Moein Moeini Aghtaie

Authoritative resource presenting practical concepts and state-of-the-art research in incentive reliability regulations for the electricity distribution sector Incentive Reliability Regulations in Electricity Distribution provides basic and practical concepts and applied methods on reliability regulations for electricity distribution systems, presenting best practices for setting the target value for distribution reliability in various countries, reviewing a series of investment plans for improving the reliability of distribution systems, and assessing the influence of the reward-penalty scheme on companies' motivation for performing preventive maintenance. The text includes case studies in which the authors use real life examples from around the world. The authors also present lessons learned through implementation of incentive reliability regulations in practice, which are based on projects they have performed for the electricity distribution sector of Iran. Providing thorough and detailed coverage of the subject, Incentive Reliability Regulations in Electricity Distribution covers topics such as: Principles of distribution system regulations and how regulators can quantify reliability of distribution service for incentive regulation applicationsTarget or benchmark values, which allow for a successful regulatory framework to set goals in a logical way, considering various limitationsTechniques which can be utilized to estimate the value of reliability in distribution sectors and designing reward-penalty schemesEffects of reward-penalty schemes on investment plans of the distribution companies and maintenance scheduling Providing valuable insights into practical concepts as well as state-of-the-art research, Incentive Reliability Regulations in Electricity Distribution is an essential resource for researchers in the field of distribution systems, decision makers and experts in distribution companies, and energy distribution regulators and engineers in power industries.

This brief serves as a comprehensive and practical guide to energy system optimization utilizing the Pyomo optimization package in Python. It thoroughly explains the mathematical foundations of energy system technologies and how to employ Pyomo for addressing optimization challenges. The book highlights the significance of energy system optimization in terms of economic and environmental impacts, followed by a detailed exploration of Pyomo, an advanced mathematical programming language. It covers a wide spectrum of problem types, introducing various open-source solvers and outlining the steps involved in developing Python-based Pyomo code to solve optimization problems. Furthermore, the book provides mathematical formulations and Python code for diverse energy technologies, including thermal power plants, renewable energy sources like wind and solar, power transmission lines, and electricity storage systems. It also discusses topics like reliability, load loss, demand-side flexibility, and linearization techniques. To demonstrate practical application, the book offers a case study that progressively builds in complexity, guiding readers in optimizing intricate energy systems based on the models and constraints explained earlier. Targeted at professionals, researchers, and students, it is suitable for those with a foundational understanding of Python and mathematical optimization, and it underscores the crucial role of energy system optimization in addressing contemporary energy sector concerns such as environmental impact reduction and sustainable development.