The invention discloses a building energy optimization scheduling method considering the charging load uncertainty of an electric vehicle. Comprising the following steps: establishing an electric vehicle charging load day-ahead prediction model; the charging load uncertainty is quantified on the basis of the charging load prediction model; and establishing a building energy optimization scheduling model considering the charging load uncertainty. The strategy considering the uncertainty of the charging load of the electric vehicle provided by the invention has higher adaptability to various load conditions possibly occurring in the next day, so that the robustness of the scheduling strategy can be improved; and meanwhile, the air conditioning load and the charging load are jointly optimized and dispatched, so that complementarity in the dispatching time period is realized, the load variance is further optimized, and the operation of the building energy system is more stable.
本发明公开一种考虑电动汽车充电负荷不确定性的建筑能源优化调度方法。包括以下步骤:建立电动汽车充电负荷日前预测模型;在充电负荷预测模型的基础上对充电负荷不确定性进行量化;建立考虑充电负荷不确定性的建筑能源优化调度模型。本发明提出的考虑电动汽车充电负荷不确定性的策略对次日可能出现多种负荷情况的适应程度更高,从而能够提高调度策略的鲁棒性;同时空调负荷和充电负荷联合优化调度实现了在调度时间段上的互补性,进一步优化了负荷方差,使建筑能源系统的运行更加稳定。
Building energy optimization scheduling method considering uncertainty of charging load of electric vehicle
考虑电动汽车充电负荷不确定性的建筑能源优化调度方法
2022-04-05
Patent
Electronic Resource
Chinese
IPC: | H02J CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER , Schaltungsanordnungen oder Systeme für die Abgabe oder Verteilung elektrischer Leistung / 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 |
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