A Chance Constrained Programming Based Solar-storage System Tracking Day-Ahead Planning and Scheduling Method

Abstract

The invention provides a light-preserved system tracking day-ahead plan scheduling method based on chance constrained programming. The method comprises the following steps that (1) the relevant data of a photovoltaic power station and an energy storage system are read; (2) day-ahead actual photovoltaic power generation power is simulated via a monte carlo technique and range of photovoltaic planed output upper and lower limit is set; (3) a chance constrained programming mathematical model including a control coefficient is established based on a short-term photovoltaic prediction power value and a random prediction deviation value; and (4) charge and discharge power of the energy storage system is determined by adopting an improved self-adaptive particle swarm algorithm. Polling of each forecast point is performed one day in advance, and an effect that light-preserved tracking planed output is in the range of the planed upper and lower limit is realized by adopting the improved self-adaptive particle swarm algorithm; besides, tracking control is enabled to be more flexible by adjustment of the control coefficient in a target function, and charge and discharge power and the state of charge of the energy storage system are basically maintained within an appropriate range so that charge and discharge capability is enhanced and the requirement for energy storage is reduced.

Description

technical field [0001] The present invention relates to a day-ahead planning scheduling method, in particular to a day-ahead planning scheduling method for optical storage system tracking based on chance constraint programming. Background technique [0002] Solar energy has been recognized as one of the most competitive energy sources in the future, with the characteristics of abundant resources, green and environmental protection. According to the forecast of the International Energy Agency (IEA), solar photovoltaic power generation will account for 20% to 25% of global power generation by 2050, becoming one of the basic energy sources. However, photovoltaic power generation is an intermittent energy source. Its output power is uncertain due to the influence of solar radiation intensity and ambient temperature. When connected to the grid, it usually has adverse effects on power quality, power supply reliability and stability, and grid efficiency. By predicting the output o...

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Problems solved by technology

There is also a technology that proposes a control strategy based on ultra-short-term wind forecast power to track the plan. Although this method can realize real-time tracking through rolling change control coefficients, it only considers the ultra-short-term situation and the range of wind power, and does not contribute to the short-term situation and photovoltaic tracking plan. do analysis

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