93 results about "Energy sharing" patented technology

A digital twin-based converged village-level microgrid operation system and method according to an embodiment analyze power patterns of power generation sources and loads in type-specific villages or complexes having different peak time zones, thereby enabling energy use efficiency and stability to be improved. In addition, through an embodiment, power operation and surplus power for each type of empirical site according to a peak load and energy saving analysis can be shared, and thus power purchase costs can be reduced and a power operation between type-specific empirical complexes can be linked. In addition, through an embodiment, provided are digital twin-based microgrid operation advancement methods such as those for energy utilization improvement and power grid stabilization contribution by using an internal power operation of a small-scale empirical site and energy sharing between type-specific complexes.

According to the data center cluster two-stage energy sharing method based on the multi-element load comprehensive demand response, the first stage is a day-ahead optimization stage, uncertainty probability distribution of wind power, photovoltaic power generation and loads is fully considered in the stage, and a shared energy storage (SES) optimization scheduling method based on a conditional worst-at-risk value (WCVaR) is constructed. The second stage is a real-time optimization stage: firstly, designing a novel point-to-point (P2P) transaction mechanism based on an electricity and heat supply-demand ratio so as to realize joint sharing of electricity and heat between DCPs; then, a refined IDR model is provided, the model considers the space-time transferability of data loads and the flexibility, the thermal hysteresis effect and the thermal comfort of the household appliances, and indexes such as the efficiency improvement ratio are introduced to evaluate the IDR model; and finally, constructing a benefit function of the DCCO and the DCPs.

The invention relates to the technical field of multi-park integrated energy system scheduling, in particular to a low-carbon scheduling method and system for a multi-park integrated energy system, and the method comprises the steps: obtaining renewable energy historical output data and historical meteorological parameters of each park, and generating a renewable energy generation power prediction sequence through a pre-trained generative adversarial network; constructing a comprehensive energy optimization model, inputting a renewable energy power generation power prediction sequence, and outputting an equipment scheduling instruction and an energy interaction strategy of each park; executing the equipment scheduling instruction, monitoring actual renewable energy power generation power data, and calculating a renewable energy power generation power prediction deviation; and calculating the energy interaction cost and the energy sharing income of each park, and calculating the actual marginal contribution value of each park by adopting an improved Shapley value algorithm based on the renewable energy power generation power prediction deviation, the energy interaction cost and the energy sharing income. According to the invention, prediction precision and scheduling reliability can be improved, cost and carbon emission are optimized, and earnings are distributed fairly.

The invention provides a maintenance rescue interface system, a vehicle energy system, a child-mother vehicle energy sharing system and a vehicle state control method, and relates to the field of new energy vehicles. The maintenance and rescue interface system is arranged on any one of a child vehicle and a mother vehicle and comprises a maintenance and rescue change-over switch, a maintenance and rescue controller and a maintenance and rescue interface, wherein the maintenance and rescue change-over switch and the maintenance and rescue controller are arranged in the vehicle, and the maintenance and rescue interface is arranged outside the vehicle; the maintenance and rescue change-over switch is connected with a maintenance and rescue controller, the maintenance and rescue controller and a power battery system on the vehicle are both in communication connection with a vehicle control unit on the vehicle, and the power battery system and the maintenance and rescue controller are connected with a high-voltage power supply interface and a low-voltage communication interface of the maintenance and rescue interface respectively; and the high-voltage power supply interface and the low-voltage communication interface of the maintenance rescue interface are respectively used for connecting high-voltage power supply interfaces and low-voltage communication interfaces on maintenance rescue interfaces of other vehicles. Therefore, energy sharing of the two vehicles can be rapidly achieved, and the method is suitable for diversified scenes.

The invention provides a child-mother vehicle energy sharing system, a control method and a child-mother vehicle system, and relates to the technical field of charging control. The child-mother vehicle energy sharing system comprises an energy transmission system, a mother vehicle power battery system, a mother vehicle fuel cell system, a mother vehicle electric driving system, a mother vehicle whole vehicle controller, a child vehicle power battery system, a child vehicle fuel cell system and a child vehicle whole vehicle controller. The mother vehicle fuel cell system is electrically connected with the mother vehicle power cell system, and the mother vehicle fuel cell system and the mother vehicle power cell system are electrically connected with the mother vehicle electric driving system to provide energy for the mother vehicle electric driving system; the secondary vehicle fuel cell system is electrically connected with the secondary vehicle power cell system to charge the secondary vehicle power cell system, and the energy transmission system is electrically connected with the primary vehicle power cell system, the primary vehicle electric driving system and the secondary vehicle power cell system to transmit energy in the primary vehicle and the secondary vehicle. According to the invention, the fuel cell, the power cell and the child-mother vehicle can be combined for energy sharing.

The invention provides a distributed scheduling method for railway traction stations and peripheral micro-energy grids, and belongs to the technical field of energy supply of micro-energy grid groups containing the railway traction stations, and the method comprises the steps: building a micro-energy grid sharing mutual aid grid structure containing the railway traction stations, obtaining a power model of each railway traction station, and optimally configuring energy storage equipment, obtaining operation constraints of the energy storage equipment; constructing an energy sharing benefit function by taking each micro-energy network agent as a game main body and taking individual benefit maximization as a target, setting constraint conditions, and establishing an energy sharing non-cooperative game model; and solving the energy sharing non-cooperative game model by adopting an alternating direction multiplier algorithm to obtain a distributed energy transaction behavior result and a price result. According to the method, distributed solution is carried out on the micro-energy network energy sharing non-cooperative game model based on the alternating direction multiplier method, original centralized optimization is converted into coupling optimization among a plurality of micro-energy network agents through interactive variables, the efficiency of the whole iteration process is guaranteed, and the privacy of each energy network is protected.

The invention discloses an unmanned aerial vehicle assisted emergency communication network performance optimization method and system. The method covers communication link optimization based on environment perception, information is collected through multiple sensors, an environment model is established by applying a machine learning algorithm, and the flight attitude and the communication frequency are dynamically adjusted according to the environment model. The distributed resource allocation utilizes a distributed algorithm and a game theory, takes a utility function Ui = w1Qi + w2Ri-w3Ei as a decision basis, and reaches Nash equilibrium through an iterative game; efficient energy management improves endurance by means of devices such as a solar panel and a wind energy collector in combination with an intelligent algorithm and an energy sharing mechanism. The system comprises a plurality of unmanned aerial vehicles equipped with various modules and corresponding control modules. The stability, the resource utilization rate and the cruising ability of the emergency communication network are effectively improved, and powerful communication guarantee is provided for emergency rescue.

The invention discloses a ship energy sharing management method based on multi-mode adaptive droop control. The ship energy sharing management method comprises the following steps: acquiring shipborne micro-grid data; connecting a plurality of electric ships in parallel with a direct-current micro-grid, and constructing a direct-current micro-grid cluster by using the obtained shipborne micro-grid data; and performing multi-mode adaptive droop control on the constructed DC micro-grid cluster, and coordinating a power control strategy of the whole DC micro-grid cluster. And establishing a small-signal analysis model for the direct-current micro-grid cluster to judge the stability of the system. According to the ship energy sharing management method, decentralized power sharing of a micro-grid cluster based on a plurality of electric ship parallel DC micro-grids is realized through multi-mode adaptive droop control, and a power control strategy of the whole micro-grid cluster is coordinated, so that the micro-grids can operate independently and can also provide power support mutually.

The invention relates to the technical field of hybrid energy storage, in particular to a flywheel energy storage and storage battery hybrid UPS comprehensive evaluation method, which comprises the following steps: analyzing the variation trend of key parameters of a flywheel energy storage unit and a storage battery based on a UPS uninterruptible power supply system, identifying synchronous abrupt change and abnormal combination, and judging the synchronous fluctuation and sharing relationship between parameters, and combining the temperature rise speed and the energy distribution state, dynamically adjusting the output proportion, and obtaining a parameter sensitivity distribution index. According to the invention, through dynamic linkage analysis of operation data of the flywheel energy storage unit and the storage battery, synchronous identification is carried out for parameter change trend, fluctuation amplitude and sudden change behaviors, and coupling judgment is carried out on multi-source parameters, so that a feature group showing linkage abnormity can be screened out in real time; dynamic changes of key links such as energy sharing, temperature rise and discharge rate are accurately described in all stages of operation of the UPS system, and UPS system state interval division is performed according to the parameter response direction and number, so that the boundary of a risk area is clear.

The invention belongs to the field of cloud energy storage power dispatching, and discloses a multi-microgrid cloud energy storage dispatching method in an energy sharing mode, which comprises the following steps: acquiring data and preprocessing the data; constructing a user side cloud energy storage charging and discharging optimization decision model; constructing a cloud energy storage operator charging and discharging optimization decision model; the micro-grid internal power balance model serves as an upper-layer model, user income serves as a main optimization target, upper-layer and lower-layer public decision variables are transmitted into a lower-layer model after solving, the lower-layer model is a multi-micro-grid combined operation optimization model, micro-grid overall income serves as a main optimization target, and an optimal scheduling strategy is output after solving. According to the invention, the problem that the income is biased to the user without the photovoltaic system by taking the overall benefit as the main target based on the traditional cloud energy storage mode is solved, the benefit of the user with the photovoltaic system is ensured, and the electricity utilization satisfaction degree of the photovoltaic users participating in the mode is improved.

The invention discloses a hydrogen production and hydrogenation integrated station electric energy-peak regulation combined market transaction method considering hydrogen load demand response. The method comprises the following steps: 1) constructing a hydrogen production and hydrogenation integrated station day-ahead electric energy-peak regulation combined market transaction mechanism and framework; 2) constructing a cost model of the hydrogen production and hydrogenation integrated station for regulating and controlling multi-type hydrogen load demand response; 3) considering uncertainty factors such as hydrogenation load of the hydrogen fuel cell vehicle, and proposing a hydrogen production and hydrogenation integrated station market transaction model with maximum operation income as a target based on distribution robustness; 4) constructing a day-ahead electric energy-peak regulation combined market clearing model containing the hydrogen production and hydrogenation integrated station by taking social welfare maximization as a target; and 5) proposing a market transaction strategy solving method based on a differential privacy-consistent alternating direction multiplier method (DP-C-ADMM). According to the invention, a cooperative transaction mechanism in which the hydrogen production and hydrogenation integrated station participates in multiple markets is constructed, and a transaction model based on distributed robustness and a transaction strategy solving method considering privacy protection are proposing.

The invention belongs to the technical field of power systems, and particularly relates to a direct-current micro-grid group power protection scheduling method based on mobile energy storage transfer frequency modeling. Comprising the following steps: constructing a mobile energy storage MES model; during the peak period of power demand, the MES flexibly moves through charging and discharging to realize energy scheduling among DCMG groups; a scheduling objective function is constructed, and a scheduling strategy with the purpose of minimizing the total operation cost is achieved; constructing a space-time transfer model of the mobile energy storage MES, and defining transfer time, residence time and frequency constraints; the nonlinear constraint is converted into a mixed integer linear programming problem, and the problem is solved through a commercial solver. According to the method, energy sharing among the DCMGs is realized through the MES, and the DC micro-grid group energy scheduling model integrating the MES under the power limiting condition is established, so that the load interruption cost during the power limiting period is reduced, and the overall elasticity of the micro-grid group is improved.

The present invention discloses an optimization method and system for the energy consumption load management of chain parks based on a clustering algorithm, which relates to the technical field of load management optimization. The method includes collecting data of multiple chain parks, constructing a load characteristic vector through a multi-source feature fusion technology; based on the load similarity and geographical distribution characteristics among chain parks, using a graph structure model to model the energy interaction and correlation characteristics among chain park nodes, forming a collaborative load network; aiming at the time-dependent characteristics of the energy consumption load of chain parks, segmenting the load curve according to time sequence and introducing a time weighting coefficient for clustering; designing a multi-objective collaborative optimization clustering algorithm, combining load clustering with optimization objectives to solve the optimal clustering scheme under different scenarios; and generating a distributed scheduling strategy adaptable to scenario changes according to the clustering results and the load collaboration relationship among chain parks. The present invention realizes energy sharing and load balancing among chain parks, and greatly improves the economy and environmental benefits of the regional energy system.

The invention discloses a vehicle energy sharing system and a control method. The vehicle energy sharing system is applied to a child-mother vehicle, and the child-mother vehicle comprises a child vehicle and a mother vehicle. The vehicle energy sharing system comprises a power source sharing controller, a child vehicle power supply conversion control module, a child vehicle power supply conversion switch module, a mother vehicle power supply conversion control module and a mother vehicle power supply conversion switch module. The power source sharing controller sends power supply conversion control signals to the child vehicle power supply conversion control module and the mother vehicle power supply conversion control module, and the child vehicle power supply conversion control module controls the on-off state of the child vehicle power supply conversion switch module according to the power supply conversion control signals. The mother vehicle power supply conversion control module controls the on-off state of the mother vehicle power supply conversion switch module according to the power supply conversion control signal, and energy sharing is achieved. According to the technical scheme, the child vehicle can charge the mother vehicle, the child vehicle does not need to be parked at a fixed charging device for charging, charging convenience is improved, the utilization rate of a power source is increased, and then cost is reduced.

The invention discloses an energy sharing mutual aid benefit balanced distribution mechanism among multiple micro-energy networks, which belongs to the field of multi-micro-energy network system operation scheduling, and comprises the following steps: S1, dividing micro-energy network groups and combined pairing according to a matching index of a comprehensive curve form and a distance of micro-energy network source and load data, and constructing a micro-energy network benefit objective function; s2, introducing contribution, cost and risk factors into a traditional Shapley value method model, and constructing an improved Shapley value method model; and S3, performing distributed optimization solution on the micro-energy network cooperation alliance based on an ADMM algorithm, and realizing benefit balanced distribution by adopting a cooperation game strategy of an improved Shapley value method model. According to the method, the interaction efficiency is improved by dividing the group through source load matching, the information privacy is protected by using the ADMM algorithm, fair distribution is realized by improving the Shapley value method model, and the method is suitable for collaborative optimization operation of a multi-micro energy network system.

The application provides a multi-output DC-DC converter based on shared DC capacitor, comprising a power conversion unit, an energy sharing regulation unit and an output unit; the power conversion unit is arranged between a power supply end and the output unit, and comprises a plurality of flying capacitors and a plurality of power switching tubes, thereby forming a flying capacitor switching network; the energy sharing regulation unit is connected with the power conversion unit, and comprises a DC capacitor and a plurality of power switching tubes, thereby forming a DC capacitor switching network; the output unit comprises a plurality of inductors and a plurality of output capacitors, thereby forming an inductor-capacitor output network, and the output unit has a plurality of output ends; the charging and discharging of the flying capacitor and the charging and discharging of the inductor are controlled by controlling the on-off of the power switching tubes in the power conversion unit and the energy sharing regulation unit, so that the output ends provide energy for loads, the DC capacitor is charged and discharged to store energy and provide energy for the output ends, and independent regulation of the output ends is realized.

The invention is suitable for the technical field of micro-grids, and provides a multi-micro-grid energy sharing method based on a vehicle-mounted mobile energy storage system, and the method comprises the steps: obtaining the real-time power vacancy or power redundancy data of each micro-grid in a multi-micro-grid system; constructing a multi-microgrid system energy sharing optimization model; solving the multi-microgrid system energy sharing optimization model to obtain the optimal transaction power of each microgrid and the vehicle-mounted mobile energy storage system; based on an asymmetric Nash bargaining model, generating a cooperative profit distribution scheme according to the optimal transaction power; sending to an energy transport operator, receiving an executable scheduling scheme fed back by the vehicle-mounted mobile energy storage system, and generating a target energy scheduling instruction according to the executable scheduling scheme; and controlling the vehicle-mounted mobile energy storage system to execute charging and discharging operation and mobile operation based on the target energy scheduling instruction. The utilization rate of mobile energy storage is effectively improved, and the problem that mobile energy storage refuses to execute remote area scheduling due to insufficient economic excitation is avoided.

The invention provides a capacitor energy equalization system and method for a modular multilevel converter. The system comprises a modular multilevel converter access module, an average capacitor voltage controller and a circulating current controller, the modular multilevel converter access module is used for generating a circulating current and inputting the circulating current to the circulating current controller; the average capacitor voltage controller is used for controlling the average value of the capacitor voltages of the sub-modules in the phase units to track a preset voltage reference value, generating a circulating current control reference current and inputting the circulating current control reference current to the circulating current controller; and the circulating current controller is used for receiving the circulating current and the circulating current control reference current, generating a compensating current which is opposite to the double-frequency circulating current in phase, and adjusting the circulating current through the compensating current so as to equally divide the capacitance energy. According to the invention, the loop current controller is added to suppress the frequency doubling loop current, and the operation reliability of the modular multilevel converter is improved.

The present invention relates to the technical field of photovoltaic energy storage, and in particular relates to a green energy sharing system and management method based on a photovoltaic energy storage system. The green energy sharing system comprises: a photovoltaic energy storage system; customer power generation systems, which are configured at all or some customers and are configured to connect to customer load circuits; an energy router, which is configured at each customer; and a system cloud platform, which is used for generating a scheduling instruction on the basis of the power generation of the photovoltaic energy storage system, the power generation of each customer power generation system and the power consumption of each customer load circuit. The management method is used for realizing energy scheduling on the basis of the green energy sharing system. The present invention provides a new solution for the application of new energy in different environments.

The application discloses a dynamic distributed energy storage and energy sharing allocation method based on energy exchange fusion, which comprises the following steps: a client continuously acquires power battery information and real-time position information at a fixed sampling frequency during vehicle operation and uploads the information to a server; according to the state of charge of the power battery, the client is divided into energy supply clients and energy demand clients; the energy demand clients send energy demand requests to the server; the server sends confirmation requests to the energy supply clients and the energy demand clients in turn, and generates an energy sharing allocation session after confirmation by both parties; the energy transmission is performed by respectively controlling the discharging device and the charging device through the in-vehicle bus; and in the energy transmission process, any party can actively terminate and notify the server that the energy transmission is over. The application can realize real-time, accurate and efficient allocation of energy between vehicles and is suitable for the urban road network dynamic distributed energy storage scene based on the long-range energy storage battery of an electric vehicle.

The invention discloses a park centralized and decentralized regulation and control method suitable for high-proportion photovoltaic consumption, and the method comprises the steps: building interactive energy sharing transaction mechanism mathematical models between market operators and parks and between a plurality of parks, building a non-cooperative game power distribution network and a target function of a plurality of park optimization regulation and control models, the market electricity price constraint, the electric quantity balance constraint and the electric energy supply and demand balance of the park are used as constraints; and solving a game model based on a Kriging meta-model algorithm. According to the method, a clear mathematical optimization model is adopted, a scheduling decision is determined by a clear objective function and constraint conditions, the whole scheduling process is transparent and traceable, and the interpretability is greatly enhanced. According to the method, electricity purchase and sale prices formulated by the power distribution network, all cost coefficients and a small number of parameters of the PSO algorithm are mainly adjusted, the structure enables the parameter space to be greatly reduced, parameter adjustment has more physical significance, and debugging is easy.

The invention provides a multi-output direct current-direct current converter based on a shared direct current capacitor. The multi-output direct current-direct current converter comprises a power conversion unit, an energy sharing adjusting unit and an output unit, the power conversion unit is arranged between the power supply end and the output unit, the power conversion unit comprises a plurality of flying capacitors and a plurality of power switch tubes, and a flying capacitor switch network is formed; the energy sharing adjusting unit is connected with the power conversion unit and comprises a direct-current capacitor and a plurality of power switch tubes to form a direct-current capacitor switch network; the output unit comprises a plurality of inductors and a plurality of output capacitors to form an inductor-capacitor output network, and the output unit is provided with a plurality of output ends; charging and discharging of a flying capacitor and magnetizing and demagnetizing of an inductor are controlled by controlling on-off of power switch tubes in the power conversion unit and the energy sharing adjusting unit, so that each output end provides energy for a load, energy is stored and provided for each output end through charging and discharging of a direct current capacitor, and independent adjustment of each output end is achieved.

The invention relates to a long-time scale energy efficiency optimization method and system for a direct-current nano-grid cluster, and belongs to the technical field of energy efficiency optimization of a power system. The method comprises the following steps: establishing a cluster equivalent circuit model considering interconnection converter loss, and accurately describing a cluster power flow relationship; based on an equivalent circuit model, constructing a cluster global loss model, and quantifying three types of core losses of a line, a battery and a converter; establishing a cluster energy sharing model, classifying nano-networks according to net power characteristics of the nano-networks, and defining an energy interaction rule; based on the three types of models, an energy optimization management strategy is adopted, on the premise that safe operation is guaranteed, energy flow is optimized through a particle swarm optimization algorithm, and the self-sufficiency rate and energy efficiency of the cluster under the long-time scale are improved. According to the method, the cluster energy flow mechanism is optimized by establishing the cluster analysis model considering the characteristics of the interconnection converter, and the energy transmission efficiency and the self-sufficiency rate of the cluster under the long-time scale are remarkably improved on the premise of ensuring safe and stable operation.

The invention provides an electric vehicle team energy sharing method and system, relates to the technical field of electric motor coach energy management and wireless charging, and solves the technical problem of low endurance guarantee efficiency caused by lack of dispatching and sharing of energy in a vehicle team in the prior art. The method specifically comprises the following steps: acquiring first data of each electric motor coach in a motorcade; predicting the first data based on a vehicle energy consumption prediction model to determine a total energy consumption demand prediction value; determining an energy sharing demand in the motorcade based on the total energy consumption demand predicted value; electric vehicle team energy sharing is carried out according to the energy sharing demand; when the safety condition is met, part of vehicles with surplus electric quantity in the motorcade are indicated to discharge to the ground through vehicle-mounted wireless charging; after the low-electric-quantity vehicles in the motorcade are parked at the station, the low-electric-quantity vehicles receive electric energy from the ground through vehicle-mounted wireless charging to complete energy complementation. The method is used for electric vehicle team energy sharing.

The application provides a power transaction method and system for a joint VPP in an energy blockchain environment, and relates to the technical field of virtual power plants. The application classifies producers and consumers and determines energy preferences when conducting a producer-consumer P2P transaction for a joint VPP, better meets the actual transaction demand, improves the satisfaction of the producers and consumers participating in the transaction, thereby improving the enthusiasm of the producers and consumers participating in the transaction and improving the activity of energy sharing for the VPP.

The invention discloses a multi-energy alliance resource allocation method based on many-to-many energy sharing matching, and belongs to the field of power system optimization operation, and the method comprises the following steps: S1, the benefit, cost and carbon quota preference of a sharing party and a receiving party is defined, the sharing party preference is composed of power generation right sharing benefit, cost and carbon quota selling benefit, and the receiving party preference is composed of power generation right sharing benefit, cost and carbon quota selling benefit; the receiver preference is composed of power generation right receiving income and green evidence income; s2, establishing a many-to-many energy sharing matching model: considering multiple constraint conditions, taking maximization of alliance total revenue as a target function, and combining with a greedy algorithm to realize dynamic matching of a sharing party and a receiving party; and S3, outputting a dynamic matching result. According to the multi-energy alliance resource allocation method based on many-to-many energy sharing matching, the preference matrix is constructed, the objective function is designed, the matching algorithm is adopted, electric quantity and carbon quota transactions between the sharing party and the receiving party are coordinated, and finally the purposes of reducing the electricity utilization cost and carbon emission and improving the income are achieved.

The application provides a method and related device for distributed new energy aggregation participating in power market spot transaction, a large-scale clearing model for distributed new energy aggregation participating in spot market transaction is constructed, the output characteristics of the distributed new energy, market demand and grid constraint conditions are comprehensively considered, a reasonable energy dispatching and configuration strategy is formulated, the Shapley value method is used to realize reasonable distribution of the benefits of each unit after aggregation according to the actual contribution rate of each unit to the aggregator, the planning investment incentive of distributed resources is realized, the consumption of renewable energy is promoted, the operation cost of the power system is reduced, the reliability of the power system and the operation efficiency of the energy internet are improved, and the operation and investment benefits are maximized under regional energy sharing.

The present invention discloses a green community energy sharing method considering carbon credits and electricity traceability, belonging to the technical field of energy market analysis. The present invention includes: (1) determining the prosumer parameters and the operating characteristic constraints of distributed resources; (2) establishing an energy clearing model considering the electricity traceability path based on each prosumer parameter; (3) establishing a carbon credit clearing model based on the established energy clearing model; (4) establishing a green community energy-carbon credit joint clearing model based on the established energy clearing model and carbon credit clearing model; (5) using the alternating direction method of multipliers to solve the energy-carbon credit joint clearing model to obtain the optimal trading plan for the green community and the energy low-carbon management method. The proposed method can provide technical and mechanism references for motivating prosumers on the distribution side to actively conduct low-carbon energy management and promote the consumption substitution of green electricity at the system terminal.

The invention provides a renewable energy facility specification optimization method and system in a dual power supply scene, and belongs to the technical field of solar grid-connected dual power supply. Comprising the steps that in a dual-power-supply scene, small base stations in a region are divided into N clusters, each cluster is provided with an energy storage center and K small base stations, and each small base station is provided with a solar cell panel and an energy storage battery; defining an energy sharing model of the energy storage center and a total cost model of renewable energy facilities of each small base station; providing constraint conditions according to parameters of the sharing model and the total cost model, performing minimization calculation on the total cost by using a Markov decision process, and solving an optimal configuration combination of the solar cell panel specification and the energy storage battery specification; according to the method, objective environment data such as local solar irradiance, regional rent and labor cost are utilized, and the scale of renewable energy facilities most suitable for local regional characteristics is explored from the perspective of minimizing the total cost of the facilities on the basis of considering electricity charge loss.

The invention relates to the field of hydrogen energy shared bicycles, in particular to a hydrogen energy shared bicycle energy supplement demand prediction method and system, and aims to solve the problem that energy conservation and emission reduction cannot be further realized due to lack of a more accurate decision management method during energy supplement of hydrogen energy shared bicycles. According to the method, when the hydrogen energy shared vehicle is subjected to energy supplement decision making, the use position and the parking position of the hydrogen energy shared vehicle are subjected to multi-stage division, the use habits of the hydrogen energy shared vehicle in different areas are predicted, and the energy supplement demand degree of the hydrogen energy shared vehicle is comprehensively judged according to the use habits; the energy supplement demand degree is used as an energy supplement decision basis, the energy supplement decision accuracy of the hydrogen energy shared vehicle is improved, meanwhile, during energy supplement, a dynamic threshold decision mode is adopted according to the load condition of green energy hydrogen production, so that the energy supplement of the hydrogen energy shared vehicle is highly fitted with a clean power generation curve, the electric quantity transfer and storage cost is reduced, and the power generation efficiency is improved. Energy conservation and emission reduction are realized.