ResearchResearch CenterPower Carbon Neutrality Research Center

Research Center

Affiliated Institutes

01

Energy Internet Trading and Operations Institute

The Institute focuses on the fields such as energy Internet optimization & operation, power market and source-grid-load- storage interaction, and has accumulated rich practical experiences in modeling theory, mechanism design, algorithm optimization and system R&D. It is committed to realizing highly efficient and optimal allocation of resources and fair distribution of value, provides solutions for energy Internet trading running and decision through operations, and promotes the market mechanism and core technology innovation in energy Internet.

02

Energy Information System Intelligent Analysis Institute

The research institute focuses on intelligent information technologies in the fields of power production operations, power plants, and related areas. It specializes in full-cycle data management and modeling analysis, AI application development, network security technology research and application, industrial control system & device development, Internet of Things (IoT) platform and device development and consulting services, as well as digital power planning services.

03

Virtual Power Plant and Auxiliary Service Technology Institute

The Institute leverages outstanding talents from the national and international levels, focusing on the development of “New Power Systems”. It conducts cutting-edge research in areas including virtual power plant load management and coordinated optimal scheduling; energy data analysis with AI algorithms and modeling applications; smart operation and efficient management of industrial energy loads; AI interaction with terminal devices and micro-applications of energy terminal unit. The Institute also applies the practical advantages of technologies including virtual power plants, digitalization of low-carbon energy, and new types of load control devices. The goal is to explore flexible interactions between controllable resources across source-network-load-storage, improve the renewable energy consumption, enhance grid stability, and promote the low-carbon and efficient utilization of energy.

04

Low Carbon City Energy System Institute

Based on the relevant theoretical research achievements on smart energy research group of the Department of Electrical Engineering of Tsinghua University, the Institute carries out theoretical research and R&D demonstration in the fields such as low-carbon planning of power system, power carbon metering technology and cloud energy storage technology. It has developed key equipment such as power system low-carbon planning & operation simulation platform, power system carbon metering platform & carbon meter system, and cloud energy storage planning & operation simulation platform. The institute is committed to providing auxiliary decision tools and technical consultancy for power system planning & operation and cloud energy storage business model design, provides solutions and implementation means for realizing accurate carbon metering of power system, and contributes to the low-carbon transformation of power energy system.

05

Power Market and Carbon Market Institute

The Institute focuses on industry frontiers, gathers industry experts, relies on the research experiences in aspects such as government consultancy, engineering construction and software development, rich government & enterprises resources in power industry, and strong professional technical support, and is deeply engaged in research orientations such as power market theory & mechanism design, key technology & simulation analysis, and the coupling of power market & carbon market. It's committed to building a power market system with spot market as the core, promoting spatio-temporal optimal allocation, and stimulating the bilateral interaction between supply and demand, and continuously contributes to solving the specific problems in national energy transformation and market-oriented reform practice.

Core technology/products

Key technology for interactive operation of source-grid-load-storage

• Aggregates distributed energy resources to achieve collaborative optimization from micro-grid to distribution network, transmission network, and cross-district grid

• Construct a multi-dimension indicator system such as safety, reliability, economy and low carbon to provide scientific decision support for the optimal operation of energy Internet

• Study methods in source-grid-load-storage such as dispatching operation, planning, fixed cost allocation, quantitative evaluation of energy storage value and operation strategy to solve the difficulties in all aspects of the interactive operation of source-grid-load-storage

• Adopt highly efficient combination & optimization technologies to improve the solving efficiency of complex calculations in the interactive operation of source-grid-load-storage

  
  

R&D product: a series of products for the interactive operation of source-grid-load-storage

The series of products are oriented to support the interactive operation of source-grid-load-storage, including the fully autonomous & controllable optimization engine of power system, the core solution engine of power spot market clearing, the design of full-cost power pricing mechanism, the intelligent energy control platform of virtual power plants, and the integrated platform of energy storage planning and operation. They are applied in scenarios such as grid power generation & transmission maintenance plan optimization, network topology framework optimization, power spot market clearing, virtual power plant trading operation & dispatching control, and energy storage construction and operation & management clearing.

*Research team: Energy Internet Trading and Operations Institute

Virtual power plant technology services & IoT solutions

• Carry out the design and optimization of the Virtual Power Plant (VPP) cloud platform architecture to enable seamless communication and real-time control of information and commands at the control layer.

• Enhance the capacity for grid-connection and consumption of renewable energy by utilizing cloud-based virtual information and control methods to overcome the physical boundaries between the generation and the user load sides.

• Rely on the IoT management center and the energy data center to achieve real-time global load monitoring, while ensuring data security and continuously iterating and refining the data service capabilities.

• Develop resource optimization and dynamic allocation algorithms to conduct detailed operational assessments of distributed renewable energy, electric vehicles, energy storage, and other devices to involve deep engagement in peak shaving and load shifting, frequency regulation, and auxiliary.

R&D product: New Power Load Management System

Through the integration of load management systems across the source-network-load-storage sides, it provides comprehensive service support from user load research and assessment to load connection, with real-time flexible adjustment capabilities.

*R&D Team: Virtual Power Plant and Auxiliary Service Technology Institute

Full-cycle data model management and visual modeling technology

• Based on the iterative computing engine of high-performance memory, realize multi-node parallel mining and hundred-million level data processing capability in seconds

• The computing volume can be extended horizontally in real time, with no limit from traditional single-machine computing performance and hardware data storage quantity

• Provide mirror image releasing function, which can encapsulate model service into mirror image, so as to make it separated from platform environment and realize the intelligent empowerment of edge hardware

• Support the complete visual closed-loop development and deployment of "data governance - model R&D - application development - work dispatching- service releasing"

• Reduce the time of software application, development and deployment by more than 95% through the convenient development mode of drag and pull, which saves labor and operation & maintenance costs

R&D product: EILAB Studio full-cycle data model management platform

• Five advantages: unified data management analysis, non-sensing of underlying hardware, distributed processing automation, non-coding modeling & visualization, and marketization of analysis results

• Data reading, processing, modeling and application can be completed seamlessly to meet the needs of big data & machine learning's development, operation and management

• The products have been deployed and applied in more than 100 industrial and commercial scenarios such as power simulation cloud platform of CSG Electric Power Research Institute and hydrogenation big data modeling platform of CNOOC

*R&D team: Energy Information System Intelligent Analysis Institute

Key technologies of power carbon neutrality strategic planning and carbon real-time monitoring & metering

• Having developed the carbon meter device for all segments of power system, and the metering results meet the three principles of "measurable, reportable and verifiable" proposed by the United Nations Framework Convention on Climate Change

• Having realized the "minute-level" real-time carbon metering and "user- level" fine carbon metering on carbon information on three sides of source, grid and load of power system

• Having developed a panoramic carbon metering platform for power system, visualizing the panoramic flow graph of carbon flow transferred from source to load, and providing support for the development of multi-carbon services

• Having developed an integrated planning platform of source-grid-load -storage for carbon peaking & carbon neutrality, enabling 8,760 hours of panoramic operation simulation of source-grid-load-storage coordination, and achieved the short-term technical decision and long-term strategic planning of new energy power systems with high proportion of new energy

R&D product: power system panoramic carbon metering service platform

Having released China's first power system panoramic carbon metering service platform to solve real-time & accurate metering problems of carbon emissions in the power system, provide carbon management, carbon planning and carbon analysis for enterprises, and provide decision support for users to carry out carbon response

R&D product: power system full-link carbon meter device

Having developed the first carbon meter device for real-time carbon metering for the full-link of power system in China, effectively quantified the carbon emission flow data of power system, accurately metered the carbon emissions of power users, and supported the labeling of carbon consumption of products

*R&D team: Low Carbon City Energy System Institute

Power spot market clearing model and key technology

• Having established the clearing mechanism and clearing model of provincial and regional spot markets;

• Perform optimization calculations based on various information, conditions and program combinations, and obtain pre-date market trading results;

• On the premise of ensuring power grid safety, priority can be given to the unit with the cheapest quotation in the system.

  
  

*R&D team: Power Market and Carbon Market Institute

咨询工作

Application Cases

• Autonomous, controllable and Highly efficient solution engine for the dispatching optimization Problem of power system

  · Develop autonomous and controllable solution engine optimization solution engine for the optimization of power system in response to the demand of highly efficient and controllable intelligent decision for power system in the scenario with high proportion of new energy, relying on National Key Research and Development Program

  · Having developed smart grid power generation and dispatching plan software to efficiently solve the difficulty of dispatching & decision combination explosion, which has been applied to more than 10 regional/provincial power grids in China, and strongly supported the spot market construction in the South China

  · Relevant achievements have won the second prize of power domestic solver in the first Energy Electronics Innovation Competition

• Smart grid demonstration project - interactive control strategy and system for power generation, transmission and dispatching

  · Having developed the interactive control strategy and dispatching interactive system for power generation & transmission links, based on the "Smart Grid Comprehensive Demonstration Project Characterized by Multi-link Integrated Interaction" by the State Grid Ningxia Electric Power Co., Ltd

  · After adoption of the interactive control strategy for power generation & transmission links, the transmission-to-user amount of new energy has been increased significantly compared with amount before the adoption

  · Having realized online analysis of power grid transmission & dispatching interaction, and effectively reduced labor costs

• Industrial park intelligent power system

  · adopt the core algorithm to make detailed display of the power consumption curve constraint and peak shift willingness of industrial park users

  · Efficiently assist staff in formulating orderly power consumption plans for industrial parks, and provide effective demand response strategies

• Power simulation cloud platform of CSG Electric Power Research Institute

  · Integrate customized intelligent algorithms into the operator platform to realize zero-coding co-construction and sharing, and solve the development problem of the chimney

  · Greatly improve the efficiency of modeling simulation and software development, and shorten the project development cycle by 80% on average

  · Reduce the time of traditional software application development and

  deployment by more than 95% through the convenient development method of drag and pull

  
  

• Hydrogenation device big data modeling platform of CNOOC

  · Having greatly reduced the time from data collection to model deployment from 1 week to 2 hours, and greatly improved the efficiency of modeling analysis

  · Having maintained the qualified rate of product quality at above 99%, and significantly reduced waste hydrogen emissions & production costs

  · Solidify prior knowledge through thematic data sets, and achieve the first application of machine learning pre-training model in refining and

• State Grid power demand response projects across various provinces and municipalities.

  · Successively supported State Grid in completing the construction of demand response demonstration projects across various provinces and municipalities.

  · Ensuring the smooth implementation of demand response across various provinces and municipalities, thereby reducing both the economic costs of power plant construction and the environmental costs of carbon emissions.

• The first power system panoramic carbon emission flow analysis platform in China

  · Having carried out demonstration application of power carbon metering technology and carbon meter system in Changzhou, Nanjing of Jiangsu Province and other places, and endeavored to create a Chinese solution for power indirect carbon emission accounting

  · Having solved the real-time and accurate analysis problem of power system indirect carbon emissions, provided a more refined spatial and temporal analysis dimension for the accounting of indirect carbon emissions, and realized the quantitative analysis of the distribution characteristics & mechanism of carbon emission flows in power grid