Control strategy of energy storage for frequency coordination dispatch based on improved niche genetic algorithm

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Abstract

In order to reduce the operating cost of power frequency control, a control strategy based on energy storage optimization is presented. The aim of the control strategy is maximizes the use of power provided by new energy power supply and reduces the electric energy from real-time power grid; the operation cost is effectively reduced without influences on the power life by reasonable charge and discharge strategy of energy storage, by the improved niche genetic algorithm based on fuzzy clustering, a hour level of scheduling plan is given by this case. Based on the uncertainty on the energy demand and supply, the optimal value of the direct purchase of the frequency control is determined. The computation results show that under the same condition of system framework, load and operating environment, through reasonable and effective operation of the frequency control strategy, effectively reduce the operating costs of the system, has a high practical value.

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Chen, D., Zhou, N., Ting, C., Li, C., Guo, H., Zhang, L., & Wang, X. (2018). Control strategy of energy storage for frequency coordination dispatch based on improved niche genetic algorithm. In Advances in Intelligent Systems and Computing (Vol. 658, pp. 79–92). Springer Verlag. https://doi.org/10.1007/978-3-319-67349-3_7

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