OF THE INVENTION The invention discloses a multi-objective stochastic programming approach of EV charging load based on non-dominated sorting genetic algorithm. In combination with the requirements of the best operation of the distribution system and in consideration of the influence of multiple random factors, it establishes a new multi-objective stochastic optimization model of the distribution network based on EV charging load, which utilizes the improved non-dominated sorting genetic algorithm- II (non-dominated sorting genetic algorithm-2, NSGA-2) to solve, takes fully charged EV battery, charging power within limit and distribution network tide constraints as constraint conditions and takes distribution network loss, power node peak load and load fluctuation optimization as sub-goals to achieve multi-objective stochastic programming of EV charging load.
A multi-objective stochastic programming method of electric vehicle charging load based on non-dominated sorting genetic algorithm
2016-04-28
Patent
Elektronische Ressource
Englisch
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / H02J CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER , Schaltungsanordnungen oder Systeme für die Abgabe oder Verteilung elektrischer Leistung |
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