Random production analog method of electric system with large-scale photovoltaic power station

Abstract

The invention provides a random production analog method of an electric system with a large-scale photovoltaic power station. The method includes the following steps that conventional unit data, light resource data and time sequence load data are acquired; the equivalent effective capacity cumulant of all orders of a system unit without the photovoltaic power station is determined; time sequence effective capacity probability distribution Beta models and parameters of photovoltaic power generation at corresponding time frames are sequentially acquired; equivalent effective capacity distribution probability models and parameters of the system unit with the photovoltaic power station at corresponding time frames and reliability indexes under the corresponding load levels are sequentially obtained; and the reliability indexes of the system under the total load level are obtained in a hop-by-hop accumulation mode. The method relates to correlation on the time sequence between photovoltaic power station output and the load change, random fluctuation of the photovoltaic power station output is contained in system equivalent effective capacity probability distribution through cumulant correction, and the method is used for acquiring the reliability indexes of the system under the corresponding running modes.

Description

technical field [0001] The invention relates to a method in the field of power system analysis and calculation, in particular to a random production simulation method for reliability analysis of a power system including a large-scale photovoltaic power station. Background technique [0002] In recent years, with the operation of large-scale photovoltaic power generation connected to the grid, the intermittency and volatility of its output have brought severe challenges to the peak regulation, frequency regulation and safety and stability of the power system. The stochastic production simulation method of power system including large-scale photovoltaic power plants has become a hot spot for researchers as an important tool for evaluating the maximum acceptance capacity of photovoltaic power generation and formulating photovoltaic power generation development planning. [0003] As an important tool for power planning, operation scheduling and reliability analysis, stochastic p...

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Problems solved by technology

The core of this type of algorithm is to transform the sequential load curve into a continuous load curve. The impact of the random outage of each generating unit on the continuous load curve is represented by the continuous load increase, forming an equivalent load continuous curve, ignoring the sequential characteristics of the load, so It is difficult to deal with the problem of stochastic production simulation of time-dependent class power

At present, relevant research results at home and abroad are mainly focused on the random production simulation of power systems including wind farms. There are few studies on photovoltaic power plants participating in power system stochastic production simulations. There is an urgent need for a set of scientific and practical power system stochastic production simulations with large-scale photovoltaic power plants. simulation method

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