88 results about "Energy balance" patented technology

A modular formulation of model predictive controller is proposed by this invention (400). The modular formulation offers a robust model predictive controller with unified method of tuning. Explicit use of material and energy balance provides stable and robust performance (412). Use of economic based tuning offers a unified tuning method (411). The unified tuning method establishes consistency of control actions resulting from the steady state optimization and the dynamic control (400). Further, a method for formulating and tuning integrated optimization and control using multiple modular model predictive controllers is presented in this invention (100). The method incorporates a direct and explicit method of integration of a number of modular model predictive controllers. The integration of the modular controllers is achieved seamlessly without requiring any further tuning adjustments (200). The resulting integrated system of multiple modular predictive controllers performs robustly, permitting each of the modular model predictive controllers to perform its role in the context of the state of operation of rest of the system. The proposed integration can be made to include lower level modular controllers or at same level controllers or both (300).

The present invention provides a low cost energy monitoring and accounting system for conservation and management of both electrical and mechanical energy. The energy balance established by the energy monitoring system clearly brings out the losses and wastes as well as abnormalities in energy consumption at different sections of the industry paving the way for effective energy management.

The invention provides a regional integrated energy system energy storage configuration method considering an electric / thermal flexible load, and the method comprises the steps: firstly comprehensively analyzing the composition of the electric load and the thermal transmission characteristics of a heat supply system, and building an electric / thermal flexible load model; then, on the basis of the architecture of the known regional integrated energy system, establishing a model of each energy assembly, meanwhile, setting constraint conditions, including energy balance constraint, energy assembly output constraint, tie line transmission power constraint and energy storage constraint; secondly, considering system energy consumption, investment, operation and maintenance and compensation cost, and establishing an economic single-objective optimization model; and finally, based on the LINGO18.0 software, solving the established energy storage optimal configuration model to obtain the optimal output of each device and the optimal capacities of the storage battery and the heat storage tank. According to the method, the regional comprehensive energy system is subjected to energy storage optimization configuration, and the energy utilization efficiency is improved.

The invention relates to a calculation method for an electric load adjustable range of a heat and power cogeneration unit in a heating period. The method comprises the steps of: (1) carrying out statistical processing on heating data in the heating period of the unit; (2) calculating a new steam equivalent heat drop and a heating steam extraction equivalent heat drop of a steam turbine by using an equivalent heat drop theory; (3) according to the equivalent heat drop theory, obtaining a relation equation of generated power of the unit, main steam flow and heating steam extraction flow; (4) carrying out calculation on the generated power of the unit according to the relation equation in the step (3); and (5) obtaining power generation loads of the heating unit under different heating loads. According to the method, the equivalent heat drop value can be calculated accurately and effectively, the relation among the generated power of the unit, the main steam flow and the heating steam extraction flow is obtained, furthermore the power generation loads of the heating unit under the different heating loads are obtained, and finally the electric load adjustable range of the heating unit is obtained. The method not only benefits power and energy balance of areas but also can significantly improve economic efficiency of system operation.

The invention belongs to the field of energy dynamic balancing and optimized scheduling for iron and steel enterprises, and provides an energy balancing and scheduling method based on an improved mixed multi-population evolutionary algorithm. The method comprises the steps that a network topological structure of an iron and steel enterprise energy system and unit equipment information in each coal gas, steam and electricity subsystem is acquired; supply and demand predicted data, production maintenance plans and other setting information of various energy media are acquired; an iron and steel enterprise energy dynamic balancing and optimized scheduling mathematical model is established, and the optimization variable of the optimized scheduling model is determined; the objective function and the constraint conditions of the optimized scheduling model are determined; the improved mixed multi-population evolutionary algorithm is called for solving; in the solving process, a penalty function method is used for processing the multiple constraint conditions in the mathematical model, the degree that an individual violates the constraint conditions is determined by the penalty function, and a new individual fitness value is constructed by adding penalty terms on the objective function. The technical scheme for dynamic balancing and optimized scheduling of multiple energy media is given from the aspects of integrated scheduling and global optimization, and the guiding significance to concrete practice is obvious.

The present invention provides a low cost energy monitoring and accounting system for conservation and management of both electrical and mechanical energy. The energy balance established by the energy monitoring system clearly brings out the losses and wastes as well as abnormalities in energy consumption at different sections of the industry paving the way for effective energy management.

The invention relates to an energy balance underwater acoustic network routing protocol method based on layering. The method comprises a data forwarding step, wherein the data forwarding step comprises the following contents of S11, when the receiving node is not a sink node, judging the size relationship between the own hierarchy L_Rec and the sending node hierarchy L_Snd, and if L_Rec (L_Snd), executing the step S12; S12, the receiving node calculates the forwarding probability of the receiving node according to the one-hop delay and the residual energy so as to set the timeout value of thetimer, and when the timer expires, the receiving node is changed into a sending node to forward the data message; and S13, repeating the steps S11 and S12 till the receiving node is a sink node. The method is advantaged in that the receiving node judges whether to forward the data or not according to the three factors of the hierarchy, the residual energy and the one-hop delay; by taking the nodewith high residual energy and small one-hop delay as the node for data forwarding, energy balance is effectively realized, the service life of the network is prolonged, and the end-to-end delay in thenetwork is reduced.

The invention relates to the technical field of energy consumption, in particular to an integrated energy predicting method, namely a consumed energy predicting method. The method includes selecting regional factor historical data and energy consumption requirement actual value as data samples according to particular years; combining with the acquired data, excavating relationships of different years and types, and searching for sample weights of regional factor samples corresponding to an energy consumption requirement actual value so as to determine the affecting level of regional factors of different years on energy consumption requirements; adopting the prediction algorithm based on linear mapping to predict a total annual consumption requirement value of one region of one year. The relationships of factors and prediction results can be represented objectively, the efficiency of the algorithm is improved, the energy consumption predicting process is more effective and rapid, the energy prediction accuracy can be improved on the economic development fresh normalcy and energy environment strong constraint conditions, the regional energy balance is calculated, and the reasonable and feasible energy development and safety guarantee policy can be determined finally.

The invention discloses a multi-objective optimization method and optimization system for a regional integrated energy system. The method comprises the following steps: firstly, determining a multi-dimensional optimization objective of the regional integrated energy system; then, on the basis of a known regional integrated energy system optimization target, constructing a model framework of the regional integrated energy system, and carrying out modeling on energy conversion equipment, distribution equipment, transmission equipment, electricity storage equipment and other equipment in the regional integrated energy system; meanwhile, setting constraint conditions, including energy balance constraint, energy conversion equipment output constraint, tie line transmission power constraint and energy storage constraint. And finally, solving the established multi-objective optimization model to obtain an iterative optimization process of multi-objective optimization and a final multi-objective optimization solution set. According to the method, a multi-objective optimization scheme of the regional integrated energy system is provided, and the requirement of the regional integrated energy system for coordinating multiple optimization objectives is met.

The invention discloses a multi-energy system optimization scheduling method considering supply and demand two-way demand response. The method comprises the following steps: determining and acquiring basic operation parameters of a comprehensive energy system; modeling the comprehensive energy system considering the electric-thermal multi-energy flow; constructing an energy consumption side comprehensive demand response model considering the electric load and the thermal load; constructing an energy supply side demand response model considering wind power, electric hydrogen production and a hydrogen storage tank; constructing a target function with the lowest energy consumption satisfaction degree and the lowest operation cost of the comprehensive energy system; constructing constraint conditions of an energy balance constraint, a system network constraint and an equipment model constraint; and solving to obtain a day-ahead optimal scheduling scheme of the integrated energy system. According to the method, the supply-demand balance and economic operation of the comprehensive energy system can be realized through multi-energy-flow complementation on the premise of meeting the requirements of the electric load and the thermal load.

The invention relates to a provincial power-grid monthly electricity purchasing risk management method considering wind power uncertainty. The method comprises the following steps of establishing a monthly peak load and valley load state peak adjustment risk measurement index; establishing a monthly peak load and valley load state branch trend out-of-limit risk measurement index; establishing a monthly electric quantity balance up and down out-of-limit risk measurement index; and establishing a provincial power-grid monthly electricity purchasing risk management method model. The method has the advantages that the established monthly peak load and valley load state peak adjustment, the monthly peak load and valley load state branch trend out-of-limit risk and the monthly electric quantity balance up and down risk measurement index can realize effective measurement of a monthly electricity purchasing plan risk and physical connotation of an electric power market risk measurement index is enriched; the established provincial power-grid monthly electricity purchasing risk management method model can realize effective management between economic benefits and the risks so that a new idea is provided for future bringing large scale wind power into monthly electric power and energy balance.

The invention provides a comprehensive energy system multi-objective optimization scheduling method considering the human body comfort, and the method comprises the steps: considering the comfort of auser in the optimization scheduling of the comprehensive energy system, building a PMV model according to the perception of a human body for heat, and describing the feeling of the user for heat supply; describing the dissatisfaction degree of the user to the heat supply by predicting the dissatisfaction degree PPD, and determining the value range of the PMV by setting the PDD; and establishing aheating load model and various energy equipment models of the comprehensive energy system; setting constraint conditions, wherein the constraint conditions include a user comfort degree constraint, an energy balance constraint, an equipment output constraint, an electricity purchasing power constraint and a storage battery constraint; establishing a multi-objective optimization model by adoptinga hierarchical sequence method in consideration of various indexes such as cost, carbon emission and primary energy utilization rate; and finally, solving the established optimal scheduling model based on software to obtain an optimal scheduling result of the system and each objective function value. Example analysis verifies the effectiveness of the method in optimal scheduling of the comprehensive energy system.

In a switched-mode buck power converter, superior regulation with excellent transient response is provided when per-cycle energy demand is determined and balanced with per-cycle inductive energy supply to control per-cycle inductive energy charging. Such per cycle inductive energy calculation is improved through the prediction of pedestal energy during operating periods of Continuous Conduction Mode (CCM). Further, recovery from severe transients sometimes straddles multiple chopping cycles. Such recovery is best obtained by preserving energy balance information from one or more un-recovered chopping cycles, to be used to restore energy balance in subsequent cycles. Significant improvement over prior art converters may be obtained even when the energy balance data used for control and recovery are imprecise approximations of true energy demand and supply.This invention provides control circuitry and a method for using energy balance information to better control a buck converter, with the further improvements of pedestal energy prediction and extension of energy balance over multiple chopping cycles, and for using said circuitry and methods to maintain stability and recover from transients more reliably than in the prior art.

An integrated optimization method of design and control of a continuous agitated vessel reaction process technology provided by the invention comprises the following steps: the step 1, establishing a strict mechanism model aiming at the continuous agitated vessel reaction process technology on the basis of the mass balance and energy balance principle; the step 2, obtaining a linear state space model of an object in a random frame; the step 3, calculating an optimal performance boundary of the closed-loop variance of manipulated variables (MVs) and controlled variables (CVs) and an MVs / CVs variance based on the linearity quadratic gauss (LQG) control principle, and according to the LQG coordination curve, the function relation between MVs variable variance variation and the CVs variable variance variation of the system is determined; the step 4, combining the back-off strategy and process stable state model and the operation conditions and technical indexes of the process to be process constraints for setting the constraint probability permitting violation, establishing the technology design and the control of integrated optimization, and solving and obtaining optimal technology design parameters according to the optimization algorithm.

Based on the energy balance principle (EEDP), the performance objective of high-speed railway bridges is put forward, two energy balance coefficients are calculated, an equivalent single degree of freedom system is established, and finally the performance-based design of high-speed railway bridges under different seismic fortification levels is realized. Based on the energy balance principle (EEDP), a performance-based design and calculation system for high-speed railway bridges is developed. The system includes: a seismic response spectrum conversion module, an energy balance coefficient calculation module, a design parameter calculation module and an EEDP design value and time-history analysis module. The energy balance coefficient calculation module is realized by gamma a calculation module in OpenSees, a gamma b calculation module in OpenSees and a MATLAB matching and fitting module, and the energy balance coefficient calculation module is realized by the gamma a calculation modulein OpenSees, the gamma b calculation module in OpenSees and the MATLAB matching and fitting module. The design parameter calculation module is composed of a beam body-Support-pier two-degree of freedom first mode of vibration solving module and a bearing after-sliding stiffness solving module.

The invention discloses a multi-stage capacity configuration method and system for a park integrated energy system. The method comprises the following steps: firstly, analyzing the construction characteristics of a typical park integrated energy system, dividing the planning cycle of the park integrated energy system into a plurality of stages, gradually increasing the configuration capacity of each device in the park according to the year-by-year growth characteristics of loads, and establishing a multi-stage capacity configuration model of the park integrated energy system; then, on the basis of the known park integrated energy system topology, establishing an operation model of each energy conversion device, and meanwhile, considering various constraint conditions including energy balance, device output, energy storage charge and discharge and the like; secondly, considering the investment cost, the operation and maintenance cost and the equipment residual value of the system, and establishing an economical optimization objective function; and finally, verifying effectiveness and rationality of the model and the method in the aspect of capacity configuration of the park integrated energy system through example analysis. Reference can be provided for planning and equipment capacity configuration of the park integrated energy system.

The invention provides an energy balance analysis method for a moonlet power supply system. The energy balance analysis method specifically comprises the following steps: (1) designing a solar cell array; (2) setting different working modes according to the working process of the satellite, and determining the voltage and power required by the corresponding mode, so as to realize mathematical modeling of the energy balance problem of the whole satellite; (3) inputting the number of satellite initial orbits, determining a satellite attitude mode, and establishing a satellite on-orbit model; (4) calculating a solar incident angle on the surface of the solar cell array, and obtaining the surface temperature of the solar cell array; (5) calculating actual working parameters of the solar cell array by using a temperature compensation algorithm; (6) establishing a power supply system model, and inputting the working parameters of the battery array obtained in the step (5) into the power supply system model; and (7) different working modes of the satellite are controlled through the time sequence parameters 0 and 1 of the flight sequence of the corresponding task, and the real-time working condition of the power supply system is acquired and analyzed.

The invention discloses an energy flow acquisition system and device for a natural gas pipeline model and a medium, and the system comprises a model building module which is used for the modeling of an element in a natural gas network; a parameter acquisition module, used for acquiring topological network and element parameters of the natural gas network according to the model established in the model establishment module; an energy flow calculation module, the energy flow calculation module being used for calculating an energy flow coefficient in the natural gas pipeline according to the acquired topological network and element parameters. A dynamic model is established for the natural gas system on the basis of a steady-state model of a key element of the natural gas system, gas continuity, energy balance and a motion equation. The power flow of the natural gas system is analyzed by adopting a power flow solving method, and when the pressure of each node of the natural gas system isobtained, the power flow distribution of the whole natural gas system can be determined.

The invention provides a micro-nano satellite energy balance evaluation system and an application method thereof. The energy balance evaluation system comprises a satellite flight orbit simulator, a task planning computer, a tested micro-nano satellite, a ground power supply program control machine, a solar array simulator and an energy balance evaluation device. According to the invention, micro-nano satellite energy balance is evaluated based on satellite physical simulation, setting of various parameters in the test process is consistent with the state of a satellite during in-orbit flight,and the energy consumption and supply state of the micro-nano satellite during in-orbit work can be well simulated. The telemetry parameters reflect the influence of satellite attitude and orbit parameters, platform and load working states and other factors on micro-nano satellite energy balance; the energy balance state can be comprehensively and accurately evaluated by analyzing the telemetry parameters, potential risks are eliminated, the satellite energy use efficiency is improved, and the potential of a satellite is developed to the maximum extent.

The invention discloses an energy online monitoring method, device and system. The method comprises the steps: carrying out the communication with designated equipment in a to-be-monitored system in apreset communication mode, and acquiring the real-time monitoring data of the to-be-monitored system, wherein the real-time monitoring data comprises real-time power generation data, real-time powergrid power supply data and real-time power utilization data; and judging whether the first converter in the to-be-monitored system is in energy balance and / or whether the direct-current bus is in energy balance according to the real-time monitoring data so as to realize energy monitoring according to a judgment result. According to the invention, the real-time monitoring data capable of reflectingthe power generation, power grid power supply and power consumption conditions of the to-be-monitored system is obtained from the specified equipment in the to-be-monitored system in the preset communication mode; the energy balance of the first converter and / or the DC bus is verified based on the real-time monitoring data, so that the comprehensiveness and accuracy of the monitoring data are ensured, the energy flow condition of the new energy system is comprehensively and accurately monitored, and the evaluation and energy management scheduling of the new energy system are facilitated.

The invention provides an operation control method for an integrated energy system containing hybrid energy storage, and relates to the technical field of energy scheduling. According to the actual operation condition of an energy storage device, a preset integrated energy system containing hybrid energy storage and comprising a distributed energy storage device, a distributed energy generation device and an energy conversion device is constructed, and the preset integrated energy system containing hybrid energy storage can be a virtual power plant or a virtual power plant. Detailed independent modeling is carried out on each device in the virtual power plant, energy balance constraint, hybrid energy storage constraint, device operation constraint and energy transmission network constraint are comprehensively considered for the hybrid energy storage comprehensive energy virtual power plant, and finally, maximum income and minimum energy loss are used as objective functions, and an optimal scheduling model of the hybrid energy storage integrated energy virtual power plant is established, and the electric energy conversion amount of each device in the distributed energy storage device is obtained, so as to compensate the random volatility and intermittency of the distributed energy through the electric energy conversion of the energy storage device.

The invention relates to the technical field of energy balance systems, in particular to an energy balance analysis platform safety system based on big data and a use method thereof. The system comprises a cloud platform security module and a cloud user security module. Platform safety is protected through backup processing, a virtualization technology and an SPLC, the system guarantees that hardware runs in a safe and stable environment, the safety of a virtualization layer is guaranteed, meanwhile, the system guarantees that the safety of a product can meet strict cloud requirements, the safety capacity of the cloud product is effectively improved, and the safety risk is reduced. By installing a lightweight software installer on a host, the method acquires the security capability of intrusion detection, deploying a cloud server on the host and the like, a tenant is ensured to obtain security guarantee at the first time when an instance is started, the high availability of an application is ensured, a website server can be prevented from being maliciously invaded, multi-copy redundant storage and full-stack data encryption are improved, and a full-stack encryption protection capability is provided for data security.

The invention is suitable for the fields of new energy, energy saving and environment protection, and provides an intelligent energy system special for use in an office. The intelligent energy system comprises an energy balancing device, a cold energy converting and adjusting device, a heat energy converting and adjusting device, an electric energy inputting device, a refrigerating, cold-accumulating and converting device, a heating, heat-accumulating and converting device, a cold energy outputting device, a heat energy outputting device, a special heat energy outputting device, a heat recovering and circulating device, a cold recovering and circulating device, a residual heat converting device and a residual cold converting device for realizing intelligent balance control connection for various types of energy flow. According to the intelligent energy system, cold and heat energy balance is taken as a core, multiple types of energy such as ground heat energy, solar energy, air energy, water energy, nature gas, wind energy and the like are integrated, and novel technologies such as heat balance, energy conversion, energy circulation, cold and heat recovery, energy accumulation, intelligent control and the like as well as novel equipment are used for performing intelligent balance control, so that energy is recycled circularly, and a plurality of functional requirements such as refrigeration, heating, steam power generation and the like of the office are met integrally.

The invention discloses an energy balance control method of a cascaded H-bridge type energy storage system. The method comprises a cascaded H-bridge type energy storage system inter-phase energy balance control method and a cascaded H-bridge type energy storage system in-phase energy balance control method. The interphase energy balance control method comprises the following steps: calculating interphase energy balance coefficients among an A phase, a B phase and a C phase in a cascaded H bridge; and realizing energy balance by adjusting carrier waves of the corresponding phases through the inter-phase energy balance coefficients. In the in-phase energy balance control method, in-phase energy balance coefficients in the A phase, the B phase and the C phase in a cascaded H bridge are calculated; and the energy balance is realized by adjusting the carrier waves in the corresponding phases through the in-phase energy balance coefficients. In the invention, working time of a cascaded H-bridge PCS power tube is changed by multiplying the carrier waves of the energy storage system by the corresponding balance coefficient, a purpose of differentially charging and discharging different power units among the phases A, B and C and in the same phase is realized, and finally, the balance of energy stored in the energy storage units among the phases and in the phases is realized.

The invention provides a capacity optimization configuration method for a combined cooling heating and power system. The method comprises the following steps: establishing a capacity optimization model of the combined cooling heating and power supply system by taking equipment capacity and an electric refrigeration ratio in the combined cooling heating and power supply system as decision variables and taking minimum economic cost, minimum energy consumption and minimum environmental influence as three objective functions; defining energy balance constraint, equipment capacity constraint and output power constraint conditions; adopting a reverse learning mechanism, a control level, a population guidance mechanism and a seagull attack operator to improve a multi-target multi-element universe algorithm (MOMVO); solving the multi-objective optimization function by using an improved multi-objective multivariate universe algorithm; and outputting an optimal compromise solution, namely an optimal configuration scheme, of the capacity optimization configuration problem of the combined cooling heating and power system by using a TOPSIS decision method. A final configuration result shows that the optimal configuration scheme obtained by the improved multi-target multivariate universe algorithm under various operation strategies enables the operation of the combined cooling heating and power system to be more economical, energy-saving and environment-friendly.

The invention provides an integrated energy system operation control method and system based on an integrated demand side response, and the method comprises the steps of considering the participation of electric, cold and heat loads in the integrated demand side response, and constructing an energy balance model based on the structure composition of an integrated energy system; based on the energy balance model, obtaining an expression of a coupling relationship between different energies in the integrated energy system; obtaining an energy output curve of the thermoelectric unit by utilizing a coupling relation between energy, and dividing user demands into different types according to the energy output curve of the thermoelectric unit; and according to the division of the load types, respectively formulating corresponding equipment operation and demand side response strategies based on a comprehensive demand side response model and an energy balance model. And efficient matching of system energy output and energy load is realized.

The invention relates to a regional distributed energy system optimization method based on a demand distribution continuous condition, and the method comprises the following steps: (1) determining anenergy supply radius, and building a continuous demand distribution model; (2) establishing a neighborhood scale regional distributed energy system model comprising a supply side pipe network, a demand side pipe network and a transmission and distribution side pipe network; (3) establishing a non-linear optimization model of regional building group energy interconnection and intercommunication considering the supply side and the demand side at the same time, the non-linear optimization model taking the primary energy saving rate as an objective function and taking energy balance and equipmentcapacity as constraints; and (4) solving the nonlinear optimization model to obtain the optimal building mixing ratio, the optimal energy supply technology combination and the energy supply amount ofeach type of energy per hour. Compared with the prior art, the energy-saving performance of the system is considered from the perspective of the space structure, collaborative optimization of the energy supply strategy and the building mixing ratio is effectively achieved, and the application effect of the regional distributed energy system is improved.

The invention discloses a method for responding to surface temperature of afforestation based on a multi-source remote sensing and energy balance model. The method comprises the following steps: 1) collecting available remote sensing data, climate data and land coverage data; 2) by utilizing a spatial analysis method, generating a space-time distribution diagram of the unchanged man-made forest, the natural forest and the open land with efficient resolution; 3) carrying out scale conversion and matching on the collected data, unifying the resolution, and carrying out space-time change simulation of afforestation and change analysis of related parameters based on a grid sampling scale moving window space sampling method; and 4) constructing an afforestation response surface temperature distinguishing model integrating a surface energy balance equation and an internal biophysical theory. The multi-source remote sensing data, the climate data and the energy balance model are integrated to evaluate the regional temperature response mechanism of afforestation, so that the model responding to temperature change is more comprehensive and reliable, and an important scientific evaluation basis is provided for implementation of management measures of reasonable afforestation.

The invention provides a multi-objective optimal scheduling method for an integrated energy system considering human comfort, considers the user's comfort in the optimal scheduling of the integrated energy system, establishes a PMV model according to the human body's perception of heat, and describes the user's perception of heating; Predicting dissatisfaction PPD describes the user's dissatisfaction with heating, and determines the value range of PMV by setting PDD; establishes the heating load model and the energy equipment models of the integrated energy system. Constraints are set at the same time, including user comfort constraints, energy balance constraints, equipment output constraints, power purchase constraints, battery constraints, consideration of costs and various indicators of primary energy utilization, and a multi-objective optimization model is established using the hierarchical sequence method. Finally, based on the software, the optimal scheduling model built is solved, and the optimal scheduling results of the system and the value of each objective function are obtained. Numerical example analysis verifies the effectiveness of this method for optimal scheduling of integrated energy systems.