Decentralized control of units in smart grids for the support of renewable energy supply
Tài liệu tham khảo
Asmus, 2010, Microgrids, virtual power plants and our distributed energy future, Electr J, 23, 72, 10.1016/j.tej.2010.11.001
Awerbuch, 1997, The virtual utility: accounting, technology & competitive aspects of the emerging industry, 26
Beer, 2011, Towards a self-organisation mechanism for agent associations in electricity spot markets
BMU, 2012, Langfristszenarien und Strategien für den Ausbau der erneuerbaren Energien in Deutschland bei Berücksichtigung der Entwicklung in Europa und global
BMWi, 2010, Energiekonzept der Bundesrepublik Deutschland
Bremer, 2013, Kommunikation von Umweltkennzahlen im Smart Grid und deren Integration in die verteilte Wirkleistungsplanung
Bremer, 2013, Constraint-handling for optimization with support vector surrogate models: a novel decoder approach
Bremer, 2013, Sampling the search space of energy resources for self-organized, agent-based planning of active power provision
Bremer, 2011, Encoding distributed search spaces for virtual power plants
Burkhardt, 2007, CO2-Emissionen der Stromerzeugung - Ein ganzheitlicher Vergleich verschiedener Techniken
EU
EU Commission Task Force on Smart Grids (EU ETP), 2010, Expert group 1: functionalities of smart grids and smart meters
Fitz-Gibbon, 1990, Performance indicators
Georgii, 2004
Grüne, 2011
Hinrichs, 2014, A decentralized heuristic for multiple-choice combinatorial optimization problems, 297
Hrebıcek, 2007, Environmental key performance indicators and corporate reporting, 978
IPCC, 2013, Climate change 2013: the physical science basis
Kim, 2008, Fast incremental learning for one-class support vector classifier using sample margin information
Koziel, 1999, Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization, Evol Comput, 7, 19, 10.1162/evco.1999.7.1.19
Kramer, 2010, A review of constraint-handling techniques for evolution strategies, Appl Comp Intell Soft Comput, 10.1155/2010/185063
Kramer, 2011, Short-term wind energy forecasting using support vector regression, 271
Lünsdorf, 2012, Selbstorganisation virtueller Geräte für das Lastmanagement von Kleinverbrauchern
Mackensen, 2008
Michalak, 2010, A distributed algorithm for anytime coalition structure generation, AAMAS — Auton Agent Multi-Agent Syst, 1, 1007
Modi, 2005, ADOPT: asynchronous distributed constraint optimization with quality guarantees, Artif Intell J (AIJ), 161, 149, 10.1016/j.artint.2004.09.003
Negenborn, 2010
Nieße, 2013, Using grid related cluster schedule resemblance for energy rescheduling — goals and concepts for rescheduling of clusters in decentralized energy systems
Nieße, 2014, Conjoint dynamic aggregation and scheduling for dynamic virtual power plants
Rosinger, 2013, Threat scenarios to evaluate trustworthiness of multi-agents in the energy data management
Schlager, 2011, Ist die Zukunft heute schon möglich? Ein Zwischenfazit der sozialwissenschaftlichen Begleitforschung im Projekt GridSurfer, 121
Schütte, 2011, Mosaik: a framework for modular simulation of active components in Smart Grids
Sonnenschein, 2012, Dezentrale und selbstorganisierte Koordination in Smart Grids
Sonnenschein, 2013, Smart grids for optimised utilisation of renewable energy supply
Stadler, 2009, Modelling and evaluation of control schemes for enhancing load shift of electricity demand for cooling devices, Environ Model Softw, 24, 285, 10.1016/j.envsoft.2008.07.003
Stamminger, 2008, Synergy potential of smart appliances
Tax, 1999, Support vector domain description, Pattern Recogn Lett, 20, 1191, 10.1016/S0167-8655(99)00087-2
Tröschel, 2011, Using electric vehicle charging strategies to maximize PV-integration in the low voltage grid. 6
UBA, 2013
Vornberger, 2011, Optimized charging management for electric vehicles
Weider, 2011, Die Rolle von Lernprozessen und symbolischer Aufladung bei der Nutzerakzeptanz von Batterie-Elektrofahrzeugen, 105
Wissing, 2012, Using automated market analysis for optimized economic operation of DER in virtual power plants
Wolter, 2010, Multi-agent based distributed power flow calculation