1074 results about "Electricity cost" patented technology

A method to integrate collected solar thermal energy into the feedwater system of a Rankine cycle power plant is disclosed. This novelty uses a closed loop, single phase fluid system to collect both the solar heat and to provide the heat input into the feedwater stream of a regenerative Rankine cycle. One embodiment of this method of integrating solar energy into a regenerative Rankine power plant cycle, such as a coal power plant, allows for automatic balancing of the steam extraction flows and does not change the temperature of the feedwater to the boiler. The concept, depending on the application, allows for the spare turbine capacity normally available in a coal plant to be used to produce incremental capacity and energy that is powered by solar thermal energy. By “piggybacking” on the available components and infrastructure of the host Rankine cycle power plant, considerable cost savings are achieved resulting in lower solar produced electricity costs.

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.

Disclosed is an apparatus and method for energy management of electric devices, which individually displays various pieces of energy related information, such as consumption time, power consumption amount, current electricity rate and future electricity rate, in an apparatus provided to each electric device and controls the presence of operation of an individual electric device so as to make more effective use of limited energy resources in commercialized smart grid and smart meter technologies in which the energy price is changed depending on time. To this end, the operating state of each of the electric devices is estimated based on a variation in total energy consumption amount detected by a meter.

Provided are a charging and discharging system for a solar light power generator in a smart grid environment, a method of operating the same, and a duplex converter for charging and discharging electricity into/from a battery. The system includes: an electricity price monitoring part which collects electricity price information from an electric grid; an electricity charge amount monitoring part which collects electricity charge amount information of a battery; a charge and discharge determination part which determines whether electricity supplied from the electric grid is to be charged into the battery or whether electricity stored in the battery via the electric grid or the solar light power generator is to be discharged to the electric grid, based on the price information and the charge amount information; and a charging and discharging part including the battery, so that electricity is charged into or discharged from the battery based on the determination.

Provided is a network system, which includes an advanced metering infrastructure, a communication device, and an energy management system. The advanced metering infrastructure is configured to measure energy supplied from a power supply source. The communication device is configured to communicate energy information related with the energy. The energy management system recognizes the energy information to control driving of an electric product. The energy management system limits a function of at least one part of power consumption units constituting the electric product, based on whether the recognized energy information is an on-peak time period. Thus, the concentration of power consumptions can be removed, so that a power supplier can effectively manage power consumptions and a consumer can save electricity costs and energy.

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 relates to a refrigerator, in particular to a timesharing control intelligent refrigerator and a control method thereof. The refrigerator comprises a body of refrigerator, a refrigerating system and a control system, wherein the refrigerating system is arranged in the body of refrigerator and the control system is used for controlling the refrigerating system; and the control system comprises a microprocessor connected with the refrigerating system, and a temperature sensor, a clock unit and a human-computer interface which are respectively connected with the microprocessor. The control system is characterized in that the microprocessor comprises a first mode control module, a second mode control module and a mode selection module, wherein the second mode control module comprises a forcing cold operation module, a weak cold operation module and a timesharing comparison module. The refrigerator can accumulate cold in the night and releases the cold in the daytime in an intelligently economic model, thereby saving electric charge on the premise of not increasing power consumption; and therefore, power consumption peak can be avoided and electricity capacity in the daytime can be reduced, thus really saving electric charge on the premise of not increasing the actual power consumption. In addition, the invention also discloses the control method for the intelligent refrigerator.

A central control system controls peak power of multiple air conditioners that includes indoor units installed in rooms of a building and an outdoor unit for controlling refrigerant circulation. A central controller is connected to the multiple air conditioners via a network to perform central control or monitoring of operations of the air conditioners. The central controller performs peak power control if current power consumption of the air conditioners, calculated based on operating states thereof, exceeds a previously input reference management power value. A signal converter is connected between the multiple air conditioners and the central controller to perform mutual conversion of different protocol signals communicated between the multiple air conditioners and the central controller. This decreases excessive electricity costs due to excessive power consumption while approximately maintaining cooling/heating efficiencies, and also prevents the entire power of the building from being cut off.

The invention relates to a low-voltage intelligent anti-theft count tank, which comprises a host and a sub station, wherein the forward machine of host is connected to the wireless communicator to collect data and control switch, and store the collected data into data server and web server; the web server publishes the data on internet or local network; the data server is connected to several NT work stations, to analyze alarm data, pre-charge electricity and cost electricity; the electricity counter of sub station can test the current, voltage, power and power factor; the data collection processing part can analyze and store the abnormal states; the control part can open and close the switch; the wireless communicator can transmit data. The invention can detect the electric transformer and the electricity cost of transformer.

The invention discloses a traction power supply system energy management optimization method integrating hybrid energy storage and photovoltaic devices. The traction power supply system energy management optimization method comprises the steps of: step 1, acquiring traction substation load process data and a typical light intensity scene; step 2, establishing an objective function of an optimization model; step 3, establishing constraint conditions of the optimization model, and linearizing the constraint conditions of optimization model; step 4, establishing a hybrid integer linear programming model according to the objective function obtained in the step 2 and the constraint conditions obtained in the step 3; step 5, and solving the hybrid integer linear programming model obtained in thestep 4, so as to obtain the optimal charge and discharge power of the hybrid energy storage device, the optimal photovoltaic grid-connected power and the optimal power flow power of a back-to-back converter in a power flow controller, thereby completing the energy management optimization of a traction power supply system. The traction power supply system energy management optimization method improves the photovoltaic permeability and train regenerative braking energy utilization rate, reduces the electricity cost of electrified railways, and is closer to the reality.

A heating system includes a heat pump that provides heat to a major fluid circuit and a minor fluid circuit for performing different heating operations. The system includes a power source having a variable cost and a controller configured to regulate flow of the major and minor fluid circuits to perform the heating operations. The controller is configured to receive information regarding the variable cost of the power source and distribute flow between the major and minor fluid circuits to perform the heating operations to minimize the electricity cost. The combined enhanced demand regulation and enhanced output regulation amplifies the total heat output and power consumption while permitting greater use of a power source of varying cost (e.g. PV)—thereby minimizing overall daily operating cost.

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 aims at absorbing all renewable energy, realizing peak clipping and value filling of the large power grid, improving economical benefit and adjusting accuracy of an energy hub with CCHP, and reducing the transmission cost of natural gas. An energy hub model with a power to gas function, energy storage, CCHP and electric energy feedback is constructed. Factors including a power to gas commissioning factor of a fuel and purchase based electric charge rate structure and nondeterminacy of self gas utilization and wind power output of the energy hub are taken into consideration, the energy hub model is optimized to make the fuel cost of the energy hub minimal and the energy interaction cost of the main grid minimal, and the effectiveness of the constructed energy hub model is determined.

The invention discloses a method for optimizing and designing island wind electricity generator, diesel engine and storage battery electricity generation power based on an improved particle swarm. The method comprises the following steps of: acquiring island wind resource data at an average wind speed per hour as a unit; acquiring loading data corresponding to the wind speed at the same time at an average load per hour as a unit; determining an island wind, diesel and storage load electricity generation system; linearizing a wind-speed-power curve of the wind turbine; improving a particle swarm optimization (PSO) algorithm; adopting a unit watt cost calculation model; adopting a power loss rate LLP as a ratio of the system power failure time to the estimation period time; output a result so as to obtain the number of wind electricity generators and diesel engines as well as the capacitance of a storage battery when the electricity cost is lowest, and forecasting the unit watt cost. Inthe method, the improved particle swarm algorithm is applied to power supply combined by the wind electricity generator, the diesel engine and the storage battery on the island; according to an energy optimization and scheduling method, the electricity expense is lowest under the condition of meeting the electricity requirement. The method has the advantages of simpleness, high efficiency and accuracy of the obtained optimized result.

The invention discloses a micro-grid operation optimizing method in consideration of the real-time electricity price and the controllable load. The real-time electricity price and the controllable load are introduced, difference minimization of the user electricity cost, an HVAC and an EWH with the corresponding target temperatures serves as the optimization target, the proportion of power supplied to the load by a distributed power source to charging power for stored energy with the distributed power source, the delay time of a delay load and the working state of a schedulable load serve as the decision variables, optimization and simulation are performed through a differential evolution algorithm, and a simulation and optimization operation result is analyzed. The delaying performance of the delay load and the selectivity of the operation state of the schedulable load are excavated and reflected, and the effectiveness and applicability of the optimizing method are verified. The method fully reflects the guide function of the real-time electricity price on the user electricity habit; the controllable load is divided into two parts, and regulation of the load is reflected; resources on the demand side are fully utilized, and a theoretical support is provided for economic operation of a micro-grid.

A real-time concentrated long-distance charge-control power system comprises an electricity charge calculation main station, a communication network, a data transparent transmission terminal and a watt-hour meter with long-distance brake-opening and brake-closing multiple functions. The system is characterized in that the electricity charge calculation main station is connected with a meter reading main station through a port, and a meter connection main station is linked with a wired or wireless communication network and is linked with the watt-hour meter through the data transparent transmission terminal. The system has the advantages that the electricity charge calculation main station carries out data processing in a concentrated mode, and efficiency and safety are high; functions of the watt-hour meter are simplified; investment is saved; and the effects of an electricity charge recovery rate of a power supply company can be effectively improved.

The vehicle-use dual voltage type power supply apparatus including a high voltage power supply system and a low voltage power supply system has a configuration that the target power generation cost is calculated individually for each of the two power supply systems in accordance with SOC as a variable of its own battery, so that the electricity cost reduction type power generation control can be performed individually for each of the two power supply systems.

The invention discloses a new energy supply system used for run-through type traction power supply and a control method. The control method comprises the steps of determining an application area of anew energy supply system, and performing load prediction according to an electrified railway running chart of the application area and a traction load power curve in a normal working condition to obtain traction load data; obtaining a new energy daily output curve and a traction load curve according to the new energy resource state of the application area; by performing matching analysis to determine the optimal installed capacity of the new energy supply system when a constant condition is satisfied; and by combination of the planning condition of the application area, performing selection ofthe optimization operation control strategy of the new energy supply system in multiple scenarios. By virtue of the control method, new energy nearby consumption and green development of the railwaysystem can be facilitated, so that recycling of energy of a regenerative brake part can be realized effectively, the related electric energy quality problem can be avoided to bring extra economic benefits, and the basic electricity cost of the traction side can be lowered by performing peak cutting of the traction load.

The invention discloses an installation method for an assembly type building. The installation method comprises the steps that 1, embedded parts, foundation bolts and connecting ribs are installed according to the drawing position height, and concrete is poured after reinforcement; 2, first-floor vertical component prefabricated wallboards and prefabricated columns are installed; 3, first-floor horizontal components are installed; 4, upper-layer prefabricated wallboards and prefabricated constructional columns are installed; and 5, the concrete is poured, and sequential cycle operation is conducted till the top of the structure is sealed. The installation method for the assembly type building has the beneficial effects that construction is rapid, safe and reliable, the quality is ensued, the efficiency is high, the construction period is greatly shortened, materials and artificial electricity cost are reduced through factory prefabrication, precise installing can be conducted, potential safety hazards are reduced, the pollution of sewage, waste, garbage, dust, noise, transportation which are produced by building site construction to the air environment is reduced, and the environment is protected.

A calculating method of index selection, weight optimization and channel planning of electric power payment channel analysis is disclosed. The method comprises the following steps of step1, through a SG186 system or a questionnaire, acquiring data of basic attribute information and payment habit attribute information of a user who pays; step2, using a characteristic weight optimization method to optimize each weight in an individual user figure, acquiring an optimal individual user figure, and through a clustering algorithm, establishing a group user payment behavior figure; step3, using a K-nearest neighbor classification algorithm to establish an index evaluation system; step4, using a genetic annealing algorithm to calculate a weight value of each attribute index; and step5, determining whether the value is an optimal value and determining an optimal payment channel. In the invention, based on user payment large data, a lean management level of marketing electricity charge recovery work is increased and finally a payment service channel through which the user can pay conveniently and which is satisfied by the user is realized.

The invention relates to an intelligent adapter socket in response to requirements and a control method of the socket. The socket comprises a communication module, an information processing module, an infrared detection sensor, a switch control module and jacks, wherein the information processing module comprises a controller which is connected with the communication module, AC is connected to the jacks via the switch control module, the controllers is in control connection with the switch control module, one of the jacks is connected to a storage battery, and the controller is connected with the infrared detection sensor. In the trough period of power utilization or when the power cost is low, the storage battery is charged, and an electric appliance is connected to the power grid; and in the peak period of power utilization or when the power cost is high, the electric appliance is disconnected from the power grid or is connected to the power grid intermittently, and the storage battery supplies power to the electric appliance. Thus, power is saved for the users, and the users can obtain economic compensation and reduce the electricity charge in response to the requirements.

The invention relates to the field of environmental protection and energy conservation, and discloses a solar water heater device. The solar water heater device comprises a control circuit arranged on the solar water heater device, a solar power generation plate and a storage battery connected with the solar power generation plate, wherein the control circuit is connected with the storage battery, so the device not only can convert solar energy into heat energy for heating water, but also can convert the solar energy into electrical energy which is stored in the storage battery; and when the light is insufficient, the storage battery can supply power to an electric heating temperature complementing device to complementarily heat the water in a heat insulation water tank, and other external power supply is not needed, so the device greatly saves electricity cost and is more energy-saving and environment-friendly. No matter whether the power fails, the power can be continuously supplied to the control circuit of the solar water heater through the storage battery, the external power supply for controlling automatic water inlet is not needed, and dry burning due to power failure is avoided; and the solar water heater device can be used during power failure or on cloudy days, and provides great convenience for users.