37 results about "Economic optimum" patented technology

A green house environment controlling technique with optimal economic effect features that an optimal control scheme is determined through measuring the growth of crop under some, environmental factors and the environmental factors privoded by temp control system, creating their database and control effect database, calculating the ability to provide the environmental factors and its cost P, calculating the economic yield C of crop, and choosing the maximal C / P value to obtain optimal control scheme.

The invention discloses an online optimization method for crude oil blending on the basis of an incremental mode. The method includes the steps of initializing blending task parameters, setting an optimization period, each attribute optimization mode and an objective function weight, obtaining attribute data of each blending component and accumulation blending quality attribute product according to the predetermined optimization period, updating upper and lower limit constraints of a blending head attribute increment, a component formula increment and a component flow increment, obtaining an optimal formula of each blending component of the current optimization period and sending the optimal formula of each blending component of the current optimization period to a blending control systemfor execution. Aimed at a crude oil blending production process of an oil refining enterprise, blended crude oil attribute qualification and the minimum blending cost are used as optimization goals, crude oil attributes can be optimized to the upper limit and the lower limit at the same time, the optimal formulas of the components are calculated according to a certain optimization period, and optimization results are sent to the blending control system for execution to ensure that the attribute quality of the blended crude oil meets the requirements of an atmospheric and vacuum distillation unit while economic optimization is also taken into account, so that real-time optimization of a blending process is achieved, and economic benefits of the oil refining enterprise are increased.

The invention discloses an overall scheduling and predicting control system and method for large coal fired power plant CO2 capture. The method comprises steps of selecting a main control variable anda controlled variable of a model according to a running characteristic of the overall system of coal fired power plant CO2 capture; and first, considering constraints like feed-in tariff, CO2 emission price, main vapor temperature and so on, establishing economic performance indicators for the overall system of coal fired power plant CO2 capture, calculating the most economic target value under the current condition, and then building a model prediction controller based on a status space so as to track the optimal target value. The method not only makes the overall system of the coal fired power plant CO2 capture most economic but also can handle the long delay characteristic of the CO2 capture system effectively, thereby improving dynamic adjusting quality of the output side and enablingthe control system to meet industrial site requirements.

A method and system for real-time optimization of a process which is scheduled using a single-period or multi-period, steady-state planning model and optimization program which can be a Linear Program (LP) or Non-Linear Program (NLP), and is controlled by means of linear or non-linear multivariable constraint controls (MVC). A steady-state model based on first principles of chemistry and physics of a plant is applied with a non-linear optimizer to calculate the optimum operating point of said oil refinery at any desired frequency such that the refinery can be considered to be operating in steady-state. The economic optimum is a function of the price of feedstocks, products and intermediate streams as provided by the refinery planning optimization. The solution is implemented automatically by linear or non-linear multivariable constraint controllers operating each of the processing units of said plant.

The invention relates to a power storage capacity allocation method in consideration of microgrid grid-connected and off-grid switching. The method comprises the following steps: according to data fitting, the relationship between capacity and a discharge rate of a selected lithium battery, the relationship between output and the discharge rate and the relationship between a cycle life and the discharge rate are obtained; in the case of off grid, according to an operation strategy, the power of energy storage and a diesel generator under different operation conditions is solved; in the case ofgrid connection, according to an operation strategy, the power of energy storage and a tie line under different operation conditions is solved; and according to the power of the energy storage and the diesel generator and the power of the energy storage and the tie line, the energy storage power and the capacity are calculated; economic modeling in the case of off grid and grid connection is carried out; and with the economic optimum as a target and with a load shedding rate and load shedding expectation as indexes, the energy storage and the diesel generator capacity are changed at a fixed step size for optimization so as to obtain the optimal energy storage and the optimal diesel generator capacity. The power demands can be greatly reduced.

A system and method for coordinating advanced process control and real-time optimization of a manufacturing process are provided. The system and method receive process data and economic data corresponding to the manufacturing process to be controlled and optimized. Based on the process data, the economic data and a nonlinear steady-state model of the process, an economic objective function is calculated by a real-time optimization module. A reduced-order non-linear approximation of the economic objective function is thereafter calculated by the real-time optimization module and transmitted to an advanced process control module. The advanced process control module utilizes the reduced-order non-linear approximation of the economic objective function to control the manufacturing process towards the constrained economic optimum.

The invention provides a tight sandstone gas reservoir development well pattern optimization method and belongs to the technical field of effective maximum natural gas extraction and geological and gas reservoir engineering and mineral field experiments. The method comprises the following steps: collecting drilling data in a dense area, finely dissecting an effective sand body and determining the length and width of the effective sand body; establishing a no-interference gas well change rule on the basis that the collection production time is long and the fact that well interference does not exist in actual production data of a gas well is proved; determining that a gas-well production interference change rule exists by adopting a numerical simulation technique and on the basis of establishment of a fine geological model; realizing production forecast of two types of gas wells, and establishing a development well pattern optimization model by using gas reservoir development profits as a reference, so as to determine economic limit well pattern density and economic optimum well pattern density of a gas reservoir; establishing a relationship between a gas reservoir recovery ratio and the well pattern density; and determining a reasonable development well pattern for the gas reservoir by comprehensively considering geological requirements, economic conditions and highest recovery ratio expectation, so as to realize optimization of the tight sandstone gas reservoir development well pattern.

The invention discloses an optimal distribution method and system for pollution loads entering river, and belongs to the technical field of pollutant discharge total quantity control, and the method comprises the steps: collecting original data of a to-be-studied region water body and cost data needed by each pollution source to reduce pollutants, and building a hydrodynamic water quality model through the original data; determining the background concentration of a target assessment section of the to-be-studied area; when one pollution source is controlled to be discharged each time, utilizing the hydrodynamic water quality model to calculate the target assessment section concentration after the pollution source is discharged; calculating a pollution contribution coefficient of each pollution source unit load according to a partition standard reaching method; and performing total quantity distribution by adopting a partition standard reaching method, establishing an optimal distribution model in combination with the cost data required for reducing the pollutants by each pollution source, and determining a total quantity distribution scheme of the river or the river surge in the to-be-researched area. According to the method, assessment section standard reaching and economic optimization are considered at the same time, and economic cost is saved.

The invention belongs to the technical field of foundation treatment and pile foundation engineering, and relates to a method for determining the optimal cement mixing amount of a cemented soil stiff composite pile. The method comprises the steps that a first cemented soil stiff composite pile is manufactured under the initial mixing amount; drawing an unconfined compressive strength curve graph; the vertical ultimate bearing capacity of the pile body of the first cemented soil stiff composite pile is detected, and the damage form of the pile body is observed; the cement mixing amount is adjusted through a damage form, a pile is formed again, a second cemented soil stiff composite pile is manufactured, a field load test is carried out, the damage form is changed, drawing is carried out with the vertical ultimate bearing capacity as the longitudinal axis and the unconfined compressive strength as the transverse axis, and the optimal cement mixing amount is determined; the vertical bearing capacity of the pile type can meet the design requirement, meanwhile, the economic optimum and environment protection principle is considered, and cement consumption is greatly reduced.

The invention discloses an overall planning optimization algorithm for a monthly power market and a day-ahead market, and the algorithm comprises the steps: carrying out the risk analysis of the uncertainty of load prediction, introducing the risk cost into an economic optimal optimization function, carrying out the linear transformation of a nonlinear constraint condition, and achieving the optimization solution. The algorithm is used for overall planning and arranging electricity purchasing strategies of the monthly electricity market and the day-ahead market, the solving efficiency is improved, in the monthly electricity market, the electricity price is the electricity price of bilateral transaction, in the day-ahead market, the electricity price is changed per hour, the price is determined by the market clearing price of each transaction time period, and the price of each transaction time period is determined by the market clearing price. If the electricity purchasing quantity of the day-ahead market and the monthly electricity market exceeds the actual electricity quantity, the unexecuted electricity contract is punished. According to the overall planning optimization algorithm, the problems of large prediction error and unbalanced supply and demand of the two markets are solved through calculation, the transaction strategy of overall arrangement of the monthly electricitymarket and the day-ahead market is realized, and reference is provided for organizers of the electricity market.

The invention provides a method for configuration and strategy formulation of an electrochemical energy storage system based on battery attenuation, which is suitable for large industrial users. Extract the typical daily load and extract the maximum monthly demand value; obtain the real-time electricity price of large industrial users every month; based on the battery attenuation characteristics, establish the economic model of the electrochemical energy storage system; the economics of the electrochemical energy storage system The model includes the annual peak and valley income model, the annual demand income model, the battery annual attenuation model and the initial investment cost model of the electrochemical energy storage system; set constraints; take the economical optimization as the objective function, and use the genetic algorithm to optimize. The invention considers the attenuation characteristics of the battery, provides the income and economy of the energy storage system closer to the actual operation, and provides favorable conditions for the large-scale industrialization of the energy storage technology.

The invention discloses an online optimization method for crude oil blending based on an incremental mode, including the initialization of blending task parameters, setting the optimization period, the optimization mode of each attribute and the weight of the objective function, and obtaining the attribute data and accumulation of each blending component according to a predetermined optimization period. Blend quality attribute product, update blending head attribute increment, component formula increment, and component flow increment upper and lower limit constraints, obtain the optimal formula of each blending component in the current optimization cycle, and send it to the blending control system execution. This method is aimed at the crude oil blending production process of the refinery, with the properties of the blended crude oil being qualified and the cost of the blending the lowest as the optimization goal, and the optimization of the properties of the crude oil to the upper limit and the lower limit can be realized at the same time, and the optimal composition of the components is calculated according to a certain optimization period. And the optimization results are sent to the blending control system for execution to ensure that the properties and quality of the blended crude oil meet the requirements of the atmospheric and vacuum unit while taking into account the economic optimization, so as to realize the real-time optimization of the blending process and improve the economic benefits of the refinery.

The invention discloses a multi-time-scale scheduling method for an integrated energy system considering model predictive control, which includes the following contents: 1) Establishing a network constraint model of an electrical-gas interconnected integrated energy system; 2) Establishing a long-term scale with the goal of economic optimization 3) Using the long-term optimal scheduling strategy as a reference value, establish an optimal objective function in the short-term scale; 4) Consider the prediction model of model predictive control, rolling optimization, and feedback correction 5) Test its performance in the established electrical-gas interconnected integrated energy system. The method provided by the invention effectively improves the calculation accuracy, and can more accurately formulate the optimal scheduling strategy of the electric-gas interconnection comprehensive energy system.

The invention provides a precision scheduling control method of a distributed power supply in a microgrid. An equivalent frequency control method is embedded in a conventional economic scheduling method to enable power balance conditions to be met under output fluctuation or load fluctuation of the distributed power supply, thereby realizing precise scheduling of the distributed power supply in the microgrid. In such control method, active power and reactive power required by load and the active power and reactive power output by a power generator are balanced; compared with a periodic economic scheduling method in a conventional centralized power system, the method can guarantee precise control of economic scheduling of the micro grid under different operating scenarios; meanwhile, in such control method, different control methods can be applied to meet special control requirements; and the robust economic control method can keep the whole system running under the economic optimum condition when communication failure occurs in a micro grid unit, thereby achieving precise control of micro grid economic dispatch.

The invention discloses a combined dispatching method of wind, light and water storage, which comprises the following steps: 1, establishing an economic optimal objective function of the combined system of wind, light and water storage; 2, establishing that constraint conditions of the wind-light-water-storage combine system; 3, obtaining the optimal solution set of the optimized operation; A complementary output system is established, and a model is proposed to optimize the operation cost of the system. The complementary system can effectively compensate the fluctuation of new energy output,provide more stable electric power to the grid, improve the utilization rate of new energy, reduce the output adjustment of thermal power units, reduce the operating cost of the system, and provide aneffective way to solve the problem of wind, solar and water storage dispatching. The invention solves the problem that the power grid of the prior art is not strong in absorbing new energy.

The invention belongs to the field of comprehensive energy system optimal scheduling, and relates to an electricity-gas interconnection system optimal scheduling method considering a carbon transaction mechanism, which comprises the following steps: establishing a target function of an electricity-gas combined system model according to wind power generation data, power load data, natural gas output data and the carbon transaction mechanism; solving the objective function of the electricity-gas combined system model to obtain a start-stop state variable and output of each unit; and scheduling the electricity-gas interconnection system according to the start-stop state variable and the output of each unit. According to the method, the improved particle swarm optimization algorithm is adopted to solve the model, and the solving result shows that on the premise that the obtained optimization scheduling strategy meets the load requirement of the system, the coupling equipment output in the system is reasonably scheduled, economic optimization of the system can be achieved, the total carbon emission of the system can be reduced, and the method is a reasonable optimized scheduling strategy.