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Maximization of reliability of stochastic multiple machines power system based on the quasi Hamiltonian system

机译:基于准哈密顿系统的随机多机电力系统可靠性最大化

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摘要

The influence of stochastic factors on power system operation is increasing because of the high penetration rate of renewable energy, which makes it necessary to study the control of stochastic power system. The quasi-Hamiltonian equations of controlled multi-machine power system are built. The stochastic averaging method of quasi-Hamiltonian system is applied to obtain the average Itô function of the system based on the energy function. A dynamic programming equation is established with the maximum reliability of the bounded fluctuation region as its control objective to obtain the optimal control law of system. A conditional reliability function is introduced to measure the reliability of bounded fluctuation region, which is calculated by analytical method, and it is compared with the result of Monte Carlo method. Simulative results verify the effectiveness of the proposed control method.
机译:由于可再生能源的普及率高,随机因素对电力系统运行的影响越来越大,因此有必要研究随机电力系统的控制。建立了受控多机动力系统的准哈密顿方程。采用准哈密顿系统的随机平均方法,基于能量函数获得系统的平均Itô函数。建立了以边界波动区域的最大可靠性为控制目标的动态规划方程,以获得系统的最优控制律。引入了条件可靠性函数来度量有界波动区域的可靠性,该函数是通过解析方法计算得出的,并与蒙特卡洛方法的结果进行了比较。仿真结果验证了所提出控制方法的有效性。

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