6533b85bfe1ef96bd12bb468
RESEARCH PRODUCT
A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market
Ninh Nguyen QuangMaria Luisa Di SilvestreRoberto GalleaGaetano ZizzoEleonora Riva Sanseverinosubject
Mathematical optimizationEngineeringControl and OptimizationEnergy Engineering and Power TechnologyFuzzy logiclcsh:TechnologyScheduling (computing)jel:Q40EEconomic indicatorjel:Qjel:Q43heuristic repairjel:Q42jel:Q41jel:Q48ESSEnergy marketjel:Q47Real-time dataschedulingElectrical and Electronic EngineeringEngineering (miscellaneous)jel:Q49scheduling; ESS; fuzzy logic; heuristic repair; rolling horizonRenewable Energy Sustainability and the Environmentbusiness.industrylcsh:Tjel:Q0Fuzzy control systemrolling horizonjel:Q4Renewable energySettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaControl systemfuzzy logicbusinessEnergy (miscellaneous)description
In this paper, an original scheduling approach for optimal dispatch of electrical Energy Storage Systems (ESS) in modern distribution networks is proposed. The control system is based on fuzzy rules and does not use forecasts since it repairs the past history according to the real time data on the electrical energy cost, renewable energy production and load. When the system detects a worsening of performances, the fuzzy logic rule-based control system self-adapts its membership functions using an economic indicator. The common use, in the relevant literature, of forecasted values in such systems can lead to large errors and economic losses. Moreover the speed of calculation guaranteed by the fuzzy control system allows the execution of new calculations even with high frequency. After the Introduction section, where the state of the art on the topic is outlined, the problem formulation is presented and an interesting application of the considered approach to the control on a medium size battery with real world data is proposed.
year | journal | country | edition | language |
---|---|---|---|---|
2013-11-04 | Energies |