Ankerui Virtual Power Plant Solution

1、 Background of demand for virtual power plants

Energy transformation

Lack of traditional energy, changing energy import dependence, improving energy security and autonomy; Mitigating climate change, improving the environment, and enhancing the competitiveness of export products; Promote the transformation of heavily polluting and inefficient industries, and reduce energy consumption costs for enterprises

Current situation of new power system

'Double High'

High proportion of renewable energy access and high proportion of power electronic equipment application

Double Random

Randomness on the power generation side and randomness on the power consumption side

three major challenges

Safe operation, clean consumption, and mechanism reform

2、 Virtual power plant construction path

Virtual power plant platform system

Diversified service targets: covering government regulatory departments such as the Energy Supervision and Administration Office, power grid operation and management departments such as marketing, virtual power plant operators, power users and other market entities, achieving functional differentiation among multiple service targets through the allocation of responsibility areas

Rich trading varieties: supporting multiple types of trading varieties such as demand response, auxiliary service market, spot market, etc., providing corresponding quantity and price auxiliary declaration strategies, and enriching the profit channels of market entities

Aggregate resources and optimize regulation: By aggregating resources such as distributed power generation, energy storage, and flexible loads. Based on a multi time scale optimization algorithm, precise scheduling from daily market clearing to real-time power control is achieved, and through multi resource collaboration and risk control, response reliability and overall returns are improved.

Virtual power plant: resource aggregation and optimization regulation

Virtual power plants are "aggregating all schedulable resources", such as distributed power generation (photovoltaic, wind power, diesel generator, etc.), energy storage, charging piles, air conditioning, lighting, micro grid, etc., which are integrated into an efficient, intelligent and reliable "virtual energy internet". Through aggregation, the disadvantages of these resources can be compensated for each other, and the strengths can be combined to achieve diversity and complementarity of resources, thereby improving the efficient utilization of resource allocation.

AcrelEMS3.0 Smart Energy Management Platform

A smart energy management platform is a system that integrates modern information technologies such as the Internet of Things (IoT), big data, cloud computing, and artificial intelligence (AI) for monitoring, controlling, and optimizing energy use to improve efficiency and reduce waste. Based on the monitoring data of the power system, the operation status of the microgrid can be displayed in multiple dimensions, optimizing energy consumption efficiency, and improving the economic, safety management, and intelligent operation and maintenance level of the microgrid system.

Distributed Generation: Aggregation and Regulation of Photovoltaic Resources

Ankerui's distributed photovoltaic solution meets the needs of real-time monitoring, secure access, power generation management, and power control of photovoltaics through products such as photovoltaic configuration measurement, monitoring, protection, and governance. It controls the precise participation of photovoltaics in virtual power plants and market transactions, and enhances the consumption and revenue of green energy.

User side energy storage: large storage, industrial and commercial storage, and household storage

Energy storage, as an important adjustable resource in virtual power plants, plays a role in precise and rapid regulation as well as flexible energy storage. Ankerui's energy storage solution ensures the safe and reliable access of energy storage sites to virtual power plants through the configuration of metering, monitoring, protection, management systems, and other products. It can adopt various strategies such as demand response and optimized scheduling to achieve centralized regulation and value operation of distributed energy storage.

Adjustable load: charging station system

Ankerui charging pile solution, by installing metering, current limiting protectors, insulation monitoring and other equipment on the charging pile distribution circuit, combined with the charging pile operation management platform, safely and reliably aggregates dispersed AC/DC charging piles, and achieves virtual power plant demand response and power scheduling while meeting the energy consumption experience of car owners.

Adjustable load: air conditioning system

The Ankerui Smart Air Conditioning Control System utilizes an AI energy efficiency monitoring box to collect and analyze data through meters, temperature and pressure sensors, thermometers, and energy meters. It controls temperature settings and optimizes operation strategies for water pumps, fans, frequency converters, pre cooling air conditioning units, and modular air conditioning units. The air conditioning is aggregated into a fast response unit of a virtual power plant, achieving precise load control without affecting comfort, and providing sustainable peak shaving and valley filling capabilities for the power grid.

Adjustable load: lighting system

The lighting system is a potential adjustable load resource. The Ankerui intelligent lighting control system effectively aggregates dispersed lighting loads into fast response units of virtual power plants through devices such as switch drivers and sensors, achieving fast power regulation and precise demand side response, providing low-cost and high-efficiency flexible support for the power grid.

Mixed resources: Optical storage direct flexible system

The photovoltaic direct flexible system, as a flexible control unit in the field of construction, achieves collaborative interaction between power generation, energy storage, and load. Ankerui's photovoltaic storage direct flexible solution utilizes an energy management system to optimize control of the DC power grid, coordinate scheduling of photovoltaic storage, and intelligent adjustment of flexible loads, transforming buildings into flexible resources that participate in grid demand response, providing precise load side adjustment capabilities for virtual power plants, and achieving dual improvement in energy efficiency and economic benefits.

Mixed resources: microgrid system

As the core unit of regional energy autonomy and collaborative operation, microgrids achieve precise management and optimized scheduling of internal resources. The Ankerui microgrid energy management system integrates instruments and protection equipment to safely and reliably connect microgrids to virtual power plants, and automatically decomposes the power response target of the virtual power plant and optimizes the allocation of internal resources to achieve this goal. Transforming microgrids into flexible units for virtual power plants to participate in grid interaction significantly improves regional power supply reliability and energy utilization efficiency.

3、 Virtual Power Plant Platform Solution

Overall architecture of virtual power plant

Aggregate resource monitoring

Multi source heterogeneous data access: access resource data of different types, protocols, and vendors;

Distributed collection of big data: aggregating energy storage power stations, load terminals, rooftop photovoltaics, green data centers, park offices, V2G and other resources within the region, integrating various information and data of the energy network;

Panoramic monitoring based on cockpit: real-time aggregation of scattered data onto a unified platform to form a global resource status view;

Layer by layer aggregation: Implement hierarchical partition resource access and support multi-level monitoring.

Aggregation modeling and analysis

Response capability assessment: Based on indicators such as power generation capacity, annual power generation, regulation capacity, response time, ramp up rate, deviation rate, duration, etc., evaluate the response capability of virtual power plants to provide a basis for decomposing response objectives;

Response target decomposition: Based on grid demand, resource characteristics, time dimensions, and execution levels, transform response targets into specific tasks that are executable, quantifiable, and assessable, and distribute them to end users;

Response result analysis: Quantify the baseline load before regulation, actual response curve, deviation rate after regulation, assessment amount, etc., provide evaluation index scores and evaluations, and provide reference for the settlement of regulation benefits;

Multidimensional data prediction: Based on meteorological data and historical operational data, a high-precision prediction model is constructed to automatically learn and adapt to the changing trends of new energy generation/load under different conditions, assisting in the formulation of medium - and long-term/pre day/intra day power generation plans.

Ankerui Virtual Power Plant Solution

Ankerui Virtual Power Plant Solution