What is the meaning of Virtual Power Plants

Virtual Power Plants (VPP), as an odd force in the intelligent transformation of energy, coordinates the attributes of source, load, and storage resources to participate in the electricity market, realizes the Distributed Energy Resources (DER) resource aggregation management operation mode, and provides the market with power, load, and other resources. resources for the market. At the same time, it stabilizes the supply of electricity, ensures the real-time balance of the power system, and improves the operational efficiency of the system.

Digitalization and upgrading of the power grid is a must for realizing the "3060 dual-carbon goal", and Hightopo's intelligent power visualization solution takes digitization as the carrier, relies on the advantages of data **** enjoyment, integrates specialties horizontally, breaks down information barriers between systems, and transforms different types of distributed resources into a "tower of sand". "Gathering sand into a tower", and constructing an integrated interactive system of source network, load and storage. It realizes data monitoring, data fusion, data display, equipment maintenance linkage control from the energy production side to the application side, so that the elements of "source, network, load and storage" can be truly friendly and cooperative.Hightopo applies the self-developed HT engine to change the traditional "source follows load" scheduling mode to "source, load and storage" scheduling mode. Hightopo applies its self-developed HT engine to provide intelligent power visualization solutions for the transformation of the traditional "source follows load" scheduling mode to the new "source-load interaction" mode. Taking Sichuan Province as the background, it applies the lightweight approach and powerful visualization engine technology to deploy a set of power plant load monitoring, regulation strategy, implementation assessment and effect analysis at three levels, with autonomous regulation and control, rapid response, scientific analysis, and a comprehensive, multi-functional, integrated solution. It deploys a comprehensive, multi-functional and intensive intelligent power integrated control platform with autonomous regulation, rapid response, scientific analysis and judgment.

The visualization screen aggregates and coordinates many adjustable resources such as fragmented, small-scale, and multi-type Distributed Generator (DG), energy storage systems, and flexible loads. Starting from the dimensions of load forecasting, operation effect, dispatch optimization, grid interaction, strategy allocation and market transaction, it runs through the generation, transmission, ? transformation, distribution, and use of each link. Deepen the demand-side management of electricity,? Realize real-time collection and scientific configuration of distributed resources. At the same time for the grid operation, the frequency regulation of the grid, peak regulation, voltage regulation, etc. to do auxiliary support, to ease the pressure of grid operation.

From the dimension of geospatial distribution, vertically open up? province? city? districts, including the whole domain hierarchy? It provides a full-cycle, multi-scene, multi-objective and comprehensive presentation of the spatial layout, node locations and topological relationships of the province's power infrastructure projects. It helps decision makers to grasp the province's power grid operation situation from micro to macro, forming a closed loop of data and services.

Support? Docking to the underlying application interface, aggregating key data such as generation management, power consumption trend, resource share of DG and controllable load resources, creating multi-parameter real-time online monitoring and control, as well as effective means of data retrieval and recall. It covers the linkage control functions such as command ordering, one-key response, automatic optimization, etc., which lays a solid foundation for the unattended site and the telemetry, remote control and telemodulation operations required for the power supply system in the future.

The data panels on both sides of the screen show the key index parameters such as plant power generation management, daily power generation trend, annual call, load management, regulation capacity, etc. The collected data are converted into graphic information, and the HT visualization graphic combined with the data can intuitively show the key business data of the virtual power plant.

Generation management, load factor and daily power generation trend are three pieces of business data that visualize and express the situation and trend of daily and yearly cumulative power generation and power load. From the visualization point of view, it is clear that the power generation details of the virtual power plant power generation business, in which the daily power generation trend graph can better see the difference between the planned processing and the actual power generation load, the business personnel can get the virtual power plant operation through this data in time, so as to adjust the business needs in a timely manner.

The core of the virtual power plant business is the construction, monitoring and evaluation of the resource pool. Specific content includes user files and their adjustable resource files, of which user files include basic files and response declaration-related files, and equipment files include adjustable resource basic files and response capability-related files. Various resources are categorized, including distributed generation resources, adjustable load resources and distributed energy storage resources, electric vehicle resources, etc.; potential distributed resources are reasonably positioned, as well as their technical capabilities, and the types of services they provide, response speed, response duration, response frequency, etc. are clarified, and information management is carried out on the resource pool according to the contract signing cycle.

The comprehensive analysis page of virtual power plant resources is mainly divided into registration and regulation ratio, power end-user classification registration and regulation ratio and power end-user industry classification brush collar ratio and other modules, mainly statistics of each industry, each user and the classification of each adjustable load resource ratio data, through the data panel intuitively demonstrates the construction of the virtual power plant resource base data type.

In order to avoid the reproduction of the pain point of slow response, low efficiency and rough form of traditional virtual power plant demand side management. Demand scheduling functions can be provided according to various market rules, such as static load regulation, dynamic load regulation, peaking time graph, registered regulation capacity, etc., with the generation of descriptive, interactive, controllable, and predictable multi-type visualization charts to assist decision makers in the rational and orderly implementation of the daily power generation plan.

The visualization screen effectively aggregates controllable loads, breaks through the boundaries between traditional power systems, fully stimulates and releases the flexible regulation capability of the user side, and guides the user's electricity consumption behavior to adjust the load curve through market-oriented factors, promoting the maximization of energy supply benefits. In the past, discrete and stereotypical static data in the visualization technology, fully stimulate the vitality of the digital, endowed with dynamic loading effect, more conducive to revealing the complex relationship between the data.

Based on time, space, data and other dimensions, combined with the early warning model, automatically monitor the change pattern of key factor indicators, establish threshold alarm trigger rules for various types of abnormal events, cross-departmental, cross-business, cross-system reporting risk research and judgment, combined with a variety of visual images to present warning information, and timely output prevention and control measures. This effectively improves the interaction efficiency of the system, stabilizes the safety and economic operation of the entire electric energy, and ensures efficient feedback of the risk status within the scope of monitoring.

The company has also built a commercial virtual power plant solution in Shanghai, which integrates data from various DGs to illustrate the operation process of the "virtual power plant" in six aspects: resource management, real-time status monitoring, load forecasting, power generation task management, power generation task tracing, and operation effect decision-making.

Also supporting the use of 3D lightweight modeling form, a variety of complex power management information gathered in a virtual simulation environment, combined with professional analysis and prediction models, operation and maintenance equipment, operating state, control system for real-time dynamic collection and multi-angle parallel analysis, assisting decision makers to manage the work of the granularity of the work of the finer, more responsive, smarter behavior.

We will continue to work hard in the 2D and 3D configuration industry, and make every effort to build an independent and controllable Web visualization engine tool.

We will continue to work hard in the 2D and 3D configuration industry, and make every effort to build an independent and controlled Web visualization engine tool.