Given the popularity of new energy and the connection between large power electronic equipment and power system, the operation of power system becomes more complex and requires higher accuracy of power flow calculation. Therefore, a power flow calculation method considering high-order load model is proposed. On the basis of the Newton-Raphson method, when considering the load voltage characteristics, it is necessary to change the variables in the Newton-Raphson method power flow. Therefore, the established polynomial load model is introduced into the Newton-Raphson method, and the effect becomes more obvious with the increase of the order. Finally, constant power, constant current, constant impedance load and fifth order load models are tested in IEEE14-bus system respectively to verify the good accuracy and robustness of the proposed method.
New energy unit output prediction error probability characteristics analysis and decision alternatives to the system are of great significance. The conventional analytical model based on a specific analytical form is not flexible enough to describe the distribution law of the actual output of new energy, and there are errors. In order to suppress the impact of uncertainty, centralized new energy usually needs to be equipped with energy storage applications with sufficient capacity, thus affecting economic benefits. Therefore, from the point of view of stochastic process, according to a special stochastic differential equation Vasicek model, this paper gives the parameter estimation method of the new energy output model, avoids the specific analytical expression of the probability distribution, and proposes an improved energy storage allocation method based on this model. The example analysis shows that the proposed algorithm has better short-term prediction performance, which makes the decision of energy storage capacity allocation more accurate and economical.
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