Virtual Power Plant System Integration Technology (Power Systems)

✍ Scribed by Chuzo Ninagawa

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 260
• Category: Library

✦ Synopsis

This book focuses on building air conditioning demand response and power storage batteries as the resources that make up the virtual power plant. The research and its outcomes presented in this book provide an overview of virtual power plant technology. The contents focus on both fundamentals and advanced topics such as role of central power supply control office, battery charge and discharge control system, power system simulation, system design for practical application, etc. This is a highly informative and carefully presented book, providing insight to students, engineers, and researchers in the field of power systems

✦ Table of Contents

Preface
Contents
1 Smart Grid
1.1 What Is Power System?
1.1.1 History of Power System
1.1.2 Supply and Demand Balance of Power System
1.2 Supply and Demand Control of the Power System
1.2.1 Central Power Supply Control Center
1.2.2 Renewable Energy Generation and Supply and Demand Control
1.3 Smart Grid
1.3.1 Fast Demand Response
1.3.2 Virtual Power Plant System
1.3.3 Air-Conditioning Power Demand Response
1.3.4 Air-Conditioning Power Demand Response and Storage Battery
References
2 Power Supply and Demand Balance
2.1 What Is the Supply and Demand Adjustment of the Power System?
2.1.1 Frequency in AC Power System
2.1.2 Instant Balance and Frequency of Power Generation and Demand
2.2 Role of Central Power Supply Control Center
2.2.1 Load Frequency Control LFC
2.2.2 Economic Dispatch Control EDC
References
3 Virtual Power Plant System
3.1 Virtual Power Plant Concept
3.1.1 Power Demand and Negawatt
3.1.2 Customer Side Virtual Power Plant Services
3.2 Communication Systems in Virtual Power Plant
3.2.1 OpenADR Indirect Control Communication
3.2.2 IEC 61850 Direct Control Communication
3.2.3 IEEE 1888 Communication for Customer Facility’s Equipment
References
4 Components of Virtual Power Plant
4.1 Power Storage Battery
4.1.1 Battery Energy Storage System
4.1.2 Grid Connection of Battery System
4.2 Battery Charge and Discharge Control System
4.2.1 JEPX Hour-Ahead Market: Japan Case
4.2.2 Automatic Optimal Bid Agent
4.2.3 Power Wholesale Market Price Forecasting Model
4.3 Demand Response
4.3.1 Negawatts Trading in Demand Response
4.3.2 Current Status of Negawatt Trading: Japan Case
4.3.3 FastADR in Virtual Power Plant
4.4 Baseline Estimation
4.4.1 Conventional Baseline Estimation Method
4.4.2 Baseline Estimation of FastADR
References
5 Battery Control in Virtual Power Plant
5.1 Supply and Demand Adjustment by Storage Battery System
5.1.1 Battery System Control in Virtual Power Plant
5.1.2 Specific Supply and Demand Adjustment Control of Power Batteries
5.2 Supply and Demand Adjustment Service Using Battery
5.2.1 Service Information of Battery Storage System
5.2.2 Electricity Demand Adjustment Service Command
5.2.3 Communication Service According to IEC 61850 Standard
5.2.4 IoT Control of Storage Battery System
References
6 Demand Side Equipment Control in Virtual Power Plant
6.1 FastADR Response Prediction for Building Multi-type Air-Conditioning
6.1.1 FastADR Response Prediction for Building Multi-type Air-Conditioning
6.1.2 Neural Network Prediction
6.1.3 Deep Learning Methods
6.2 Building Multi-type Air-Conditioning FastADR Room Temperature Variation
6.2.1 Neural Network for Predicting the Variation of Room Temperature
6.2.2 Prediction Example for Room Temperature Variation Due to FastADR
6.3 Negawatt Aggregation of Building Multi-type Air-Conditioners
6.3.1 Averaging Effect of Building Multi-type Air-Conditioning Facility
6.3.2 Comfort Preservation and Rotational Control
6.4 Compensation for Building Multi-type Air-Conditioner Facility FastADR Using Storage Battery
6.4.1 Building Multi-type Air-Conditioning FastADR Followability to Supply and Demand Adjustment Signal
6.5 Compensation for Building Multi-type Air-Conditioner Facility FastADR Using Storage Battery
6.5.1 Building Multi-type Air-Conditioning FastADR Followability to Supply and Demand Adjustment Signal
6.5.2 Compensation of Tracking Error by Storage Battery of Building Multi-type Air-Conditioner Facility FastADR
References
7 Virtual Power Plant Performance
7.1 Building Multi-type Air-Conditioning Power Control Model
7.1.1 Power Consumption of Building Multi-type Air-Conditioning
7.1.2 Building Multi-type Air-Conditioning Power Control Model
7.2 Office Building Thermal Load Simulation Model
7.2.1 Solar Heat Load Model
7.2.2 Thermal Load Model of Standard Office Building
7.3 Power System Simulation of Virtual Power Plant
7.3.1 Instantaneous Supply and Demand Analysis of Power System
7.3.2 Simulation Model of Virtual Power Plant of Building Multi-type Air-Conditioning
7.3.3 Example of Virtual Power Plant Performance Simulation
7.4 Evaluation of Control Performance of Virtual Power Plant
7.4.1 Example of Evaluation Criteria for Grid Operation Organizations in United States
7.4.2 Building Multi-type Air-Conditioning Virtual Power Generation Control Model
7.4.3 Evaluation Example of Building Multi-type Air-Conditioning Virtual Power Generation
7.5 Building Multi-type Air-Conditioning FastADR and Room Temperature Preservation
7.5.1 Building Multi-type Air-Conditioning Power/Room Temperature State Space Model
7.5.2 Building Multi-type Air-Conditioning FastADR Optimum Regulator
7.6 Virtual Power Plant Communication and Traffic Evaluation
7.6.1 FastADR Web Service Communication Analysis
7.6.2 FastADR Web Service Communication Simulation
References
8 Communication Standards in Virtual Power Plant
8.1 OpenADR Communication Standard
8.1.1 Communication Method of OpenADR Standard
8.1.2 Communication Services According to OpenADR Standard
8.1.3 OpenADR Standard Software Implementation
8.2 IEC 61850 Communication Standard
8.2.1 IEC 61850 Logical Nodes Configuration
8.2.2 Implementation of IEC 61850 Standard Software
8.3 IEEE1888 Communication Standard
8.3.1 Communication Method of IEEE 1888 Standard
8.3.2 Implementation of IEEE 1888 Standard Software
References
9 Outlook of the Virtual Power Plant: A Japan Perspective
9.1 Potential Resources
9.1.1 Potential of Building Multi-type Air-Conditioning System
9.1.2 Suitability of Air-Conditioning Load for High-Speed Demand Response
9.2 System Design for Practical Application
9.2.1 System Design for Supply and Demand Adjustment Market: Japan Case
9.3 Key Social System
9.3.1 Compensation for Virtual Power Plant Service
9.3.2 Clean Value of Virtual Power Plant
References