基于IGDT理论的电动汽车负荷聚合商需求侧放电投标决策模型

IGDT-based Demand Side Discharge Bidding Decision Strategy for Electric Vehicle Load Aggregator

针对现货市场电价的不确定性对电动汽车负荷聚合商的影响,首先通过蒙特卡罗模拟得到负荷聚合商管理区域内次日可参与电力市场的投标电量,再利用信息间隙决策理论量化出清电价与预测电价之间的偏差,并以电动汽车负荷聚合商利益最大化为目标构建需求侧放电投标模型。算例分析表明所提出的投标决策方法在经济性,灵活性等方面具有有效性,同时提高了电动汽车车主参与电力市场竞价的积极性。

In allusion to the serious affect of uncertainty of electricity price in the spot market on electric vehicle load aggregator, firstly by use of Monte Carlo simulation the bidding electric quantity in the management area of the load aggregator who could participate in electricity market next day, was obtained. Secondly, utilizing information gap decision theory(IGDT) the deviation between the market cleaning price and the forecasted price was quantized, and then taking the profit maximization of electric vehicle load aggregator as the objective a demand side discharging bidding model was constructed. Analysis on calculating example shows that the proposed bidding decision method possesses availability in economy and flexibility and so on;meanwhile the enthusiasm of electric vehicle owners to take part in the electricity market bidding will be improved.