In view of the photovoltaic grid-connected power system, the transient frequency stability of the system is analyzed in this paper. First, the photovoltaic grid-connected power system was modeled and analyzed. On this basis, the maximum frequency deviation is used as the index to determine the interval in which the system accommodates the maximum photovoltaic capacity, and the influence of frequency stability of the high-permeability photovoltaic high disturbance system is studied. Second, the evaluation and prediction methods of frequency dynamic characteristics of photovoltaic access nodes based on surface fitting are proposed, and the critical values of high penetration photovoltaic access for different grid points are given. Finally, an improvement measure based on the optimization of the frequency modulation parameters of large-capacity units is proposed, and the effectiveness of the proposed method in improving the transient frequency stability of the system after photovoltaic access is verified by the IEEE 39-standard system.
Offshore micro integrated energy systems (OMIESs) are the basis of offshore oil and gas engineering and play an important role in developing and utilizing marine resources. By introducing offshore wind power generation, the carbon emissions of offshore micro integrated energy systems can be effectively reduced; however, greater challenges have been posted to the reliable operation due to the uncertainty. To reduce the influence brought by the uncertainty, a multiobjective optimization model was proposed based on the chance-constrained programming (CCP); the operating cost and penalty cost of natural gas emission were selected as objectives. Then, the improved hybrid constraints handling strategy based on nondominated sorting genetic algorithm II (IHCHS-NSGAII) was introduced to solve the model efficiently. Finally, the numerical studies verified the efficiency of the proposed algorithm, as well as the validity and feasibility of the proposed model in improving the economy of OMIES under uncertainty.
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