12results about How to "Profit maximization" patented technology

The application relates to the technical field of blockchains, and discloses a work authorization circulation method and system based on a blockchain, which comprises the following steps: integrating a heterogeneous cross-chain authorization network of works to be authorized; extracting work features of the works to be authorized, generating work unique identifiers of the works to be authorized, performing symmetric encryption on the works to be authorized, storing the encrypted data block set in layers into the heterogeneous cross-chain authorization network, notarizing the works to be authorized, and obtaining notarized works; configuring authorization parameters of the notarized works, calculating market supply and demand coefficients of the notarized works, calculating time decay factors and reputation decay factors of the notarized works, generating an access control matrix of the notarized works, and constructing authorization tokens of the notarized works; calculating the satisfaction degree of an authorization request and the access control matrix, reading a current token state of the authorization token, generating an authorization credential of the authorization request; decrypting the notarized works, and generating an authorization report of the notarized works. The application can improve the confidentiality and security of work authorization circulation.

The invention relates to the technical field of power system management, in particular to a virtual power plant scheduling method and system based on regional power utilization activity prediction. The method comprises the following steps: collecting user load data and geographic information data of a target area; dividing users into different power utilization activity types based on the geographic information data and the user load data; for each power utilization activity type, utilizing a preset machine learning sub-model to predict a power change curve of the power utilization activity of the type in a future time period; and solving an optimal control sequence of a future time period based on a preset optimization target by using the power utilization activity prediction result, and generating a scheduling instruction for distributed energy, an energy storage system or a controllable load in the virtual power plant. According to the method, load prediction is converted into activity prediction, so that the scheduling decision of the virtual power plant is not based on a fuzzy aggregation value any more, but based on a clear portrait of a future power consumption behavior, and the scheduling precision and stability of the virtual power plant are improved.

The application discloses a control method for a photovoltaic energy storage system participating in a peak regulation auxiliary service market considering carbon benefits, and establishes an optimization model with a target of maximum net benefits of a photovoltaic energy storage combined system in a peak regulation market, wherein the net benefits are compensation benefits minus operation costs of the combined system, the compensation benefits mainly include peak regulation benefits and carbon emission reduction benefits, and the operation costs include energy storage calling costs, photovoltaic system operation and maintenance costs and light abandonment punishment of the photovoltaic system. Constraint conditions of the constructed model include three aspects: power flow direction constraints of the photovoltaic energy storage combined system, charge and discharge power value constraints of the photovoltaic energy storage combined system and energy storage equipment state of charge constraints. The constructed model can be converted into a mixed integer linear programming model, and effective results can be solved by relying on a Cplex commercial solving software. The solved operation control mode can guide the photovoltaic energy storage combined system to realize maximum benefits in the peak regulation auxiliary service market.

The invention relates to the technical field of electricity markets, in particular to a day-ahead-real-time rolling pricing method and system for an electricity selling company, and the method comprises the following steps: S1, constructing an evolutionary game replication dynamic equation of vehicle network interaction of the electricity selling company and an electric vehicle; s2, constructing an evolutionary game income matrix; s3, constructing a day-ahead two-stage pricing optimization model; and S4, constructing a real-time rolling optimization model. According to the method, the interactive behavior with the electric vehicle is simulated through the replication dynamic equation of the evolutionary game, and the economic benefits of the electricity selling company and the electric vehicle user under different cooperation strategies can be effectively predicted and adjusted; powerful theoretical support is provided for establishing a stable cooperation relationship through an evolutionary game income matrix; through constructing a day-ahead two-stage pricing optimization model and a real-time rolling optimization model, an effective price and load management strategy is provided for an electricity selling company in a complex and changeable spot market.

This invention discloses an edge computing resource scheduling optimization method for scalable video. The method includes: setting user video task parameters, modeling the user, and constructing a calculation model of the latency and energy consumption of the user executing tasks locally; constructing a calculation model of the signal-to-noise ratio of task offloading and the resulting uplink latency based on the computing power of the video terminal; setting MEC server parameters, and constructing a calculation model of video task T. u A computational model for execution time on MEC servers; a computational offloading model for edge computing systems oriented towards scalable video coding technology. u Construct a joint offloading and resource optimization model; solve the joint offloading and resource optimization model using KKT conditions and annealing simulation algorithm to obtain the optimized resource allocation strategy F. * and unloading decision χ * .

This invention provides a network protocol vulnerability detection method and system based on message sequence attribution optimization, addressing the problems of existing gray-box fuzzing methods for network protocols in three aspects: message sequence attribution strategy, message sequence evaluation and selection, and selection of mutation point locations in message sequences. The method includes: acquiring the target code of the protocol under test; using the protocol under test for communication; collecting communication traffic; generating an initial message sequence set; performing fuzzing on the protocol under test; collecting code coverage information and status feedback information generated during the runtime of the protocol entity under test, and determining whether the currently tested message sequence is an interesting message sequence; and then performing the next round of fuzzing. This invention is applicable to all network protocol fuzzing tools based on AFLNET improvements and has advantages such as simple implementation principle, strong code coverage and vulnerability discovery capabilities.

The invention provides a cooperative control method for a photovoltaic power generation system and an energy storage system and a related device. The cooperative control method comprises the following steps: acquiring photovoltaic power generation data of the photovoltaic power generation system, energy storage charging and discharging data of the energy storage system, load power consumption data and power grid operation data; determining a target control strategy; adjusting an active power reference value of the photovoltaic power generation system according to at least one of the photovoltaic power generation data, the energy storage charging and discharging data, the load power consumption data and the power grid operation data and the target control strategy; and controlling the output power of the photovoltaic power generation system according to the active power reference value. On the premise that safe operation of a distribution network is guaranteed, voltage out-of-limit of a photovoltaic power generation system is solved, and maximization of photovoltaic power generation benefits is guaranteed.

This utility model discloses a rainwater collection device for vegetable cultivation, relating to the field of rainwater collection devices, including a water storage tank; the water storage tank is equipped with a partition, which divides the interior of the water storage tank into an upper conditioning zone and a lower storage zone; a stirring mechanism is installed in the middle of the top surface of the partition; a drain outlet is provided on the surface of the partition, and an electric sealing plate is hinged to the drain outlet; a water quality pH meter is installed on the top surface of the partition; a support rod is installed on the top surface of the partition, with the top of the support rod located above the water storage tank and equipped with a water purification mechanism; before storing and collecting rainwater, this rainwater collection device for vegetable cultivation will test the pH value of the rainwater. If the pH value meets the standard, it will be directly stored and collected; if it slightly exceeds the standard, a purification agent will be added to treat it until it meets the standard before storage and collection; if it seriously exceeds the standard, collection will be canceled and the rainwater will be directly discharged, which helps to reduce costs and maximize profits.

This invention discloses a multi-winding motor conductive ring structure, stator, and wind turbine generator. The motor conductive ring structure includes U, V, and W phase conductive ring groups. These three phase groups are arranged in rings from the outside inwards, with spacing between them, and are located on the same horizontal plane. Each phase group consists of 2N full-circle windings and 2N minor-arc windings. The virtual circle spacing formed by every two minor-arc windings is located between two full-circle windings. All conductive rings are located on a concentric circle, forming 4N sets of windings, evenly divided into two groups. Each group is individually connected to a corresponding converter. This invention divides multiple sets of windings into two equal parts. By combining full-circle windings and minor-arc windings, the winding current located within the two semicircles is introduced into the same converter, achieving redundancy design and uniform motor stress, avoiding vibration, noise, and other faults. It also reduces axial length and material usage, thereby reducing the unit's weight and manufacturing cost.

The application discloses a power system optimal scheduling method of electrolytic aluminum load participating in demand response, which comprises the following steps: firstly, constructing a double-layer optimal scheduling model with an upper-layer model of power system optimal scheduling of electrolytic aluminum load participating and a lower-layer model of an electrolytic aluminum enterprise optimal operation model; and secondly, solving the double-layer optimal scheduling model to obtain optimal scheduling results containing unit scheduling and electrolytic aluminum load scheduling. The application can effectively guarantee the maximization of the income of the electrolytic aluminum enterprise while meeting the system regulation and control demand and reducing carbon emission.

This invention discloses a method and system for determining differentiated subsidy amounts for emission reduction in port and shipping enterprises. Belonging to the field of emission reduction assessment technology, the method includes: acquiring key parameters of the port and shipping supply chain; classifying the dominant structural types of ports and shipping companies; obtaining information on emission reduction subsidies to shipping companies and green subsidies to shippers, and constructing a game model for dual subsidies; solving the game model to obtain the range of subsidy coefficients; and determining differentiated subsidy amounts based on emission reduction targets. This invention addresses the differences in power structures within the port and shipping supply chain, designs a dual subsidy mechanism that considers both shipping companies and shippers, clarifies scientifically reasonable subsidy amounts and coefficient ranges, and improves emission reduction effectiveness and supply chain efficiency.

The invention discloses a power distribution network resource scheduling method and device and a nonvolatile storage medium. The method comprises the following steps: acquiring equipment output data and load demand data of a county power distribution network; on the basis of a master-slave game theory, an optimization model is constructed, and objectives of the optimization model include county power distribution network income maximization, energy storage service provider income maximization and power consumption cost minimization; setting the electricity price of the county power distribution network according to the equipment output data and the load demand data; collecting user power consumption behavior feedback; based on user power consumption behavior feedback, solving the optimization model by adopting an iterative algorithm to obtain an optimization solving result; and scheduling resources in the county power distribution network according to an optimization solution result. According to the invention, the technical problem that the relation between cost and resource scheduling is difficult to balance due to the fact that resource shortage compensation is carried out on a power distribution network through generator sets capable of being rapidly started, but the generator sets are usually high in operation cost is solved.