Electric Utility Resource Planning: Past, Present and Future covers the balance of renewable costs, energy storage, and flexible backstop mechanisms needed in electric utility resource planning. In addition, it covers the optimization of planning methodologies and market design. The book argues that net load, ramping and volatility concerns associated with renewables call into question the validity of almost a century of planning approaches. Finally, it suggests that accounting for flexibility helps optimize the efficiency of the entire fleet of assets, minimizing costs and CO2 generation simultaneously, concluding that a flexible, independent backstop mechanism is needed, regardless of renewables or storage. Case studies provide a mix of hypothetical "what if" scenarios and analyses of real-life utility portfolios drawn from international examples. - Examines how resource planners and policy specialists can plan to incorporate renewable generation technologies, thus uniting considerations of technology, methodology, business and policy - Focuses on the reality of long-term decision-making and planning processes in working utilities - Reviews novel approaches towards resource planning that yield lower costs and CO2 - Emphasizes the need for flexible backstop mechanisms to maintain reliability

This open access book analyzes and seeks to consolidate the use of robust quantitative tools and qualitative methods for the design and assessment of energy and climate policies. In particular, it examines energy and climate policy performance and associated risks, as well as public acceptance and portfolio analysis in climate policy, and presents methods for evaluating the costs and benefits of flexible policy implementation as well as new framings for business and market actors. In turn, it discusses the development of alternative policy pathways and the identification of optimal switching points, drawing on concrete examples to do so. Lastly, it discusses climate change mitigation policies’ implications for the agricultural, food, building, transportation, service and manufacturing sectors.

Since the mid-seventies, electric utilities were faced with escalating construction costs, growing environmental plus siting constraints and increasing uncertainty in demand forecasting. To cope with the increasing demand for energy services, utilities can either invest in supply-side options (new generation, transmission and distribution facilities) or in demand-side options. Demand-side options include, policies, programmes, innovative pricing schemes and high-efficiency end-use equipment (equipment providing the same or better level of services but using less energy or peak power). Recent experience in both North America and Europe show that demand-side options are usually cheaper and less damaging from the environmental point of view, and also their potential can be tapped in a shorter term than other supply-side options. This workshop was directed at the discussion and analysis of cost-effective methodologies to achieve the supply of electric energy services at minimum cost and minimum environmental impact. The programme included new developments in power planning models which can integrate both supply-side and demand-side actions. Quantitative assessments of the environmental impact of different supply-demand strategies were analyzed. Planning models which deal with uncertainty and use multicriteria approaches were presented. Case studies and experiments with, innovative concepts carried out by utilities in several countries were discussed. Load modelling and evaluation of demad-side programmes was analyzed. Additionally, the potential for electricity savings in the industrial, commercial and residential sectors was presented. New research directions covering planning models, programmes and end-use technologies were identified.

Uncertainties in Modern Power Systems combines several aspects of uncertainty management in power systems at the planning and operation stages within an integrated framework. This book provides the state-of-the-art in electric network planning, including time-scales, reliability, quality, optimal allocation of compensators and distributed generators, mathematical formulation, and search algorithms. The book introduces innovative research outcomes, programs, algorithms, and approaches that consolidate the present status and future opportunities and challenges of power systems. The book also offers a comprehensive description of the overall process in terms of understanding, creating, data gathering, and managing complex electrical engineering applications with uncertainties. This reference is useful for researchers, engineers, and operators in power distribution systems. - Includes innovative research outcomes, programs, algorithms, and approaches that consolidate current status and future of modern power systems - Discusses how uncertainties will impact on the performance of power systems - Offers solutions to significant challenges in power systems planning to achieve the best operational performance of the different electric power sectors