An engine system and methods for dispatching and controlling a plurality of distributed energy resources, e.g., a plurality of microgrids, involving: a server; a controller configured to operably couple with the server and the plurality of DERs; and at least one processor configured to operably couple with the server and the controller, the at least one processor configured to operate the server and the controller in an online mode and an offline mode, whereby at least one of forecast information and real-time information is providable, operational expense is reducible, and at least one new revenue generation avenue is establishable.

An example operation includes one or more of estimating a time of peak usage of electricity at a location; and preparing for the peak usage prior to the time, where the preparing includes: charging batteries at the location to a level associated with an end time of peak usage; and notifying the location to preserve the charged level.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for polymer production processes are described. A method may include accessing a distributed ledger comprising an instruction set for a polymer production process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and providing a provable access to the instruction set. The method may further include providing commands to a production tool of the polymer production process and recording the transaction on the distributed ledger.

Disclosed are a hybrid power generation facility and a control method thereof. The hybrid power generation facility includes a gas turbine including a compressor configured to compress air introduced from an outside, a combustor configured to mix the compressed air with fuel and to combust the air and fuel mixture, and a turbine configured to produce power with first combustion gas discharged from the combustor, a GT (gas turbine) generator configured to generate electric power using a driving force generated by the gas turbine, a boiler including a combustion chamber and configured to mix the first combustion gas supplied from the turbine of the gas turbine with air and fuel supplied from the outside, a steam turbine through which steam generated in the combustion chamber passes, a ST (steam turbine) generator configured to generate electric power using a driving force generated by the steam turbine, and an energy storage system configured to be charged based on a decrease rate of power demand of a grid and a maximum decrease rate of power supply from the GT generator and the ST generator.

A charge control system includes: a charging device having a first processor configured to store electric power to be supplied to a preset area; and a charge control device having a second processor configured to acquire brightness information in the area, calculate a charge amount of the charging device on a basis of the acquired brightness information, and perform charge control of the charging device on a basis of the calculated charge amount. Further, when calculating the charge amount, the second processor calculates the charge amount in such a manner that the charge amount decreases as brightness in the area increases.

A computer-implemented method includes extending simulation results and input data of a DC production cost model (PCM) of a power grid to an initial AC power flow model (PFM) using a generation distribution mapping and load distribution mapping of a related PFM base example associated with the PCM, and automatically producing a chronological series of converged AC PFM solutions associated with a PCM time series by, for each time step of the PCM time series: (i) updating inputs of an AC PFM using (a) PCM results of the current time step and (b) solution outputs of a converged AC PFM obtained from a previous PCM time step, and (ii) iteratively, reducing nodal loads by a gradual amount configured to account for power grid power flow losses unaccounted for by the PCM and performing AC PFM numerical analyses, until: (a) an AC PFM convergence is obtained and (b) a real power generation slack bus is less than or equal to a predefined tolerance in relation to a slack bus of the PCM results of the current time step.

A method of controlling output of an ESS depending on droop control according to frequency variation range of a power grid in the present invention may comprise steps of: monitoring the frequency variation range of the power grid; predicting frequency correction range resulting from regulation of an engine generator during a predetermined unit regulation time if the frequency variation range is determined to exceed a first reference value; controlling the output of the ESS with an output value determined by a frequency of the power grid according to a droop control algorithm set as a default if the predicted frequency correction range does not exceed a second reference value; and fixing the output of the ESS during the unit regulation time if the predicted frequency correction range exceeds the second reference value.

Techniques for forecasting solar power generation include a computing device determining a clear-sky solar power generation level for a photovoltaic installation; receiving, from a first measurement device, measurement data indicating an amount of cloud cover at a first location of the first measurement device, wherein the first measurement device and the photovoltaic installation are located in a same geographical area; and generating a solar power generation forecast for the photovoltaic installation based on the clear-sky solar power generation level and the measurement data.

A switching state of a switching arrangement of an electrical distribution arrangement is optimized. In each switching state, an outgoing circuit of the distribution arrangement is connected to a supply by the switching arrangement via a component. Each state differs from others in that the outgoing circuit is connected to the supply via another component. The switching arrangement has enough switching states that each outgoing circuit is connectable to a supply via two different components. An outgoing circuit is presented based on: operating parameters of the components, a switching state, outgoing loads; environmental parameters of the electrical components, forecasted environmental parameters, and forecasted outgoing loads. Forecasted operating parameters are simulated to compare future operating parameters with limit values. Based on likely exceeding limit values in the future, an alternative switching state is suggested such that limit values are not exceeded.

A controller for a DC microgrid and associated renewable energy source, RES, units. The DC microgrid comprises energy storage, ES, units and consumer units that are interconnected by a DC distribution network. The DC microgrid is connected to an AC grid to allow power to flow between the DC microgrid and the AC grid. The controller has three levels: a first for controlling daily operations, a second for making optimizing adjustments to the first level control based on historical data and the weather forecast, and a third which is an analysis level for modelling how changes in provision of the number of RES units and ES units would affect the DC microgrid's dependency on power from the AC grid. The output of the third level thus enables incremental changes to be made to provision in order to reduce, ideally eliminate, the net power demand from the AC grid.