Virtual power plant case of photovoltaic energy storage and charging system

Description :

　　In order to accelerate the promotion of the national "dual carbon" strategy and the construction of a new energy system, and strive to achieve load control and refined user management, in accordance with the guiding principles of "power grid organization, government enterprise coordination, and user implementation", city/county-level power load management centers have been established in many places, including Zhejiang, Jiangsu, Ningbo, Cixi, Liaoning, Dalian, Hunan, Zhuzhou, Loudi, Hubei, Yichang, Huanggang, Shanxi, Linfen and other places. This marks a substantive and critical step in the digital reform of the energy field in various regions, and is of great significance for accelerating the construction of a new energy system, implementing energy big data strategy, developing digital economy, and building smart cities. For example, the Ningbo Energy Big Data Management Center has integrated energy consumption data from over 10000 large-scale enterprises and 3079 household energy enterprises in Ningbo, as well as air conditioning load data from 698 public building units. It has launched more than 20 energy big data products, including air conditioning load management for public buildings, energy management for industrial parks, and energy monitoring for green factories.

　　Ankerui also partially participated in the construction of the above municipal power load management centers. This article combines the requirements of the urban new smart energy system for the energy digital system and Ankerui's energy digital technology to provide preliminary solutions for energy interconnection, interaction, coordination optimization, and continuous promotion of the construction of the new energy system

　　Real time monitoring and control of electrical parameters, operating status, and contact temperature of distribution related equipment such as transformers, circuit breakers, DC screens, busbars, reactive power compensation cabinets, and cables involved in the distribution of 35kV to 0.4kV substations in enterprises. Monitor the power quality of the main circuits of the enterprise's microgrid and carry out treatment. Handle faults in a timely manner and issue alarm messages to improve the reliability of enterprise power supply.

　　The cloud platform is a set of platforms based on the Ankeri IoT data center, which has established the uplink and downlink data standards and provides Internet users with energy IoT data services. Users only need to purchase Ankerui IoT sensors and transformers, and install them themselves. Whether it is IoT instrument direct transmission or uploading through the gateway, they can use their mobile phones to scan the code to obtain the required industry data services.

　　system architectureThe Acrel EIoT energy IoT cloud platform adopts a layered and distributed structure, mainly composed of three parts: the perception layer (terminal collection devices), the network layer (communication management terminals), and the platform layer (energy IoT cloud platform).

　　Perception layer: Various sensors connected to the network, including multifunctional meters, prepaid meters, multi loop meters, IoT meters, IoT water meters, electric vehicle charging stations, car charging stations, street light controllers, etc. Network layer: Intelligent gateway, collects data from the perception layer, performs protocol conversion and storage, and uploads the data to the energy IoT cloud platform. Platform layer: includes application servers and data servers, which can implement applications on PC or mobile devices.

　　Platform ArchitecturePlatform Features

　　1. Energy supply

　　Power collection and reading function module

　　Intelligent operation and maintenance function module

　　2. Energy management

　　Safe electrical function module

　　Power Quality Function Module

　　3. Equipment management

　　Intelligent lighting function module

　　Prepaid water and electricity function module

　　Car/electric scooter charging operation function module

　　4. Energy analysis

　　Energy management functional module

　　Value added service function module

　　(1) Industrial configuration

　　(2) 3D visualization

　　Equipment selection

　　The traditional energy management system model, which focuses on monitoring electricity and other energy sources around a single entity, can no longer meet the needs of the new energy system. Scientific and systematic comprehensive smart energy management adopts a big data information integration model, which not only optimizes the consumption of new energy and improves energy utilization efficiency, but also realizes the transformation of single device energy conservation towards intelligence and systematization. The comprehensive smart energy management system realizes the collection, monitoring, prediction, and management of data from various units of the energy system, laying a good foundation for high-quality energy utilization and service provision. The purpose of building power load centers in various regions is also the same. The comprehensive smart energy system is based on a dynamic energy price mechanism, with the physical foundation of the power grid, distributed generation, energy storage system, adjustable load, and electric vehicle charging piles. It automatically adjusts according to the power demand at different stages to ensure the stable operation of the power system. Overall, the comprehensive smart energy management system has become an important part of the construction of the new energy system.

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• Virtual power plant of photovoltaic energy storage and charging system