Abstract: A method for determining a physical model of an energy installation from a plurality of components linked together according to one or more constraints to form a tree, called tree of constraints, each component including one or more output ports, each output port being associated with a physical quantity of which the value depends on one or more variables internal to the component and/or on one or more variables external to the component, each external variable being communicated to the component through an input port. A second aspect relates to a method for controlling an electrical installation including a first phase of determining a physical model of the installation using the described method; and a second control phase during which each set point is determined as a function of a simulation carried out using the physical model obtained during the phase of determining a physical model of the energy installation.

Abstract: A method for detecting an operational malfunction of a renewable energy power plant includes measuring the energy production of the power plant over a time period, designated production period Tprod; calculating an actual production indicator from the production measured during the measuring of the energy production; calculating, from a physical model of the power plant, a theoretical production indicator over the production period Tprod; calculating the ratio between the actual production indicator and the theoretical production indicator over the production period Tprod; the measurement of the performance being given by the value of the ratio between the actual production indicator and the theoretical production indicator.

Abstract: A method for determining a physical model of an energy installation from a plurality of components linked together according to one or more constraints to form a tree, called tree of constraints, each component including one or more output ports, each output port being associated with a physical quantity of which the value depends on one or more variables internal to the component and/or on one or more variables external to the component, each external variable being communicated to the component through an input port. A second aspect relates to a method for controlling an electrical installation including a first phase of determining a physical model of the installation using the described method; and a second control phase during which each set point is determined as a function of a simulation carried out using the physical model obtained during the phase of determining a physical model of the energy installation.

Abstract: A method for determining the output physical quantity Y of a system from an input physical quantity X of the system and a non-linear convex physical model of the system associating with an input physical quantity xi an output physical quantity yi, the method including determining, using the non-linear physical model, a plurality of operating points Mi of coordinates (xi, yi) with i ? [1, N]; determining an optimal vector Uopt among a plurality of vectors Uj, the vectors Uj including N coordinates uij ? [0,1], the constraints on the coordinates being: { X = ? i = 1 N ? x _ i × u i j ? i = 1 N ? u i j = 1 , the optimal vector Uopt being associated with the following lowest objective function: M×?i=1Nyi×uij where M is a weighting coefficient strictly greater than zero; and determining the output physical quantity Y given by: Y=?i=1Nyi×uiopt.

Abstract: A method for detecting an operational malfunction of a renewable energy power plant includes measuring the energy production of the power plant over a time period, designated production period Tprod; calculating an actual production indicator from the production measured during the measuring of the energy production; calculating, from a physical model of the power plant, a theoretical production indicator over the production period Tprod; calculating the ratio between the actual production indicator and the theoretical production indicator over the production period Tprod; the measurement of the performance being given by the value of the ratio between the actual production indicator and the theoretical production indicator.

Abstract: The energy system incorporates an energy production device (2) and a plurality of energy storage modules (3A-3D). The method comprises the following steps implemented by the management device (4): formulation of a forecast plan for production of energy output by the system for a future period, and incorporation (E5) of at least one related operation on a storage module in the production plan of the system. The incorporation of a related operation on a storage module in the production plan comprises the formulation of a forecast plan for operation of the storage module containing setting to an initial state of charge required for the related operation, a step for execution of a power profile of the related operation and stoppage of the said execution step when a criterion for stoppage of the related operation is satisfied.

Abstract: Method for recharging a pool of batteries from a recharging device (10) comprising several recharging terminals (14) supplied electrically from at least one energy production source (11), characterized in that it comprises the following steps: Estimation of the future production of energy, i.e. the predicted energy Epredicted and the predicted power Ppredicted(t) as a function of time t, in the course of a reference period by at least one energy production source; Estimation of the energy need ?i Ei(t) for the recharging of the batteries present in the recharging device; Computation of a dummy power Pdummy which is less than or equal to the predicted power and able to address all or part of this energy need in a dummy period which may or may not be distinct from the reference period; Scheduling of the rechargings of the batteries present in the recharging device over this dummy period.

Abstract: The method for managing the charging of a pool of batteries on the basis of a charging system (1) having several charging terminals (2) supplied electrically from at least one energy production source (5, 6), includes: initializing a recharging date for each battery, defining a neighbourhood (E12) including a set of recharging dates in proximity to a previously employed recharging date, computing the performance (E13) of a new solution obtained by replacing the previously employed recharging date with recharging dates in the defined neighbourhood, storing the recharging date which gives the best performance subsequent to the performance computation (E13) and replacing the previously employed recharging date with this new recharging date, testing an end-of-computation criterion (E20), and if the criterion is not attained, performing a new iteration of defining, computing and storing and replacing steps while considering a neighbourhood of reduced duration with respect to the previous iteration.

Abstract: Method for recharging a pool of batteries from a recharging device (10) comprising several recharging terminals (14) supplied electrically from at least one energy production source (11), characterized in that it comprises the following steps: Estimation of the future production of energy, i.e. the predicted energy Epredicted and the predicted power Ppredicted(t) as a function of time t, in the course of a reference period by at least one energy production source; Estimation of the energy need ?iEi(t)for the recharging of the batteries present in the recharging device; Computation of a dummy power Pdummy which is less than or equal to the predicted power and able to address all or part of this energy need in a dummy period which may or may not be distinct from the reference period; Scheduling of the rechargings of the batteries present in the recharging device over this dummy period.