Search results for "distributed energy resource"

showing 6 items of 6 documents

Power Grid Integration and Use-Case Study of Acid-Base Flow Battery Technology

2021

There are many different types of energy storage systems (ESS) available and the functionality that they can provide is extensive. However, each of these solutions come with their own set of drawbacks. The acid-base flow battery (ABFB) technology aims to provide a route to a cheap, clean and safe ESS by means of providing a new kind of energy storage technology based on reversible dissociation of water via bipolar electrodialysis. First, the main characteristics of the ABFB technology are described briefly to highlight its main advantages and drawbacks and define the most-competitive use-case scenarios in which the technology could be applied, as well as analyze the particular characteristi…

Battery (electricity)distributed energy resourcepower grid integrationProcess (engineering)Computer science020209 energyInterface (computing)Energy storage systempower flow batteriesGeography Planning and Developmentpower convertersTJ807-83002 engineering and technologyManagement Monitoring Policy and LawTD194-1957. Clean energyEnergy storageRenewable energy sourceslaw.inventionacid-base flow batterydistributed energy resourcesSet (abstract data type)law0202 electrical engineering electronic engineering information engineeringpower converterGE1-350Environmental effects of industries and plantsRenewable Energy Sustainability and the Environmentpower flow batterie021001 nanoscience & nanotechnologyFlow batteryPower (physics)Reliability engineeringEnvironmental sciencesElectrical networkenergy storage systems0210 nano-technologySustainability
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An execution, monitoring and replanning approach for optimal energy management in microgrids

2011

abstract This work develops a new approach for optimal energy management of electrical distribution ‘smart-grids’. Optimality aims at improving sustainability through the minimization of carbon emissions and atreducing production costs and maximizing quality. Input data are the forecasted loads and productionsfrom renewable generation units, output data are a set of control actions for the actuators. Theconsidered electrical distribution system includes storage units that must be considered over a 24 h timeinterval, to consider an entire charge and discharge cycle. The objectives for the optimal management ofdistributed (renewables and not) generation are technical, economical and environme…

EngineeringOptimization problemEnergy managementbusiness.industryMechanical EngineeringControl (management)Distributed energy resources management Multi-objective evolutionary optimization MicrogridsBuilding and ConstructionInterval (mathematics)PollutionIndustrial and Manufacturing EngineeringScheduling (computing)Reliability engineeringSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaGeneral EnergyProduction (economics)MinificationElectrical and Electronic EngineeringInterruptbusinessSimulationCivil and Structural Engineering
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A NEW REPRESENTATION OF ENERGY STORAGE SYSTEMS OPERATION USING FOURIER THEORY IN OPTIMAL SMART GRIDS MANAGEMENT

2012

This paper investigates the possibility to use a new modeling of Energy Storage Systems based on zero integral functions. Such functions represent the course of the energy level stored in batteries during the solution of optimal management problems in smart-grids. Storage devices, such as all the other components that are required to meet an integral capacity constraint along the dispatch time, must show the same State of Charge at the start and at the end of the timeframe considered for operation. In this paper, a set of sinusoidal functions have been used for the synthesis of the charge and discharge course of energy Storage Systems. Such representation allows to eliminate the difficult c…

Mathematical optimizationEngineeringbusiness.industryEnergy storageEvolutionary computationConstraint (information theory)integral constraints optimal management distributed energy resources multi-objective evolutionary optimization smart grids.Settore ING-IND/33 - Sistemi Elettrici Per L'Energiasymbols.namesakeSmart gridState of chargeFourier analysissymbolsbusinessRepresentation (mathematics)Energy (signal processing)
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EU transition in power sector: How RES affects the design and operations of transmission power systems

2019

In the past, much of Europe's electricity grid network has been designed in consideration of the locations of conventional generation plants. However, a large share of today's renewables production – notably variable wind and solar – does not correspond to this grid architecture. Interconnectors, in addition to internal infrastructure, are key to creating new electricity corridors to connect areas of surplus to areas of scarcity. In this context, in 2014 the European Council, in recognizing that a fundamental role of transmission infrastructure is to enable the integration of areas of high renewable energy potential with main consumption areas, endorsed the proposal by the European Commissi…

Photovoltaic (PV)Ancillary serviceInternal Electricity Market (IEM)Energy Engineering and Power TechnologyAggregatorElectrical Energy Storage (ESS)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaElectric Vehicle (EV)Demand-Side Management (DSM)Energy efficiencyDistributed Energy Resource (DER)Demand Response (DR)Electrical and Electronic EngineeringVariable Renewable Energy Source (VRES)Regional Security Coordinator (RSC)
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Multi-modal search for multiobjective optimization: an application to optimal smart grids management

2012

This paper studies the possibility to use efficient multimodal optimizers for multi-objective optimization. In this paper, the application area considered for such new approach is the optimal dispatch of energy sources in smart microgrids. The problem indeed shows a non uniform Pareto front and requires efficient optimal search methods. The idea is to exploit the potential of agents in population-based heuristics to improve diversity in the Pareto front, where solutions show the same rank and are thus equally weighted. Since Pareto dominance is at the basis of the theory of multi-objective optimization, most algorithms show the non dominance ranking as quality indicator, with some problem i…

education.field_of_studyMathematical optimizationEngineeringbusiness.industryPopulationPareto principleEvolutionary algorithmmultimodal functions optimization optimal management distributed energy resources multi-objective evolutionary optimization smart gridsMulti-objective optimizationSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaRankingGenetic algorithmeducationEnergy sourcebusinessHeuristics
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Fuzzy logic controller and game theory based distributed energy resources allocation

2020

Energy management and demand control through conventional energy generation sources are challenging for energy providers. Distributed energy resources (DERs) allocation near load centers may provide a suitable solution. The main contribution of the paper improves the voltage profile and reduce the active and reactive power losses in the distribution network. DERs are integrated with IEEE 33 bus system using fuzzy logic controller (FLC) and game theory for two different cases with unity and 0.9 power factor (PF) and compares with conventional methods of integration (i.e., modified novel method, power loss sensitivity method, voltage sensitivity analysis method). The capacity of DERs is optim…

game theoryRenewable Energy Sustainability and the Environmentbusiness.industryComputer scienceEnergy managementEnergy Engineering and Power TechnologyPower factorAC powerCooperative game theoryfuzzy logic controllerdistributed energy resourceslcsh:Production of electric energy or power. Powerplants. Central stationsVDP::Teknologi: 500Fuel TechnologyElectricity generationControl theoryDistributed generationintelligent distribution networklcsh:TK1001-1841Sensitivity (control systems)businessGame theorycooperative game theory
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