Various embodiments include a method for operating a control platform for energy exchanges between a plurality of energy systems. The method may include: receiving information related to an intended energy exchange from the energy systems; calculating optimum energy exchanges between the energy systems; receiving a plurality of possible energy exchanges s from at least one of the energy systems; for each of the received possible energy exchanges s, performing an optimization method, and therefore calculating an associated partial solution Z(ζ.sub.s); calculating the total solution from the plurality of partial solutions Z(ζ.sub.s) depending on their probability values ζ.sub.z; and controlling energy exchanges between the plurality of energy systems by the control platform on the basis of the determined total solution.

UAV airways system generally are disclosed. Such UAV airway systems may comprise UAV cargo transportation systems and UAV surveillance and monitoring systems. Such systems preferably overlay and are commensurate with a system of high-voltage power transmission lines of high-voltage transmission system, and electric field actuated (EFA) generators preferably are utilized in UAVs that travel along the transmission lines, in UAV charging stations located along the transmission lines, or in both. Each EFA generator represents a power supply and comprises first and second electrodes separated and electrically insulated from each other for enabling a differential in voltage at the first and second electrodes resulting from a differential in electric field strength experienced by the first and second electrodes arising from the power transmission lines of the high-voltage transmission system.

Described herein is a monitoring installation and a monitoring system for monitoring and/or controlling at least one electrical parameter in an electrical supply system, as well as to an associated computer program.

A method may include obtaining irradiance data at a first time and a second time from sensors, determining whether one or more solar modules of a plurality of networked power plants will be covered by a shadow or shade at a third time based on the irradiance data, and generating, based on the determination, a power output prediction for each power plant of the networked power plants at the third time. The method may further include receiving power delivery profiles for first and second loads, adjusting a power output of one or more power plants of the networked power plants based at least in part on the power output prediction and the power delivery profiles for the first and second loads, and allocating a combined power output of the power plants to the first and second loads based on first and second load reliability thresholds.

The present invention provides an active distribution network physics-information fusion control method for a hybrid system model includes an initialization time being a starting time, predicting power output and load of a feeder intermittent distributed power supply within a control time period T, calculating a feeder exchange power deviation variation ΔP(t) during the control time period, if being a fixed distribution coefficient, and establishing a hybrid system model for feeder power coordinated control; if being a rolling distribution coefficient, an exchange power P(t) of the control region at time t being obtained, generating a distribution coefficient matrix W(t), and establishing the hybrid system model of the said feeder power coordinated control; confirming a control objective function min J, converting it into a MIQP, obtaining a full period control quantity; selecting a first control quantity P of the optimized control sequence, sending the first control quantity P to the control device.

A photovoltaic string location update method and apparatus includes: obtaining, based on a physical map, a physical location of a first photovoltaic string corresponding to a first logical location in the physical map, the physical map indicating a correspondence between a logical location of a photovoltaic string and a physical location of the photovoltaic string, and the photovoltaic string includes the first photovoltaic string; and when the physical location of the first photovoltaic string in the physical map is different from a first actual physical location of the first photovoltaic string, updating the physical location of the photovoltaic string in the physical map to the first actual physical location, to obtain an updated physical map. The first actual physical location of the photovoltaic string is inconsistent with the physical location in the physical map, to prepare for subsequent operation and maintenance accurately performed on the photovoltaic string.

A system for estimating a real-time renewable energy generation quantity according to an embodiment of the present disclosure includes a site setting unit for setting a benchmarking group based on geographical locations of a plurality of renewable energy generation sites and setting a benchmarking site for each benchmarking group, a site generation quantity calculation unit for calculating a real-time generation quantity prediction value of each of sites except the benchmarking site among the sites included in the benchmarking group by using a preset prediction model based on a real-time generation quantity actual-measurement value of the corresponding benchmarking site, and a total generation quantity estimation unit for estimating a total real-time generation quantity of all the sites by summing the calculated real-time generation quantity prediction values for the respective sites and the real-time generation quantity actual-measurement value of the benchmarking site.

Embodiments for power generation include defining a power tile within a power distribution network having a grid of power rails, the power tile having logic gates, and applying an initial power grid pattern from a plurality of power grid patterns for the power tile such that initial power grid pattern relates to timing characteristics of the logic gates of the power tile. The power grid patterns each have a different number of connectors connecting one power rail to another power rail in the grid of power rails. A subsequent power grid pattern is selected from the power grid patterns for the power tile such that the subsequent power grid pattern meets a threshold condition for the timing characteristics of the logic gates of the power tile. The timing characteristics for the logic gates are determined based on a voltage drop associated with the subsequent power grid pattern.

An illustrative embodiment disclosed herein is method for power distribution optimization. In some embodiments, the method includes determining an efficiency for each power block of a plurality of power blocks of a power distribution optimization system, determining a characteristic for each power block, determining a power to provide, selecting a first percentage of the power that a first power block is to provide and a second percentage of the power that a second power block is to provide at least based on the efficiency for each power block, the characteristic for each power block, and the power to provide, wherein the first percentage of the power is greater than the second percentage of the power, and sending a dispatch command to cause the first power block to provide the first percentage of the power and the second power block to provide the second percentage of the power.

A method described delivers power to a first load and a second load from networked power plants. The method may include receiving a power delivery profile for the first load, receiving a power delivery profile for a second load, determining a power output capability of a first renewable energy power plant (REPP), and determining a power output capability of a second REPP. The method may also include setting a power output for the first REPP and a power output for the second REPP based on the power delivery profile for the first and second loads and the power output capabilities of the first and second REPPs. The method may also include allocating a combined power output of the first and second REPPs to the first and second loads and delivering the allocated combined power output to the first and second loads.