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The Special Issue Distributed Energy Resources Management 2018 includes 13 papers, and is a continuation of the Special Issue Distributed Energy Resources Management. The success of the previous edition shows the unquestionable relevance of distributed energy resources in the operation of power and energy systems at both the distribution level and at the wider power system level. Improving the management of distributed energy resources makes it possible to accommodate the higher penetration of intermittent distributed generation and electric vehicle charging. Demand response programs, namely the ones with a distributed nature, allow the consumers to contribute to the increased system efficiency while receiving benefits. This book addresses the management of distributed energy resources, with a focus on methods and techniques to achieve an optimized operation, in order to aggregate the resources namely in the scope of virtual power players and other types of aggregators, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as an enabler for their increased and efficient use.
n/a --- virtual power plant --- bidding strategy --- local flexibility market --- multi-period optimal power flow --- flexibility service --- occupant comfort --- unbalanced networks --- decentralized energy management system --- autonomous control --- optimization --- energy storage --- microgrids --- energy efficiency --- distributed energy --- control system --- DSM --- optimal scheduling --- adaptability --- synergistic optimization strategy --- teaching-learning --- distributed generation --- energy storage system --- stackelberg dynamic game --- IoT (Internet of Things) --- supply and demand --- comprehensive benefits --- distributed generator --- frequency bus-signaling --- active distribution networks --- swarm intelligence --- wind --- multi-agent technology --- solar --- power system management --- fault-tolerant control --- indoor environment quality --- multi-temporal optimal power flow --- multi-agent synergetic estimation --- smart grids --- local energy trading --- active power control --- prosumer --- microgrid --- trade agreements --- healthy building --- smart grid --- nonlinear control --- algorithm design and analysis --- batteries --- droop control --- distributed energy resources --- aggregator --- multi-agent system --- frequency control --- particle swarm optimization --- distribution system operator --- building climate control --- low voltage networks --- demand Response --- clustering --- distributed coordination --- demand-side management --- demand response
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This book focuses on the recent development of forecasting and risk management techniques for electricity markets. In addition, we discuss research on new trading platforms and environments using blockchain-based peer-to-peer (P2P) markets and computer agents. The book consists of two parts. The first part is entitled “Forecasting and Risk Management Techniques” and contains five chapters related to weather and electricity derivatives, and load and price forecasting for supporting electricity trading. The second part is entitled “Peer-to-Peer (P2P) Electricity Trading System and Strategy” and contains the following five chapters related to the feasibility and enhancement of P2P energy trading from various aspects.
Technology: general issues --- History of engineering & technology --- electricity markets --- non-parametric regression --- minimum variance hedge --- spline basis functions --- cyclic cubic spline --- weather derivatives --- n/a --- distributed energy resources (DER) --- P2P energy trading --- cooperative mechanism --- renewable energy --- multi agent system --- blockchain --- cashflow management of electricity businesses --- electricity derivatives and forwards --- retailers and power producers --- solar power and thermal energy --- optimal hedging using nonparametric techniques --- empirical simulations --- peer-to-peer energy trading --- distributed energy resources --- microgrid --- digital grid --- bidding strategy --- electricity price --- electricity load --- electricity price forecasting --- wind energy --- day-ahead market --- intra-day market --- balancing power market --- peer to peer energy market --- hardware control --- demonstration experiment --- home energy management systems --- electric vehicles --- bidding agent --- electric vehicle --- functional autoregressive model --- functional principle component analysis --- vector autoregressive model --- functional final prediction error (FFPE) --- naive method --- P2P electricity market --- market maker --- liquidity --- price fluctuation --- artificial market simulation
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The book provides assessments and evaluations of emerging trends in the electricity markets, with a focus on high-renewables electricity systems. Specifically, various issues are examined, such as wind and solar energy, interconnection, smart meters, smart grids of the future (including their social implications), and peer-to-peer (P2P) electricity trading, which is closely connected to the principle of a sharing economy. The book also contemplates how the market design for a high-renewables electricity system would be different from the classical post-liberalization market design.
Research & information: general --- renewable energy --- sustainable development --- gross domestic product --- GDP --- electrical capacity --- energy intensity --- hierarchical cluster analysis --- energy policy --- wholesale market design --- Electricity markets --- power system --- conceptual architecture --- distributed generation --- flexible resources --- local electricity markets --- electricity market design --- direct current --- distribution system --- local market --- flexibility --- microgrids --- continuous double auction --- Q-learning algorithm --- battery energy storage system, Q-cube framework --- bidding strategy --- emissions trading --- electricity price --- econometric modeling --- time series analysis --- emission allowance --- electricity market --- speculative trading --- forward market --- integration of renewable sources --- integrated markets --- co-optimization --- reserve allocation --- biofuels --- electricity generation --- power sector --- biomass --- Jatropha curcas --- system integration --- power industry --- state policy --- smart metering --- tariff rates --- system marginal price --- renewable energy sources --- photovoltaics --- day ahead market --- merit order curve --- electricity demand --- seasonal and daily variation --- RES (renewable energy sources) surcharge --- energy market --- artificial intelligence --- digital platform --- peer-to-peer --- trading mechanism --- clearing model --- clearing algorithm --- trading platform --- sustainability --- Internet of Energy --- smart meters --- smart grid --- husk --- energy supply --- efficiency --- carbon dioxide --- emissions --- energy efficiency --- economic growth --- energy consumption --- Czech Republic --- Slovakia --- renewable energy --- sustainable development --- gross domestic product --- GDP --- electrical capacity --- energy intensity --- hierarchical cluster analysis --- energy policy --- wholesale market design --- Electricity markets --- power system --- conceptual architecture --- distributed generation --- flexible resources --- local electricity markets --- electricity market design --- direct current --- distribution system --- local market --- flexibility --- microgrids --- continuous double auction --- Q-learning algorithm --- battery energy storage system, Q-cube framework --- bidding strategy --- emissions trading --- electricity price --- econometric modeling --- time series analysis --- emission allowance --- electricity market --- speculative trading --- forward market --- integration of renewable sources --- integrated markets --- co-optimization --- reserve allocation --- biofuels --- electricity generation --- power sector --- biomass --- Jatropha curcas --- system integration --- power industry --- state policy --- smart metering --- tariff rates --- system marginal price --- renewable energy sources --- photovoltaics --- day ahead market --- merit order curve --- electricity demand --- seasonal and daily variation --- RES (renewable energy sources) surcharge --- energy market --- artificial intelligence --- digital platform --- peer-to-peer --- trading mechanism --- clearing model --- clearing algorithm --- trading platform --- sustainability --- Internet of Energy --- smart meters --- smart grid --- husk --- energy supply --- efficiency --- carbon dioxide --- emissions --- energy efficiency --- economic growth --- energy consumption --- Czech Republic --- Slovakia
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The book provides assessments and evaluations of emerging trends in the electricity markets, with a focus on high-renewables electricity systems. Specifically, various issues are examined, such as wind and solar energy, interconnection, smart meters, smart grids of the future (including their social implications), and peer-to-peer (P2P) electricity trading, which is closely connected to the principle of a sharing economy. The book also contemplates how the market design for a high-renewables electricity system would be different from the classical post-liberalization market design.
Research & information: general --- renewable energy --- sustainable development --- gross domestic product --- GDP --- electrical capacity --- energy intensity --- hierarchical cluster analysis --- energy policy --- wholesale market design --- Electricity markets --- power system --- conceptual architecture --- distributed generation --- flexible resources --- local electricity markets --- electricity market design --- direct current --- distribution system --- local market --- flexibility --- microgrids --- continuous double auction --- Q-learning algorithm --- battery energy storage system, Q-cube framework --- bidding strategy --- emissions trading --- electricity price --- econometric modeling --- time series analysis --- emission allowance --- electricity market --- speculative trading --- forward market --- integration of renewable sources --- integrated markets --- co-optimization --- reserve allocation --- biofuels --- electricity generation --- power sector --- biomass --- Jatropha curcas --- system integration --- power industry --- state policy --- smart metering --- tariff rates --- system marginal price --- renewable energy sources --- photovoltaics --- day ahead market --- merit order curve --- electricity demand --- seasonal and daily variation --- RES (renewable energy sources) surcharge --- energy market --- artificial intelligence --- digital platform --- peer-to-peer --- trading mechanism --- clearing model --- clearing algorithm --- trading platform --- sustainability --- Internet of Energy --- smart meters --- smart grid --- husk --- energy supply --- efficiency --- carbon dioxide --- emissions --- energy efficiency --- economic growth --- energy consumption --- Czech Republic --- Slovakia
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The book provides assessments and evaluations of emerging trends in the electricity markets, with a focus on high-renewables electricity systems. Specifically, various issues are examined, such as wind and solar energy, interconnection, smart meters, smart grids of the future (including their social implications), and peer-to-peer (P2P) electricity trading, which is closely connected to the principle of a sharing economy. The book also contemplates how the market design for a high-renewables electricity system would be different from the classical post-liberalization market design.
renewable energy --- sustainable development --- gross domestic product --- GDP --- electrical capacity --- energy intensity --- hierarchical cluster analysis --- energy policy --- wholesale market design --- Electricity markets --- power system --- conceptual architecture --- distributed generation --- flexible resources --- local electricity markets --- electricity market design --- direct current --- distribution system --- local market --- flexibility --- microgrids --- continuous double auction --- Q-learning algorithm --- battery energy storage system, Q-cube framework --- bidding strategy --- emissions trading --- electricity price --- econometric modeling --- time series analysis --- emission allowance --- electricity market --- speculative trading --- forward market --- integration of renewable sources --- integrated markets --- co-optimization --- reserve allocation --- biofuels --- electricity generation --- power sector --- biomass --- Jatropha curcas --- system integration --- power industry --- state policy --- smart metering --- tariff rates --- system marginal price --- renewable energy sources --- photovoltaics --- day ahead market --- merit order curve --- electricity demand --- seasonal and daily variation --- RES (renewable energy sources) surcharge --- energy market --- artificial intelligence --- digital platform --- peer-to-peer --- trading mechanism --- clearing model --- clearing algorithm --- trading platform --- sustainability --- Internet of Energy --- smart meters --- smart grid --- husk --- energy supply --- efficiency --- carbon dioxide --- emissions --- energy efficiency --- economic growth --- energy consumption --- Czech Republic --- Slovakia
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