2011年-世界发展银行全球_Applications_of_Advanced_Metering_Infrastructure_in_Electricity_Distribution_84页_1mb

Advanced Metering Infrastructure (AMI) in Electricity Distribution

Core Content

Advanced Metering Infrastructure (AMI) is a system that integrates information and communication technologies (ICT) into electricity distribution networks to enable efficient metering, monitoring, and management of electricity consumption. It allows for real-time communication between consumers and the utility, facilitating demand side management (DSM) and improving revenue protection by reducing non-technical losses (NTL).

Main Views

• Definition and Scope: AMI is a comprehensive system that includes meters, communication devices, control computers, data collection systems, and software for managing and analyzing meter data. It is often referred to as "smart metering."
• Historical Development: The concept of automated meter reading (AMR) emerged in the 1980s as a way to reduce manual meter reading costs. AMI evolved from AMR, offering more advanced functionalities such as two-way communication and real-time data transmission.
• Market Trends: AMI is increasingly adopted in both developed and developing countries. As of 2009, over 245 AMI projects were announced globally, with a total of 569.6 million remotely metered endpoints.
• Key Communication Technologies: The two dominant communication technologies used in AMI systems are Power Line Carrier (PLC) and Radio Frequency (RF). These technologies support one-way or two-way data transmission.
• Economic Feasibility: The cost of AMI systems has decreased significantly, making them economically viable. Internal modems cost between $150 and $200, while external modems range from $250 to $400. Data Collection Systems (DCS) cost between $50,000 and $150,000, with operating costs around $10 per month per point.

Key Information

Performance Evaluation Aspects

• Architecture and Infrastructure: AMI systems must be adaptable to the field topography, customer connections, environmental conditions, and network length.
• Communication Reliability: The system should ensure secure and reliable data transmission, with the ability to detect communication faults.
• Installation Compatibility: AMI systems should be compatible with most meters on the market and capable of operating in the distribution network.
• Cost and Maintenance: Cost per unit and maintenance expenses are critical factors. AMI implementation often requires strategic partnerships for software and hardware.
• Management and Governance: AMI enhances corporate governance and reduces opportunities for corruption by eliminating the need for manual meter reading and service disconnection.

Applications in World Bank Country Clients

• Reduction of Non-Technical Losses: AMI is highly effective in reducing NTL, especially among large consumers. In Brazil, Dominican Republic, Honduras, and India, it has been shown to significantly decrease electricity theft.
• Prepaid Consumption in Low-Income Areas: AMI enables prepaid electricity consumption, similar to the mobile phone industry, which is crucial for expanding access in low and medium-income regions.
• Demand Side Management (DSM): AMI supports DSM initiatives by allowing utilities to monitor and manage electricity usage in real-time, thereby improving efficiency for medium and large consumers.

Implementation Strategies

• Phased Approach: AMI implementation typically starts with high and medium voltage consumers, who account for a significant portion of the company's revenue.
• Creation of Specialized Departments: A "Large Customer Department (LCD)" is necessary to manage interactions with large consumers, including metering, billing, and claims.
• Integration of MDM Software: Meter Data Management (MDM) software is essential for analyzing consumption patterns and detecting anomalies. Without it, AMI systems may not effectively reduce NTL.
• Communication Infrastructure: For large low voltage consumers, advanced communication systems such as PLC or RF are required. The design of these systems depends on the geographic location and distribution transformer (DT) layout.

Conclusion

AMI offers a transformative approach to electricity distribution, enabling more efficient and secure management of consumption data. Its implementation requires careful consideration of technical, economic, and institutional factors. Successful AMI deployment has been demonstrated in several World Bank country clients, where it has significantly reduced non-technical losses and improved corporate governance. However, the approach must be tailored to the specific needs and conditions of each utility, with a focus on sustainable and timely implementation.