13 results about "Distributed power control" patented technology

The invention discloses a distributed power supply cooperative control method based on transient dynamic characteristic adaptive driving, which adopts a multi-dimensional transient performance coupling evaluation function, unifies multiple targets including frequency, voltage, power angle and operation economy into a global optimization target, and fundamentally solves the defect of single target in the prior art. A collaborative strategy network based on dynamic context awareness is adopted, and a time sequence processing technology based on an attention mechanism is utilized, so that an intelligent agent can extract key transient dynamic characteristics from a local observation sequence, and the limitation of no memory and non-self-adaption in the prior art is broken through; according to the method, a cooperative control flow of a cooperative control strategy is provided, a high-performance learning type strategy is combined with a high-reliability safety monitor, the problem that safety and performance are difficult to be compatible is solved, fundamental transformation of distributed power supply control from passive, local and static rule-based modes is achieved, and the transient stability margin of a novel power system is remarkably improved.

The invention discloses a distributed power supply-based control method, system, equipment and medium, and relates to the technical field of distributed power supply control, and the method comprises the steps: collecting and preprocessing the real-time data of a distributed power supply, training a prediction model to optimize parameters, obtaining a load demand and power generation capability estimation, and adjusting the power based on a prediction result. Distributing active power according to a total load and a power contribution factor; setting a target power factor to calculate reactive power; monitoring voltage and load changes of a power grid in real time; dynamically selecting and adjusting a reactive power control strategy; and visualizing the running state and backing up the data to a database. Through closed-loop cooperation of data prediction, dynamic power control, value-oriented intelligent operation and maintenance and visual management, the stability, electric energy quality, operation and maintenance economy and management efficiency of the distributed power supply system are comprehensively improved.

The invention discloses a micro-grid group control method and device, computer equipment and a computer program product. The method comprises the following steps: selecting a distributed power supply meeting a preset condition from a target microgrid group as a fixed distributed power supply corresponding to each of a plurality of microgrids; constructing a sparse communication network based on the fixed distributed power supplies corresponding to the plurality of micro-grids; based on a preset droop control algorithm, controlling a plurality of distributed power supplies corresponding to the plurality of micro-grids, and based on the sparse communication network, collecting distributed power supply control data; setting a distributed secondary frequency device and a distributed secondary voltage controller based on a preset time consistency algorithm and distributed power supply control data; and controlling the target microgrid group based on the distributed secondary frequency device and the distributed secondary voltage controller. According to the method, the technical problem that the real-time requirement of the micro-grid group on rapid coordination control cannot be met due to slow convergence speed of coordination control of the micro-grid group at present is solved.

During disasters, widespread power outages can occur, leading to delays and shortages in electricity supply. Furthermore, conventional power supply methods rely on fixed infrastructure, making it difficult to flexibly respond to fluctuations in electricity demand. [Solution] The present invention provides a power supply system that deploys or guides mobile distributed power sources to power demand locations based on power demand information relating to power demand locations. The system comprises distributed power sources, a control device, a communication network, and power demand points. The control device determines the placement or guidance of the distributed power sources based on the location information and power output of the distributed power sources and the power output required by the power demand points.

To provide a decentralized power supply control system and a decentralized power supply control method that can appropriately control decentralized power supplies while detecting the life of or an abnormality in the decentralized power supplies.SOLUTION: A decentralized power supply system comprises: a first server that generates control commands controlling decentralized power supplies installed in facilities; and a second server that relays the control commands between the first server and the decentralized power supplies. The second server comprises a storage unit that stores measurement data related to the decentralized power supplies, and a calculation unit that calculates a predicted value of the measurement data with reference to a predetermined time. The first server includes a generation unit that generates the control commands on the basis of the predicted value of the measurement data.SELECTED DRAWING: Figure 1

This application relates to the field of power control center technology, and in particular to a communication method and system for a distributed power control center system. It includes: establishing multiple power sub-regions; constructing communication architectures for each power sub-region and setting communication control strategies for each power sub-region according to a preset communication model; acquiring status monitoring data for each communication architecture and determining whether to generate correction instructions for each communication control strategy based on all status monitoring data; dividing the power system into multiple power sub-regions and selecting communication proxy points for each power sub-region; and distributing data processing pressure to each sub-region through a built-in processing sub-model, thus avoiding load risks to the control center due to high concurrency. By constructing multiple communication architectures for each power sub-region, hierarchical transmission of different data is achieved, improving the overall operating efficiency and stability of the power system.

The present application relates to a kind of distributed power supply control systems for high-power laboratory, comprising: power distribution combination, multiple power supply combinations and multiple DC output units;The power distribution combination, multiple power supply combinations and multiple DC output units are communicated by CAN bus;The power distribution combination and multiple power supply combinations are connected by AC bus;The output of multiple power supply combinations is connected by DC bus;Each power supply combination is connected with a DC output unit;The power distribution combination is used to convert the input power supply of power supply into 220V AC power supply, and is supplied to power supply combination by AC bus;Wherein, the power supply includes: mains, generator and backup power supply;The power supply combination is used to convert AC into 26V-29V DC to DC output unit power supply;The DC output unit uses bidirectional Buck-Boost power module to realize 1 DC input to multiple DC output, and is supplied to power equipment, the present application effectively saves energy and improves the service life of power supply, so as to realize centralized power supply or distributed power supply use.

The invention provides a control system for distributed power supply access in a power distribution network and a voltage fluctuation suppression method, and belongs to the technical field of power system automation. Comprising a distributed power supply control module, the distributed power supply control module comprises two types of distributed power supplies, and each distributed power supply is provided with an independent local control box; a current sensor, a voltage sensor and a single-chip microcomputer are arranged in the local control box. The system has the beneficial effects that the reliability of the system is improved by adopting a triple architecture of local control, central collaboration and redundant communication, the local control box integrates overload protection, phase synchronization and local reactive power regulation functions, and independent and stable operation of the distributed power supply can be realized; the LoRa wireless communication redundant link is additionally arranged, when the RD425 bus is interrupted, the communication link can be automatically switched in a short time, and the local control box of the switching device maintains the operation of the current parameter, so that the stable output of the distributed power supply is ensured.

The invention discloses a source network load storage state sensing method, system and device considering distributed power supply control characteristics, and a storage medium, and the method comprises the steps: collecting the multi-dimensional measurement data of a power grid containing a distributed power supply, and constructing a line measurement model based on the non-linear relation between the measurement data of different dimensions of the power grid and a system state variable; identifying key influence factors of the control characteristics of the distributed power converter on the system state, and establishing a converter measurement model based on the key influence factors; constructing a system state variable estimation model by combining the converter measurement model and the line measurement model and taking minimization of a system state variable as a target function; the system state variable estimation model is solved, the optimal state variable of the system is obtained, and a system state sensing result reflecting the actual operation condition is obtained. According to the method, the state of the industrial park source network load storage system can be accurately estimated, the sensing capability of the industrial park to the source network load storage system is improved, and more reliable data support is provided for subsequent control and optimization of the industrial park.

This invention relates to the field of distributed power control and intelligent auxiliary technology, specifically a photovoltaic energy storage equipment power distribution optimization system; it includes modules for state parameter acquisition, potential energy mapping processing, gradient diffusion calculation, and power execution control; the system constructs virtual fluid pressure values ​​characterizing energy flow trends by collecting node operating data; its core is to obtain the pressure of neighboring nodes and calculate the pressure gradient and rate of change parameters, driving a bidirectional converter to allow energy to flow autonomously to low-pressure nodes until equilibrium is reached; this invention realizes the transformation from global optimization calculation to distributed decision-making based on local pressure differences, the computational complexity of a single node does not increase with the network size, solves the problems of computational deadlock and response lag when large-scale energy access is implemented, and significantly improves scheduling efficiency.

This invention belongs to the field of distributed power supply control technology, specifically involving a method for rapid coordinated control of small power supply switching, an edge computing terminal, and a storage medium. When a power grid fault occurs, the loss-of-power area is located, and the real-time load power gap caused by the power grid fault within that area is calculated. Based on the switching capacity of all controllable small power supplies to be switched and the real-time load power gap being met, the optimal set of controllable small power supplies to be switched is obtained with the objective of minimizing the weighted sum of the deviation term and the cost term. The deviation term is the absolute value of the difference between the switching capacity and the real-time load power gap, and the cost term is the total switching cost of all controllable small power supplies to be switched, determined according to the switching priority. This invention can prioritize the switching of less important (lower cost) small power supplies while satisfying power balance, maximizing the continued grid connection of critical power supplies, effectively avoiding over-switching while reducing power outage losses.

A distributed power supply control system (4) includes: a central calculation device (5) that sets a control parameter of power control that is performed by a plurality of distributed power supply control devices (6-1 to 6-4) each connected to a corresponding one of different distributed power supplies (7-1 to 7-4), the power control being performed on power supplied from the distributed power supply (7-1 to 7-4); and a plurality of the distributed power supply control devices (6-1 to 6-4) that each measure a system state that is a state of power at a point of a transmission and distribution system (1) connected thereto, calculate an emergency control amount according to a type of a system disturbance by using measurement information on the system state and the control parameter when the system disturbance occurs in the transmission and distribution system (1), and perform the power control.

The invention relates to the technical field of distributed power supply control and intelligent assistance, in particular to a photovoltaic energy storage equipment power distribution optimization system. The control module comprises a state parameter acquisition module, a potential energy mapping processing module, a gradient diffusion calculation module and a power execution control module; the system constructs a virtual fluid pressure value representing an energy flow trend by collecting node operation data; the method is characterized in that neighbor node pressure is acquired, pressure gradient and change rate parameters are solved, and a bidirectional converter is driven to enable energy to autonomously flow to a low-pressure node until balance; according to the method, global optimization calculation is converted into distributed decision based on the local pressure difference, the single-node calculation complexity is not increased along with the network scale, the problems of calculation deadlock and response lag during large-scale energy access are solved, and the scheduling efficiency is remarkably improved.