Two-stage source load storage optimization scheduling method for wind power consumption

Abstract

The invention relates to a two-stage source load storage optimization scheduling method for wind power consumption. The method comprises the steps: correcting day-ahead scheduling through intra-day scheduling for the uncertainty of wind power output; dividing load side responses, and carrying out enthusiasm of the load responses through price measures; establishing an electric and thermal load time-sharing response model, an excitation type load response model and a heating load model, and respectively calling in day-ahead and intra-day time periods; establishing source load storage optimal scheduling models under different conditions, wherein day-ahead scheduling takes minimum economic cost as a target, and intra-day scheduling takes minimum wind curtailment as a target to perform optimalscheduling; and finally, solving the optimization scheduling model by using an optimization particle swarm algorithm to prevent the algorithm from falling into global optimum or local optimum. According to the method, the source load storage side resources can be fully called to flexibly cope with the wind power output, the wind power is fully consumed, the model is conveniently, rapidly and accurately solved, and a flexible and economic source load storage optimal scheduling result for wind power consumption is obtained.

Description

technical field [0001] The invention relates to the technical field of economic dispatching of a combined electric heating system, in particular to a two-stage source-load-storage optimal dispatching method for wind power consumption. Background technique [0002] With the rapid growth of my country's wind power installed capacity, the proportion of wind power in the total power generation of the system is gradually increasing, but at present, the problem of wind power curtailment is prominent. In the winter heating season, a large number of combined heat and power units (CHP) work in the mode of "heat-based power generation" To meet the heat load demand, its adjustment ability is limited, which restricts the consumption of wind power. At the same time, the randomness, uncertainty and intermittency of its output lead to further expansion of the power fluctuation of the system, and the adjustment ability of conventional power supply is difficult to effectively deal with. It has...

AI Technical Summary

Problems solved by technology

[0002] With the rapid growth of my country's wind power installed capacity, the proportion of wind power in the total power generation of the system is gradually increasing, but at present, the problem of wind power curtailment is prominent. In the winter heating season, a large number of combined heat and power units (CHP) work in the mode of "heat-based power generation" To meet the heat load demand, its adjustment ability is limited, which restricts the consumption of wind power. At the same time, the randomness, uncertainty and intermittency of its output lead to further expansion of the power fluctuation of the system, and the adjustment ability of conventional power supply is difficult to effectively deal with. It has brought new challenges to the traditional dispatching operation mode of the power grid. The uncertainty of wind power forecasting has had a great impact on the formulation and implementation of dispatching plans, and the forecast error is positively correlated with the forecast time span. The dispa

Images