Multiobjective-based optimal allocation scheme for load frequency control

Summary Load frequency control (LFC) is essential for power system frequency stability. With the development of new technology, more components (eg, storage system) can be applied for frequency control. These components possess different characteristics, leading to varied performance for different allocation scheme (allocation coefficients). This paper deals with optimal allocation scheme for LFC considering both control performance and regulation cost. The optimal allocation scheme is modelled by a multiobjective optimization problem containing area control error index and regulation cost index. Nondominated sorting genetic algorithm II is used to calculate the Pareto optimal solutions. The optimal allocation scheme is thus obtained from the Pareto optimal solutions based on the rank of the load variation. The simulation results show that multiobjective-based optimal allocation scheme can sufficiently consider the LFC control performance and regulation cost and produce better overall performance under different operating circumstances compared with conventional allocation scheme.

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