Medium and long term electric quantity safety checking method, device and system based on SCUC

Abstract

The invention discloses a medium and long term electric quantity safety checking method, device and system based on SCUC, and the method comprises the steps of obtaining various optimization data, anddetermining an optimization space for the medium and long term electric quantity safety checking; establishing a safety constraint unit combination model according to actual operation conditions of the power grid; using a power plant within the research range as an electric quantity checking object, establishing the electric quantity balance constraint of the power plant, setting the optimizationtarget to minimize the deviation between the power generation amount of the power plant and the planned electric quantity, and obtaining an optimization model for medium-and-long-term electric quantity safety checking; solving and obtaining the unit start-stop state, the active power output, the branch power flow and the electric quantity deviation of the power plant in each time period, obtaining a medium-and-long-term electric quantity safety check conclusion, and obtaining a blocking section power flow result influencing the execution of the electric quantity plan. The method is helpful for quantitatively analyzing safety risks possibly caused by the medium-and-long-term electric quantity plan to power grid operation and improving the medium-and-long-term scheduling analysis decision level of the power grid.

Description

technical field [0001] The invention belongs to the technical field of electric power system scheduling automation, and in particular relates to a method, device and system for mid- and long-term power safety checking based on SCUC. Background technique [0002] Medium and long-term electricity trading mainly refers to the yearly and monthly electricity trading carried out by market entities such as power generation companies, electricity sales companies, and power users who meet the access conditions through independent negotiation, centralized bidding, listing transactions, and other market-oriented methods. With the continuous advancement of my country's electricity market reform, medium and long-term trading varieties have gradually increased, the proportion of transaction electricity has gradually increased, and market transaction electricity has gradually replaced annual planned electricity, forming a pattern of coexistence of planned electricity and market electricity....

AI Technical Summary

Problems solved by technology

The expansion of power trading scale poses new challenges to the safe operation of the power grid, which are manifested in the following aspects: ①The greater the rigid execution requirements for medium and long-term power, the smaller the power space that can be used for balance and adjustment in power grid dispatching, which may lead to The consumption of clean energy cannot be guaranteed, and it may even lead to the inability to meet the requirements of the minimum start-up mode of the power grid, which affects the safe operation of the power grid; Risk; ③ There are uncertainties in the operation of the medium and long-term power grid, the medium- and long-term power contracts may not be actually implemented, and there is a risk of default in dispatching

[0004] At present, medium and long-term power safety checks are mainly based on manual experience, without detailed power and power flow analysis, and it is difficult to consider the impact of power planning on section power flow

The verification method based on manual experience makes it difficult to analyze whether various medium and long-term power contracts can be reasonably and safely allocated to each day and hour

With the continuous expansion of the scale of the power grid, the structure and operation mode of the power grid are becoming more and more complex, and various constraints of the power grid are continuously strengthened. The traditional relatively extensive mid- and long-term electricity verification methods can no longer meet the requirements. The mid- and long-term safety verification should be done by Empirical verification is transformed into vectorized verification to improve the accuracy and standardization of verification

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