3536 results about "Microgrid" patented technology

An energy distribution may include a server and one or more databases. The system may communicate with an energy provider to receive energy provider data, at least one information collector to receive information collector data such as individualized energy usage data, customer preferences, and customer or location characteristics, and the one or more databases for receiving data for optimization. The system may calculate a cost of service or avoided cost using at least one of the individualized energy usage data and a system generation cost at a nearest bus. The system may also forecast individualized demand by end-use, individualized demand by location, energy prices, or energy costs. The system may optimize energy distribution, energy use, cost of service, or avoided cost using the forecasted individualized demand by end-use, the forecasted individualized demand by location, the forecasted energy prices, and the forecasted energy costs.

Systems and methods for energy optimization may receive receiving energy provider data, near-real time individualized energy usage data for each of a plurality of end-uses or near-real time individualized whole premise energy usage data, customer preferences, and near-real time and forecasted weather information. The systems and methods may forecast, for a selected time period, individualized energy usage for each of the plurality of end-uses or individualized whole premise energy usage data for a customer location using: (1) the energy provider data, (2) the near-real time individualized energy usage data, (3) the customer preferences, and (4) the near-real time and forecasted weather information. The systems and methods may optimize, for the selected time period, energy usage at the customer location using (1) the individualized energy usage, (2) the energy provider data, and (3) the customer preferences.

A microgrid power generation system includes a plurality of generators having a plurality of different rated capacities and a plurality of distribution nodes, at least some of the distribution nodes being powered by the generators. A grid is formed by the distribution nodes, the grid includes a system frequency. A plurality of loads are powered by the grid through the distribution nodes, the loads have a power demand. A processor includes a plurality of efficiency bands, each of the efficiency bands being for a corresponding one of the generators and including a plurality of generator switching points based upon droop of the system frequency and the power demand of the loads. The processor is structured to operate the generators and the loads under transient conditions based upon the efficiency bands.

The invention discloses a control method for a grid-connected power generation system of an optical storage microgrid. According to the method, a photovoltaic power generation power supply is connected with a direct-current (DC) bus through a boost converter, and an energy storage module is connected with the DC bus through a bidirectional DC-DC converter; a DC side of a DC-AC (Alternating Current) grid-connected inverter is connected with the DC bus, and an AC side of the DC-AC grid-connected inverter passes through a filtering inductor and then is connected with a power grid and a load respectively; the photovoltaic power generation power supply is subjected to maximum power tracking control and constant-voltage control respectively through a boost converter control strategy according to the charging state of the energy storage module, the output power of the photovoltaic power generation power supply, the voltage drop conditions of grid connected points and the reactive power demand set value of the power grid, the charging and discharging of the energy storage module are controlled through a bidirectional DC-DC converter control strategy, and the voltage of the grid connected points is stabilized through a DC-AC grid-connected inverter control strategy. The method disclosed by the invention has the advantages that the stable grid connection of the optical storage microgrid is guaranteed, and the quality of electric power of the power grid is improved; the multi-functionalization of the grid-connected inverter is realized, and the cost is reduced; the new energy absorption capacity of the power grid is enhanced, so as to meet the demands of the power grid.

A system for controlling a microgrid includes microgrid assets and a tieline for coupling the microgrid to a bulk grid; and a tieline controller coupled to the tieline. At least one of the microgrid assets comprises a different type of asset than another one of the microgrid assets. The tieline controller is configured for providing tieline control signals to adjust active and reactive power in respective microgrid assets in response to commands from the bulk grid operating entity, microgrid system conditions, bulk grid conditions, or combinations thereof.

Systems and methods for real-time modeling of a microgrid. In an embodiment, real-time data is acquired from a microgrid. Predicted data for the microgrid is generated using a first virtual system model of the microgrid, which comprises a virtual representation of energy sources within the microgrid. The real-time data and the predicted data are monitored, and a calibration and synchronization operation is initiated to update the first virtual system model in real-time when a difference between the real-time data and the predicted data exceeds a threshold. Parameters of the first virtual system model can be modified to create a second virtual system model, and aspects can be forecasted for the microgrid operating under the modified parameters of the second virtual system model. In a further embodiment, market price information can be received, and optimization solutions can be generated based on the market price information.

The particle swarm optimization method for microgrids formulates a control problem as an optimization problem and PSO is used to search the solution space for optimal parameter settings in each mode. The procedure models optimal design of an LC filter, controller parameters and damping resistance in grid-connected mode. Moreover, the procedure optimizes controller parameters and power sharing coefficients in autonomous mode. The method uses particular nonlinear time-domain-based and eigenvalue-based objective functions to minimize the error in the measured power, and also to enhance the damping characteristics, respectively.

The invention relates to a grid connection presynchronization control method of a microgrid inverter based on droop control. When the microgrid operates in island, as a voltage source type inverter which functions as the support in the microgrid works in accordance with droop characteristic, a microgrid voltage has a deviation from a high power grid voltage; and the problem of synchronization between the microgrid voltage and the high power grid voltage during the grid connection is the key to realize smooth switchover. The grid connection presynchronization control method provided by the invention comprises the following steps: obtaining frequency and phase position information of the high power grid voltage through a three phase software phase-locked loop (SPLL); carrying out dq (Direct Quadrate) conversion to an output voltage of the inverter based on a power grid voltage phase obtained from the locked phase; subsequently carrying out PI (Physical Impairment) regulation on a q-axis component; overlapping a synchronization angle frequency output by a PI regulator with an angle frequency generated by the droop control to be used as a reference angle frequency of the output voltage of the inverter; and finally realizing the tracking and synchronization of the output voltage of the microgrid inverter to the high power grid voltage through the closed-loop control. The impact current during the grid connection is avoided effectively.

The invention discloses a multi-time scale microgrid energy control method considering demand response. According to the multi-time scale microgrid energy control method considering the demand response, in order to achieve the purpose of lowest operation cost of a microgrid, the electricity generating characteristic of a micro power source and demand response load power utilization property difference are combined to provide a user side load interruptible capacity limiting value, an electricity generating unit power output limiting value, a climbing constraint condition, an energy storage unit storage capacity constraint condition and an interaction maximum capacity constraint condition, an economic combination which can guarantee the optimum environmental benefit is searched under the multi-time scale condition by means of the genetic optimization algorithm, frequency modulation and spare capacity of a main grid are indirectly reduced, and the economical performance of complete-period operation of the grid is improved.