Disclosed is a resilient route generation system for reliable communication of a phasor measurement system of a power grid. A named data network is a new network architecture to improve the communication reliability between a phasor measurement unit and a phasor measurement concentrator in power transmission and distribution networks. The lost data packets in a current router can be directly recovered from an upstream router with resilient route, and the optimal RR selection will maximize the success rate of retransmission of lost data packets, thus maximizing the network reliability. The mesh network and ring network structure of the power grid are fully utilized, and a resilient route generation system is provided, wherein the resilient route of each communication pair includes a corresponding primary path and a plurality of redundant sub paths, so that the success rate of retransmission of lost data packets and the network reliability are maximized.

A market server receives a second request signal for requesting reception-supply adjustment of a first amount of power from a CEMS server and sends an invitation signal to a plurality of agent devices. The market server receives a bid signal showing bid conditions for a power buying or selling transaction of a second amount of power, smaller than the first amount of power, from at least one or more agent devices that have determined the bid conditions among the plurality of agent devices, and accepts bids by the at least one or more agent devices when acceptance conditions are met.

The present invention relates to a method and a system for processing building energy information. The method includes the following steps: inputting data of a building information model into building energy simulation software; automatically selecting a building category or manually selecting a building category from a group of building categories provided by the building energy simulation software; in response to the selected building category, inputting a plurality of parameters into a lookup table of the building energy simulation software in accordance with a database of the building energy simulation software; and generating an estimation of a building's energy consumption through a calculation by the building energy simulation software based on the parameters.

A system may determine configuration information associated with a power system for a work site that includes one or more power sources. The system may determine respective operation parameters of the one or more power sources and one or more performance criteria associated with the power system. The system may determine a baseline operation plan for the power system. The system may identify an optimization analysis technique and may process, using the optimization analysis technique, the configuration information associated with the power system, the respective operation parameters of the one or more power sources, and the one or more performance criteria associated with the power system to generate the optimized operation plan for the power system. The system may cause, based on the baseline operation plan for the power system and the optimized operation plan for the power system, one or more actions to be performed.

A CEMS server manages an amount of demanded electric power of consumer facilities organized into groups. The groups include at least two consumer facilities of which amounts of demanded electric power are correlated with each other. One of the at least two consumer facilities includes an HEMS server that transmits an amount of demanded electric power of the corresponding consumer facility to the CEMS server every first period. The CEMS server stores relationship information indicating a relationship between the amounts of demanded electric power of the at least two consumer facilities. The CEMS server calculates a total amount of demanded electric power of the groups based on the amount of demanded electric power transmitted from the HEMS server and the relationship information and outputs a DR request to the consumer facilities such that the total amount of demanded electric power matches a planned amount of electric power.

According to an embodiment, an energy management system includes an acquirer, a predictor, and a demand and supply controller. The acquirer acquires information provided by an unspecified user and including at least one of current meteorological situations and predicted future meteorological situations inside of a management area and outside of the management area and social environment situation patterns inside of the management area and outside of the management area acquired via a network. The predictor predicts one or both of an amount of demand for the energy and an amount of power generation in the future inside of the management area by analyzing or evaluating the demand and the supply of the energy on the basis of the information acquired by the acquirer. The demand and supply controller controls an energy demand and supply balance inside of the management area on the basis of prediction results of the predictor.

Real time data and historical data of power usage for components of an electrical power environment is analyzed, using a computer, to manage distribution of electrical power from multiple generation sources. Data is received for a plurality of nodes including components having power delivery and consuming capabilities. Real time data for the nodes is received and the real time data includes power output of the components. The data and the real time data is analyzed to determine predictable power usage for the components. Constraint limits are defined for a plurality of data points from the real time data for each of the plurality of nodes in the power consuming environment. An electrical power supply control plan is created based on the analysis and the penalty variables. The electrical power supply control plan is communicated to a control system for managing power usage in the electrical power environment.

Methods, systems, and techniques for determining the confidence that predicted demand charge savings resulting from deploying an energy management system at a site will match actual cost savings. A processor obtains predicted demand charge savings resulting from deploying the energy management system at the site, and also obtains demand-related data describing at least two of load predictability, load shape, and battery capacity of the energy management system. The processor determines a confidence score representing the confidence that the predicted demand charge savings will result in view of the demand-related data, and displays the confidence score on a display for subsequent use by a user.

A second-life battery-based super multi-objective energy management method for a smart community microgrid, including: establishing a residual life decay model of the second-life battery based on a residual charge and discharge cycle number; establishing a super multi-objective energy management model based on residential energy consumption costs, the residual life decay model of the second-life battery, residential electricity consumption behaviors, and impacts of residential community load on an electricity distribution system; recording state information of the second-life battery in the smart community; collecting residential electricity consumption information in the smart community, and predicting a renewable energy output value of the smart community; and solving the super multi-objective energy management model by using a NSGA-III algorithm combining with the state information of the second-life battery and the renewable energy output value.

UAV airways system generally are disclosed. Such UAV airway systems may comprise UAV cargo transportation systems and UAV surveillance and monitoring systems. Such systems preferably overlay and are commensurate with a system of high-voltage power transmission lines of high-voltage transmission system, and electric field actuated (EFA) generators preferably are utilized in UAVs that travel along the transmission lines, in UAV charging stations located along the transmission lines, or in both. Each EFA generator represents a power supply and comprises first and second electrodes separated and electrically insulated from each other for enabling a differential in voltage at the first and second electrodes resulting from a differential in electric field strength experienced by the first and second electrodes arising from the power transmission lines of the high-voltage transmission system.