Decision method for rolling optimization of wind and light storage cooperative scheduling

A collaborative scheduling and rolling optimization technology, applied in electric vehicles, electric vehicle charging technology, forecasting, etc., can solve problems such as low anti-peak shaving characteristics, increased peak shaving pressure of thermal power units, and constraints

CN102509176BActive Publication Date: 2015-06-17STATE GRID CORP OF CHINA +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2015-06-17

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Abstract

The invention discloses a decision method for rolling optimization of wind and light storage cooperative scheduling. The decision method comprises the following implementation steps of: acquiring day-ahead prediction values of load, wind power of wind power farms and output power of photovoltaic power stations and data such as charging demand of each electric automobile recharging station; arranging a day-ahead plan of a next-day charging plan of each electric automobile recharging station, wherein the plan can meet energy demands of electric automobiles of each electric automobile recharging station and reduce the peak valley difference rate of equivalent load curves, so that the peak pitching pressure of the conventional machine sets is reduced, and the energy access level of renewable energy is improved; and continuously modifying the rolling of the charging plan of each electric automobile recharging station in rest time period of a current day in real time through the updated predication data acquired every hour such as the load, the wind power of the wind power farms and the output power of the photovoltaic power stations of the rest time period of the current day in the operation of the current day, so that the problem that an actual equivalent load curve smoothing effect of the current day is weakened by the charging plan of each electric automobile recharging station due to prediction errors is solved as possible.
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Description

technical field

[0001] The invention relates to a rolling optimization decision-making method for wind-solar-storage-storage coordinated scheduling. Background technique

[0002] The technological development of renewable energy power generation methods such as wind power and photovoltaic power generation has gradually matured, and their proportions in power generation capacity have increased year by year. However, energy sources such as wind energy and solar energy have the characteristics of randomness and intermittency, especially wind power generation has the characteristics of more power generation at night and lower anti-peaking characteristics during the day, which makes the equivalent load in the system composed of load, wind power, and photovoltaic power Compared with the peak-to-valley difference of the original load curve, the peak-to-valley difference rate of the curve has increased significantly, and the peak-shaving pressure faced by thermal power units in the ...

Examples

Embodiment Construction

[0042] The present invention will be further described below in conjunction with drawings and embodiments.

[0043] Such as figure 1As shown, a rolling optimization decision-making method for wind-solar-storage coordinated scheduling includes the following steps:

[0044] A. Day-ahead forecast data acquisition and day-ahead planning:

[0045] 1) Day-ahead forecast data acquisition

[0046] From the forecasting system of the regional power grid dispatching center, the forecast value of each load demand of the next day, the wind power of each wind farm and the output power of each photovoltaic power station in each time period is obtained. From this, the equivalent load curve composed of load, wind power of wind farm and output power of photovoltaic power station is obtained, see Table 1 for details. Obtain the maximum and minimum charging power values ​​of each electric vehicle charging station at each time period of the next day, the energy demand of electric vehicles, the ...