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Based upon probabilistic reliability metrics, we develop an optimization model to determine the efficient amount and location of firm generation capacity to achieve reliability targets in multi-regional electricity systems. A particular focus lies on the representation and contribution of transmission capacities as well as variable renewable resources. Calibrating our model with a comprehensive dataset for Europe, we find that there are substantial benefits from regional cooperation. The amount of firm generation capacity to meet a perfectly reliably system could be reduced by 36.2 GW (i.e., 6.4%) compared to an isolated regional approach, which translates to savings of 14.5 bn EUR. Interconnectors contribute in both directions, with capacity values up to their technical maximum of close to 200%, while wind power contributions are in the range of 3.8–29.5%. Furthermore, we find that specific reliability targets heavily impact the efficient amount and distribution of reliable capacity as well as the contribution of individual technologies.

This paper presents a security constrained unit commitment (SCUC) suitable for power systems with a large share of wind energy. The deterministic spinning reserve requirement is supplemented by an adjustable fraction of the expected shortfall from the supply of wind electric generators (WEGs), computed using the stochastic feature of wind and loosely represented in the security constraint with scenarios. The optimization tool commits and dispatches generating units while simultaneously determining the geographical procurement of the required spinning reserve as well as load-following ramping reserve, by mixed integer quadratic programming (MIQP). Case studies are used to investigate various effects of grid integration on reducing the overall operation costs associated with more wind power in the system.

This book reviews the major developments in and the lessons learned from the 21-year (1991-2012) experience with private sector participation (PSP) in the power sector in India. It discusses the political economy context of the policy changes, looks at reform initiatives that were implemented for the generation sector, describes transmission and distribution segments at different points in the evolution of the sector, and concludes with a summary of lessons learned and a suggested way forward. The evolution of private participation in the Indian power sector can be divided into different phases. Phase one was launched with the opening of the generation sector to private investment in 1991. Phase two soon followed - early experiments with state-level unbundling and other reform initiatives, including regulatory reform, culminating in divestiture, and privatization in Orissa and Delhi respectively. Phase three, the passage of the electricity act of 2003 by the central government, followed by a large increase in private entry into generation and forays into transmission and experiments with distribution franchise models in urban and rural areas during the 11th five-year plan (2007-12) period. In phase four, at the start of the 12th five-year plan (2012-17), the sector is seeing a sharp reduction in bid euphoria and greater risk aversion on the part of bidders, who are concerned about access to basic inputs such as fuel and land. In this context, the report is structured as follows: chapter one gives introduction; chapter two presents private sector participation in thermal generation; chapter three presents private sector participation in transmission; chapter four deals with private sector participation in distribution; chapter five deals with private sector participation in the Indian solar energy sector; chapter six deals with financing of the power sector; chapter seven presents emerging issues and proposed approaches for the Indian power sector; and chapter eight give updates.

Tajikistan's electricity system is in a state of crisis. Approximately 70 percent of the Tajik people suffer from extensive shortages of electricity during the winter. These shortages, estimated at about 2,700 GWh, about a quarter of winter electricity demand, impose economic losses estimated at over United States (US) 200 million dollars per annum or 3 percent of Gross Domestic Product (GDP). The electricity shortages have not been addressed because investments have not been made in new electricity supply capacity and maintenance of existing assets has not improved. The financial incentive for electricity consumers to reduce their consumption is inadequate as electricity prices are among the lowest in the world. Without prompt action to remedy the causes of Tajikistan's electricity crisis and with growing demand, the shortages could increase to about 4,500 GWh by 2016 (over a third of winter electricity demand) or worse. The World Bank undertook this study to assist the Government of Tajikistan (GoT) in finding ways to overcome the current electricity shortages and establish a sound basis for meeting the growing electricity demand in Tajikistan. The study focuses on the investments and policy reforms needed between now and 2020 to strengthen the financial, technical and institutional capacity of the Tajik power sector and prepare the GoT for undertaking a major expansion of power supply capacity. The study excludes large hydropower plants with storage, given their complexity and global experience that such projects are subject to delays. The winter electricity shortages are caused by a combination of low hydropower output during winter when river flows are low and high demand driven by heating needs. The GoT should focus its immediate attention on three ways to eliminate the current winter power shortages: 1) ambitious energy efficiency plans to reduce uneconomic power usage; 2) new dual-fired thermal power supply to complement the existing hydropower supply during winter; and 3) increased energy imports to leverage surplus electricity supply in neighboring countries.

One of the UN agenda 2030 Sustainable Development goals is associated with water availability and its sustainable management. The present study intends to improve multipurpose reservoir management under climate change scenarios in water scarce regions such as the Mediterranean. Implemented methods include the sequential use of climate model results, hydrological modelling, and reservoir water balance simulation, which are used to estimate future water availability. This work focuses on developing an innovative reservoir management approach based on rule curves and a dynamic assessment of water needs, to improve the management of reservoirs that are dependent on a water transfer system. The proposed methods are implemented in two reservoirs located in a typical Mediterranean river basin and assessed under long-term climate change scenarios up to the year 2100. The results show that the proposed approach can ensure 100% of the urban water supply, improve the reliability of the irrigation supply from 75% to 86–91%, and provide 92–98% of the river ecological flow. It is also demonstrated that this management approach is beneficial, particularly in the case of multipurpose reservoirs in watersheds facing water scarcity risks, to optimize the balance between supply reliability, water transfer volumes, and costs.

Half of humanity about 3 billion people are still relying on solid fuels for cooking and heating. Of that, about 2.5 billion people depend on traditional biomass fuels (wood, charcoal, agricultural waste, and animal dung), while about 400 million people use coal as their primary cooking and heating fuel (UNDP and WHO 2009). The majority of the population relying on solid fuels lives in Sub-Saharan Africa and in South Asia. In some countries in Central America and in East Asia and the Pacific, the use of solid fuels is also significant. The inefficient and unsustainable production and use of these fuels result in a significant public health hazard, as well as negative environmental impacts that keep people in poverty. Strategies to improve energy access to the poor have focused mainly on electricity access. They have often neglected non electricity household energy access. It is, however, estimated that about 2.8 billion people will still depend on fuel wood for cooking and heating in 2030 in a business-as-usual modus operandi (IEA 2010). The need for urgent interventions at the household level to provide alternative energy services to help improve livelihoods is becoming more and more accepted. This report's main objective is to conduct a review of the World Bank's financed operations and selected interventions by other institutions on household energy access in an attempt to examine success and failure factors to inform the new generation of upcoming interventions. First, the report provides a brief literature review to lay out the multidimensional challenge of an overwhelming reliance on solid fuels for cooking and heating. Second, it highlights how the Bank and selected governments and organizations have been dealing with this challenge. Third, it presents lessons learned to inform upcoming interventions. And finally, it indicates an outlook on the way forward.

The Energy Sector Management Assistance Program (ESMAP) is a global technical assistance program that promotes the role of energy in poverty reduction and economic growth with redistribution. ESMAP undertakes analytical work and provides policy advice on sustainable energy development to governments and other institutions in developing countries and economies in transition. ESMAP was established in 1983 under the joint sponsorship of the World Bank and the United Nations Development Programme as a partnership in response to global energycrises. Since its creation, ESMAP has operated in some 100 different countries through more than 500 activities covering a broad range of energy issues.

The existing literature on power grid reliability extensively examines the effects of individual automation technologies, such as Smart Grids, IoT, and AI, on reducing SAIDI (System Average Interruption Duration Index) and SAIFI (System Average Interruption Frequency Index) indices. However, previous studies have largely focused on partial analyses, often limited to specific aspects of grid operation or isolated case studies. As a result, there is a lack of a comprehensive and integrated theoretical approach that considers the interdependencies between different automation technologies, their impact on various levels of grid management and the economic consequences of their deployment. This study presents a novel theoretical framework aimed at providing a holistic perspective on power grid automation and its impact on energy supply reliability. The key elements of this approach include developing a multidimensional mathematical model that integrates the impact of key automation technologies on SAIDI and SAIFI, allowing for a quantitative assessment of different implementation strategies and applying a probabilistic approach to predict the likelihood of power outages based on the level of automation and real-time grid conditions. This proposed framework offers a holistic view of power grid automation, integrating technical, economic and operational dimensions. It serves as a foundation for further empirical research and the implementation of intelligent grid modernisation strategies, aiming to enhance power supply stability and increase the resilience of distribution networks against outages. The introduced concept aligns with the current challenges of the energy transition, providing utilities and policymakers with analytical tools for making optimal decisions regarding the adoption of digitalisation and automation technologies in the power sector.

The reliability of the power supply in low-voltage distribution networks plays a crucial role in efficient power system operation. Faced with the growing demand for electricity and the diverse usage patterns of users, existing management approaches struggle to meet the varying needs of different groups. This paper proposes a reliability assessment model that is based on user demands and integrates the Delphi method and gray relational analysis to provide an innovative approach for low-voltage distribution network tiered classification management. The study focuses on the distribution network of a certain area in China. In terms of reliability assessment methods, this study creatively introduces the equivalent series method to simplify the reliability evaluation, enabling a more efficient and intuitive reliability analysis. Through actual substation case studies, this research not only assesses low-voltage distribution network reliability but also identifies weak links within the system and the key factors affecting power supply reliability via a chain tracing method, providing a scientific basis for future management strategies.