The application involves a stability evaluation method and system of direct-drive wind turbine generator, which belongs to the technical field of wind power generation. It solves the problems of poor stability of direct-drive wind turbine generator, low safety performance, failure to realize mutual cooperation between online stability evaluation and parameter adjustment in the existing technology. Firstly, the variation of direct-drive wind turbine generator terminal voltage, current, power and PLL angle of direct-drive wind turbine generator is measured, the terminal energy and the energy negative gradient of direct-drive wind turbine generator is calculated. Then, the system stability is assessed according to the value of energy negative gradient, the influence of the critical parameters on system stability is analyzed and the preliminary adjustment strategy is proposed. It realizes the mutual cooperation between stability level evaluation and parameter adjustment, and improves the working efficiency of the system.

A method and system for managing and sourcing materials and services for energy retrofit projects. An electronic energy retrofit project portal provides real-time designing, specifying, searching, pricing, quoting, ordering, and tracking of energy audit project materials and services required for a desired energy retrofit project. The functionality of the electronic energy retrofit project portal is available in real-time directly and from within existing design programs that create and provide energy audits and available as a standalone portal.

Methods and systems for originating and monitoring energy transactions using distributed ledger technology are provided. In one embodiment, a method is provided that includes receiving a first request to originate a contract associated with an energy transaction. The first request may include a first draft of the contract. A first transaction may be generated based on the first draft of the contract and may be added to a distributed ledger. Transaction information regarding the energy transaction may be received and a second draft of the contract may be generated based on the transaction information. A second transaction may be generated based on the second draft of the contract and may be added to the distributed ledger.

A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

The present disclosure provides a computer-implemented method for ranking one or more control schemes for controlling peak loading conditions and abrupt changes in energy pricing of one or more built environments associated with renewable energy sources. The computer-implemented method includes analysis of a first set of statistical data, a second set of statistical data, a third set of statistical data, a fourth set of statistical data and a fifth set of statistical data. Further, the computer-implemented method includes identification and execution of the one or more control schemes. In addition, the computer-implemented method includes scoring the one or more control schemes by evaluating a probabilistic score. Further, the computer-implemented method includes ranking the one or more control schemes to determine relevant control schemes for controlling real time peak loading conditions and abrupt changes in energy pricing associated with the one or more built environments.

An integrated intelligent building management system is disclosed and includes a cloud management system having a cloud configuration platform, an intelligent building system corresponding to a building and having a ground configuration platform, and an intelligent building kit connected with multiple equipment in the building. The cloud configuration platform establishes multiple cloud configuration files. The intelligent building system obtains one cloud configuration file according to the MAC address and performs a ground configuration procedure confined by the cloud configuration file. When the intelligent building kit communicates with the intelligent building system, the ground configuration platform activates a configuration module corresponding to the kit category of the intelligent building kit to perform configuration to the intelligent building kit and establishes a ground configuration file, and the ground configuration platform exports the ground configuration file to the intelligent building kit to finish the ground configuration procedure.

A method of energy dispatch for an energy storage device component of a local energy generation plant, the method including obtaining a charge/discharge profile for the energy storage device, quantifying an amount of energy generation available from energy source components of the local energy generation plant, accessing a degradation factor for the energy storage device, forecasting a future cost for storing energy in the energy storage device, evaluating the future cost, providing instruction to an energy storage plant control unit to increase energy storage in the energy storage device based on a result of the evaluation, else, instructing the energy storage plant control unit to decrease energy storage in the energy storage device, and shedding power from the energy source components if a recommendation to shed power was provided. A system for implementing the method and a non-transitory computer-readable medium are also disclosed.

A system includes a database storing demand response data, the demand response data including demand response agreement parameters, demand response load and energy demand characteristics of one or more demand response customers, the demand response load characteristics including power consumption capacity of each of one or more demand response loads, an aggregator to aggregate the demand response loads based on the demand response data and forecast data into a demand response portfolio, a monitor to monitor power demand of one or more demand response customers and one or more power grids, and a dispatcher to notify the one or more demand response customers of the demand response portfolio and to notify a utility of a response from the one or more demand response customers whether to control the demand response load to return the power consumption capacity of the demand response load back to the one or more power grids.

The present disclosure describes systems and methods for quantifying operating strategy energy usage. One embodiment describes an industrial control system that includes a tangible, non-transitory, computer readable medium storing a plurality of instructions executable by a processor of the industrial control system. The instructions include instructions to determine a plurality of operating strategies associated with an industrial automation component that is communicatively coupled to the industrial control system, in which each of the plurality of operating strategies includes a set of operational parameters associated with the industrial automation component, determine an expected energy usage cost associated with the industrial automation component for each of the plurality of operating strategies, determine an expected value added associated with the industrial automation component for each of the plurality of operating strategies, and select one of the plurality of operating strategies for operating the industrial automation component based at least in part on the expected energy usage cost and the expected value added associated with each of the plurality of operating strategies.

Provided is a control method of a complex energy system that supplies heat and power to energy consumers through a heat network and a power network. The control method includes monitoring energy consumption information of the energy consumers and confirming an energy price applied to each of the energy consumers, calculating a total energy consumption cost of the energy consumers according to the energy price and the energy consumption information, and controlling a cogenerator and a heat generator so that a sum of a power supply amount of the cogenerator and a power consumption amount from an external power grid is equal to a total power consumption amount of the energy consumers, a sum of a heat supply amount of the cogenerator and a heat supply amount of the heat generator is equal to a total heat consumption amount of the energy consumers, and a target function value obtained by subtracting the total energy consumption cost from a sum of a power consumption cost from the external power grid and operating costs of the cogenerator and the heat generator is maximized.