51 results about "Purchase cost" patented technology

The invention relates to the technical field of power markets and distributed energy regulation and control, in particular to a cross-market joint clearing and safety checking method, device, equipment and program product. The method comprises the steps of obtaining cost information and income information of power generation of each target aggregator; taking the cost information of each node as the input of a power purchase cost planning layer in the game model, taking the income information of an operator as the input of an income planning layer in the game model, and solving the game model to obtain a scheduling plan; checking the scheduling plan by using the security constraint condition, and determining the scheduling plan as a target plan in the clearing process under the condition that the scheduling plan meets the security constraint condition; wherein the safety constraint condition comprises constraint on power transmission section out-of-limit and constraint on deviation cost of power supply quantity. By adopting the method, the safety in the combined clearing process can be improved.

The invention discloses a power plant fire coal matching and purchasing decision-making method and system, relates to the technical field of power plant fuel management, and aims to solve the problems of high purchasing cost and low decision-making efficiency caused by low coal source and unit demand matching degree and dependence on artificial experience of an existing power plant fire coal purchasing decision-making method. The method comprises the following steps: acquiring multi-source heterogeneous data; processing the multi-source heterogeneous data to generate a standardized feature data set; inputting the standardized feature data set into an AI fusion analysis model fusing a gradient boosting tree and an attention mechanism, and outputting a cost prediction result and a key index weight; and adopting an improved hybrid particle swarm optimization algorithm, and iteratively determining an optimal solution of the four-dimensional variable of the multi-objective function through an inertia weight dynamic adjustment strategy to obtain a target purchasing scheme. The power plant fire coal matching and purchasing decision-making method provided by the invention is used for improving the matching degree of the coal source and the unit demand in the fire coal purchasing decision-making, reducing the purchasing cost and improving the decision-making efficiency.

This invention relates to the field of power system demand response technology, and provides a user demand response method based on master-slave game theory under cost control constraints. The method includes: establishing a demand response model using master-slave game theory, where electricity retailers design time-of-use pricing strategies, and electricity users respond based on a convex utility function; the utility function includes a quantification term for electricity usage satisfaction and a calculation term for electricity costs; the electricity retailers' revenue function includes four functions: user electricity costs, long-term market electricity purchase costs, current market electricity purchase costs, and conditional risk value, coupled with the characteristics of the electricity spot market and risk management requirements; proving the existence of a Nash equilibrium solution using backward induction; and optimizing the strategy based on a slime mold optimization algorithm. This invention provides important support for electricity retailers to formulate flexible pricing mechanisms and tap demand-side resources in terms of cost control for users with high response potential and optimization of peak-valley load differences.

The invention discloses a commodity information display method and device, a commodity information acquisition method and device, electronic equipment and a storage medium, in the commodity information display method, to-be-combined commodity information and combined commodity summary information are acquired, and then a to-be-combined commodity selection trigger control and a plurality of combined commodity selection trigger controls can be displayed on a to-be-combined commodity detail page. The combined commodity selection trigger control at least displays a thumbnail of a combined commodity main image and combined commodity selection cost information, and the to-be-combined commodity selection trigger control at least displays a thumbnail of a to-be-combined commodity main image; therefore, style information and purchase cost information of selectable combined commodities can be conveniently checked on the to-be-combined commodity detail page, style information of selectable to-be-combined commodities can be checked at the same time, and a user can conveniently decide whether to select the combined commodities or not based on a combined commodity selection trigger control and a to-be-combined commodity selection trigger control. And thus, the purchasing efficiency of the multiple commodities is improved.

The invention discloses a differential bidding method and system based on dynamic order aggregation, and the method comprises the steps: carrying out the multi-channel aggregation of orders, constructing an order pool group, carrying out the differential bidding (transfer bidding / reverse auction), carrying out the replacement distribution, avoiding the loss of orders, and fusing an anti-communication mechanism and cross-platform credit evaluation to guarantee the fairness and safety. The system carries out fund trusteeship through an intelligent contract, and transaction fund safety is ensured. The method is suitable for multiple scenes such as B2B, B2C, O2O, presale, customization and the like, the purchase cost, the marketing cost and the unsalable risk can be effectively reduced, and the method has remarkable economic benefits and practical values.

The invention discloses an aluminum plate strip foil processing enterprise secondary aluminum resource use profit accurate accounting method, and the method specifically comprises the following steps: S1, a single-batch secondary aluminum profit accounting method is used for calculating the independent profit generated in the use process of secondary aluminum of a specific purchase batch; s2, a monthly secondary aluminum profit accounting method used for calculating the total profit generated by monthly secondary aluminum use of an enterprise; and S3, a cross-period inventory cost rolling mechanism which is used for solving the inventory cost accounting problem during cross-month use of the secondary aluminum purchase batch and ensuring that the historical purchase cost continuously affects subsequent monthly profit calculation. The beneficial effects of the invention are that: accurate traceability: profit independent accounting of secondary aluminum of a specific purchase batch is realized; dynamic response: the influence of market fluctuation on profit is reflected in real time through an SMM price linkage mechanism; cost continuity: inventory cost rolling calculation eliminates inter-period profit distortion; and decision support: quantifying economic benefits of different secondary aluminum suppliers / purchase time points, and guiding purchase strategy optimization.

The invention discloses an enterprise internal acquisition cost optimization decision support system based on big data analysis. The system comprises a data aggregation and integration module, a purchase behavior feature extraction module, a cost driving factor deconstruction module, a supplier multi-dimensional evaluation module, a purchase strategy intelligent customization module, an enterprise purchase data warehouse and an enterprise purchase supervision terminal. The purchase strategy suitable for the enterprise is intelligently generated by integrating the purchase behavior characteristics, the cost driving factors and the supplier evaluation result, the purchase cost composition and the dynamic change can be accurately informed, scientific and reasonable purchase decision suggestions are provided for the enterprise, the purchase cost is effectively reduced, and the purchase efficiency is improved. And the execution effect of the purchasing strategy is monitored, evaluated and fed back in real time, so that each link of the purchasing process can be monitored in real time, potential problems can be found and solved in time, the purchasing efficiency and quality are improved, the optimization of the purchasing cost and the maximization of the overall benefit are realized, the purchasing supervision difficulty of an enterprise is remarkably reduced, and the intelligent level is high.

The invention relates to a closed-loop purchase management method and system based on secondary bidding and dynamic evaluation, and belongs to the technical field of purchase management. At least three suppliers are screened out from candidate suppliers through competitive negotiation, and value-added service commitments of the suppliers are locked; during actual purchase, the entered supplier performs real-time secondary bidding, and the purchaser selects the optimal price based on the quoted price and the service; afterwards, quantitative ranking is carried out on the performance of the suppliers through a full-period dynamic evaluation system, and last position elimination and automatic position complementing are carried out according to the ranking. According to the invention, through constructing a closed-loop management system of negotiation, secondary bidding, dynamic evaluation and elimination and space complement, refined purchase of price real-time change objects such as air tickets and hotels is realized. The method can effectively stimulate the continuous competition of suppliers, significantly reduce the purchase cost and supporting expenditure, transfer the risks of withdrawing, changing, pick-up and the like to the suppliers, comprehensively improve the service response speed and quality, and enhance the purchase flexibility and the supply chain management efficiency.

This application relates to a pricing method and apparatus for charging and discharging at electric vehicle charging stations within industrial and commercial parks. The method includes: determining the charging and discharging energy cost and battery aging cost for each vehicle model within the target park; constructing a decision model for the owner's charging and discharging power curve for each target electric vehicle under each vehicle model based on charging and discharging price information, charging and discharging energy cost, and battery aging cost; determining the electricity market purchase cost, owner electricity interaction cost, and the number of target electric vehicles corresponding to each vehicle model within the target park; and constructing and solving an optimization decision model for the target park based on the owner's charging and discharging power curve decision model to obtain the target charging and discharging price information for the target park. This solves the problems of existing charging station pricing methods that do not use game theory to model the conflict of interest among parties, and that are unable to effectively consider battery aging costs, thus failing to provide reasonable pricing for electric vehicle services.

The invention discloses a double-layer optimization method and system for a new storage complex to participate in a two-stage electricity market, and relates to the technical field of electricity transaction, and the method comprises the steps: obtaining the prediction data of wind power and photovoltaic power, market data, and the state of a hydropower unit in an inter-province and intra-province two-stage electricity market; constructing a lower-layer optimization model with the net income maximization of the new storage complex as a target, constructing an upper-layer optimization model with the minimization of the power purchase cost and the CVaR risk cost as a target, converting and combining the lower-layer optimization model to the upper-layer optimization model to form a single-layer MILP model, and outputting an optimal scheduling plan; identifying the potential execution deviation of the medium and long term contract based on the prediction data before operation, and executing a corresponding contract adjustment strategy; and after the settlement period is finished, reconstructing a profit distribution scene based on the actual operation data, and obtaining the income of each member. According to the invention, a risk management mechanism is introduced, so that an operation strategy can effectively avoid a huge loss risk caused by extreme electricity price fluctuation while pursuing high income.

The utility model discloses a transfer jacking and transplanting device for AGV conveying and robot grabbing, and relates to the technical field of AGV conveying and robot grabbing transfer, the transfer jacking and transplanting device comprises a base and a jacking mechanism, and the jacking mechanism is fixed in the middle of the base. According to the design, the tool jacking function is achieved, the position needed for grabbing the bottom of the tool is reserved, the optimal effect of automatic grabbing and placing is achieved, the purchase cost of accessories is reduced, the functions of all the accessories are reasonably applied, and therefore low-purchase-cost multifunctional cleaning application is achieved, the occupied space of an installation site is reduced, and the installation efficiency is improved. The corresponding personnel investment cost is reduced, the transportation / production / purchase / installation cost is reduced, the utilization rate of the cleaning device is increased, the problems that AGV batch tools are conveyed to a transfer transplanting device, and grabbing devices are used for taking and placing in batches are solved, the supply problem caused by the low AGV conveying efficiency is solved, and through program standardization, the production efficiency is improved. Program debugging is reduced, and multi-machine unified mutual test can be achieved.

The invention discloses an integrated energy system optimization operation system and method considering demand response under a carbon transaction mechanism. The method comprises the steps of optimizing an initial electrical load value and an initial thermal load value of an integrated energy system according to a preset price elasticity matrix and an adjustment weight coefficient to obtain a corresponding electrical load optimization value and a thermal load optimization value; equivalently optimizing the electrical load optimization value and the thermal load optimization value by using a preset equivalent replacement proportionality coefficient to obtain an equivalent electrical load optimization value and an equivalent thermal load optimization value; the total carbon emission amount is obtained according to the output power of the gas equipment and the unit power emission factor, and the carbon market transaction cost corresponding to the total carbon emission amount is obtained through a carbon transaction cost expression; constructing a total cost minimization objective function according to the operation and maintenance cost of all the devices, the preset energy purchase cost and the carbon market transaction cost; and setting a constraint function optimization total cost minimization objective function based on the basic operation data, the equivalent electric load optimization values and the equivalent thermal load optimization values of all the equipment.

The invention provides a cost accounting method and system for online advertisement putting, and relates to the technical field of internet advertisement putting, and the method comprises the steps: obtaining the number of newly-added users of each channel in a specified time period; on the basis of the preset unit price of each channel and the obtained number of the newly-added users, the theoretical purchase cost of each channel in the specified time period is obtained through calculation; obtaining the actual purchase cost of each channel in a specified time period; and comparing the actual buying cost with the theoretical buying cost to obtain a cost accounting result of each channel. In the cost accounting process, each specified time period is used as an accounting node, and an independent calculation process is set for each channel, so that a calculation script does not need to be modified, the accounting time is saved, and the purpose of improving the accounting efficiency is achieved. Meanwhile, sharing logics of the cost per capita in each channel are not crossed and do not interfere with each other, so that the accuracy of cost accounting is guaranteed.

The invention provides a power purchase method based on inter-provincial spot goods power purchase risk grading evaluation and related equipment. The method comprises the steps of obtaining risk evaluation data corresponding to a first power purchase scheme based on inter-province spot power purchase risk grading evaluation indexes; wherein the risk grading evaluation indexes comprise a first-level risk index, a second-level risk index and a third-level risk index; performing standardization processing on the risk evaluation data to obtain standardized risk evaluation data; determining a third-level risk score corresponding to the third-level risk index based on the standardized evaluation data; based on the third-level risk weight and the third-level risk score of the third-level risk index, obtaining a second-level risk score of the second-level risk index; weighting the second-level risk score based on the second-level risk weight of the second-level risk index to obtain a first-level risk score about the first-level risk index; and optimizing the first power purchase scheme based on the first-level risk score and the power purchase cost to obtain a target power purchase scheme for power purchase.

The invention discloses an optimization method for participation of a high-energy-consumption industrial load in demand response, and the method comprises the steps: constructing a revenue function for participation of a high-energy-consumption industrial user in demand response according to the production revenue, excitation revenue and shutdown cost of the high-energy-consumption industrial load, and calculating the production revenue according to the yield of a product of the last process of the high-energy-consumption industrial load, according to the response quantity fed back by the high-energy-consumption industrial load, the excitation income is calculated, and according to the operation state of the continuous process in the high-energy-consumption industrial load, the shutdown cost is calculated; an operation cost function of the power grid operator is constructed according to the response compensation cost, the power purchase cost and the load shedding cost of the power grid operator, the response compensation cost is calculated according to the response amount fed back by the high-energy-consumption industrial load, the power purchase cost is calculated according to the power purchase amount of the power grid operator, and the load shedding cost is calculated according to the load shedding amount of the power grid operator; and according to the revenue function and the operation cost function, adopting an iterative algorithm based on a golden section method to calculate a subsidy incentive update value.

The embodiment of the invention discloses a multi-dimensional cost determination method and device, equipment and a medium. The method comprises the steps of obtaining a to-be-checked cost service, wherein the to-be-checked cost service comprises a to-be-purchased commodity; determining a business dynamic cost factor corresponding to the business to be subjected to cost accounting, wherein the business dynamic cost factor comprises a purchase dynamic factor, a storage dynamic factor and a travel dynamic factor; obtaining historical data corresponding to the to-be-checked cost business, wherein the historical data comprises historical data corresponding to the to-be-purchased commodity; and determining a target allocation strategy corresponding to the purchase dynamic factor, the storage dynamic factor and the travel dynamic factor based on historical data corresponding to the to-be-purchased commodity, and determining the purchase cost corresponding to the to-be-accounting cost business based on the target allocation strategy. According to the embodiment of the invention, the refinement degree and accuracy of cost accounting are improved, and the cost competitiveness and resource configuration efficiency of an enterprise in a complex market environment are enhanced.

The application discloses a liftable intelligent floor grading box, a mounting method and a control method thereof. The liftable intelligent floor grading box comprises a grading box, a climbing track, a power device, a cable, a standard section, a supporting wall section and a control unit, can freely match the power floor of a grading box, can be called and served at any time, can reduce the purchase cost and the maintenance cost, can be customized according to the floor height, can be installed at one time, and can be used in the whole engineering construction process.

The utility model relates to the technical field of polishing, in particular to a combined polishing device. The combined polishing device comprises a polishing device body, the polishing device body comprises a driving assembly, a connecting assembly and a polishing assembly, one end of the connecting assembly is connected with the driving assembly, the polishing assembly is detachably connected with the other end of the connecting assembly, and the driving assembly is detachably connected with the connecting assembly. Through the design that the driving assembly and the polishing assembly are detachably connected with the connecting assembly respectively, assembly replacement and cost during maintenance are simplified, a user can replace a fault assembly without replacing the whole device, maintenance cost is reduced, meanwhile, the user can rapidly replace the driving assembly according to the machining precision requirement, and the machining efficiency is improved. The polishing device adapts to various working scenes, the requirement for purchasing various precision devices is reduced, the purchasing cost is effectively reduced, and the management process is simplified.

This invention provides a method and system for optimizing electricity purchase plans on the retail side based on load fractal characteristics, belonging to the field of electricity market technology. This invention extracts load fractal characteristics reflecting their correlation features by performing modal decomposition on historical load and bidding data; analyzes electricity market rules to form constraint units and identifies risk-sensitive nodes that cause fluctuations in electricity purchase costs; performs perturbation correction on the fractal characteristics based on these sensitive nodes to generate corrected load forecast results; maps the forecast results to the constraint structure to construct the correlation topology between load characteristics and electricity purchase costs; further extracts the cost sensitivity distribution, establishes a hierarchical mapping model, performs structured optimization, and outputs the electricity purchase plan. This invention improves the responsiveness of electricity purchase strategies to market changes and the level of cost control under complex market conditions.

The invention relates to the technical field of inventory management, and particularly provides an equipment spare part inventory optimization method and device based on fault prediction and electronic equipment. The method comprises the steps of predicting a fault probability of an equipment spare part in a preset ordering period through a deep learning model according to historical operation data of target equipment corresponding to the equipment spare part and fault record data of the equipment spare part; based on the fault probability and the historical warehouse-out data of the equipment spare parts, calculating a target demand quantity of the equipment spare parts in a preset ordering period; based on the target demand quantity, constructing an equipment spare part inventory optimization function; wherein the target of the equipment spare part inventory optimization function is that the sum of the purchasing cost, the ordering cost and the holding cost is minimum; and solving the equipment spare part inventory optimization function to obtain the ordering number of the equipment spare parts in the preset ordering period. According to the technical scheme provided by the invention, the inventory management cost can be reduced under the condition of ensuring the stable operation of the power distribution system.

The application discloses a multi-user group purchase collective procurement bidding method and system, wherein the multi-user group purchase collective procurement bidding method comprises the following steps: generating a market price prediction curve of each category and a category pair joint supply reverse index; processing real-time arrived user group purchase demand and generating a demand cumulative quantity prediction sequence and a demand time elasticity distribution diagram; coupling and analyzing the price prediction curve and the demand time elasticity distribution diagram to solve optimal elasticity window parameters with the lowest expected total procurement cost as the target; encapsulating a bidding demand package and executing bidding when the window is cut off; performing income allocation based on an incremental Shapley value approximation method and generating a collective procurement order; and verifying the effectiveness of a joint scheme through cross-category price coordination degree scoring and dynamically adjusting a joint group purchase combination scheme by using an incremental greedy algorithm. The application solves the problems that the existing method ignores price timing, lacks a cross-category unified decision-making framework and has a high calculation complexity in a dynamic environment.

The invention discloses a wholesale and retail market price conduction optimization method considering risk allocation. The method is used for solving the defects of a price conduction mechanism in an existing electricity market in the aspects of risk collaborative quantification and allocation. According to the method, a double-layer optimization model with minimization of electricity purchasing cost and maximization of retail benefits of an electricity selling company as targets is constructed, a conditional value-at-risk is introduced to quantify cost deviation caused by market uncertainty, and Monte Carlo simulation and K-means clustering are adopted to process randomness of spot electricity price and user load. In the model, various conditions such as electricity purchase balance, real-time market deviation, retail package electricity quantity and electricity price constraints, user electricity consumption behaviors and peak-valley difference limitation are considered at the same time, and efficient solving is performed by using a CPLEX solver. According to the method, the market risk is reasonably shared between the electricity selling company and the user, the price signal conduction efficiency and the user side response capability are improved, and scientific decision support is provided for the electricity purchasing strategy and retail pricing of the electricity selling company in the electricity market environment.

The utility model belongs to the technical field of measuring devices, and particularly relates to a caliper for measuring the inner diameter of a wheel rim of a railway vehicle, which comprises a main scale, two groups of positioning assemblies are arranged on the main scale in a sliding manner, and the positioning assemblies are used for realizing reference positioning of the caliper relative to the end face of the rim. A zero-scale sliding block and a digital display mechanism are further arranged on the main ruler in a sliding mode, measuring claws are arranged on the lower surface of the zero-scale sliding block and the lower surface of the digital display mechanism, and positioning screws are connected to the positioning assembly, the zero-scale sliding block and the digital display mechanism in a threaded mode. Therefore, the positioning assembly, the zero-scale slide block and the digital display mechanism can be fixed with the main ruler. Compared with sample plate detection, the rim measuring tool can measure rims of any vehicle types, is low in purchase cost, can be used for process monitoring as a digital display type measuring tool, and is beneficial to improving product quality.

The invention discloses a method for an independent energy storage power station to participate in spot-climbing market joint bidding clearing, and the method comprises the steps: building an economic optimization model with the minimum total electricity purchase cost of a dispatching center in a spot market and a climbing market as a first target; constructing a thermal power generating unit decision-making model by taking the maximum thermal power total income of the thermal power generating unit in the spot market and the climbing market as a second target; constructing an energy storage power station decision model by taking the maximum total energy storage income of the energy storage power station in the spot market and the climbing market as a third target; taking the economic optimization model as an upper-layer model, and taking the thermal power generating unit decision model and the energy storage power station decision model as lower-layer models to obtain a double-layer joint bidding clearing model; the double-layer joint bidding clearing model is solved, a joint clearing result is obtained, and the joint clearing result is used for indicating clearing electricity price and bid winning electric quantity of the spot market and the climbing market in each time period. According to the invention, the total electricity purchase cost of the system can be reduced and the income of each electricity seller can be optimized.

The invention relates to the technical field of data processing, in particular to a dynamic correction type new energy equipment price prediction system and method, and the system comprises a data collection module, a data preprocessing module, a feature extraction module, a price prediction module and a dynamic correction module. The data acquisition module acquires equipment attribute data, supply chain related data and macropolicy data; the data preprocessing module executes normalization processing and time alignment processing to eliminate data isomerism; the feature extraction module extracts price long-term rule features and dynamically weighted sudden influence factor features; the price prediction module fuses the dual-path features to output an equipment price prediction value; and the dynamic correction module monitors the deviation between a predicted value and an actual value, and when the deviation exceeds a threshold value, feature extraction parameters are frozen and prediction module parameters are directionally updated to form a closed-loop correction mechanism. According to the method, supply chain interruption conduction time delay is solved through time alignment, emergency characterization is enhanced through dynamic weighting, rapid model calibration is achieved through incremental learning, and emergency factor response timeliness and purchase cost estimation precision are remarkably improved.

The utility model discloses a freight box rack convenient to combine, and belongs to the field of freight box racks, the freight box rack comprises four square pipes, the four square pipes are fixedly connected through four connecting strips, the outer walls of the four square pipes are each fixedly provided with two L-shaped racks, the bottoms of the four square pipes are each provided with an inserting groove, and the inserting grooves are connected with the L-shaped racks. The device comprises four square pipes, lifting rings are fixedly mounted at the tops of the four square pipes, rotating seats are fixedly mounted on the outer walls of the square pipes, connecting hook frames are rotatably mounted on the inner walls of the rotating seats, two square plates are fixedly mounted on the outer walls of the square pipes, and fixing shafts and abutting shafts are fixedly mounted on the inner walls of the two square plates. By arranging the inserting grooves and the hanging rings, the storage rack can be used as a goods shelf and can also be used as a container, the utilization rate of equipment is remarkably improved, the purchasing cost of enterprises is reduced, hoisting is convenient, and by arranging the connecting hook frame and the locking hook frame, the stability and safety of the equipment in the multi-layer stacking and long-distance transportation process are ensured; and goods are effectively prevented from being damaged.

The utility model relates to the field of household electronic drying boxes, and discloses a household electronic drying box with a flexible combined structure, which comprises at least one box body, carrying plates with the same number as the box body, at least one drawing box, drawers with the same number as the drawing box, at least one dehumidifier, a sealing bottom plate and an upper sealing assembly, the box body is a four-side square cylinder with the front, rear, left and right sides being high in height. According to the drying box, the length and the width of the plurality of drawing boxes, the plurality of box bodies, the plurality of carrying plates and the sealing bottom plate are consistent, longitudinal stacking and fixing are achieved through the screw holes, the screws and the nuts on the inner folding edges, sealing strips are arranged at the connecting positions to guarantee air tightness, and therefore a user can build drying boxes of different sizes according to needs, and articles of different sizes can be stored in a classified mode; the purchase cost is reduced, the batch manufacturing cost can also be reduced, after-sales maintenance is facilitated, and the practicability and economical efficiency of the device are improved.

The invention provides a day-ahead bidding method and device for an electric vehicle aggregator to participate in an electric power spot market, and belongs to the technical field of electric power system dispatching. The method comprises the following steps: performing flexible modeling on the electric vehicle to generate a flexible boundary scene set of the electric vehicle; generating a spot market electricity price typical scene set based on historical day-ahead and real-time electricity price data of the electric power spot market; and during day-ahead declaration, based on the flexibility boundary scene set and the spot market electricity price typical scene set, establishing and solving an aggregator day-ahead quantity report and quotation decision model to obtain an optimization result of the power and the electricity price of each bidding section in each time period. According to the method, an electric vehicle aggregator can utilize more effective information in a quantity reporting and quoting mode when facing uncertainty of electricity price prediction, electricity purchasing cost and risks of all links are strategically reduced, and electric vehicles are promoted to efficiently participate in operation regulation and control of an electric power system under a market mechanism.

Periodic double auction (PDA) setting is where buyers of the auction have multiple (but finite) opportunities to procure multiple but fixed units of commodity. The goal of each buyer participating in such auctions is to reduce their cost of procurement by planning purchase across multiple rounds of the PDA. Formulating such optimal bidding strategies in multi-agent periodic double auction setting is a challenging problem as such strategies involve planning across current and future auctions. The method and system disclosed herein addresses such setup wherein the composite supply curve is known to all buyers. Specifically, for the complete information setting, the method models the PDA as Markov game and derives Markov perfect Nash equilibrium (MPNE) solution to devise an optimal bidding strategy for the case when each buyer is allowed to make one bid per round of the PDA. The efficacy of the Nash policies obtained is demonstrated with numerical experiments.