Physical and/or financial instruments may optimally hedge the cash flow of one or more renewable energy generators based on a desired risk and return profile of renewable infrastructure investors. Baseline revenues may be determined based on forward-looking electricity market price scenarios corresponding to qualified market products intended for sale from the renewable energy generators. Risk and return metrics of cash flows of the renewable energy generators may be determined. At least one physical hedge and/or financial hedge may be added. The size and operation of the renewable energy generators along with any physical hedges, or financial hedges, or both physical and financial hedges, may be optimized across multiple market price scenarios of qualified market products to optimize investor-tailored risk and return utility functions.

A radiation risk assessment method and apparatus, an electronic device, and a storage medium. The method comprises: determining a risk signal to he assessed on the basis of a product design model, and determining whether the risk signal to be assessed is periodic (S101); if yes, determining a spectral amplitude corresponding to the risk signal to be assessed (S102); obtaining current intensity of a radiation source and the distance between the risk signal to be assessed and the radiation source (S103); calculating radiation intensity of the risk signal to be assessed by using the spectral amplitude, the current intensity, and the distance (S104); and determining a corresponding radiation risk assessment result according to the radiation intensity (S105). Radiation intensity of a risk signal to be assessed is calculated by using current intensity of a radiation source and the distance between the risk signal to be assessed and the radiation source, thereby achieving quantitative radiation risk assessment; moreover, the risk signal to be assessed is determined on the basis of a product design model, and thus radiation test can be carried out without waiting until the later period of product production, thereby effectively reducing labor and material resources consumed for later rectification due to high radiation risk.

An energy dispatch system, apparatus, and method are disclosed. The energy dispatch system includes a server and multiple site controllers respectively corresponding to multiple users. Each user corresponds to an energy storage device, and each energy storage device has a stage of charge. The server determines a scheduled power consumption target of each scheduling period for each user according to a total support power, multiple power consumption references of the users, and the stages of charge. The server transmits each scheduled power consumption target corresponding to a first scheduling period of the scheduling periods to the corresponding site controller. Each site controller controls the corresponding energy storage device to charge or discharge according to the corresponding actual load and the corresponding state of charge in the first scheduling period so that the power consumption of the corresponding user during the first scheduling period meets the corresponding scheduled power consumption target.

An electronic device for monitoring. The electronic device includes a functional module arranged to provide an active function, a communication module arranged to communicate with an external communication device, and an energy harvesting module arranged to transform a source energy from an external source to electrical energy for energising both the communication module and the functional module.

A method of obtaining at least one operating parameter of an electrical substation component. The method comprises: providing the electrical substation component with a machine-readable code, non-human-readable, including the a operating parameter of the electrical substation component, the operating parameter includes a network connection parameter corresponding to the electrical substation component; providing an electronic module able to read the network connection parameter from the machine-readable code, the electrical substation component and the electronic module are in communication with a communications network; configuring the electronic module to read the network connection parameter from the machine-readable code and retrieve the network connection parameter from the machine-readable code; configuring the electronic module to use the network connection parameter retrieved from the machine-readable code to form a direct network connection with the electrical substation component to enable communication between the electronic module and the electrical substation component via a digital communication link.

A power grid system and a method of consolidating power injection and consumption in a power grid system. The power grid system comprises a power grid; at least one load connected to the power grid; a first meter configured for metering power imported from the power grid to the load; at least one intermittent power source connected to the power grid, a second meter configured for metering power generated by the intermittent power source; and a consolidation unit configured for associating readings from the first and second meters such that at least a portion of the power generated by the intermittent power source is offsettable with the power imported from the power grid to the load.

A method includes obtaining a state of charge (SOC) schedule for an energy storage device and a time-dependent forecast of electrical energy production by a renewable electrical energy generation resource; generating a time-varying charge/discharge control signal for the electrical energy storage device based on the time-dependent forecast of electrical energy production, wherein the time-varying charge/discharge control signal is configured to maintain an average SOC of the energy storage device as low as possible while satisfying the SOC schedule; and controlling charging and discharging of the energy storage device with the time-varying charge/discharge control signal.

An object of the present invention is to improve the accuracy of prediction in a technique for predicting natural energy power generation amount, solar radiation amount or wind speed by using a statistical method based on machine learning. In order to achieve this object, provided is a prediction apparatus (10) including a feature value extraction unit (13) that extracts a feature value being a variation in time series from meteorological data from m (m is 2 or more) hours before a target time to the target time, and an estimation unit (first estimation unit (14)) that estimates a natural energy power generation amount, a solar radiation amount, or a wind speed at the target time based on the feature values over plural days.

Methods and apparatus are provided herein. For example, a method for maintaining a power conversion system can include transmitting, to a computing apparatus in operable communication with the power conversion system, an alert message indicating non-working microinverters and which of the non-working microinverters are under warranty and eligible for replacement; receiving, from the computing apparatus, a request for replacement for the non-working microinverters; and transmitting, to the computing apparatus, an acknowledgment message indicating that the request has been successfully received and replacements for the non-working microinverters are being shipped.

Embodiments of the disclosure can relate to providing an integrated power plant advisor. In one embodiment, a method for providing an integrated power plant advisor can include receiving a signal associated with a failure of a power plant or a power plant component. The method can further include determining one or more root causes associated with the failure of the power plant or the power plant component. Based at least in part on operational data and training data from one or more power plants, a ranking of the one or more root causes associated with the failure of the power plant or the power plant component can be determined. The method can further include outputting the ranking via a client device. Based at least in part on the ranking, a repair or replacement strategy for the power plant or the power plant component can be identified.