本报告是《电力数字智能技术发展与展望》的英文版。本报告立足电力数字智能技术的功能定位及发展需求，从技术视角分析了主要关键技术的发展现状、主要应用和研发方向，并就数字智能技术对电力系统、电力企业、能源产业生态的潜在价值进行了评估。报告分为8章，第1章数字智能技术发展现状与电力领域的转型需求出发，分析提出电力数字智能技术的发展目标与定位；第2至7章，分别研究了传感技术、通信技术、控制技术、芯片技术、大数据与区块链、人工智能等6项关键技术；第8章总结了关键技术发展趋势，分别从新型电力系统构建、智能企业创新管理、“能源+信息+”产业融合发展、电力大数据赋能等4个方面，展望和描绘了电力数字智能技术高度发达的十大典型情景。

PREFACE
SUMMARY
1 Development Status and Trend
1.1 Development Status
1.1.1 Dl Technologies Leading Social Change
1.1.2 Dl Technologies are Widely Used in the Power Sector
1.1.3 Electric Power Development Promotes the Progress of DI Technologies
1.2 Situations and Requirements
1.2.1 Requirements for Establishing a New Power System
1.2.2 Requirements for Building a Smart Operation System
1.2.3 Requirements for Collaborative and Integrated Industry Development
1.3 Target Orientation
1.3.1 Smart Upgrade of Power System
1.3.2 Construction of Energy Interconnection Ecology
1.4 Key Technologies
1.4.1 Accurate Sensing - Sensor (Measure) Technology
1.4.2 Information Transmission - Communication Technology
1.4.3 Stable Operation - Control (Protection) Technology
1.4.4 Core Element - Chip Technology
1.4.5 Data Platform - Big Data and Blockchain
1.4.6 Decision Support - Artificial Intelligence
1.5 Summary
2 Sensor (Measure) Technology
2.1 Current Technical Status
2.1.1 History of Development
2.1.2 Current Application
2.2 Main Applications
2.2.1 Measurement of Core Electrical Quantities
2.2.2 Sensing of Operating Status of Power Generation Device
2.2.3 Sensing of Operating Status of Power Transmission Line
2.2.4 Sensing of Operating Status of Transformer Equipment
2.2.5 Sensing of Operating Status of Power Distribution Device
2.2.6 Sensing of Operating Status for Electrical Load
2.3 Key Technologies
2.3.1 MEMS Sensor Technology
2.3.2 Optical Fiber Sensor Technology
2.3.3 Networking Technology for Sensors
2.3.4 Self-energy Extraction Technology
2.4 R&D Direction
2.4.1 Low-cost Integration
2.4.2 Built-in Anti-interference Capability
2.4.3 Multi-node Ad Hoc Network
2.4.4 Low Energy Consumption in Self-energy Extraction
2.5 Summary
3 Communication Technology
3.1 Current Technical Status
3.1.1 History of Development
3.1.2 Current Application
3.2 Main Applications
3.2.1 Communication inside Power Generation Plant
3.2.2 Power Communication Network
3.2.3 Communication on User Side
3.3 Key Technologies
3.3.1 Carrier Communication
3.3.2 Optical Fiber Communication
3.3.3 Microwave Communication
3.3.4 Satellite Communication
3.3.5 Bus Communication
3.4 R&D Direction
3.4.1 Larger Capacity
3.4.2 Wider Coverage
3.4.3 Lower Delay
3.4.4 Higher Security
3.5 Summary
4 Control (Protection) Technology
4.1 Current Technical Status
4.1.1 Stage of Classical Control Theory
4.1.2 Stage of Modern Control Theory
4.1.3 Stage of Intelligent Control Theory
4.1.4 Development History of Protection Technology
4.2 Main Applications
4.2.1 Power Plant Control System
4.2.2 Power Grid Dispatching Control
4.2.3 Integrated Substation Automation
4.2.4 Power Demand Control
4.3 Key Technologies
4.3.1 Classical Control
4.3.2 Linear System Control
4.3.3 Nonlinear System Control
4.3.4 System Identification
4.3.5 Fuzzy Logic Control
4.3.6 Neural Network Control
4.3.7 Expert Control
4.3.8 Genetic Algorithm
4.3.9 Wide Area Protection
4.4 B&D Direction
4.4.1 Stochastic Optimal Control
4.4.2 Measurement-ldentification-Control Technology
4.4.3 Wide Area Control Technology
4.4.4 Collaborative Technology Between Protection and Control
4.4.5 System Protection
4.5 Summary
5 Chip Technology
5.1 Current Technical Status
5.1.1 History of Development
5.1.2 Current Application
5.2 Main Applications
5.2.1 Smart Meter
5.2.2 Power Communication
5.2.3 Electricity Safety
5.2.4 Asset Management
5.2.5 Equipment Status Monitoring
5.3 Key Technologies
5.3.1 Low Power Consumption
5.3.2 Design for Reliability
5.3.3 Electromagnetic Protection
5.3.4 Design for Testability
5.3.5 Thermal Simulation
5.4 R&D Direction
5.4.1 Sensor Chips
5.4.2 Communication Chips
5.4.3 Main Control Chip
5.4.4 Secure Chip
5.4.5 Radio Frequency Identification Chip
5.5 Summary
6 Big Data and Blockchain Technology
6.1 Current Technical Status
6.1.1 History of Development
6.1.2 Current Application
6.2 Main Applications
6.2.1 System Operation
6.2.2 Corporate Governance
6.2.3 Market Analysis
6.2.4 Predictive Study
6.2.5 Market Transactions
6.3 Key Technologies
6.3.1 Integration of Multi-Source Data
6.3.2 Analysis and Mining
6.3.3 Distributed Storage
6.3.4 Parallel Computing
6.3.5 Visualization
6.3.6 Consensus Algorithm
6.3.7 Asymmetric Cryptographic Algorithm
6.3.8 Peer-to-peer Network Technology
6.3.9 Smart Contract
6.3.10 Other Data Processing Techniques
6.4 R&D Direction
6.4.1 Acquisition and Storage Technology of Big Data
6.4.2 Analysis and Mining Technology of Big Data
6.4.3 Security and Privacy Protection for Big Data
6.4.4 Upgrade of Core Technology of Blockchain
6.5 Summary
7 Artificial Intelligence Technology
7.1 Current Technical Status
7.1.1 History of Development
7.1.2 Current Application
7.2 Main Applications
7.2.1 Source and Load Forecasting
7.2.2 Power Grid Dispatching
7.2.3 Equipment O&M
7.2.4 Electricity Marketing
7.2.5 Planning and Design
7.3 Key Technologies
7.3.1 Machine Learning
7.3.2 Speech Processing
7.3.3 Computer Vision
7.3.4 Intelligent Robot
7.3.5 Biometric ldentification
7.3.6 Expert System
7.4 Development Direction
7.4.1 Swarm Intelligence
7.4.2 Hybrid Enhanced Intelligence
7.4.3 Cognitive Intelligence
7.4.4 Unmanned Intelligence
7.5 Summary
8 Development Prospect
8.1 Development Trend of Technologies
8.2 Prospect of Development Scenario
8.2.1 DI Power System
8.2.2 Intelligent Enterprise Management
8.2.3 "Energy+Information+" Industry
8.2.4 Power Big Data Empowerment
Appendix Abbreviations / Definitions