Economic Dispatch forms the important analysis functions dealing with Operation in an EMS. Economic Dispatch (ED) is defined as the process of allocating generation levels to the generating units in the mix, so that the system load is supplied entirely and most economically.
Economic dispatch is the short-term determination of the optimal output of a number of electricity generation facilities, to meet the system load, at the lowest possible cost, subject to transmission and operational constraints.
The constraints enforced during the power flow are, for the most part, the constraints that are enforced during any power flow solution. These include the bus power balance equations, the generator voltage set point constraints, and the reactive power limits on the generators.
The Optimal Power Flow module is an intelligent load flow that employs techniques to automatically adjust the power system control settings while simultaneously solving the load flows and optimizing operating conditions within specific constraints.
Is this
Not sure if you have expressed and understood the 'optimisation problem' appropriately. What did you mean by '... optimisation using AI'? There are many classic approaches to optimisation problems out there for ages, for example, gradient-descent based optimisation algorithms.
You would need to formalise your optimisation problem in the form of an 'objective function' in an explicit way - say, what you'd like to optimise either minimise or maximise and which affecting factors involved.
Under supervision of Dr Vikram Kumar Kamboj, optimization of load despatch problem on power system was done using flame moth anlaysis. I want opinion regarding analysis of the green electricity generating power plant optimization using artificial network like flame moth, nueral or
- Artificial Narrow Intelligence ( ANI )
- Artificial General Intelligence ( AGI )
- Artificial Super Intelligence ( ASI )
As @Daqing Chen said, you can use mathematical optimization algorithms whose details can be found in book by wollenberg to solve optimal power flow.
However, when the optimal power flow problem is formulated as a non convex function, meta-heuristic optimization algorithms as you outlined can be used.
However, there's no single meta-heuristic optimization algorithm which is better than the rest. You can use algorithms which you've outlined and compare the results and choose the best performing algorithm
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