欧美城天堂网,成人一区二区三,欧美videos大香蕉,亚洲九九视频一区二区三区

Your current location: Home > Dispatch and Cloud-Based Architecture > Grid-Side Virtual Power Plant Regulation and Management System
Grid-Side Virtual Power Plant Regulation and Management System
Applications

Virtual power plants focus on core functions such as panoramic monitoring, aggregation analysis, multi-level optimal dispatch, multi-application scenario control, and response effect evaluation of distributed flexible resources. Achieves integrated monitoring, collaborative optimization, and flexible control of various resources aggregated within virtual power plants, including photovoltaics, energy storage, charging piles, and adjustable loads. By providing a unified regulation and management platform to efficiently integrate scattered resources, it transforms them into competitive virtual power plant entities, enhances grid interaction capabilities, and offers innovative solutions to modern grid challenges such as volatility and peak load pressure.

System Composition


Functional Features
  • Panoramic Monitoring
    Provide monitoring functions for flexible resource regulation scenarios, enabling panoramic monitoring of various adjustable resources such as charging piles, smart building air conditioners, distributed energy storage, and photovoltaic systems through visualization techniques.
  • Aggregation Analysis
    Achieve aggregation of massive distributed controllable resources with dynamic topology tracking, clearly displaying adjustable capabilities in different grid topologies to meet the regulation requirements of complex grid scenarios.
  • Multi-Level Optimal Scheduling
    Achieve cloud-edge collaborative optimal control of virtual power plants.
  • Multi-Application Scenario Control
    Support closed-loop implementation of distributed flexible resources participating in grid peak shaving, frequency regulation, and other scenarios.
  • Response Effect Evaluation
    Support evaluation of the response effects of distributed flexible resources, calculating and verifying indicators such as response rate, response time, and regulation accuracy.
永宁县| 随州市| 武穴市| 吕梁市| 宁晋县| 淮阳县| 玛多县| 辽阳市| 枣庄市| 西和县| 绥中县| 武隆县| 甘孜县| 瑞丽市| 墨脱县| 大竹县| 山东省| 新宁县| 高州市| 龙南县| 珲春市| 南昌市| 额济纳旗| 新河县| 北流市| 霍山县| 房产| 罗甸县| 黄石市| 平顺县| 蒙山县| 东丽区| 宜州市| 霸州市| 邵阳县| 内江市| 巩留县| 山东| 大港区| 河北省| 邵武市|