Disclosed is a power management device including a monitoring unit configured to monitor power usage statuses of a plurality of sites individually, a determination unit configured to determine whether to supply the surplus power to a second site of the plurality of sites when the monitoring unit detects that surplus power is generated in a first site of the plurality of sites in accordance with a prediction of a power transmission loss between the first site and the second site, and a site control unit configured to instruct the first site to supply the surplus power to the second site when the determination unit determines that the surplus power is to be supplied to the second site.

This invention relates to a surface finish manufacturing system and process and more particularly, but not exclusively, to a contrast surface finish manufacturing system and process for producing boards with a wood texture finish. The surface finish manufacturing system comprises a top layer and a bottom layer where part of the top layer is removed to expose part of the bottom layer.

A module controller and a method for controlling operation of power producing modules in a power producing system are provided. The module controller comprises a processor and a memory, configured to store instructions, which when executed by the processor performs the method by causing the module controller to identify each power producing module connected to the module controller, retrieve a control logic for and associated with each of the identified power producing modules, determining the order in which the power producing modules are to be controlled by the module controller, allocate processor time to each power producing module and control the operation of each power producing module by executing, in the processor, the associated control logic.

Systems and methods herein automate detection of switched-capacitor bank operation on a power grid. At least one power line sensor (106) may be positioned on a power line to measure electric field strength and current. A processor may be in communication with the power line sensor and memory storing a capacitor bank analyzer as computer readable instructions that, when executed by the processor, control the processor to: receive electric field data and current data from the power line sensor. The processor may extract key characteristics from the electric field data and the current data, compare the key characteristics to a library of key characteristics of a predictive model, and output, based on the predictive model, a label indicating presence of, or lack of, a capacitor switching event. E-field and current data from multiple line sensors may be aggregated to provide additional insight to capacitor bank operation.

A transaction harmony degree-based method and system for transaction matching between a power grid and building energy. The method includes: obtaining a transaction harmony degree of a historical transaction cycle; sending, by using a blockchain, the transaction harmony degree to a corresponding building energy user, and sending a maximum compensated electricity price and an expected compensated electricity price in peak-valley regulation to all building energy users; determining, by each building energy user, a transaction-based compensated electricity price in the peak-valley regulation based on the received transaction harmony degree and the received maximum compensated electricity price and expected compensated electricity price in the peak-valley regulation, and feeding back the transaction-based compensated electricity price in the peak-valley regulation to a power grid; and determining, by the power grid, a building energy user that successfully performs transaction matching with the power grid.

A method for assisting control of an electrical supply grid) or a portion thereof is provided. The method includes recording system states of the grid and/or influencing the grid, transmitting the states to a central evaluation and/or control unit and/or between other subscribers, including wind turbines and/or wind farms that supply the grid, for use in controlling their supply to the grid. The method includes controlling the grid on the basis of the transmitted states. Fundamentally identical states are simultaneously recorded at multiple recording locations associated with the grid and the recording of at least one of the states at a respective recording location is performed by a turbine and/or farm and the turbine or farm recording a state at one recording location and the turbine or farm recording a state at another recording location are independent at least such that they supply to the grid at different points.

Waveforms in power grids typically reveal a certain pattern with specific features and peculiarities driven by the system operating conditions, internal and external uncertainties, etc. This prompts an observation of different types of waveforms at the measurement points (substations). An innovative next-generation smart sensor technology includes a measurement unit embedded with sophisticated analytics for power grid online surveillance and situational awareness. The smart sensor brings additional levels of smartness into the existing phasor measurement units (PMUs) and intelligent electronic devices (IEDs). It unlocks the full potential of advanced signal processing and machine learning for online power grid monitoring in a distributed paradigm. Within the smart sensor are several interconnected units for signal acquisition, feature extraction, machine learning-based event detection, and a suite of multiple measurement algorithms where the best-fit algorithm is selected in real-time based on the detected operating condition. Embedding such analytics within the sensors and closer to where the data is generated, the distributed intelligence mechanism mitigates the potential risks to communication failures and latencies, as well as malicious cyber threats, which would otherwise compromise the trustworthiness of the end-use applications in distant control centers. The smart sensor achieves a promising classification accuracy on multiple classes of prevailing conditions in the power grid and accordingly improves the measurement quality across the power grid.

Systems and methods for identifying optimal siting locations for an energy storage system. Siting locations are identified based on a value index derived from pricing data associated with a plurality of nodes on an electrical grid. An index is derived for each selected node of the plurality of nodes to produce a siting recommendation.

A photovoltaic system includes an inverter and a plurality of photovoltaic units connected to the inverter. Each photovoltaic unit includes a controller and one or more photovoltaic modules connected to the controller. The controller in each photovoltaic unit is further configured to obtain a power carrier signal sent by a controller in another photovoltaic unit of the plurality of photovoltaic units, determine an attenuation reference factor of the power carrier signal based on the obtained power carrier signal, and send the attenuation reference factor to the inverter. The inverter is further configured to group the plurality of photovoltaic units based on the attenuation degree of the power carrier signal obtained by each photovoltaic unit. This application can implement automatic grouping of photovoltaic units.

A hardware processor may be coupled to a communication network and receive charging requests and discharging requests from a plurality of prosumer facilities via the communication network. One or more energy storage systems may be coupled to an energy grid and able to charge from and discharge to the energy grid, and may communicate with the hardware processor via the communication network. Based on the charging requests and discharging requests, an energy schedule may be generated. The energy schedule may include a first set of the prosumer facilities from which charge requests are accepted, and a second set of prosumer facilities from which discharge requests are accepted. One or several energy storage systems may be controlled or triggered to charge or discharge repeatedly via the energy grid according to an updated energy schedule (e.g., regularly updated).