249 results about "Electric power demand" patented technology

A system and method for managing the stored power of a plurality of vehicles connected to the power grid is provided. In one embodiment the method includes determining location information of each of the plurality of vehicles connected to the power grid, determining that a demand for power in a portion of the power grid has reached a power threshold, determining that the location information associated with a set of the plurality of vehicles satisfies a similarity threshold with the portion of the power grid, determining that a subset of the set of vehicles has stored power that satisfies a power availability threshold, and transmitting a command to at least one vehicle of the subset of vehicles to discharge power onto the power grid. The portion of the power grid may comprise a medium voltage power line or a substation.

The invention provides a power demand response intelligent decision method based on price and excitation. The method includes the steps of (a) collecting a sample, (b) obtaining an industrial load, (c) obtaining a moment load, (d) building safe operation constraint conditions, (e) building tolerance constraint conditions, (f) obtaining controllable load gross, (g) solving payback load gross, (h) building a basic demand relation, (i) building controllable time constraint conditions, (j) building a user benefit constraint function, (k) building a comfort degree optimal function, (l) building an electricity cost constraint function, (m) building a participation cost constraint function, (n) building a fairness constrain function, and (o) solving an optimal solution. By means of the intelligent decision method, an electric use time interval is adjusted to be a low-electricity-cost time interval, electricity consumption is reduced in a high-electricity-cost time interval, and electric charge is reduced; a user reduces power demands when a system needs or during power shortage, so that a peak load shifting function is achieved, and normal power supply is guaranteed.

Charging control section 17 controls charging such that when the charging of an EV satisfies a predetermined condition, the EV is charged with electricity from a stationary energy storage and when the charging of the EV does not satisfy the predetermined condition, the EV is charged with electricity from an electric power grid and information communication grid 1 and the stationary energy storage is charged from electric power grid and information communication grid 1 based on the state of stored electricity of the stationary energy storage. Charging scheduling section 15 performs scheduling for the EV based on an electric power demand that cause electric power grid and information communication grid 1 to charge the EV with electricity, the electric power demand including electric power demand created by charging performed under the control of charging control section 17.

The invention discloses an electric heating comprehensive energy system scheduling method based on improved weak robustness optimization. According to the invention, the model description of the powerdemand response (DR) is compared and expanded to the electric heating comprehensive demand response (IDR), and the price type and excitation type comprehensive demand response is modeled; Under the low-carbon background, an electric heating comprehensive energy low-carbon dispatching model containing a combined heat and power generation unit, a pumped storage electric boiler, a heat storage electric boiler and a heat storage device is established, and the electric power constraint condition and the thermal power constraint condition are determined with the minimum comprehensive energy operation cost and the maximum benefit of a carbon emission transaction model as objective functions; Considering the uncertainty of wind power and comprehensive demand response, and the improved weak robustoptimization is utilized to process the uncertainty of the source load side to obtain an improved weak robust low-carbon scheduling model of the electric heating comprehensive energy system; And finally, an improved bacterial population drug tendency algorithm (BCC) is adopted for solving, and the effectiveness of the proposed model and algorithm is verified through examples.

The transportation system in this invention provides vehicle coupling units which allow the electrical connections and reconfigurations of two or more vehicles together at highway speeds. The coupling unit provides for the bidirectional exchange of electrical power between these vehicles to meet the various power demands of each vehicle. The system is designed to permit coupling and decoupling process of the vehicles while they are traveling at highway speeds. To facilitate the coupling event, each vehicle will employ vehicle active steering, vehicle active suspension, and coupler joint articulation, which will be under vehicle computer control, and will employ vehicle to vehicle data communication. This transportation system allows the electric vehicles to electrically and mechanically couple together for flexible electrical power sharing to achieve the extension of the range of electrically powered vehicles to minimize the time needed for stationary re-charging of electrical vehicles required by electrical charging stations.

A thermal source provides heat to a heat engine and or one or more thermal demands, including space and water heating and heat storage. Additionally the output of the heat engine may be used for local in situ electricity needs, or directed out over the grid. A system controller monitors conditions of the components of the system, and operates that system in modes that maximize a particular benefit, such as a total accrued desired benefit obtained such as reduced electricity cost, reduced fossil fuel use, maximized return on investment and other factors. The controller may use past history of use of the system to optimize the next mode of operation, or both past and future events such as predicted solar insolation.

The invention provides a method for the electric power demand response control of air conditioning systems based on a cloud platform. The cloud platform is connected with at least an air conditioning system. The method comprises the following steps: according to a power grid dispatching instruction, determining a maximum total power value of all air conditioning systems; according to the indoor target temperature and humidity of the air conditioning systems, establishing a relation model of the power consumption of the air conditioning systems and the indoor temperature and humidity of a building; based on the structure and indoor environment of the building and the contribution data of the air conditioning systems to the indoor temperature and humidity of the building, establishing a building body model; establishing a total power consumption control model of all the air conditioning systems; and inputting the real-time running parameters of the air conditioning systems, the real-time electrical loads of the air conditioning systems and the real-time indoor/outdoor temperature and humidity data of the building into the total power consumption control model, calculating for obtaining a control parameter variation curve of the air conditioning systems, and according to the curve, controlling the electric power demand response of the air conditioning systems. The method disclosed by the invention can furthest meet the user needs on comfortableness under the condition that the power grid dispatching instruction is implemented.

A method and apparatus are described for storing electrical power in the form of relative chemical potential between a concentrated solution, typically salt brine, and a dilute version of the same solution. To recover the power, the concentrated solution and dilute solution are supplied to a means for transforming the difference in their chemical potential into electrical power by such means as pressure retarded osmosis or reverse electrodialysis. In operation such means take in the concentrated and dilute solutions and exhaust a solution of intermediate concentration. The concentrated solution is supplied from a container such as a pond. It is generated by evaporation of the intermediate concentration solution in a second, separate pond, which receives the exhaust from the power generation means. The exhaust solution is concentrated by evaporation and is transferred into the first pond when the concentration has reached a sufficient level. To obtain a high evaporation rate in a relatively small evaporation area, the evaporation is enhanced to a rate faster than that obtained at the liquid surface of an open pond of the solution by employing electrical evaporation enhancement means. The electrical evaporation enhancement means is programmed to draw power from an electrical supply grid during periods when electricity demand is low and or when the cost of electricity is below or equal to an average cost over a period such as a diurnal cycle. When demand is high the enhancement is discontinued and the power generation means uses the stored concentrated brine to generate extra electrical power. Therefore the enhancement means would be used less than 30% of the time when the stored concentrated brine is being used to generate electrical power.

An electric power generation device includes: a storage unit that stores information about the electric power generation device; a transmitting unit that transmits information about the electric power generation device to a neighboring electric power demand device; a receiving unit that receives an electric power demand request from the neighboring electric power demand device; and an allocation unit that allocates electric power according to the electric power demand request.

A plurality of forecast weather groups in a period comprising a plurality of days including a forecast target day for forecasting the electric power demand, and a plurality of actual weather groups in a period in a plurality of days in the past are set as the target period, and the similarity between the forecast weather group and the plurality of actual weather groups is calculated, a trend of a subsequent electric power demand is predicted based on the comparison of the plurality of calculated similarities whereby the electric power demand of a forecast target day is known.

A smart controller (102) receives, from an EMS (70), control information as charge information that indicates electricity prices determined in accordance with a power supply of an electric power system (60) and an electric power demand of a consumer group. The smart controller (102) compares the electricity prices with a charge threshold value in a correspondence relationship between a predetermined operation mode and the charge threshold value, thereby determining the operation mode of an illumination (110), an air conditioning device (112), and a heat storage device (114) as loads so as to be an operation mode in which power consumption is reduced as the electricity prices becomes higher, and thus controlling the illumination (110), the air conditioning device (112), and the heat storage device (114) as the load.

In many technical applications, situations often arise where it is desirable to know, in real time, if a circuit is functioning. That is, it is desirable to know if, for example, a heater element is operational or blown (open). By sensing the current flowing to the circuit, it is easy to determine if the circuit is operational. However, this only provides information while the circuit is in the process of operating. There must be some real-time connection with the request or demand for power to know if in fact the device is non-operational, or if there is simply no controller request for power. A system (and method) according to the invention includes a real-time, simultaneous current and voltage sensing and arbitration device which provides a single, point of use implementation, and allows for detection and signaling of a fault condition. A circuit breaker may be constructed to incorporate such a system.

The invention discloses a method and control system for regulating voltage of a power distribution network through participation of electric power demand responses. The control system comprises an internet cloud platform and user side equipment that is arranged at the user side and can be accessed to the internet cloud platform through communication networks, wherein the user side equipment at least includes a user side control unit, a user side load and a user side distributed power generation device; and the internet cloud platform acquires non-movable load data, movable load data and distributed power generation data of a user, user node voltage and other information through the networks, takes the voltage stability, movable load demands and the like as constraint conditions, and takes user profit maximization as an objective function to establish an optimization model of user side demand responses. By adopting the technical scheme disclosed by the invention, the node voltage of the power distribution network can be controlled within a reasonable range through the planning of a movable load; and the problem of voltage rise caused by a large number of distributed grid connections and the problem of voltage drop caused by the simultaneous charging of a large number of electric vehicles can be solved, and the safe and stable operation of the power distribution network can be maintained.