balance unit. The method has the beneficial effects that the uncertainty of renewable energy sources can be effectively dealt with, the operation risk of the balance unit is reduced, and the operation stability of the system is improved.

The invention relates to the technical field of carbon neutralization, and discloses a critical electricity price calculation method based on green electricity energizing tempering coupling methanol preparation, and the method comprises the steps: building an ironmaking byproduct gas database and defining green hydrogen preparation parameters based on different ironmaking processes, and building a gas purification cost model based on the ironmaking byproduct gas database and the green hydrogen preparation parameters; constructing a ton methanol complete cost model of a tempering coupling methanol preparation path X; a reference process HCTM is selected, C (X) is made to be equal to C (HCTM), and an analytic expression of the critical electricity price is solved; the actual electricity price is compared with the critical electricity price, if the actual electricity price is compared with the critical electricity price, it is judged that the path X has economic advantages relative to the HCTM under the current year T and the carbon tax condition, and if not, it is judged that the path X does not have economic advantages relative to the HCTM. The investment risk of a green methanol project can be remarkably reduced.

The invention discloses a coal-fired unit energy storage coupling carbon capture system and method based on calcium circulation, and aims to realize efficient and cheap capture of CO2 in flue gas while performing energy storage peak regulation of a coal-fired unit. The system comprises main equipment such as a calcination / heat absorption reactor, a pressurized carbonation / heat release reactor, a CaCO3 storage tank, a CaO storage tank and a CO2 storage tank, and auxiliary equipment such as a gas booster compressor, residual pressure power generation equipment, an electric heating module, a dust remover, a gas cooler, a solar gas heater and a smoke-CO2 heat exchanger. According to the method, electric energy of green electricity or valley electricity and heat energy of high-temperature flue gas of a boiler are converted into chemical energy by adopting the cyclic calcination characteristic of CaCO3-based particles and stored in the CaCO3-based particles, and the chemical energy is released again in the form of heat energy when a unit supplies heat to the outside or a power grid uses electricity at the peak. The system has high operation flexibility and economical efficiency.

The invention discloses a movable heat supply system based on calcium-based thermochemical energy storage. The movable heat supply system comprises a centralized thermochemical energy storage unit and a movable thermochemical energy release unit. Wherein the centralized thermochemical energy storage unit drives a dehydration endothermic reaction of a calcium-based energy carrier through microwave heating, and electric energy is converted into chemical energy to be stored; and the mobile thermochemical energy release unit is used for receiving the energy carrier material with energy storage completed from the centralized thermochemical energy storage unit and transporting the energy carrier material, and driving the hydration exothermic reaction of the calcium-based energy carrier through atomization in a heat using scene, so that chemical energy is converted into heat energy for heat supply. Through the design of centralized energy storage and mobile energy release, centralized consumption of green electricity or valley electricity is achieved, energy is transported to a heat using scene in a mobile mode, green heat supply is achieved through release in a steam mode, and the problem of space-time mismatching of energy is effectively solved.

The present application relates to photovoltaic lithium electricity energy storage and air conditioning system intelligent control technical field, specifically, the present application relates to photovoltaic lithium electricity air conditioner terminal machine room AI optimization method based on digital twinning, the present application is through the deployment of distributed optical fiber temperature sensor array, combined with k-epsilon turbulence model generates three-dimensional temperature field positioning hotspot area and calculates the maximum refrigerating capacity increment of air conditioner, fusion this increment, photovoltaic forecast power and lithium charge state, superimposed inverter efficiency compensation factor gets air conditioner callable green electricity quota, bind hot spot and quota generates thermal-electric coupling factor, combined with photovoltaic fluctuation intensity activates linkage mode, triggers deep deterministic policy gradient model to execute air valve opening, water temperature setting, lithium charge and discharge collaborative decision, through joint reward function binding evaluation three control quantity, output joint control vector, the method improves green power consumption rate and temperature control precision, guarantees equipment safety, applicable to machine room efficient operation.

The invention discloses a green electricity ammonia production synthesis tower temperature control system which is arranged in a pipeline between a synthesis tower and a fused salt heating unit, a temperature acquisition end of a TC1 controller is arranged in a pipeline between fused salt electric heaters, and a signal output end of the TC1 controller is in communication connection with a lava electric heater; the temperature acquisition end of the TC2 controller is arranged in the f1 hot gas output pipeline between the fused salt heater and the synthesis tower, and the signal output end of the TC2 controller is in communication connection with the fused salt pump; a temperature acquisition end of the TC controller is arranged at an inlet of a 1 # catalytic bed of the synthetic tower; and a signal output end of the TC controller is in communication connection with an adjusting valve f0 on a process cold air pipeline of the synthetic tower and an adjusting valve f1 on a cold air pipeline of the molten salt heater. Through automatic control of the TC1TC2TC system, adverse effects caused by fluctuation of green electricity such as wind, light and the like can be completely met, and it is guaranteed that the inlet temperature of the 1 # catalytic bed of the synthesis tower is in a reasonable index.

The invention relates to the technical field of electricity market transaction and new energy scheduling, and discloses a high altitude area green electricity transaction volume decomposition method, system, device and medium, and the method comprises the steps: constructing a probability distribution model of historical electricity prices, generating an initial electricity price path reflecting spot electricity price fluctuation characteristics through a stratified sampling method, k representative scenes and corresponding probabilities are screened through a scene similarity calculation method to form a representative scene set; based on a multi-dimensional power transmission constraint condition, constructing a dynamic constraint system for sensing the power transmission capability in real time; the multi-dimensional power transmission constraint conditions comprise wind and light output prediction, power transmission line icing risk, spot electricity price fluctuation, green power total amount and time period performance constraint; and based on the representative scene set and the dynamic constraint system, a green power distribution scheme per hour is solved through a random optimization method, and green power transaction volume decomposition is realized. According to the invention, safe performance and economic benefit maximization of the green electricity contract can be realized.

The invention relates to the technical field of new energy, in particular to a synthetic methanol autonomous reservation electric energy distribution management system based on a big data algorithm, which comprises a data acquisition system and a data analysis processing system, the data analyzing and processing system integrates and analyzes the generated power of the green electricity and the time-sharing weather condition to obtain a green electricity generated power historical database related to the weather condition, and the data analyzing and processing system predicts the time-sharing generated power of the green electricity according to the weather condition of the angelica keiskei acquired by the data acquisition system; the green electricity generation power prediction value is equal to the average value of the historical green electricity generation power measured values under the same weather condition.

A device and a method for producing hydrogen and byproduct oxygen by using green electricity electrolyzed water are provided. The device comprises an oxygen purifying system, a heat exchange system, an air separation compression and expansion system, an air separation rectification system and a liquid oxygen storage system. The method comprises the following steps: first, purifying oxygen prepared by electrolyzing water by green electricity to remove impurities such as hydrogen, carbon monoxide, carbon dioxide and water in the oxygen, then feeding the pure oxygen into the heat exchange system, performing heat exchange liquefaction to obtain liquid oxygen, coupling the liquid oxygen generated by rectification of the air separation rectification system, and obtaining pressurized oxygen through the heat exchange system and the air separation compression and expansion system.

The invention relates to a user distribution and storage and contract electric quantity collaborative optimization method oriented to green power performance, belongs to the technical field of power system optimization configuration, and solves the problems of low long-term contract performance rate, insufficient time sequence matching degree and unreasonable contract electric quantity configuration in the existing green power. Comprising the steps of predicting a new energy output curve and a user load curve in a planning period; constructing a first objective function and a first constraint condition for minimizing the power utilization cost of the user as an upper layer model; constructing a second objective function and a second constraint condition for minimizing the operating cost of the power system as a lower-layer model; and performing iterative solution on the upper layer model and the lower layer model based on the predicted new energy output curve and the user load curve in the planning period, and finally obtaining the optimal energy storage configuration capacity and the green electricity contract signing electric quantity of each user in the planning period. The green power performance capability and the resource configuration efficiency are improved.

The invention relates to an electricity-carbon-green evidence fusion multi-market collaborative service equilibrium decision-making method. The method comprises the following steps: step 1, analyzing electricity-carbon-green evidence benefits under a multi-coupling mechanism; step 2, based on the electricity-carbon-green evidence benefit analysis result under the multi-coupling mechanism in the step 1, constructing a system operation optimization model under the multi-coupling mechanism; step 3, training and calibrating the system operation optimization model under the multi-coupling mechanism constructed in the step 2; 4, performing optimization verification on the system operation optimization model under the multi-coupling mechanism after training and calibration in the step 3; and step 5, using the system operation optimization model under the multi-coupling mechanism after optimization verification in the step 4 to output a daily optimal decision strategy to participate in market decision execution. According to the method, collaborative optimization of electric quantity distribution, carbon emission reduction accounting and green certificate configuration can be realized, and the green power consumption accuracy and the multi-market collaborative operation efficiency are improved.

The invention discloses a thermoelectric hierarchical combined storage and utilization system which comprises a heating device, a first heat storage device, a second heat storage device and a heat exchange device, the first heat storage device comprises a first heat storage bin, one end of the first heat storage bin is communicated with the heating device, heat storage particles are arranged in the heat storage bin, and the second heat storage device comprises a second heat storage bin. Energy storage plates are longitudinally arranged in the second heat storage bin at intervals, the energy storage plates are filled with phase change heat storage media, one end of the second heat storage bin communicates with the other end of the first heat storage device, the other end of the second heat storage device communicates with the heating device, and one end of the heat exchange device communicates with the heating device; and the other end is communicated with the other end of the second heat storage bin. Therefore, according to the thermoelectric hierarchical combined storage and utilization system, hierarchical heat storage can be achieved, high-grade heat and medium-low-grade heat are fully utilized, the heat storage efficiency is improved, meanwhile, multi-category and multi-source energy sources or heat sources can be coupled, and fluctuating green electricity or waste heat is converted into heat energy to be stored; and when the energy is used, the heat energy stored in the phase change heat storage medium is released, so that the gap between intermittent energy and continuous requirements is filled up.

The invention relates to the technical field of power system operation regulation and control, in particular to a green electricity source tracing method and system based on parameter and power flow coupling, electronic equipment and a medium. The method comprises the following steps: acquiring power system operation data and green electricity transaction information; constructing a power network topology model; constructing a load flow calculation model according to the determined network topology constraint and the electrical parameter constraint; configuring the load flow calculation model to execute iterative solution according to the node injection power and the real-time voltage to obtain whole network load flow distribution, and embedding a dynamic weight factor during iterative solution; and in response to a green electricity source tracing request of a user side, calculating a node load green electricity proportion and a branch transmission green electricity proportion so as to generate a green electricity source tracing result. Through the mode, the technical problem that the traceability precision is insufficient due to the fact that an existing green power traceability technology cannot adapt to the dynamic operation state of a power grid is solved, and the accuracy and the real-time performance of a traceability result are improved.

The invention provides a load side power distribution network system based on three-level energy storage balance, belongs to the technical field of traffic road area power distribution networks and energy storage, and aims to solve the problems that a traditional road area power distribution network frame is fragile, unreasonable in source-load matching, difficult in green power consumption and low in equipment utilization rate in a cross energy fusion process under a dual-carbon target. According to the scheme, the system comprises a first-stage energy storage unit (connected with a 35kV transformer substation), a second-stage energy storage unit (connected with a 10kV power supply line), a third-stage energy storage unit (connected with a load area distribution transformer), a photovoltaic power generation unit and a control unit. After the control unit obtains related data, the control unit dispatches each unit to charge and discharge according to the logic of priority three-level on-site balance, second-level cross-court balance and last-level centralized balance, and consumes surplus photovoltaic electric energy. According to the invention, power distribution network source load balance and electric energy on-site consumption are realized, the green power ratio and the power distribution network efficiency are improved, the power utilization cost is reduced, and the construction of a novel power system is facilitated.

The invention provides a green power direct connection optimization method, electronic equipment and a storage medium, and relates to the technical field of electric power. According to the implementation scheme, the method comprises the following steps: acquiring M daily electrical load curves of the green power direct connection system in past continuous M days; based on the curve peak-valley difference value and the curve power fluctuation slope, clustering the M daily electrical load curves to obtain N first curve clusters, N being an integer greater than 1, M being greater than N, and M being an integer at least two times of N; determining N typical daily electrical load curves based on the centers of the N first curve clusters; based on the N typical daily electrical load curves, replacing curves matched with the typical daily electrical load curves in the M daily electrical load curves, and sequentially splicing the replaced M daily electrical load curves to obtain a target electrical load curve; and optimizing the green power direct connection system based on the target power utilization load curve. By adopting the method, the green power direct connection optimization rationality and accuracy can be improved.

The invention belongs to the technical field of park electric power carbon accounting, and provides a park electric power carbon accounting method based on green electricity direct connection and energy storage carbon traceability, which comprises the steps of determining park electric power source types, and respectively collecting operation data of park micro-grids according to the electric power source types; according to the power source type and the operation data, calculating carbon emission of energy storage discharge; according to the operation data, carbon emission of other power sources except energy storage discharge is calculated; and according to energy storage discharge and carbon emission of other power sources, constructing a park power carbon emission model for carbon accounting. According to the method, the high-frequency and high-precision park electric power carbon emission calculation model is constructed, carbon emission of different power supply types is distinguished, meanwhile, the energy storage device is introduced to discharge dynamic carbon emission, in addition, the calculation result is chained and stored by means of the block chain technology, and accurate source tracing of different electric power sources and high-frequency calculation of the carbon emission result are achieved.