Reprint

Energy Management of Prosumer Communities

Edited by
September 2021
133 pages
  • ISBN978-3-0365-2058-2 (Hardback)
  • ISBN978-3-0365-2057-5 (PDF)

This book is a reprint of the Special Issue Energy Management of Prosumer Communities that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

The penetration of distributed generation, energy storages and smart loads has resulted in the emergence of prosumers: entities capable of adjusting their electricity production and consumption in order to meet environmental goals and to participate profitably in the available electricity markets. Significant untapped potential remains in the exploitation and coordination of small and medium-sized distributed energy resources. However, such resources usually have a primary purpose, which imposes constraints on the exploitation of the resource; for example, the primary purpose of an electric vehicle battery is for driving, so the battery could be used as temporary storage for excess photovoltaic energy only if the vehicle is available for driving when the owner expects it to be. The aggregation of several distributed energy resources is a solution for coping with the unavailability of one resource. Solutions are needed for managing the electricity production and consumption characteristics of diverse distributed energy resources in order to obtain prosumers with more generic capabilities and services for electricity production, storage, and consumption. This collection of articles studies such prosumers and the emergence of prosumer communities. Demand response-capable smart loads, battery storages and photovoltaic generation resources are forecasted and optimized to ensure energy-efficient and, in some cases, profitable operation of the resources.

Format
  • Hardback
License
© by the authors
Keywords
power-to-heat; sector coupling; thermal storage; district heat; deep well heat pump; hierarchical agglomerative clustering; chronology; demand response; two-capacity building model; residential users; demand response; flexible loads shifting scenarios; community of prosumers; new consumption peak; shared PV plant; storage batteries; load factor; demand response; real-time pricing; prosumers; electricity price forecasting; particle swarm optimization; renewable energy; peer-to-peer; electricity market; economic dispatch; consensus + innovations; distributed energy resources; battery; reinforcement learning; simulation; frequency reserve; frequency containment reserve; timescale; artificial intelligence; real-time; electricity market