Strong uncertainty in generation and load

multi-level market rules

and complex business processes have significantly increased the difficulty of dispatch and control

urgently necessitating the development of new technologies

methods

and rules. However

direct experimental validation of these innovations in actual power grids faces severe challenges

including limited trial-and-error space

prolonged practical implementation cycles

and difficulties in reproducing extreme scenarios—particularly in effectively identifying and predicting hidden risks of dispatch technologies and rules under extreme or rare scenarios. By implementing full-process deduction of dispatch and control operations based on digital twin and cyber-physical-social system (CPSS) concepts

new dispatch technologies

methods

software

and rules can be verified and predicted in advance

offering an effective solution to the above problems. This paper analyzes the requirements for dispatch and control operation deduction under new conditions

designs a novel power system dispatch and control operation deduction system and its development stages based on "big data assets" and “full-process simulation

” proposes key technologies for power grid dispatch and control operation deduction from three aspects—data

samples

and simulation—and develops a digital deduction service platform for power grid dispatch and control. Furthermore

it constructs a real-time closed-loop feedback link of “physical-information-social” interactions. The proposed approach has been validated through engineering applications in automatic generation control (AGC) software testing. Overall

a full-process deduction environment for dispatch and control operations has been established

providing support for deduction and validation scenarios such as Quality management of dispatch software

AI training for dispatch systems

data value mining in dispatch operations

closed-loop simulation of dispatch and electricity markets

and verification of new dispatch technologies.