03894nam 2200805z- 450 991055729620332120210501(CKB)5400000000041077(oapen)https://directory.doabooks.org/handle/20.500.12854/69278(oapen)doab69278(EXLCZ)99540000000004107720202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMulti-Agent Energy Systems SimulationBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (190 p.)3-03943-649-X 3-03943-650-3 The synergy between artificial intelligence and power and energy systems is providing promising solutions to deal with the increasing complexity of the energy sector. Multi-agent systems, in particular, are widely used to simulate complex problems in the power and energy domain as they enable modeling dynamic environments and studying the interactions between the involved players. Multi-agent systems are suitable for dealing not only with problems related to the upper levels of the system, such as the transmission grid and wholesale electricity markets, but also to address challenges associated with the management of distributed generation, renewables, large-scale integration of electric vehicles, and consumption flexibility. Agent-based approaches are also being increasingly used for control and to combine simulation and emulation by enabling modeling of the details of buildings' electrical devices, microgrids, and smart grid components. This book discusses and highlights the latest advances and trends in multi-agent energy systems simulation. The addressed application topics include the design, modeling, and simulation of electricity markets operation, the management and scheduling of energy resources, the definition of dynamic energy tariffs for consumption and electrical vehicles charging, the large-scale integration of variable renewable energy sources, and mitigation of the associated power network issues.History of engineering and technologybicsscagent-based distribution networksagent-based simulationbalancing marketbilateral tradingcollaborationcongestion managementcooperationcustomer satisfaction indicatorday-ahead marketdecision-aiddemand responsedigital twindistributed energy resourcesdistribution system operatordynamic tariffeconomic dispatchenergy consumptionenergy management systemenergy sectorEV chargingimmune system algorithmmarket designMATREM systemmulti-agent systemontologyperformance parametersreactive power managementreal-time optimizationrouting protocolsscoping reviewsmart microgriduncertaintyvariable renewable energywireless sensor networkWireless Sensor Network (WSN)History of engineering and technologyPinto Tiagoedt1283265Soares JoãoedtLezama FernandoedtPinto TiagoothSoares JoãoothLezama FernandoothBOOK9910557296203321Multi-Agent Energy Systems Simulation3019083UNINA