Dynamic economic dispatching method for power system considering photovoltaic power generation

Abstract

The invention discloses a dynamic economic dispatching method for a power system considering photovoltaic power generation. The method comprises the following steps: historical meteorological data are acquired for statistical analysis, and solar irradiance and temperature prediction curves in the next 24 hours are obtained; statistics on historical load data is carried out, and a power system load curve in the next 24 hours is predicted and obtained; a photovoltaic power station output model is built, and a photovoltaic output prediction curve in the next 24 hours is obtained; according to a photovoltaic output probability distribution model, the photovoltaic output probability distribution in the next 24 hours and photovoltaic output values in different scenes are obtained; a dynamic economic dispatching optimization model for the power system with the photovoltaic power station is built, and a risk reserve curve is obtained; the risk reserve capacity is calculated, and a risk capacity curve is obtained; a basic UC optimization problem is solved, and a unit commitment scheme is corrected; and a dispatching scheme with the minimum target function found out during an operating cost expected value process is solved as the optimal economic dispatching scheme. The operation risk controllability and the operation economy of the power system are ensured.

Description

technical field [0001] The invention relates to a dynamic economic dispatching method of a power system considering photovoltaic power generation, and belongs to the technical field of power system economic dispatching. Background technique [0002] In the traditional power system, the unstable factors of the system mainly come from the load side, and the output of the power generation side is controllable, and the random changes in the power demand of the load side are dealt with by adjusting the output of the unit on the power generation side. After the large-scale photovoltaic power station is connected to the power grid, due to the fluctuation of photovoltaic output and low prediction accuracy, some power output on the power generation side is uncontrollable. Random changes in this part of uncontrollable power supply and load require flexible power adjustment capabilities The operation of the control power supply adds new uncertain factors to the system operation, so the...

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Problems solved by technology

Literature [1] comprehensively considered the factors affecting the random variation of solar irradiance, established a time-varying model of solar irradiance based on the Monte Carlo method, and obtained the power output characteristics of the photovoltaic power generation system according to the principle of photovoltaic energy conversion, but based on The photovoltaic power output characteristics obtained by statistics are not suitable for the short-term operation of the system; literature [2] uses the autoregressive moving average (ARMA) model to predict the solar irradiance, and combines the photovoltaic output characteristics and clustering theory to establish a photovoltaic output multiple State stochastic prediction model, which is applied to medium and long-term production simulation of photovoltaic power systems, but this model cannot consider dynamic constraints such as continuous start-up and shutdown time of units in short-term economic dispatch; literature [3] uses fuzzy theory to Photovoltaic output is represented by a fuzzy set, and the randomness of photovoltaic output is considered by using a trapezoidal membership function; on the basis of fuzzy processing of photovoltaic output, the literature [4] introduces credibility theory, controls risks with confidence levels, and establishes fuzzy opportunities Constrained mathematical model of unit combination, but the risk cost is not considered in the objective function

The current literature has studied the output characteristics of photovoltaic power generation and achieved certain results, but there is still a lack of in-depth exploration in measuring the power benefits and risk costs brought to the power system after large-scale photovoltaic access

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