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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.

autonomous operation --- energy management system --- stochastic programming --- co-generation --- Unit Commitment (UC) --- distributed system --- demand-side energy management --- virtual power plant --- Powell direction acceleration method --- average consensus algorithm (ACA) --- transmission line --- interval optimization --- renewable energy --- microgrids --- scheduling --- business model --- non-cooperative game (NCG) --- domestic energy management system --- time series --- energy trading --- decision-making under uncertainty --- Demand Response Unit Commitment (DRUC) --- real-time simulation --- distributed generation --- discrete wavelet transformer --- microgrid (MG) --- probabilistic programming --- optimal bidding --- ac/dc hybrid microgrid --- building energy flexibility --- storage --- uncertainty --- Cat Swarm Optimization (CSO) --- advance and retreat method --- multiplier method --- microgrid --- Demand Response (DR) --- electricity markets --- aggregators --- fault localization --- aggregator --- consensus algorithm --- black start --- microgrid operation --- local controller --- thermal comfort --- diffusion strategy --- optimal operation --- power system restoration (PSR) --- energy flexibility --- ARIMA --- pricing strategy --- clustering --- adaptive droop control --- multi-agent system (MAS) --- hierarchical game --- energy flexibility potential --- demand response

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

autonomous operation --- energy management system --- stochastic programming --- co-generation --- Unit Commitment (UC) --- distributed system --- demand-side energy management --- virtual power plant --- Powell direction acceleration method --- average consensus algorithm (ACA) --- transmission line --- interval optimization --- renewable energy --- microgrids --- scheduling --- business model --- non-cooperative game (NCG) --- domestic energy management system --- time series --- energy trading --- decision-making under uncertainty --- Demand Response Unit Commitment (DRUC) --- real-time simulation --- distributed generation --- discrete wavelet transformer --- microgrid (MG) --- probabilistic programming --- optimal bidding --- ac/dc hybrid microgrid --- building energy flexibility --- storage --- uncertainty --- Cat Swarm Optimization (CSO) --- advance and retreat method --- multiplier method --- microgrid --- Demand Response (DR) --- electricity markets --- aggregators --- fault localization --- aggregator --- consensus algorithm --- black start --- microgrid operation --- local controller --- thermal comfort --- diffusion strategy --- optimal operation --- power system restoration (PSR) --- energy flexibility --- ARIMA --- pricing strategy --- clustering --- adaptive droop control --- multi-agent system (MAS) --- hierarchical game --- energy flexibility potential --- demand response

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Energy efficiency and low-carbon technologies are key contributors to curtailing the emission of greenhouse gases that continue to cause global warming. The efforts to reduce greenhouse gas emissions also strongly affect electrical power systems. Renewable sources, storage systems, and flexible loads provide new system controls, but power system operators and utilities have to deal with their fluctuating nature, limited storage capabilities, and typically higher infrastructure complexity with a growing number of heterogeneous components. In addition to the technological change of new components, the liberalization of energy markets and new regulatory rules bring contextual change that necessitates the restructuring of the design and operation of future energy systems. Sophisticated component design methods, intelligent information and communication architectures, automation and control concepts, new and advanced markets, as well as proper standards are necessary in order to manage the higher complexity of such intelligent power systems that form smart grids. Due to the considerably higher complexity of such cyber-physical energy systems, constituting the power system, automation, protection, information and communication technology (ICT), and system services, it is expected that the design and validation of smart-grid configurations will play a major role in future technology and system developments. However, an integrated approach for the design and evaluation of smart-grid configurations incorporating these diverse constituent parts remains evasive. The currently available validation approaches focus mainly on component-oriented methods. In order to guarantee a sustainable, affordable, and secure supply of electricity through the transition to a future smart grid with considerably higher complexity and innovation, new design, validation, and testing methods appropriate for cyber-physical systems are required. Therefore, this book summarizes recent research results and developments related to the design and validation of smart grid systems.

web of cells --- IHE --- distribution grid --- accuracy --- use cases --- Development --- synchrophasors --- underground cabling --- solar photovoltaics (PV) --- laboratory testbed --- conceptual structuration --- Quasi-Dynamic Power-Hardware-in-the-Loop --- coupling method --- time synchronization --- smart energy systems --- substation automation system (SAS) --- testing --- investment --- time delay --- interface algorithm (IA) --- PHIL (power hardware in the loop) --- network outage --- operational range of PHIL --- wind power --- elastic demand bids --- Model-Based Software Engineering --- Enterprise Architecture Management --- plug-in electric vehicle --- Smart Grid Architecture Model --- linear/switching amplifier --- pricing scheme --- average consensus --- traffic reduction technique --- cell --- gazelle --- smart grids control strategies --- real-time simulation and hardware-in-the-loop experiments --- 4G Long Term Evolution—LTE --- power loss allocation --- cyber-physical energy system --- experimentation --- microgrid --- resilience --- integration profiles --- remuneration scheme --- renewable energy sources --- shiftable loads --- droop control --- Power-Hardware-in-the-Loop --- peer-to-peer --- validation techniques for innovative smart grid solutions --- frequency containment control (FCC) --- synchronous power system --- power frequency characteristic --- development and implementation methods for smart grid technologies --- cascading procurement --- IEC 62559 --- device-to-device communication --- DC link --- validation and testing --- information and communication technology --- TOGAF --- battery energy storage system (BESS) --- active distribution network --- stability --- Validation --- synchronized measurements --- Architecture --- locational marginal prices --- SGAM --- network reconfiguration --- interoperability --- seamless communications --- fault management --- real-time simulation --- System-of-Systems --- market design elements --- micro combined heat and power (micro-CHP) --- co-simulation-based assessment methods --- islanded operation --- connectathon --- Software-in-the-Loop --- voltage control --- electricity distribution --- distribution phasor measurement units --- centralised control --- data mining --- robust optimization --- modelling and simulation of smart grid systems --- hardware-in-the-Loop --- smart grids --- cyber physical co-simulation --- design --- decentralised energy system --- procurement scheme --- Smart Grid --- smart grid --- distributed control --- fuzzy logic --- Power Hardware-in-the-Loop (PHIL) --- simulation initialization --- multi-agent system --- adaptive control --- real-time balancing market --- co-simulation --- optimal reserve allocation --- Web-of-Cells --- Hardware-in-the-Loop --- micro-synchrophasors --- linear decision rules --- synchronization --- hardware-in-the-loop --- PMU --- high-availability seamless redundancy (HSR) --- market design --- demand response