A method for estimating a present energy consumption of an electrically propelled vehicle powered by a propulsion battery. The method includes obtaining previous energy consumption values for a set of previous time instants, and a present drive pattern parameter value; estimating a present energy consumption based on a weighted moving average model fed with the energy consumption values, wherein, the weighted moving average model includes a modelled gain factor for each of at least a portion of the previous energy consumption values, where the modelled gain factors are modelled as a function of the drive pattern parameter.

A regulated power procurement segment determination unit refers to a renewable energy theoretical maximum value database and a renewable energy output database and determines segments for procurement of regulated power, a demand/supply control simulation unit refers to the renewable energy output database, a demand database, and a power generator database, performs demand/supply control simulation by using the segments for procurement of regulated power, renewable energy output data, demand data, and power generator data, and predicts, on the basis of the demand/supply control simulation results, frequency changes and procurement costs regarding the segments for procurement of regulation power, and a segment selection unit refers to a cost database and a frequency change database and selects a segment for procurement of regulation power on the basis of the frequency changes and the procurement costs regarding the segments on which prediction has been performed.

The present invention discloses a wind power consumption method of a virtual power plant with consideration of comprehensive demand responses of electrical loads and heat loads, which comprises: establishing a wind turbine output model, so as to obtain a wind power prediction curve; establishing heat load demand models before/after demand responses and heat supply equipment output models before/after the demand responses, so as to obtain the abandoned wind quantities per moment before/after the demand responses and the total abandoned wind quantities before/after the demand responses; judging that whether consumption is promoted or not according to the total abandoned wind quantities before/after the demand responses; and establishing a storage battery capacity model and judging the charging/discharging state and the charging/discharging capacity of a storage battery.

A building management system is communicably connected to an energy blockchain network to reduce energy costs of a building. The system includes an energy load balancer to distribute energy from a plurality of energy suppliers to power a load in the building, a processor, and memory storing instructions that causes the processor to: monitor energy pricing data from each of the energy suppliers; calculate a balanced load payload corresponding to an energy demand forecast for the building according to the energy pricing data from the energy suppliers; generate a smart contract corresponding to the balanced load payload in blocks of the energy blockchain network to procure energy from corresponding ones of the energy suppliers; and generate load balancing instructions for the energy load balancer based on the smart contract. The energy load balancer switches between the corresponding ones of the energy suppliers according to the load balancing instructions.

A virtual power plant system using a heat conversion device includes a plurality of distributed energy resources connected to a virtual power plant; a virtual power plant output adjustment device connected to the virtual power plant and including a heat conversion device that receives power generated from the plurality of distributed energy resources and converts the power into thermal energy, a virtual power plant management device configured to conduct a bidding by predicting an expected power generation amount of the plurality of distributed energy resources, analyze output variation and error of the virtual power plant due to an output variation of the plurality of distributed energy resources, and stabilize an output variation of the virtual power plant by controlling a power consumption amount of the virtual power plant output adjustment device based on the analysis result.

Various embodiments include a control apparatus for controlling a power consumption and/or a power output of an energy system via a network connection point of a low-voltage network, wherein a line voltage can be detected at the network connection point by the control apparatus. The control apparatus comprises a processor programmed to reduce the power consumption and/or to increase the power output if the line voltage is below a first threshold value and/or to increase the power consumption and/or to reduce the power output if the line voltage is above a second threshold value greater than the first threshold value.

Disclosed is a method of managing electricity providing in a computers cluster, including: a process of prediction of need of electricity provided by at least one renewable electricity source in the computers cluster, a process of prediction of availability of the electricity provided by the renewable electricity source, including: a step of managing failure risk of the renewable electricity source, by lowering the predicted availability, so as to: increase life expectancy of the renewable electricity source, and/or lower maintenance frequency of the renewable electricity source, a process of scheduling tasks in the computers cluster, based on both the prediction processes.

A monitoring system includes in-field measurement devices adapted to generate measurement data of a power supply network, and a processing unit adapted to process the measurement data using a local network state estimation model to calculate local network state profiles used to generate a global network state profile. The processing unit is adapted to process the measurement data to provide a relevance profile comprising, for the in-field measurement devices, a relevance distribution indicating a probability where an origin of a contingency within the power supply network resides. The processing unit is adapted to compute a similarity between a candidate contingency profile formed by the generated global network state profile and by the calculated relevance profile and reference contingency profiles stored in a reference contingency database of the monitoring system to identify a reference contingency profile having a highest computed similarity as a recognized contingency within the power supply network.

Systems, methods and apparatuses are provided for reducing peak energy demand and to smooth intermittent energy profiles from onsite variable energy sources and loads. Some embodiments use system level and device level analysis and optimization to adaptively adjust the operation of a behind the meter energy storage (BMES) to smooth out energy generation variabilities and follow a reference load signal, including at short time resolutions.

A distributed control system uses a central controller in Internet communication with a local controller to manage grid tie attachment with a battery to form an integrated battery energy storage system (BESS). The BESS is capable of charging or discharging the battery, as well as correcting grid phase with volt amp reactive (VAR) leading or lagging operation modes. Examples shown include simple BESS charging and discharging, BESS integrated with renewable energy sources (here photovoltaic), and direct current fast charge (DCFC) connections with an electric vehicle.