40 results about "Market simulation" patented technology

According to one embodiment, a market information simulator delivers a simulation time faster than a real time to a market simulator. The market information simulator delivers historical market information including the same time as the simulation time to an algorithm processor. The algorithm processor orders and determines the historical market information, and sends, to the market simulator, order information in which a time in the historical market information is added to order contents. The market simulator creates market board information from the historical market information. The market simulator determines the market board information and the order information by agreement.

The invention relates to an integral electricity market operation system. The system comprises a system supporting layer, a platform supporting layer, an application service layer and a business application layer, wherein the system supporting layer is used for providing operation environment and development environment for the electricity market operation system; the platform supporting layer is used for managing a power gird physical model, a market economic model and a dynamic data model and providing sharing platform supporting for application; the application service layer is used for providing service for trade management, planning optimization, operational control and market simulation; and the business application layer is used for providing service for electricity market operation. By the aid of the system, the design of an integral electricity market operation system frame of multi-cycle electricity trade decision and management and the design of an integral electricity market operation system frame of integrity of the economic model and the physical model, integrity of the trade optimization and safety analysis, integrity of production operation and forward analysis, integrity of market operation and the market simulation and integrity of capital flow and electricity flow display are supported, a business decision analysis platform is constructed and the electricity source operation serves as the center.

The market simulator / optimizer of the present invention combines partworth valuation techniques of Conjoint analysis with Nash equilibrium profit-maximization methodologies for sophisticated statistical treatment of a virtual available market comprising a multiplicity of virtual customers. An easy-to-use graphical user interface allows a user to arrange various market component icons to model various market characteristics. Associated with the market component icons are various distributions, including a benefit distribution containing values indicative of respective benefits to the multiplicity of virtual customer, and a cost distribution containing values indicative of respective costs associated with providing the respective benefits to the multiplicity of virtual customers.

The invention discloses a multi-time-scale large-user direct trading power market analog simulation method. The method comprises the following steps of at the beginning of a month, collecting large user power consumption characteristic information, a power plant unit price curve and power grid transmission data and brining direct-trading long-term markets where multiple large users and multiple power plants are participated together; using a long-term contract decomposition algorithm to acquire daily electricity load of the large users who participate in the direct trading; establishing and solving a monthly capacity market trading model, and acquiring a maximum capacity per hour of a generator set of each power plant and a possible monthly starting up plan; rolling the solving day-ahead market trading model one day in advance, completing day-ahead trading between the power plants and the larger users and acquiring a power plant unit output curve and a large user daily electricity demand. In the invention, a long-term trading market and a day-ahead trading market of the power plants and the large users can be effectively combined, and direct trading between the power plants and the large users is simulated so that multi-time-scale user direct trading market analog simulation is realized.

A web-based stock market simulation educational tool provides a dynamic, interactive, stock market simulation educational tool. Participants create companies, research each other's companies, and manage their own portfolio as they perform bank transactions (loans and Certificates of Deposits) and buy and sell shares which influence the price of each company. Teachers also known as instructors and students also known as participants or investors participate in the educational process. The currant invention will include an investment option for students that mirrors or indexes the entire market within the overall simulation.

The invention belongs to the field of power market economic dispatch of power system disciplines, and more specifically, relates to an electric energy market simulation method for power grid safety and market economy. The method includes the steps of first, conducting statistics on basic data of a power grid; verifying the rationality of the data, proceeding to the next step if so, and returning back to the previous step otherwise; then, based on the data after the rationality is verified, transforming an electric energy market simulation optimization problem into the construction of an optimization model with a goal of minimizing the cost of electricity purchase and a constraint of the power grid operation safety requirements; next, solving the constructed model; and analyzing the feasibility of the solution, and finally, analyzing and arranging optimization results. The electric energy market simulation method for the power grid safety and the market economy according to the invention comprehensively considers the requirements of the grid operation safety and the requirements of the market operation economy, so that the process can be simplified and the efficiency of the market decision-making can be improved.

A method of providing a market simulation service includes: a) receiving a request for predictive information regarding a subsequent competitive bidding process in an existing marketplace, the existing marketplace having been previously used for like competitive bidding processes, the request being received from a user device associated with a prospective participant in the subsequent competitive bidding process, the request including auction parameters and simulation parameters; b) obtaining historical marketplace data from a data storage device, the historical marketplace data associated with the existing marketplace and the plurality of like competitive bidding processes; c) processing the historical marketplace data using a statistical sampling algorithm and a resampling technique based on the auction parameters to determine a distribution function for the like competitive bidding processes; and d) simulating the subsequent competitive bidding process using an evolutionary algorithm based on the simulation parameters and the distribution function to derive the predictive information.

According to an embodiment, a market conditions simulation device distributes a simulation time which proceeds faster than actual time to a market simulation device. The market conditions simulation device writes recent market conditions information including the same time as the simulation time to a second memory. The market conditions simulation device distributes the recent market conditions information to an algorithm processing device. The algorithm processing device makes an order placement assessment of the distributed recent market conditions information, and writes order placement information wherein the time within the recent market conditions information is appended to the obtained order placement description to a first memory. The algorithm processing device transmits the order placement information to the market simulation device. The market simulation device creates market conditions board information from the recent market conditions information including the same time as the simulation time and writes the market conditions board information to a third memory. The market simulation device makes a contract assessment of the market conditions board information and the order placement information, and transmits the obtained contract information.

An invention is referred to systems and methods of digital calculations or data processing, specifically designated for special functions, for systems and methods, which allow a consolidated search for information and data base structuring in particular, collection of data and its registration in a digitalized form for the further input into hardware-software system and displaying on devices of users on demand. The system and method use hardware-software system including a hardware module and a data processing module. The hardware module contains central server and a complex of external devices of users, connected with the mentioned central server by data interchange means. The central server is connected with external e-mail servers by e-mail sending / receiving media. The data processing module is being adapted to provide of transforming the received electronic circular letters into a electronic sea shipping contract, containing data on cargo for transportation and data on vessel for transportation, as well as conditions for carriage of freight and port of departure and port of destination date using information, received from the personal accounts of participants of open freight market and complex of personal accounts of transport infrastructure subjects. The central server is connected with at least one database, which contains data of the generated electronic sea shipping contracts, associated with the received applications and / or the personal accounts of users.

The invention relates to a power grid planning method oriented toelectric power spot market and based on carbon emission and source network load storage interaction. Compared with the prior art, the invention solves the defect that the power grid planning method cannot meet the actual use requirement. The method comprises the following steps: acquiring historical data of a power grid; analyzing a blocked line of the power grid; calculating power grid data before upgrading; constructing a power grid planning decision model; and solving the power grid planning decision model. According to the invention, a blocked line Lagrangian multiplier analysis method is adopted to analyze, sort and position blocking conditions in a power grid so as to determine addresses where a power transmission line needs to be upgraded and a power supply and energy storage need to be newly built or added, a planning decision-making target and a market simulation operation model are combined, and multiple indexes such as reliability, environmental protection and economy are combined, so that an optimal planning result is obtained.

The invention provides an electricity market simulation optimization and operation method and system and a simulation platform, and the optimization method comprises the steps: building an electricity seller declaration model based on all kinds of information sent by an electricity market and considering that an electricity seller takes the minimum comprehensive cost as a target, and obtaining an electricity seller load declaration curve; establishing a power generator declaration model by considering that a power generator takes power generation income maximization as a target; simulating a power generator decision quotation by adopting an intelligent quotation algorithm to obtain a power generator electricity price declaration curve. According to the power generation output declared by a power generator, the power price declaration curve of the power generator, the power quantity declared by an electricity seller and a load declaration curve of the electricity seller, a multi-type power supply access simulation operation system is considered, system balance, power grid safety and unit operation constraint conditions are considered, and a safety constraint unit combination and a safety constraint economic dispatching model are established, and an optimal solution is obtained through a mixed integer programming algorithm.

The invention relates to a finite-state-machine-based electric power simulation software time sequence state conversion method, comprising: step A) determining the type and the content of a simulation market including step A-1) determining the market type of the market to be simulated, or rather, whether the market has an electric power market, an auxiliary service market, a capacity market and a power transmission right market; and A-2) determining the functions of the various markets and the contained services, especially clarifying the content contained in the auxiliary service market; and step B) according to the finite state machine, determining the time sequence of the market including B-1) determining all the state sets of the market; B-2) determining all the input sets of the market; and B-3) determining the state conversion rule. The method and the system of the invention are based on a finite state machine to realize the electric power market state conversion. In the practical applications, the modes of a state machine are used at a higher frequency, and can be used for state switching of different markets, especially under the condition of repetitive switching of the market states. The method and the system are highly automatic and can work without the guard of people. Therefore, the method and the system are suitable for a multi-node system for medium and long term market simulation.

Disclosed is a balanced operation method of a main and auxiliary combined system under the participation of the load aggregation main body, the main and auxiliary combined system is accessed to an adjustable load resource, and each market main body adjusts respective unit output and the adjustable load resource according to a market equilibrium solution to enable the main and auxiliary combined system to operate in a balanced manner; a load aggregation main body is taken as an object, and the market operation capability of the load aggregation main body is explored through main-auxiliary combined market simulation analysis; the method comprises the following steps: firstly, establishing an electric energy market and frequency modulation auxiliary service market transaction framework under the participation of a load aggregation main body, analyzing a market participation mode of the load aggregation main body and the cost of each market main body, and establishing a market multi-period balance model under the participation of the load aggregation main body based on a game equilibrium theory to obtain an equilibrium solution of the balance model; the load aggregation main body participates in competition of main and auxiliary markets, and has a peak load shifting effect on loads and active electricity prices, so that the frequency modulation capacity electricity prices of the system are reduced, and the reduction of the down-regulation capacity electricity prices is more obvious; and the purchase cost of the system frequency modulation service is reduced.

The invention discloses a method for constructing a typical scene library of a centralized spot market. The method comprises the following steps: extracting bidding behavior influence factors of a power producer; establishing a segmented bidding curve basic model of the power producer; determining a probability distribution model of the bidding electric quantity and the bidding price of each section of the segmented bidding curve; sampling based on the probability distribution model, and generating a typical market bidding scene of the power producer; generating a market boundary typical scene based on source network load characteristics of the power grid; combining and reducing the market bidding typical scene and the market boundary typical scene, and constructing a typical scene library for centralized spot market operation characteristic analysis. The method can construct a grouped scene set and generate a typical scene library according to different source network load characteristics and different bidding scenes of of the power producers, facilitates the construction of a market simulation multi-scene comparison analysis technology, displays the difference between different scenes, is of great significance in analyzing the operation characteristics of the centralized spot market and improving the safe operation level of the power grid under the market condition.

The invention discloses a carbon market transaction behavior modeling method integrating real participants and computer agents, and belongs to the technical field of power systems and automation thereof. By the carbon market transaction behavior modeling method, according to driving variables and decision variables of the participants in the bilateral concentrated carbon transaction process, a decision probability model for the computer agents is established; then hybrid simulation is performed in the coexistence of the computer agents and the real participants, and on the basis of statistical calculation of a large number of samples, the decision model for the computer agents is updated, therefore, multi-round iterative simulation is performed; through verification of the convergence of a decision model for the participants in the multi-round simulation process, whether the simulation is terminated is judged, and the converged decision model is used for substituting decision behaviors of a group of the real participants. By the carbon market transaction behavior modeling method, sensitivity analysis on key carbon market parameters can be effectively supported, and a sand table deduction tool is provided for the carbon market participants; the carbon market transaction behavior modeling method can be popularized in other bilateral market simulation analysis.

The invention provides a market simulation information interaction method and device. The invention relates to the technical field of market simulation information interaction. According to the methodprovided by the invention, the quantity of enterprise simulation in market simulation is increased by mainly utilizing a modern information interaction technical means. The specific machine terminalgenerates machine data to simulate an enterprise. Meanwhile, the manual terminal acquires manual data to participate in enterprise simulation, and circulation of market simulation information is realized by utilizing three-party information interaction of the machine terminal and / or the manual terminal, the first server and the second server, so that the number of enterprise samples of market simulation is increased, and the credibility of an enterprise simulation result is improved.

The invention discloses a market simulation system. The market simulation system comprises an input port and an output port of a willingness-to-pay scaling node, the input port is used for inputting an input product array and a willingness-to-pay matrix, the willingness-to-pay matrix is used for representing willingness-to-pay of at least one virtual client for every product, the willingness-to-pay scaling node is used for scaling the willingness-to-pay matrix until a forecasting sale number of a focus product to reach a fixed number or target market share, the output port is used for outputting an output product array and an outputted purchased product matrix, the output product array is used for representing the forecasting sale number of every product, and the outputted purchased product matrix is used for representing willingness-to-pay of the virtual clients for every product and willingness-to-purchase products. The market simulation system is capable of creating a real market simulation model according to a market of a real world for market analysis and product marketing.

The invention provides an investor emotion index construction method, a heterogeneous subject market simulation method, equipment and a medium. The investor emotion index construction method comprises the following steps: selecting a plurality of first-class investor emotion indexes from candidate investor emotion agent indexes through correlation analysis; mining and analyzing the stock comment text through a text mining method to obtain a second type of investor emotion indexes; and performing principal component analysis on the plurality of first-class investor emotion indexes and the second-class investor emotion indexes to obtain the investor emotion index. The investor emotion index provided by the invention is constructed by principal component analysis of a traditional investor emotion agent index and an investor emotion index obtained by text mining, and the investor emotion index can more effectively realize measurement of the investor emotion.

The invention discloses a simulation training system for a power market. The simulation training system comprises a function menu module, a function module and a storage module, the function menu module comprises a function menu control, and the function menu control is used for calling the corresponding function module according to the received control instruction; the function module comprises apractical operation course unit, a theoretical course unit and an examination evaluation unit; and the storage module is used for storing the power grid management simulation model, the operation scene simulation model, the transaction simulation model, the market simulation model, the course model and the test question bank which can be called by the function module. According to the simulationtraining system for the power market disclosed in the invention, the operation stability of a power system and the operation standardization of related personnel can be improved, and the updating iteration of a market operation management technology is promoted.

The invention discloses a market simulator and a network market simulator system. The market simulator includes: a graphical user interface which is intended for collecting data from a user, providing areas for the user to deploy one or a plurality of icons which corresponds or correspond to a market assembly so as to establish and analyze a market model, and displaying the output of a processor; a storage device which is intended for configuring the processor; a configured processor which is intended for inputting one or a plurality of parameters of one or a plurality of products of a market, and generating a market model data structure which is associated with the parameter or parameters, realizing profit maximization engine; the profit maximization engine is intended for finding the balance point of profit maximization based on the market model data structure, and outputting a market index which is applicable to the balance point of profit maximization. According to the invention, the market simulator allows the user to freely combine icons, establish and analyze the market model on the basis of user's requirements, can obtain the balance point of profit maximization, and provides reasonable basis for marketing decision-makers to make decisions related to marketing.

The invention discloses a market simulated optimization system. The system comprises a memory and a configured processor; the memory is used to configure the processor; and the configured processor isused to input one or multiple parameters of one or more products in the market, generate a data structure associated with the parameters, finding a benefit maximizing balance point based on the datastructure, and output a market index suitable for the benefit maximizing balance point. Thus, the system helps analysis on the market, reasonable basis is provided for a marketing decision by a marketing decision maker, and the marketing decision maker is helped in making reasonable decisions.

The invention discloses a market simulation product ranking system which comprises an input port for inputting a product array and inputting a payment matrix, a product ranking node for acquiring a set of products in a market and determining a ranking of each virtual customer for the set of products according to the product array and the payment matrix, an output port for outputting a statisticalresult, and a competitor ranking summary, an expected value and a ranking product matrix, wherein the statistical results include the ranking of each product in the set of products for all virtual customers and a number of competing products of target products in top N products in a rank. According to the system, the disadvantages of expensiveness and time consumption when an information marketermakes a marketing decision with the help of consumers in the prior art are solved, the information marketer can be helped to determine competitive products of the target products, customer preferencesare grasped, the payment willingness of each customer is converted into a net consumer surplus value, and thus the customer ranking of each product in the market is analyzed.

The invention provides an electricity market parameter influence index sensitivity analysis method and device, and a storage medium, and belongs to the technical field of electricity markets. The problem that the clearing result is influenced by parameters in the prior art is solved. The method comprises the following steps: S1, building an electricity market simulation system, and building an evaluation index sensitivity model in the simulation system; S2, inputting economic data, electric quantity data and operation data into the evaluation index sensitivity model, collecting parameter information, and using the evaluation index sensitivity model to construct an evaluation curve graph; S3, setting a plurality of parameter change values for each parameter, inputting the plurality of parameter change values into an evaluation index sensitivity model, and drawing a sensitivity curve formed by an economic evaluation index, an electric quantity evaluation index and an operation evaluation index on the evaluation curve graph by the evaluation index sensitivity model according to the parameter change values; and S4, analyzing the sensitivity curve by the power market simulation system, and outputting an optimized result aiming at the sensitivity change of the evaluation index. The method and the device have the advantages of analyzing and optimizing results and the like.

The invention discloses a market simulation system for competing products, which includes: an input port, a price adjustment node and an output port; the input port inputs an input product array and a willingness to pay matrix of a group of products; the group of products includes focus products and multiple Competitive products; the price adjustment node selects at least one target competitive product from multiple competitive products, and adjusts the prices of the focus product and at least one target competitive product according to the sales strategy to generate multiple sets of current product arrays; the price adjustment node A set of current product arrays is sequentially matched with the willingness to pay matrix to generate multiple sets of result data; each set of result data includes an output product array; the output port is used to output the multiple sets of result data. In the process of adjusting the price of the focus product, the present invention considers the reaction of competitors, and the obtained result data can accurately reflect the market, and provide reference for suppliers to reset product prices.

The invention belongs to the technical field of electric power automation, and discloses an electric power retail market simulation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining user characteristic data in a user characteristic model; acquiring data in an electricity selling company model and an electricity selling company package model; and according to the user characteristic data, the electricity selling company data and the electricity selling company package data, performing power retail market contract signing simulation to obtain a power retail market contract table. According to the invention, simulation operation of the power retail market is realized, and market games and income conditions of power selling companies in the power retail market can be simulated.

A server computing device generates an input data set by determining a set of user information, a set of market index information, and available annuity products. A machine learning processor executes a price optimization module to traverse a computer-generated annuity matching model and select a subset of the available annuity products that are associated with product characteristics that match user objectives and generate annuity product recommendations for the user. The processor executes a market simulation module to traverse a computer-generated annuity perfor-mance prediction model using the annuity product recom-mendations and predictions of market performance to gen-erate simulated outcomes for each of the annuity products. A client device generates a graphical user interface for display to the user via a display device, the graphical user interface including visual representations of each of: the annuity product recommendations and the simulated out-comes.