Abb Research Ltd.

Abb Schweiz Ag

Thomas Von Hoff

Konrad Stadler

Andreas Poncet

Alexandre Oudalov

Bernhard Deck

Mehmet Mercangoez

Mario Crevatin

Andrew D Paice

Christoph Stemmler

Hans-Peter Züger

Urs Ehrler

Florian Straub

Geir Hovland

A method for controlling an energy storage system for connection to a power system, and such an energy storage system are provided. The method makes use of a model based predictive controller to optimize the charging/discharging rates of energy storage elements in a hybrid energy storage system. The method includes determining respective desired charging/discharging rates for the energy storage elements in dependence upon state of charge predictions from respective models of the storage elements, using model predictive control, and adjusting respective charging/discharging rates of the storage elements in accordance with the determined rates. The energy system includes a controller configured to control respective charging/discharging rates of the energy storage elements in accordance with the method.

Energy storage systems

A drive unit for driving and starting a motor in the form of an internal combustion engine designed for driving a traction generator coupled to the motor.

Drive unit for driving a motor

The present disclosure is concerned with operation of an energy storage system (ESS) connectable to an electric power system. The charging-discharging schedule of the ESS can be determined through application of a time-dependent forecast of ESS and power system states based on historical data. Exemplary embodiments can include ESSs which have been historically activated with a certain periodicity, for example, for power system load leveling, frequency regulation, arbitrage, peak load shaving and/or integration of renewable power generation.

Method for operating an energy storage system

For monitoring (unmeasured) process states of a rotating machine having a combustion chamber (e.g. a gas turbine), compositions of educts entering the combustion chamber are measured. Based on the compositions of the educts, the composition of the product produced by the combustion chamber can be determined. Moreover, the mechanical power (P) generated by the rotating machine can be determined. Based on the mechanical power (P), the composition of the educts and product, and stoichiometric relationships of educts and product, the values of process states, such as the air mass flow (w) through the compressor leading into the combustion chamber and/or the gas mass flow (w), the composition and/or the temperature (T) of exhaust gas exiting the combustion chamber can be determined. Based on precise measurements of the educt (e.g. the composition of air and fuel in the combustion process), the product (i.e. the composition of the exhaust gas and its temperature) is derived and, without the need of an iterative or recursive method, the turbine inlet temperature (T) can be monitored and controlled.

Method and system for monitoring process states of an internal combustion engine

The present invention is concerned with the estimation of health parameters p(k) representing symptoms of a slowly degrading system, in particular industrial gas turbines. According to the invention, an estimation of a true health or independent parameter vector at time step k uses the estimation of the true health or parameter vector at a previous time step k&#x2212;1 as a starting value for the production of a predicted health parameter vector at time step k. Based on the latter and a set of measured values of input variables of an extended model of the system, a prediction of output variables of the model is produced. This predicted model output is compared with measured values of the output variables to yield an error. From this error, a health parameter estimator in turn produces a health parameter estimate as a revision of the predicted health parameters. Preferably, the estimation of a true health or independent parameter vector at time step k includes a generalised process noise representing stochastic uncertainty and/or a-priori knowledge of an evolution of the health parameters.

Estimating health parameters or symptoms of a degrading system

The invention relates to a method for remotely controlling and/or regulating at least one system (), in particular an industrial system using a communications device () which is assigned to the system (), and at least one receiver device (), information relating to the system being transmitted from the communications device () to the at least one receiver device (), the information containing a validation code which is generated by the communications device (), a message being received by the communications device (), the communications device () extracting a check code and instruction information from the message according to a first extraction rule, the communications device () validating the message by means of the validation code and check code, and the instruction information being implemented by the system () only when the validation is successful.

Method for remotely controlling and/or regulating a system

The present disclosure is concerned with the identification of fault origins of slowly degrading systems such as industrial gas turbines. Following the initial input of some parameter values, exemplary procedure comprises a number of steps which are repeated periodically during the operation of the gas turbine. First, for each potential fault such as e.g. a contamination of compressor blades, erosion of turbine blades or corrosion of machine parts, a pre-symptom fault probability, characteristic of the specific gas turbine considered, and a symptom-conditional fault probability are calculated. In a second step, on-line data from the monitoring devices are loaded in order to update information about symptoms such as e.g. reductions in polytropic efficiency and in flow capacity, changes in vibration spectrum, or other machine condition indicators, and a post-symptom fault probability is calculated. In a third step, the calculated fault probabilities are displayed and transmitted to a planning system for scheduling of gas turbine operation or maintenance actions.

Monitoring a degrading system

The present invention is concerned with the estimation of health parameters p(k) representing symptoms of a slowly degrading system, in particular industrial gas turbines. According to the invention, an estimation of a true health or independent parameter vector at time step k uses the estimation of the true health or parameter vector at a previous time step k&#x2212;1 as a starting value for the production of a predicted health parameter vector at time step k. Based on the latter and a set of measured values of input variables of an extended model of the system, a prediction of output variables of the model is produced. This predicted model output is compared with measured values of the output variables to yield an error. From this error, a health parameter estimator in turn produces a health parameter estimate as a revision of the predicted health parameters. Preferably, the estimation of a true health or independent parameter vector at time step k includes a generalized process noise representing stochastic uncertainty and/or a-priori knowledge of an evolution of the health parameters.

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Niederrohrdorf, Switzerland

Thomas Von Hoff