Abstract: A computer-implemented method for power grid anomaly detection using a convolutional neural network (CNN) trained to detect anomalies in electricity demand data and electricity supply data includes receiving (i) electricity demand data comprising time series measurements of consumption of electricity by a plurality of consumers, and (ii) electricity supply data comprising time series measurements of availability of electricity by one or more producers. An input matrix is generated that comprises the electricity demand data and the electricity supply data. The CNN is applied to the input matrix to yield a probability of anomaly in the electricity demand data and the electricity supply data. If the probability of anomaly is above a threshold value, an alert message is generated for one or more system operators.

Abstract: A computer-implemented method for power grid anomaly detection using a convolutional neural network (CNN) trained to detect anomalies in electricity demand data and electricity supply data includes receiving (i) electricity demand data comprising time series measurements of consumption of electricity by a plurality of consumers, and (ii) electricity supply data comprising time series measurements of availability of electricity by one or more producers. An input matrix is generated that comprises the electricity demand data and the electricity supply data. The CNN is applied to the input matrix to yield a probability of anomaly in the electricity demand data and the electricity supply data. If the probability of anomaly is above a threshold value, an alert message is generated for one or more system operators.

Abstract: Techniques are provided for limiting access to a feature in an application. Certain application features, such as access controlled features, are not generally accessible to all users of an integration cloud service system. When a user makes a request to access an access controlled feature, the system can determine whether user information satisfies the requirements to access a requested access controlled feature. If the user satisfies the requirements for the requested access controlled feature, an access key can be dynamically generated based on the user information.

Abstract: A system for storing data in an industrial production environment, the system comprises a distributed data management system stored on a plurality of intelligent programmable logic controller devices. Each intelligent programmable logic controller device comprises a volatile computer-readable storage medium comprising a process image area, a non-volatile computer-readable storage medium; a control program configured to provide operating instructions to a production unit; an input/output component configured to update the process image area during each scan cycle with data associated with the production unit; a distributed data management component comprising an instance of the distributed data management system; a contextualization component; a historian component; and a data analytics component.

Abstract: A system for managing data in an industrial production environment includes a distributed database system stored on a plurality of embedded controller devices. Each respective embedded controller device comprises: a distributed database instance and a database management application. The distributed database instance is configured to store data collected from the industrial production environment by the respective embedded controller device. The database management application is configured to facilitate distributed queries and transactions on the plurality of embedded controller devices.

Abstract: Improvements to a distributed automation power grid are selected to improve storm survivability. Using historical information about storms, link sets are determined that, when added to the power grid, would restore connectivity after damage by each of the storms. One of the link sets is then selected based on costs and rewards, and is added to a grid representation. Survivability of the modified grid representation is then estimated, and additional link sets are determined and selected until survivability surpasses a minimum level or a budget is exceeded.

Abstract: Techniques are provided for limiting access to a feature in an application. Certain application features, such as access controlled features, are not generally accessible to all users of an integration cloud service system. When a user makes a request to access an access controlled feature, the system can determine whether user information satisfies the requirements to access a requested access controlled feature. If the user satisfies the requirements for the requested access controlled feature, an access key can be dynamically generated based on the user information.

Abstract: A flexible control architecture for an electrical power microgrid provides resiliency when operating under varying threat levels. The architecture includes a microgrid control layer, an intermediate layer and a component control layer. A contingency level is computed based on conditions of the microgrid such as weather and system state. When the contingency level indicates a low degree of threat, the system operates in a centralized, top-down control configuration. When the contingency level indicates a high degree of threat, the system operates in a decentralized control configuration with the microgrid control layer performing only a monitoring function.

Abstract: A system for managing data in an industrial production environment includes a distributed database system stored on a plurality of embedded controller devices. Each respective embedded controller device comprises: a distributed database instance and a database management application. The distributed database instance is configured to store data collected from the industrial production environment by the respective embedded controller device. The database management application is configured to facilitate distributed queries and transactions on the plurality of embedded controller devices.

Abstract: A system for performing data mining on log record data includes a distributed processing system comprising a plurality of distributed nodes, each node having at least one of a storage device and a data processing device and a distributed data analytics processor configured to perform queries on a set of log records to select at least a portion of the log records and store the selected log records in a plurality of the distributed nodes, wherein the distributed data analytics processor is further configured to perform data analysis on the selected log records stored in the plurality of distributed nodes. The distributed nodes may be arranged in a cluster, with each node being in communication with each other node through a distributed file system. The processor may perform analysis on data stored across the distributed nodes with the processing being performed by a plurality of the distributed nodes in parallel.

Abstract: A method for managing allocation of electrical power includes selecting one or more power consuming entities for receiving a request to reduce electrical power usage (S23) based on data pertaining to past selections of entities for receiving requests to reduce power and a history of compliance with said requests (S22). A customized request to reduce power usage for each of the selected one or more power consuming entities is generated (S24). The generated customized request to reduce power usage is received at a corresponding power consuming entity and a cost associated with complying with the received customized request to reduce power usage is evaluated (S25). A commitment to comply with the received customized request to reduce power usage is returned when the evaluated cost is within a threshold of acceptability and negotiating a new request to reduce power when the evaluated cost is greater than a threshold of acceptability (S26).

Abstract: A solar energy system and method of cleaning photovoltaic panels is provided. Measurements relating to weather at a photovoltaic panel are received by the system. Measurements relating to output current and voltage at the photovoltaic panel are received by the system. Expected power of the photovoltaic panel is determined based on the measurements relating to weather. Actual power of the photovoltaic panel is determined based on the measurements relating to output current and voltage. In response to determining that the actual power is not within a predetermined range of the expected power (e.g. at least one photovoltaic panel is dirty), a cleaning of the photovoltaic panel is initiated.

Abstract: A flexible control architecture for an electrical power microgrid provides resiliency when operating under varying threat levels. The architecture includes a microgrid control layer, an intermediate layer and a component control layer. A contingency level is computed based on conditions of the microgrid such as weather and system state. When the contingency level indicates a low degree of threat, the system operates in a centralized, top-down control configuration. When the contingency level indicates a high degree of threat, the system operates in a decentralized control configuration with the microgrid control layer performing only a monitoring function.

Abstract: Transient survivability metrics are used to select improvements to distribution automation network designs. The approach combines survivability analysis and power flow analysis to assess the survivability of the distribution power grid network. Available investment decisions are then automatically optimized with respect to survivability and investment costs.

Abstract: Improvements to a distributed automation power grid are selected to improve storm survivability. Using historical information about storms, link sets are determined that, when added to the power grid, would restore connectivity after damage by each of the storms. One of the link sets is then selected based on costs and rewards, and is added to a grid representation. Survivability of the modified grid representation is then estimated, and additional link sets are determined and selected until survivability surpasses a minimum level or a budget is exceeded.

Abstract: A method for assessing survivability of a distributed automation power grid due to a failure including: identifying a location of a failed section of a grid and isolating the section; aggregating sections of the grid downstream from the failed section into a first group and sections of the grid upstream from the failed section into a second group; computing, using a Markov chain, a first parameter indicating whether a communication network of the grid is operational after the failure; computing, using a Markov chain, a second parameter indicating whether enough backup energy exists for the second group after the failure; and computing, using a Markov chain, a third parameter based on the first and second parameters, wherein the third parameter is indicative of the time required for the grid to be restored to its operating state prior to the failure, and the third parameter is computed by evaluating ESAIDI ? ( ? ) = ? j = 1 C ? ? ? j ? ? ? ( M _ j ? ( ? ) D _ j ? ( ? ) )

Abstract: A solar energy system and method of cleaning photovoltaic panels is provided. Measurements relating to weather at a photovoltaic panel are received by the system. Measurements relating to output current and voltage at the photovoltaic panel are received by the system. Expected power of the photovoltaic panel is determined based on the measurements relating to weather. Actual power of the photovoltaic panel is determined based on the measurements relating to output current and voltage. In response to determining that the actual power is not within a predetermined range of the expected power (e.g. at least one photovoltaic panel is dirty), a cleaning of the photovoltaic panel is initiated.

Abstract: A baseline editor is provided for creating a baseline calculator. A user interface allows description of the baseline algorithm in demand response domain terminology. A processor compiles the demand response domain terminology into computer code for calculating the baseline (i.e. a baseline calculator). Rather than relying on programmers to custom code the implementation of the baseline algorithm, the processor generates code based on demand response domain criteria. The entity creating the demand response program may utilize user interface to change the programming of the baseline algorithm to experiment in an effort to provide a desired incentive.

Abstract: A method for managing allocation of electrical power includes selecting one or more power consuming entities for receiving a request to reduce electrical power usage (S23) based on data pertaining to past selections of entities for receiving requests to reduce power and a history of compliance with said requests (S22). A customized request to reduce power usage for each of the selected one or more power consuming entities is generated (S24). The generated customized request to reduce power usage is received at a corresponding power consuming entity and a cost associated with complying with the received customized request to reduce power usage is evaluated (S25). A commitment to comply with the received customized request to reduce power usage is returned when the evaluated cost is within a threshold of acceptability and negotiating a new request to reduce power when the evaluated cost is greater than a threshold of acceptability (S26).

Abstract: A method for assessing the survivability of a distributed automation power grid in response to a failure. The method including: generating a failure in a section of a grid; identifying the location of the section and isolating the section; aggregating sections of the grid downstream from the failed section into a first group and sections of the grid upstream from the failed section into a second group; computing, using a Markov chain, a first parameter indicating whether a communication network of the grid is operational after the failure; computing, using a Markov chain, a second parameter indicating whether enough backup energy exists for the second group after the failure; and computing, using a Markov chain, a third parameter based on the first and second parameters, wherein the third parameter is indicative of the time required for the grid to be restored to its operating state prior to the failure.