417 results about "Energy scheduling" patented technology

A forward-looking method and system is provided for determining an economically optimal energy dispatching schema to meet the combined demands of heating, cooling and electrical by an energy plant and a facilities plant. The optimal energy dispatching schema is determined for each of a plurality of incremental time segments defined in a forward-looking time period by optimizing these loads. The schema can be used for real time energy dispatching by the energy plant, in an existing energy plant optimization, and / or a new energy plant planning and design over the forward looking time period or any other forward-looking time period.

A forward-looking method and system is provided for determining an economically optimal energy dispatching schema to meet the combined demands of heating, cooling and electrical by an energy plant and a facilities plant. The optimal energy dispatching schema is determined for each of a plurality of incremental time segments defined in a forward-looking time period by optimizing these loads. The schema can be used for real time energy dispatching by the energy plant, in an existing energy plant optimization, and / or a new energy plant planning and design over the forward looking time period or any other forward-looking time period.

The power flexibility of energy loads are maximized using a value function for each load and outputting optimal control parameters per load. These loads are aggregated into a virtual load by maximizing a global value function that includes the value function for each individual load. The solution yields a dispatch function providing: a percentage of energy to be assigned to each individual load, a possible time-varying power level within a time interval for each load, and control parameters and values. An economic term of the global value function represents the value of the power flexibility to different energy players. A user interface includes for each time interval upper and lower bounds representing respectively the maximum power that may be reduced to the virtual load and the maximum power that may be consumed by the virtual load. An energy trader modifies an energy level in a time interval relative to the reference curve for the virtual load. Automatically, energy compensation for the other intervals and recalculation of upper and lower boundaries occurs and is displayed. The energy schedule for the virtual load is distributed to the actual loads using the dispatch function.

The invention discloses a photovoltaic generating energy storage system and an energy scheduling method thereof. The system consists of a photovoltaic generating module, a photovoltaic controller, a bidirectional inverter, a rechargeable battery module, a switching device, a battery management system, a central controller, a display and a direct-current converter. The photovoltaic generating module is connected with an alternating-current load by the photovoltaic controller and the bidirectional inverter successively; a connecting end between the photovoltaic controller and the bidirectional inverter is connected with the rechargeable battery module by the direct-current converter; and the battery management system is connected with the rechargeable battery module. The central controller is respectively connected with the photovoltaic controller, the bidirectional inverter, the battery management system, the direct-current converter and the display by communication buses and is connected with a power supply grid by the switching device. According to the invention, charging and discharging control can be carried out according to the load situation and concrete parameters of the rechargeable battery module, thereby realizing the optimum energy utilization rate. Moreover, the control efficiency is high; the response speed is fast; and the control accuracy is high. The system and the method can be widely applied to the photovoltaic generation industry.

The invention discloses a method for analyzing the power consumption behaviors of users, and the method comprises the steps: S1, acquiring power consumption data; S2, extracting a power behavior characteristic index according to the power consumption data; S3, analyzing the type of a user according to the power behavior characteristic index; S4, determining the user behavior characteristics according to the power behavior characteristic index and the type of the user. The method achieves the accurate and complete analysis of the power consumption behaviors of the user through extracting different power consumption characteristics from the power consumption data, achieves the clearer understanding of the change rule of the power consumption behavior with the seasons and time, provides a reference for the proposing of an energy-saving environment protection suggestion, the formulating of a personalized marketing scheme and the formulating of an energy dispatching strategy of a microgrid,and improves the economic benefits of a power grid.

The invention discloses an electric-energy scheduling method for a power grid system integrated into energy storage equipment. The electric-energy scheduling method comprises the following steps: (1) a profit function model of a power plant is established, and the profit of the power plant is equal to the solution of subtracting power generation cost from the electric charge from users; (2) the energy storage equipment is introduced into the power plant, stores electric energy when the power consumption is in a valley period and releases the electric energy when the power consumption is in a peak period, so that the power plant not only can generate power smoothly, but also can ensure the power demand of the users when the power consumption is in a peak period; (3) a utility function model of a user group is established and is equal to a result of subtracting the cost paid by power consumption (i.e., the electric charge needing to be paid) from the power-consumption satisfaction degree obtained by power consumption of the user group, while the electric charge needing to be paid by the users not only is related to the power consumption, but also is related to the fluctuation level of the total load; (4) a double-layer optimization algorithm is established, the power plant side adjusts and controls a load curve according to the response of the power demand of the user group, so that the profit of the power plant is maximized; the user group plans the power consumption plan of the users according to a power-consumption cost function provided by the power plant, so that the maximization of the whole happiness (i.e., subtract the paid electric charge from the power-consumption satisfaction degree) is achieved.

The invention discloses a microgrid energy storage scheduling method, device and equipment based on deep reinforcement learning, and the method comprises the steps: firstly building a simulation modelcorresponding to a controlled new energy microgrid according to the controlled new energy microgrid, and converting microgrid energy storage scheduling into a Markov decision problem according to themicrogrid simulation model; then, according to the day-ahead new energy power generation, load and electricity price data of the microgrid, training and establishing an energy storage system intelligent agent; in the training process, after awards obtained by the energy storage system intelligent agent from the environment reach stability, storing network parameters, and ending training; and finally, applying the trained energy storage system intelligent agent to the real-time scheduling of the microgrid energy storage system, and performing charging and discharging control on the energy storage system according to the real-time generating capacity and load demand of the microgrid at each energy scheduling time counted by hour. Renewable energy in the microgrid is fully utilized, impact of the renewable energy on the main power grid is reduced, and minimization of the operation cost of the microgrid is achieved.

The invention provides an integrated electric propulsion power system applied to a high-power integrated electric propulsion spacecraft platform. A novel power supply and distribution architecture and a power regulation and processing unit (PCPU) based on the architecture are designed by changing a primary powder bus architecture and coupling a high-voltage power supply of a PPU. The PPU comprises a high-voltage transformation and shunt regulating HVC_SR module, a BCDR module, a primary power bus error amplifier V_MEA, a high-voltage bus error amplifier HV_MEA, a primary power bus VBUS and a high-voltage bus HVBUS. A high-voltage bus directly takes power from a solar array, the HVC_SR is controlled through the HV_MEA, the energy of the solar array is isolated and boosted to a secondary side, and then the isolated secondary sides of a HVC_SR module set are connected in series and parallel to form the HVBUS so as to meet the demands of different types of electric propulsion systems for the electrical characteristics and quantity of high-voltage buses. The integrated electric propulsion power system can provide more engine domains for an electric propulsion engine and can significantly shorten orbital transfer time, and power transformation and energy scheduling can meet the energy supply and use requirements of an integrated electric propulsion platform better.