The herein disclosed electric power management system includes a shared power supply, and an electric power selling process unit that is configured to control the electric power sell from the shared power supply to the external system, and a countervalue distributing unit that is configured to distribute a countervalue for the electric power sell to each of the plural users. Then, the countervalue distributing unit is configured to distribute the countervalue for the electric power sell so as to provide a larger countervalue of the electric power sell to an user whose electric power use amount from the shared power supply is smaller. By doing this, it is possible to provide a larger electric power sell countervalue to the user who has efforted to save the electric power.

The techniques disclosed herein enable systems to enable multi-market optimization of renewable energies using data-driven models. To achieve this, a model retrieves a current state from a resource generation system and associated resource markets. The model can then compute a policy based on the state as well physical and technical constraints. The policy defines various actions that direct operation of the resource generation system such as resource production and dispatch to markets. Applying the policy to the resource generation results in a modified state which the model extracts along with a measure of optimality which quantifies the success of the policy. Based on these metrics, the model can generate an updated iteration of the policy defining a different set of actions. In this way, the model can gradually develop an optimal policy for controlling the resource generation system.

A method includes providing a net consumption trajectory comprising net consumption targets for one or more subperiods of a time period. Each net consumption target indicates a target difference from a beginning of a time period to an end of the subperiod between total consumption and total production or offset. The method also includes generating, for a subperiod of the plurality of subperiods, a set of curtailment actions predicted to achieve the net consumption target for the subperiod and implementing the set of curtailment actions.

An appliance management method is designed to make power distribution equipment, provided on a power supply channel, control and/or monitor an appliance to be electrically connected to the power distribution equipment. The appliance management method includes an authentication step and a management step. The authentication step includes allowing a high-order system to perform authentication on the power distribution equipment by making the power distribution equipment access the high-order system via a public network after the power distribution equipment has been energized. The management step includes making the power distribution equipment that has been authenticated in the authentication step control and/or monitor the appliance.

An operation control system for a gas-steam combined cycle generator unit-includes a real-time operation data acquisition module, to collect the operation parameter data and power generation data of a power plant unit, an operation status evaluation index mining module, to mine and analyze the operation parameter data of a power plant unit to get key parameters, an operation status evaluation index extraction module, to obtain characteristic variables, an operation characteristic parameter prediction module, to predict the said characteristic variables and obtain the predicted value and the corresponding change trend, and an operation intelligent control module, to realize the intelligent control of parameters. The operation control system can guide the optimal operation of power plant units, and improve their operation reliability and economy.

An integrated load management controller for directing electrical current generated by a plurality of solar photovoltaic modules exposed to ambient light selectively through a diverter to a battery bank for storage and to a current conditioner for supply of electrical current into an electrical grid, based on a supply demand communicated by an electrical grid demand controller, for managing the generation, storage, and supply of electrical current from the solar photovoltaic modules. A method of supplying supplemental electrical current to an electrical grid servicing load center using a solar-energy electricity generation system is disclosed.

A demand adjustment control system includes an obtainer, a determiner, and a controller. The obtainer obtains a target adjustment amount according to a temporary demand adjustment request. The determiner determines one or more target devices each of which is to be a target of demand adjustment control from a device group in a facility, based on the target adjustment amount obtained by the obtainer. The controller executes the demand adjustment control on the one or more target devices to cause an adjustment amount achieved by the one or more target devices to fall within a range of the target adjustment amount during a period in which demand adjustment is being requested. The device group includes one or more first devices of which demand adjustment control mode is not changed during the period and one or more second devices of which demand adjustment control mode can be changed during the period.

A method for flexible coordinated operation of an urban distribution network and a watershed network, including: constructing a watershed network dynamic operation model; constructing a river water storage model a lake water storage model based on the watershed network dynamic operation model; constructing a distribution network linear alternating-current (AC) power flow model and an operating power-flow rate operation model of the pump stations to obtain a coordinated operation model of the urban distribution network and the watershed network; constructing a watershed-electricity composite sensitivity matrix; quantifying a time-varying adjustable power domain of each pump station through a pump station flexibility assessment method based on the watershed-electricity composite sensitivity matrix; constructing a power flow optimization model of the urban distribution network and a hydraulic energy flow optimization model of the watershed network; and performing electricity-water energy flow interactive optimization involving a flexible resource of the pump stations.

An electronic apparatus is disclosed. The electronic apparatus includes a memory stored with home device information corresponding respectively to a plurality of households and electrical power usage information corresponding respectively to the plurality of households, and a processor configured to control the electronic apparatus by being connected to the memory, and the processor is configured to obtain, based on a service request being received from a new household, home device information corresponding to the new household, update home device information corresponding to the new household based on at least one device included in the obtained home device information, identify at least one household from among the plurality of households based on the updated home device information, and obtain predicted electrical power usage information of the new household based on electrical power usage information corresponding to the identified at least one household.

Techniques are provided for dividing control of energy flow at multiple Electric Vehicle (EV) stations using the combination of a centralized controller and a plurality of decentralized controllers. The centralized controller is configured to perform: executing algorithms to generate centralized predictions for a first period of time, wherein the centralized predictions relate to energy usage at a plurality of stations, and generating one or more centralized baseline signals based on the centralized predictions. Each decentralized controller is configured to perform: receiving the one or more centralized baseline signals, monitoring interactions at a subset of the plurality of stations during the first period of time, and updating the one or more centralized baseline signals in real-time based on the interactions to produce one or more locally-updated baseline signal. The one or more locally-updated baseline signals are communicated to the subset of the plurality of stations, and energy flow is controlled at the subset of the plurality of stations based on the one or more locally-updated baseline signals.