Day-ahead generation schedule optimization method considering thermal power and electric thermal storage combined peaking

Abstract

The invention belongs to the technical field of dispatching automation of an electric power system, and relates to a day-ahead generation schedule optimization method considering thermal power and electric thermal storage combined peaking. Based on day-ahead generation schedule planning input data, on the basis of a conventional optimization model, relevant parameters of thermal power generating unit deep peaking and electric thermal storage energy storage peaking are maintained, relevant constraint conditions of thermal power generating unit deep peaking and electric thermal storage energy storage peaking are introduced, and a day-ahead generation schedule optimization model, namely an SCED model, considering thermal power and electric thermal storage combined peaking is formed; through the optimization model, the future operation condition of a power grid can be combined, a more reliable and effective thermal power and electric thermal storage energy storage active plan is programmedunder the condition that system new energy consumption capacity and system load peaking requirement are sufficiently evaluated, the unit planning implementation rate is improved, the system peaking pressure is alleviated, the maximum consumption of new energy is realized, and the increasingly refined large power grid safety operation requirement is met.

Description

technical field [0001] The invention belongs to the technical field of electric power system scheduling automation, and relates to a method for optimizing a day-ahead power generation plan considering thermal power, electric heat storage, and peak regulation. Background technique [0002] With the vigorous promotion of new energy construction in the country, due to the abundant wind energy resources in Liaoning, the installed capacity of wind power in Liaoning has increased rapidly. As of the end of October 2016, the installed capacity of power generation in Liaoning Province was 45.7874 million kilowatts, of which: hydropower 2.9311 million kilowatts, accounting for 6.40% ; 31.1399 million kilowatts of thermal power (including 20.77 million kilowatts of heating units), accounting for 68.01%; 4.4752 million kilowatts of nuclear power, accounting for 9.77%; 6.8014 million kilowatts of wind power, accounting for 14.85%; As of the end of October 2016, the installed capacity of ...

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Problems solved by technology

[0006] The purpose of the present invention is to solve the peak-shaving problems brought about by the irrational structure of the domestic power grid, excess thermal power installed capacity, and large-scale new energy access. The day-ahead power generation planning optimization method based on electric heat storage combined with peak regulation is based on the existing day-ahead power generation plan optimization model, taking into account the complex constraints of the thermal power-electric heat storage coupling relationship, and optimizing the thermal power unit according to the day-ahead system load and new energy forecasts The output plan and electric heat storage energy storage plan under the deep peak shaving state, cooperate with other energy sources to meet the power demand of the system, and realize the maximum acceptance of new energy and peak shaving requirements of the system

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