Dynamic Economic Dispatching of Power System Based on Reformed Harmony Search
A Reformed harmony search(RHS)algorithm was proposed to solve the Dynamic economic dispatch(DED)problem in power systems.RHS improves on the original harmonic search algorithm in four aspects:First,the harmonic memory step is performed with 100％probability,excluding the randomization step.Secondly,random numbers based on chaotic sequences are used to disturb the pitch adjustment rate so that it is always in a dynamic state during the whole iteration process.Third,the dynamic upper and lower limits of each variable are obtained according to the current harmonic memory bank to determine the pitch adjustment step size.Fourthly,a global search step is introduced,which updates the current harmonic vector according to the global optimal harmonic vector.The above four steps are conducive to improving the convergence,population diversity and self-adaptability of RHS algorithm.The experiment shows that RHS can obtain lower power generation cost than the other two algorithms when solving the 3 kinds of DED problems.Therefore,it has better optimization performance and is an effective method for solving DED problems.
harmonic searchdynamic economic dispatchharmonic memorychaotic sequenceprohibited operation zone
万方数据
维普
