The increase in environmental protection awareness and the progressive exhaustion of conventional fossil energy sources have increased interests in integrating wind energy sources into existing power systems. Despite the various benefits of wind power, the intermittency and unpredictability of wind power generation cause operational concerns and waste usable capacity as the installation of the wind generation sources increases. To enhance the value of an intermittent wind energy source by using a battery energy storage system (BESS), an iterative algorithm that combines improved dynamic programming and a hybrid direct search method were developed for solving the optimal wind-thermal-battery coordination scheduling (WTBCS) problem in power systems. Key concerns in BESSs and the integration of wind energy and electric power systems were investigated and discussed using the proposed WTBCS software. In addition, the developed WTBCS software is useful in assessing the effect and economic benefits of installing BESSs and wind farms. Numerical experiments were conducted to provide information for both operational and planning problems in isolated power systems, such as the Penghu power system.

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