60 results about "Electricity pricing" patented technology

A system and method are provided for remotely capturing, processing and displaying spot electricity pricing information that enable a consumer to conveniently monitor market prices and use such information to determine when and how to consume electricity. A terminal is conveniently located within the residence of the consumer, and is preferably designed to be ergonomic in its human interface, as well as aesthetically pleasing. The terminal provides a convenient, intelligent and thus useful device so as to enable the consumer to take advantage of favourable spot pricing offered by an electricity supplier using data that has already been transmitted to a smart meter, or similar data provided by an independent entity.

The invention discloses an electricity utilization arrangement optimization method for intelligent household electrical appliances. The method comprises the following steps: dividing electricity utilization time into time periods, representing the electricity utilization starting time, electricity utilization time length and electricity consumption of each intelligent household electrical appliance with time period numbers, providing an interruptible electricity utilization model and a non-interruptible electricity utilization model according to electricity utilization characteristics of the intelligent household electrical appliances, providing an intelligent household electrical appliance electricity utilization arrangement optimization model by which influence of electricity cost and electricity utilization interruption on the electricity utilization feeling of a user are simultaneously taken into account according to the electricity utilization aim of the user, and solving the optimization model by adopting a genetic algorithm, wherein new punishment electricity prices are adopted for an electricity pricing mechanism in the optimization model. According to the optimization method, the electricity utilization arrangement of the intelligent household electrical appliances can be reasonably optimized, the electricity cost can be effectively reduced, electricity peaks can be reduced or the influence of electricity utilization interruption on the electricity utilization feeling of the user can be reduced.

The invention discloses an optimized dispatching method for energy balancing of a smart distribution network. The method comprises the steps of determining peak and valley time durations of operation of a power distribution network according to results of characteristic analysis and load prediction carried out according to accessed distributed power sources, microgrids and loads; determining daily output curves and power plans of adjustable loads of the distributed power sources and the microgrids, and uniformly deploying power sources, power distribution networks, load operation states, namely, maximizing output through renewable energy sources at electricity consumption peak time under grid-connected operation of the distributed power sources; connecting remaining electricity to the network under the condition that load needs are met, charging an energy storage system at electricity consumption valley time, and power supply is carried out according to optimized dispatching results; electricity utilization is not limited at the electricity consumption valley time, and users are guided to consume electricity through a peak-valley electricity pricing mechanism. According to the optimized dispatching method for the energy balancing of the smart distribution network, under the conditions of energy conservation and emission reduction, the integrated optimizing method meeting multi-stage energy balance is established, on the basis of guaranteeing safe and reliable power supply of the smart distribution network, the proportion of digested renewable energy sources is maximized, the economy of the power distribution networks is improved, and short-term energy balance is achieved.

A wind turbine power plant comprises a plurality of wind turbines, each having a rated output and under the control of a power plant controller. The power plant also has a rated output which may be over-rated in response to one or more electricity pricing data, power plant age and operator demand. This may comprise a schedule of output set point changes which effect seasonal or intraday changes in electricity prices or which reflect aging of the power plant. It may also reflect the price of electricity on spot or futures markets. Once the over-rating of the power plant has been set, the output may be increased by over-rating individual turbines or operating turbines at rated power if the sum of the rated outputs of the turbines exceeds or is equal to the new power plant output set point.

The invention discloses a sewage treatment elevator pump optimized scheduling method, belonging to the technical field of sewage treatment. A processing unit calculates the acquired liquid level data through an optimized scheduling algorithm to obtain the number of large-power elevator pumps and small-power elevator pumps that are needed to be turned on at the present, and feeds back the result to a control unit, and at the end the control unit determines and controls the elevator pumps that are needed to be turned and off. According to the urban electricity pricing policy, the running of the sewage treatment elevator pumps is subjected to optimized scheduling, so that the energy consumption and operation cost of a sewage treatment plant can be reduced.

Disclosed is a control method for reducing a grid system peak value average load rate. Each customer conducts electricity demand response to an electricity price published by an electrical supplier so as to obtain maximized profit (the profit is defined as cost difference of electricity utilization benefit and electricity utilization paying). The electrical supplier decides the real-time electricity price according to predicted response of the customers to the electricity price so as to obtain maximum profit. For the customers, based on an aim of the maximized profit, a perfect expression exists between the optimum electricity demand response and the electricity price, and therefore each customer can rapidly reply the desirable optimum electricity demand response through the expression according to the electricity price published by the electricity supplier. For the electricity supplier, the problem of non convex optimization of the electricity price is solved according to a price control algorithm based on simulated annealing. According to the control method for reducing the grid system peak value average load rate, the conditions that an existing grid system is wavy in a large amplitude in electricity consumption between a non peak period and a peak period, and the peak value average load rate is high are effectively avoided.

PROBLEM TO BE SOLVED: To provide highly precise market price prediction data under the consideration of the congestion of a transmission line by using a statistical method from the past data concerning a support system for performing the transaction of power trade. ŽSOLUTION: This power market price prediction system predicts the congestion of a transmission line from the data of a demand prediction data storage device predicting the power demand of each bid area and the data of a transmission line data storage device connecting each of bid areas, and predicts a power market price by switching a model according to the result. Ž

The invention relates to an active power distribution network operating method based on electricity cost differentiation. According to the method, source and load coordinated operation control is conducted by means of a real-time electricity price and electricity cost differentiation electricity supply agreement, and a power distribution network has the flexible control ability of adjusting or interrupting loads of users who sign the differentiation electricity supply agreement by means of the differentiation electricity supply agreement which is characterized in different electricity cost levels and capable of achieving adjustment and interruption of loads. On this basis, dynamic adjustment of the load of the power distribution network can be achieved by means of electricity price with the real-time electricity pricing method based on expected load rate roll correction, and meanwhile, methods for prevention and control over the load rate based on adjustable loads and for correction control over the load rate based on interruptible loads are provided to solve the probable problem that the load rate does not meet restraint conditions during real-time electricity price adjustment. By the adoption of the operation method, the fluctuation of the load rate can be effectively restrained, load leveling can be achieved, and absorption of distributed generation and full utilization of distribution transform capacity are effectively guaranteed.

The invention, which relates to the field of the design of the demand-response electricity pricing mechanism of the power system, discloses a design method of a dynamic peak electricity pricing mechanism. The design method comprises: (1), a peak electricity price execution period is defined; (2), a date of a peak day is determined according to a peak day trigger condition and a peak day maximum allowable day number, and a peak time period is determined by using a peak day prediction load according to a fuzzy membership analysis method; and (3), a peak electricity price decision-making model is established by considering a demand response to a peak electricity price by a user, and a reasonable peak rate is set after the analysis and comparison. The provided method is suitable for the current Chinese situation and has the high maneuverability and generalizability.

The invention discloses a public service interaction method, a public service interaction platform and a public service interaction system for charging facilities, and relates to the field of big data. By the aid of the public service interaction platform for the charging facilitates, according to reported electricity consumption of the charging facilities in a preset time period, charging prices of the charging facilities in every time period can be adjusted, thus pressure of electric energy transmission is alleviated; according to an inquire request, for charging in an appointed area, sent by a user terminal, the position information of the charging facilities, available for charging service, in the appointed area and corresponding charging facility scheduling information are sent down to the user terminal to enable a user to select conveniently, and the charging facility appointed by the user terminal can be scheduled and processed according to scheduling selection information sent by the user terminal. The public service interaction method, the public service interaction platform and the public service interaction system for the charging facilities have the advantages that information interaction among every link in a charging process is realized, services including time-of-use electricity pricing, user inquiring, scheduling and the like can be realized conveniently, stability of a power system is enhanced, and use experience of the user can be improved effectively.

The invention relates to a multi-step charging electricity meter device control system, comprising a program initialization module, a clock and display refreshing and processing module, a communication frame command processing module, an electricity quantity computation, storage and settlement processing module, wherein the electricity quantity computation, storage and settlement processing module comprises an electricity quantity decimal event and an electricity quantity integral event; the clock and display refreshing and processing module comprises a second event, a minute event, a half-hour event, and an hour event; and the communication frame command processing module comprises a communication receiving frame event and a communication sending frame event. The multi-step charging meter device provided by the invention is a soul of a prepaid multi-step electricity pricing watt-hour meter system, a nerve center of the system, and a command and control center of the whole system. The whole system can be ensured to run correctly and reliably by adopting the control system of the invention, and accurately multi-step charging is realized.

The invention discloses a coal purchasing and power generation index prediction processing system and method suitable for a power plant, and the system comprises a price prediction module which is used for predicting the coal price and power price in a certain period of time in the future according to the coal market price information and power market price information in a historical period of time; a parameter fitting module which is used for carrying out data fitting on the current coal-fired heat value information, coal-fired price and power supply coal consumption information of the coal-fired power plant to obtain a fitting function of the power generation amount and the coal-fired purchase amount; a collaborative optimization calculation module which is used for establishing a collaborative optimization model among the income, the coal purchase quantity and the power generation quantity according to the fitting function, and carrying out collaborative optimization processing onthe coal purchase quantity and the power generation quantity according to the predicted coal price and power price by taking income maximization as a target function. According to the invention, the coal purchase quantity and the power generation quantity of the coal-fired power plant are subjected to collaborative optimization processing, so that the profit maximization of the power plant can berealized on the premise of ensuring the safe operation of the power plant.

The present invention discloses a pricing method and device for real-time electricity prices. The method includes: determining the objective function of the real-time electricity price model of the electricity selling company; obtaining the constraint conditions of the real-time electricity price model of the electricity selling company; according to the objective function and the Constraint conditions establish the real-time electricity price model, and solve the real-time electricity price model to calculate the real-time electricity value. Realize the purpose of electricity sales companies to obtain benefits and guide users' electricity consumption behavior.

The invention discloses an electricity pricing method for electric automobile space-time charging-discharging of a power distribution network, comprising the following steps of determining a time-of-use electricity price strategy by optimizing a load curve based on the space-time transfer characteristic of an electric automobile and response characteristics of a user to the electricity price withthe purpose of reducing the load fluctuation of the power distribution network; establishing a power distribution network reconstitution model with the purpose of reducing the transmission losses of the power distribution network, solving to obtain an optimal space electricity price for charging-discharging load; and determining the electric automobile space-time charging-discharging electricity price of the power distribution network. The electricity pricing method for the electric automobile space-time charging-discharging of the power distribution network is capable of guiding electric automobile users to orderly charge and discharge in two scales of time of space, the transmission losses of the power distribution network are reduced, the difference between peak and valley of the powerdistribution network is reduced, the voltage quality of the power distribution network is improved, and the charging expense of the electric automobile user is reduced.

The invention discloses an industrial user dynamic differential electricity price mechanism for energy saving and emission reduction, and the method introduces the concepts of user demand response and users' satisfaction on the basis of a conventional electricity price mechanism and an electricity pricing principle. The method comprises the steps: building a dynamic differential electricity price model, and carrying out the regulation of the electricity price according to the change of an air quality index; adjusting the electricity price as k times of the original price. From the aspect of demand side response, the invention provides the dynamic differential electricity price regulation and control mechanism for an industrial user, and aims at promoting the user to adjust the behavior of power utilization through the change of electricity price, so as to achieve the purpose of energy saving and emission reduction. In the method, the built electricity regulation and control mechanism adjusts the electricity price according to the degree of air pollution. The severer the air pollution is, the bigger an adjustment coefficient is, and the higher the adjusted electricity price is. During the determining of the adjustment coefficient of the electricity price, a multi-target optimization model which gives comprehensive consideration to the users' satisfaction and the energy saving and emission reduction is built. Moreover, an analytic hierarchy process is used for adjusting a target function according to the characteristics of different users.

A generation-side peak-valley time-of-use electricity pricing method linked with sales-side comprises the following steps: defining a social peak-valley time-of-use electricity demand response function, and using the function to obtain the sales-side peak-valley time-of-use average sales price and the corresponding load; using the obtained sales-side peak-valley time-of-use average sales price andthe corresponding load to build a generation-side peak-valley time-of-use electricity pricing model linked with the sales-side; solving the generation-side peak-valley time-of-use electricity pricingmodel linked with the sales-side. The advantages are that the peak-valley time-of-use electricity price feasible scheme solved by the method can fully express the peak-valley time-of-use electricityprice peak load shifting effect, keeping related entity benefits, ensuring electricity pricing scheme implementation continuity, realizing long term usage, obviously providing energy saving and emission reduction effects, and providing important guiding meanings for related electricity price setting and manager setting optimized peak-valley time-of-use electricity price.

The present invention relates to the technical field of electric power market, and more specifically, relates to a method for settlement of demand-side node electricity price partitions in a spot market environment. It includes the following steps: S1. Partition the power system according to the electricity price, and obtain the data of each price area after the partition; S2. Calculate the total electricity consumption of users in each price area; S3. Calculate the weight value Ai of the electricity of each node; S4 . Calculate the average node electricity price of each partition; S5. Calculate the electricity fee payable by market users in the spot market. The present invention provides a settlement method for demand-side node electricity price partitions in the spot market environment. Combining the operating mechanism of the spot market and the principle of partitioned electricity prices, a method for settlement of demand-side node electricity prices by partition is proposed. The calculation process of this method is simple. The advantages of electricity price pricing can accurately reflect the price signal of the electricity market in the spot market, and at the same time can avoid the risk of excessive price fluctuations faced by electricity consumers. It can promote the stable development of the electricity market during the transition period of the electricity market construction, which has reference significance for the construction of the spot market.

The invention discloses an electricity price policy document collection method and system based on a web crawler, and relates to the technical field of electricity price policy text processing. An electricity price policy database is constructed, electricity price policies on related policy websites are collected regularly in a web crawler mode, and the link of webpage query of workers is omitted; the collected policy texts are classified in a domain text judgment mode, and then on the basis of domain text judgment, relevant knowledge is extracted by adopting a natural language processing technology and stored in the database so that workers can conveniently retrieve the knowledge.