基于事件的光伏储能微网经济运行优化
[Abstract]:In this paper, the photovoltaic energy storage microgrid composed of photovoltaic cell array, battery pack, converter (including grid-connected inverter, bidirectional inverter) and load is studied, and it is allowed to purchase and sell electricity with the power grid. In order to optimize the economic operation of photovoltaic energy storage microgrid, considering the randomness of photovoltaic output power, power load and electricity price, this paper proposes an event-driven rolling optimal scheduling method, which is studied from the following aspects: first, Based on the operation characteristics of photovoltaic energy storage microgrid, the power events of microgrid are proposed and the mathematical description of the event is given. The events include photovoltaic output power change event, power load change event and electricity price change event. Secondly, the scheduling cycle is divided into several scrolling windows based on events, and the length of each scrolling window may be different. In the rolling time domain optimization framework, in order to minimize the operating cost of the system, the operating cost includes the operation and maintenance cost of photovoltaic cell array and battery. The penalty cost of battery life loss and the cost of purchasing electricity from the power grid and the revenue from the sale of electricity to the power grid, taking into account the power balance of the system, the charge and discharge power of the battery and the limit value of the charge state, The interactive power limit of power grid and the update of battery charge state are constrained, and the nonlinear components in the constraint conditions are linearized, and the event-based rolling optimization model of microgrid is established. The model is a mixed integer linear programming model. When an event occurs, the rescheduling is carried out and the scheduling scheme is readjusted, otherwise the rescheduling scheme is not carried out and executed according to the original scheduling scheme. Finally, according to the characteristics of event-based microgrid rolling optimization model, GAMS/CPLEX is used to solve the model. The photovoltaic output power, power load and electricity price data are used to analyze the examples. In five different scenarios, the optimization results are compared with those of global optimization at equal time intervals. The results verify the effectiveness of the event-based rolling optimization method proposed in this paper.
【学位授予单位】:山东大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM727
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