8 results about "Market model" patented technology

The invention belongs to the field of electric power markets, and discloses a day-ahead electric energy-inertia combined market transaction method considering inertia safety, and the method comprises the steps: predicting the next-day load of a power grid through employing an improved random forest method, constructing a power balance constraint, carrying out the next-day wind and light output prediction through employing an ARIMA-LSTM method, and constructing a new energy unit output constraint; evaluating a minimum inertia demand based on a system frequency response model and establishing an inertia demand constraint; based on an Aumann-Shapley method, performing inertia support responsibility allocation according to marginal contribution inertia suppliers of various types of resources; and in combination with the above conditions, minimizing the total cost of the power generation side considering the electric energy transaction and the inertia service transaction is taken as a target function, the market model is solved, and a clearing result is determined. A power generation side unit is guided to reasonably make a next-day power generation plan through a marketization mechanism, electric energy supply is guaranteed, and related subjects are stimulated to provide inertia services.

The invention discloses a data warehouse model design method, and belongs to the technical field of data warehouse modeling. According to the method, a dimension modeling method is adopted to construct and analyze a mart model, data is organized into a non-standardized relation model, and the relation between tables is defined through keywords and foreign keys. And designing a dimension table system comprising a product dimension, a calendar day dimension, an institution dimension, an insurance policy attribute dimension and a customer dimension, and a fact table system comprising an insurance claim settlement analysis fact table, a payment analysis fact table, a claim settlement efficiency analysis fact table and a corresponding intermediate fact table. The analysis subject domain data is formatted into a star model or snowflake model, where the analysis fact table is a lightly summarized transactional fact table, and the intermediate fact table is a versioned historical table. According to the method, repeated data construction is avoided through a unified modeling method, and the cost is reduced; an efficient query analysis function is provided by optimizing a model structure; and the data traceability is ensured through versioning management.

The invention relates to the technical field of smart power grids and energy transaction, and discloses a micro-grid P2P electric energy transaction bidding and matching optimization method, which comprises the following steps of: constructing a micro-grid bilateral P2P electric energy transaction market model, defining a buyer, a consumer, as an energy-deficient micro-grid and a seller, as an energy-rich micro-grid, and establishing a micro-grid bilateral P2P electric energy transaction market model; designing a transaction matching and settlement mechanism based on the second price auction mechanism; modeling a transaction environment in the market model as a Markov decision process, introducing a multi-agent reinforcement learning algorithm under a Markov decision process framework, and learning and generating a dynamic bidding strategy oriented to multiple rounds of transactions; in the market matching stage, the dynamic bidding strategy of the producer and the consumer is input into the microgrid bilateral P2P electric energy trading market model, a settlement list is output, the problems that the bidding strategy is static and the market efficiency is low in a traditional trading method are solved, and the method has high adaptability and generalization ability and is suitable for scenes such as intelligent power grid demand side management and energy internet.

The invention discloses a multi-type energy storage day-ahead peak regulation plan compilation method and system, equipment and a medium. The method comprises the steps that equipment physical data and market-oriented unit declaration data are acquired; generating a system operation data set through cleaning, checking and packaging merging; a prospective pre-clearing scheduling model is constructed, and a marketization unit clearing result is obtained by solving output arrangement under thermal power unit start-stop and segmented quotation; constructing a multi-type energy storage day-ahead peak regulation optimization model, and obtaining a non-marketization energy storage peak regulation plan by optimizing non-marketization energy storage operation; and obtaining a peak regulation plan compilation system through integrated compilation and standardized output. According to the method, the whole-process connection of the market operation boundary and the non-marketization unit scheduling is realized, and the smooth transition of power production from a plan mode to a market mode and the efficient calling of energy storage resources are supported.

The application relates to the field of power market analysis, and discloses a power demand side management optimization method based on electricity-carbon coupling and dynamic carbon emission, which comprises the following steps: obtaining multiple demand response schemes and multiple energy generator unit data in a power market; constructing a multiple energy generator unit market model according to the multiple energy generator unit data in the power market; constructing a two-stage power market clearing model based on the multiple energy generator unit market model, wherein the two-stage power market clearing model comprises a first-stage model and a second-stage model, the first-stage model is a market planning and dispatching model, and the second-stage model is a demand response model; inputting each demand response scheme into the two-stage power market clearing model in sequence to obtain market operation parameter analysis results under each demand response scheme; and obtaining market performance analysis and demand response decision through comparison of all market operation parameter analysis results. The application can realize expansion of implementation comparison of different market-oriented demand response schemes.

The invention relates to a quantity and price reporting method considering distributed fault risk and adjustable capability scarcity. The method comprises the following steps: calculating the fault probability of distributed resources at the current moment; calculating the clearing power of the distributed resource m in the day-ahead electric energy market; a scarcity factor and the upper adjustable capacity, the lower adjustable capacity and the scarcity price of the distributed resources m in the intra-day stage are calculated; and constructing an intra-day electric energy and auxiliary service market model, and dynamically clearing the power of the resources. According to the method, the operation state of the distributed resources and the action mechanism of the fault characteristics are analyzed, the potential fault risk of the distributed resources is evaluated, dependence on the high-fault-probability resources is reduced, the resource scheduling structure is optimized, and the power supply reliability is improved; through distributed resource scarcity pricing and adjustable capacity evaluation based on marginal cost characteristics, market pricing can reflect the adjustable capacity and the opportunity cost of the resources, and the resources are guided to reasonably participate in different markets.

This invention discloses a method and apparatus for joint optimization evaluation of green certificates and green electricity systems under a unified clearing market, relating to the fields of electricity market and energy economics. The method includes: collecting multi-source data from the electricity market and dispatch system; after preprocessing and verification, unifying the clearing results and unit markings of green certificates and the all-weather green electricity market to form shared standardized data; based on this, formulating collaborative rules, timing sequences, and shared interfaces, establishing an anti-duplication metering mechanism, and forming a standardized interaction system; building a system optimization evaluation model integrating multiple factors according to the interaction specifications, integrating the two market models and modeling them differently on a unified time axis; based on this model, implementing solutions for switching between three operating modes and comparing multiple scenarios, conducting multi-factor sensitivity analysis, and outputting results using large-scale power grid solution technology and connecting to existing systems to complete the dual-market collaborative optimization evaluation. This invention solves the problems of data conflict and duplication metering through unified data and collaborative constraints.

The invention provides a ship main size type selection design method, a medium and a terminal. The method comprises the steps of establishing a design variable based on a ship main size; establishing a ship type evaluation index and constraint function database; constructing an objective function of the evaluation indexes; introducing a genetic evolutionary algorithm to solve the objective function and obtain an optimal solution set database; and establishing a market model based on the optimal solution set, and calculating a maximum value of the market model to determine an optimal design variable. Through the method, the iterative calculation time of ship main scale type selection can be effectively shortened.