A facility providing systems and methods for managing and optimizing energy consumption and/or production is provided. The facility provides techniques for optimizing energy-consuming and energy-producing systems to meet specified demands or goals in accordance with various constraints. The facility relies on models to generate an optimization for an energy system. In order to use generic models to simulate and optimize energy consumption for an energy system, the generic models are calibrated to properly represent or approximate conditions of the energy system during the optimization period. After the appropriate models have been calibrated for a given situation using one or more modeling parameter sets, the facility can simulate inputs and responses for the corresponding system. The facility uses the generated simulations to generate a plan or control schedule to be implemented by the energy system during the optimization period.

Methods for implementing power delivery transactions between a buyer and a seller of electrical energy supplied to an electrical grid by an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility are provided. Estimated total potential output of the RES is compared to a point of grid interconnect (POGI) limit to identify potential RES overgeneration, and the buyer is charged if potential RES overgeneration is less than potential overgeneration during one or more retrospective time windows. The method provides a basis for the RES-ESS facility owner to be paid for an estimated amount of energy that did not get stored as a result of a grid operator not fully discharging an ESS prior to the start of a new day.

Gross energy load can be determined by combining periodic net load statistics, such as provided by a power utility or energy agency, with on-site power generation, such as photovoltaic power generation, as produced over the same time period. The gross energy load provides an indication upon which other types of energy investment choices can be evaluated. These choices can include traditional energy efficiencies, such as implementing electrical efficiency measures, which includes cutting down on and avoiding wasteful energy use and switching to energy efficient fixtures, and improving the thermal efficiency and performance of a building. The choices can also include non-traditional energy efficiencies, such as replacing a gasoline-powered vehicle with an electric vehicle, fuel switching from a water heater fueled by natural gas to a heat pump water heater, and fuel switching from space heating fueled by natural gas to a heat pump space heater.

The invention is a method of constructing a wind farm from a predefined number of wind turbines in a predetermined space. This method comprises two discrete distributions (RD1, RD2), one for the wind speed and one for the wind direction, and a first discrete grid (RD3) of the predetermined space. The method also comprises the probability of occurrence (Prob) of each discrete wind speed value in each discrete wind direction. This method uses a first wind turbine arrangement in the predetermined space, then the position of the wind turbines is modified, one by one (i), by determining discrete positions (PDP_i) around the position to be modified. The position selected (Pos_i) is the one allowing the annual energy produced by the wind farm to be maximized.

A control device is provided with: a power transfer control means that controls power transfer to and from a DC distribution network; and an exchange means that exchanges, with respect to transfer power to and from the DC distribution network, information indicating an attribute based on a power generation scheme.

A facility receives an indication of a rate of energy output sought from a production array of solar panels. The facility controls a power inverter to which the production array is connected to deliver to an electrical grid to which the power inverter is connected a rate of energy output that is based on the indicated rate of energy output.

An apparatus for a system power device utilized in an interconnected power system. The interconnected power system may include multiple system power devices connected to various inter connections of groups of direct currents (DC) from power sources which also may be connected in various series, parallel, series parallel and parallel series combinations for example. The apparatus may include a processor connected to a memory and a communication interface operatively attached to the processor. The communication interface may be adapted to connect to a mobile computing system of a user in close proximity to the system power devices. A graphical user interface (GUI) of the mobile computing system may allow various operational and re-configuration options for the interconnected power system which may include installation, maintenance and monitoring schedules in the interconnected power system when the user of the GUI is in close proximity to the system power devices.

Provided is an power and communications network convergence system including wireless base stations, and DC grid groups, each grid group belonging to a cell. Each grid in the grid group has a DC line to which devices including a power generator and a power storage are connected, and performs, based on state information on each device, first control for reducing power fluctuations in the line. A first grid belonging to a cell performs, based on state information on each grid, second control for interchanging power with a second grid belonging to the cell. If a power situation of a first grid group belonging to a first cell and a power situation of a second grid group belonging to a second cell satisfy a preset condition, the first grid group performs third control for interchanging power with the second grid group.

A method includes collecting energy resource data for the specific geographic location over a predetermined time period, calculating power curves and matrices for at least two energy technologies based on the collected energy resource data, estimating the potential of generated electric power over time of the at least two energy technologies based on the calculated power curves and matrices, the time period, and the characteristic parameters of each of the at least two energy technologies, simulating different base load and power variations based on the estimation of the potential generated electric power and different distribution of the electric power generation of the at least two energy technologies, identifying an optimal distribution of the at least two energy technologies by analyzing the base load and power variations for each simulation, and choosing the distribution of the electric power generation with the highest base load and lowest power variation.

A method and an apparatus (400) for performing fault detection, are provided includes: controlling, by a power station management system in a preset photovoltaic module order by using an inverter connected to a current to-be-detected photovoltaic module, the current to-be-detected photovoltaic module to be in a target status, and when determining that the current to-be-detected photovoltaic module is in the target status, controlling a mobile image capturing terminal to collect image data of the current to-be-detected photovoltaic module (S201), where the image data is used to detect a fault status of the current to-be-detected photovoltaic module; and when determining that the mobile image capturing terminal obtains the image data of the current to-be-detected photovoltaic module through collection, continuing, by the power station management system, to control, in the preset photovoltaic module order by using an inverter connected to a next to-be-detected photovoltaic module.