Systems and methods for allocating energy including distributing and receiving energy using a mobile energy storage (MEES) system at locations of a power supplier in an energy market system by a user. Determine allocating amounts of energy for the MEES system and for each time interval for all time intervals for an upcoming operating time period based on a set of uncertain parameters using an optimization model. Base on calculating an objective function using uncertain parameters. Update the objective function using constraints. While optimizing the objective function for a value hierarchy associated with energy and reserve bidding scenarios for the user and delivery scheduling for the MEES system based upon the stored user risk preferences. Control scheduling of the MEES system between the locations of the power supplier, according to allocating of the amount of the electrical energy for the MEES system at the locations of the power supplier.

An example method comprises receiving historical sensor data of a renewable energy asset for a first time period, identifying historical log data in one or more log sources, retrieving dates of the identified historical log data, retrieving sequences of historical sensor data using the dates, training hidden Markov models using the sequences of historical sensor data to identify probability of shifting states of one or more components of the renewable energy asset, receiving current sensor data of a second time period, identifying current log data in the one or more log sources, retrieving dates of the identified current log data, retrieving sequences of current sensor data using the dates, applying the hidden Markov models to the sequences of the current sensor data to assess likelihood of the one or more faults, creating a prediction of a future fault, and generating a report including the prediction of the future fault.

A coordinated optimization method for VSC-HVDC Frequency Synchronization Control and primary frequency regulation of hydropower includes: obtaining optimal PI parameters of the VSC-HVDC Frequency Synchronization controller from a first layer output of a dual-layer optimization model for coordinated parameters of VSC-HVDC Frequency Synchronization and primary frequency regulation; and obtaining a target PID control parameters from a second layer output of the dual-layer optimization model. The coordinated optimization method further includes adjusting the optimal PI parameters of the synchronization controller based on the target selection range and updating the PID control parameters of the primary frequency regulation system of hydropower based on the target PID control parameters. This approach aims to address the challenge of balancing the frequency response speed between the VSC-HVDC synchronization system and the primary frequency regulation system of hydropower.

A grid-connection control method considering the duality of grid-following and grid-forming in renewable energy transmission during seasonal transitions includes: obtaining the short-circuit ratio (SCR) at the renewable energy grid connection point; when the SCR is greater than a preset SCR threshold, invoking a grid-following variable coefficient additional frequency control strategy to modulate the PWM inverter for renewable energy grid connection; and when the SCR is less than the preset SCR threshold, invoking a grid-forming variable coefficient virtual synchronous generator (VSG) control strategy to modulate the PWM inverter. The aim is to address the issue of how to combine grid-following and grid-forming control strategies to adapt to changes in grid strength due to seasonal transitions.

A power system supervisory control apparatus, a power system supervisory control system, and a power system supervisory control method for reducing social cost and improving resilience of a power system are provided. The power system supervisory control apparatus including multiple renewable energy power supplies includes: a system influence degree evaluation section that evaluates a system influence degree when a renewable energy fluctuation or an assumed fault has an influence on the power system by using, as computation conditions, system data for obtaining a state of the power system, renewable energy fluctuation data indicative of a fluctuation of a power generation output, and assumed fault data of an assumed fault in the power system, and calculates system influence degree evaluation result data; a computation condition selection index calculation section that calculates a selection index for the computation conditions; and a condition selection section that selects the computation conditions.

According to an embodiment, a reverse flow power control device includes: an input unit that accepts actual values of output power of the power conditioner, load power with respect to the load device, and reception power, and a minimum reception power value; a storage unit; and a calculator having an output controller that calculates an output command calculation value, a load controller that calculates a load command calculation value, and a command value re-calculator that calculates, by using the respective actual values, the output command calculation value, the load command calculation value, and the minimum reception power value, an output command value with respect to the power conditioner, in order to prevent a reception power value from the power system from becoming less than the minimum reception power value.

A system for transmission of power offshore comprises two or more power stations operably connected with a high voltage cable system. The high voltage cable system may comprise a dynamic, dry or wet type high voltage submarine cable of varying length configured to transmit at least about 100 megawatts of power. In some cases the dynamic, dry or wet type high voltage submarine cable comprises a first end connected to an offshore power station and second end connected to a static submarine cable system which is connected to an onshore power station. The systems may facilitate transmission of power for applications such as compressing and/or pumping subsea natural gas in deep water.

An electric power supply demand adjustment method disclosed herein is a method in which supply and demand of electric power on the electric power system is adjusted by inputting, from an electricity storage device that can store electric power generated using renewable energy, at least electric power, to the electric power system. The method includes acquiring usage history information indicating history of usage of a shared vehicle by a tracked person, registered in advance in a manner associated with an electric power provider, notifying the electric power provider of the acquired usage history information of the tracked person, calculating an electric power amount to be input from the electricity storage device to the electric power system on the basis of notification of the usage history information, and causing the electricity storage device to input the calculated electric power amount to the electric power system.

Disclosed is a coordinated peak shaving optimization method for a plurality of power supplies based on a fluctuation characteristic of a renewable energy source, including the following steps: s1: determining a weekly generated electricity quantity of hydropower based on an available capacity and a storage capacity of an electricity quantity; s2: predicting a renewable energy power generation curve and a load curve of a system weekly; s3: determining a start point of peak shaving of the hydropower based on an external transmission curve, the renewable energy generation curve, and the load curve of the system and a generating capacity of the hydropower; s4: determining a weekly peak shaving demand of the system; and s5: establishing an optimization model with a maximum peak shaving demand. The present disclosure proposes a reasonable arrangement for peak shaving, so as to resolve an accommodation problem caused by large-scale access of a renewable energy source.

An exemplary system and method are disclosed for providing a circuit that is (i) retrofittable into any power grids and (ii) operable to enhance grid performance by enabling power-flow control, voltage regulation, and impedance shaping within the power grid.