Electricity distribution networks: investment and regulation, and uncertain demand
Year: 2011
Type: book-chapter
Abstract: Introduction Electricity distribution networks are highly capital-intensive systems and timely investments to maintain and upgrade the assets are crucial for long-term reliability and expansion of their service. In the coming years, in the UK, and elsewhere in Europe, many distribution networks will be in need of extensive investments in their aging assets. At the same time, aspects of energy policy concerning climate change, renewable energy sources, energy efficiency, demand-side management (DSM), network energy loss reduction, quality of service standards and even security of supply (Jamasb and Pollitt, 2008) require active, flexible and smart networks that can be achieved only through significant investments. At the same time, the utilities’ investment decisions are dependent on the regulatory framework within which they operate. Following the liberalization of the electricity sectors around the world, the introduction of incentive regulation regimes based on RPI-X models and benchmarking has in most cases improved the efficiency of network utilities. Cost savings can be achieved in operation and maintenance (Opex) and in capital expenditures (Capex). Evaluation of the efficiency potential in Capex is a challenging task. The main difficulty in incentivizing investments is in the discrepancy between the long economic life and the cyclical nature of network assets on the one hand and the considerably shorter (five years in the UK) distribution price control periods on the other. Here both better planning and implementation of investments, or a mere reduction in investments, can appear as achieving efficiency improvement in the short and medium term while the implications of under-investment become apparent in the long run.
Authors: Tooraj Jamasb, Cristiano Marantes
Institutions: Heriot-Watt University, UK Power Networks
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1527137323