A simulation apparatus includes a database configured to a set line parameter for a system line configuring a power system; a parameter error detector configured to compare surveyed data measured in the system line and the line parameter to detect error of the line parameter; a system analysis simulator configured to perform a system analysis simulation based on the surveyed data and the line parameter; and a monitor configured to display an error detection result of the line parameter from the parameter error detector and a system analysis simulation result performed in the system analysis simulator.

A computer-implemented method includes receiving a unit, wherein each unit includes one or more blocks. The computer-implemented method further includes selecting one or more input pins for each of said one or more blocks. The computer-implemented method further includes assigning a numerical value to each of said one or more input pins to yield at least one numerical sequence. The computer-implemented method further includes, for each numerical sequence of the at least one numerical sequence, performing a check on the numerical sequence to yield a number of fails. The computer-implemented method further includes determining a simulation condition for power modeling of the unit based on optimizing a numerical sequence with respect to the number of fails. The computer-implemented method further includes determining a number of design errors of the unit based on the simulation condition. A corresponding computer system and computer program product are also disclosed.

Methods for analyzing a power system is presented. In some embodiments, a method may analyze system data, reduce the analyzed system data based on a set reduction level, model a device and a high voltage direct-current (HVDC) system interlinked to the device, and reflect the modeled result to the reduced system data.

Disclosed is a method and instrumentation for predictive and adaptive controllers devised to ensure uninterrupted operation of standalone electrical supply systems powered by sustainable energy sources. The device hereby referred to as SelfMaster is an expert system that manages the energy conversion, storage, and consumption in an isolated electric grid based on data collected during past and current operation of the system and predicted future states of the primary energy sources, storage level, and demand. The sustainable primary energy sources managed by SelfMaster may include, but not limited to, wind force, solar radiation, and biofuels. The energy storage system is a combination of batteries, hydrogen, biofuel, and hot water tanks. Electric demand consists of critical, non-critical, and deferrable loads identified according to the activities supported by the supply system.

Disclosed are systems and methods for simulating proximity detection of physical effects, the system including an external probe; a base unit associated with the external probe via a connector, the base unit comprising at least one processor coupled to the connector, the at least one processor configured to compute results based on an input received from the external probe; an input device; and a graphical display unit configured to display at least one of the computed results from the at least one processor and the input received from the input device and input received from the external probe.

Disclosed are systems and methods for simulating proximity detection of physical effects, the system including an external probe; a base unit associated with the external probe via a connector, the base unit comprising at least one processor coupled to the connector, the at least one processor configured to compute results based on an input received from the external probe; an input device; and a graphical display unit configured to display at least one of the computed results from the at least one processor and the input received from the input device and input received from the external probe.

A method of designing and modifying electrode materials for a battery device is disclosed in this invention. The method includes constructing a first principle model for battery electrode material properties estimation and screening. The method also includes applying a structural and compositional modification on the first principle model. In some embodiments, the method includes developing a hybrid physical model to estimate the battery cell cycling behavior with the calculated and experimental parameters. The method and the simulation models have the advantage that both atomic level and physical structure will be considered for the battery electrode and its modified derivatives with small compositional or structural changes. Therefore, both the time consumption and accuracy for battery electrode material designing and modification for specific application requirements can be improved.

A system for fault detection and diagnostics of equipment. The system may also be capable of disaggregation and/or virtual submetering of energy consumption by equipment, such as that of heating, ventilation and air conditioning, lighting, and so forth, in a building. Vibration and current sensors, along with one or more algorithms, may be utilized for fault detection and diagnostics of equipment. Models may be developed to aid in deducing energy consumption of individual components of equipment, and the like, for a building.

Examples of energy forecasting in hierarchical energy systems are provided herein. A global forecast model instance for a hierarchical energy system can be determined through aggregation of energy forecast model data from individual energy smart meters. Energy forecast model data can include values for energy forecast model parameters used by the individual smart meters. The energy smart meters include measurement, forecasting, and calculation capabilities. The smart meters locally determine a forecast model instance used by the smart meter and provide corresponding information to higher levels in the energy system hierarchy. A global forecast model instance is determined based on the provided information.

Disclosed is an overcurrent simulation method when a nail penetrates a secondary battery and a recording medium storing the program. The overcurrent simulation method according to the present disclosure constructs a safety device and a secondary battery equivalent circuit, and produces a nail penetration effect by changing a resistance value. In this instance, various current simulations may be obtained by changing a first metal sheet and a second metal sheet included in the safety device, and a resistance value limiting an overcurrent may be calculated.