Distributed Energy Resources Management

• Autore: Faria Pedro
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
• Descrizione fisica: 1 online resource (236 p.)
• Soggetto non controllato: ac/dc hybrid microgrid; adaptive droop control; advance and retreat method; aggregator; aggregators; ARIMA; autonomous operation; average consensus algorithm (ACA); black start; building energy flexibility; business model; Cat Swarm Optimization (CSO); clustering; co-generation; consensus algorithm; decision-making under uncertainty; demand response; Demand Response (DR); Demand Response Unit Commitment (DRUC); demand-side energy management; diffusion strategy; discrete wavelet transformer; distributed generation; distributed system; domestic energy management system; electricity markets; energy flexibility; energy flexibility potential; energy management system; energy trading; fault localization; hierarchical game; interval optimization; local controller; microgrid; microgrid (MG); microgrid operation; microgrids; multi-agent system (MAS); multiplier method; non-cooperative game (NCG); optimal bidding; optimal operation; Powell direction acceleration method; power system restoration (PSR); pricing strategy; probabilistic programming; real-time simulation; renewable energy; scheduling; stochastic programming; storage; thermal comfort; time series; transmission line; uncertainty; Unit Commitment (UC); virtual power plant
• Sommario/riassunto: At present, the impact of distributed energy resources in the operation of power and energy systems is unquestionable at the distribution level, but also at the whole power system management level. Increased flexibility is required to accommodate intermittent distributed generation and electric vehicle charging. Demand response has already been proven to have a great potential to contribute to an increased system efficiency while bringing additional benefits, especially to the consumers. Distributed storage is also promising, e.g., when jointly used with the currently increasing use of photovoltaic panels. This book addresses the management of distributed energy resources. The focus includes methods and techniques to achieve an optimized operation, to aggregate the resources, namely, by virtual power players, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as a main drive for their efficient use.
• Titolo autorizzato: Distributed Energy Resources Management
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346681403321
• Lo trovi qui: Univ. Federico II