Random fuzzy power flow algorithm for distributed wind power, photovoltaic power generation and other uncertain energy sources connected to power system
A photovoltaic power generation and power system technology, applied in computing, electrical components, circuit devices, etc.
Active Publication Date: 2016-06-01
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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[0005] Extracting the random fuzzy and uncertain characteristics of distributed wind power, photovoltaic power generation and other uncertain energy access systems is the basic work of power system planning and design. It is more in line with the objective actual situation that the system load is random and fuzzy at the same time. It is necessary to embed the uncertain energy system load as a random fuzzy variable into the power flow calculation of the system.
A stochastic fuzzy power flow algorithm for connecting uncertain energy sources such as distributed wind power and photovoltaic power generation to the power system is proposed
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[0017] The present invention comprises the following steps:
[0018] 1. The node power of distributed wind power, photovoltaic power generation and other uncertain energy access systems is regarded as a random fuzzy variable and random fuzzy simulation is performed.
[0019] Existing studies have shown that distributed wind power, photovoltaic power generation and other uncertain energy access system node load power has uncertainty, which is considered to be random and fuzzy at the same time, and a random fuzzy model such as formula (1) is established to combine distributed wind power, The random fuzzy variable ξ is used for the node active power p of uncertain energy access system such as photovoltaic power generation p Indicates that its chance measure function is obtained as:
[0020] f ( ξ p ) = Σ i = 1 ...
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The invention belongs to the technical field of a random fuzzy power flow algorithm for distributed wind power, photovoltaic power generation and other uncertain energy sources connected to a power system, and discloses a power flow algorithm considering the fact that the power of the uncertain energy sources connected to the power system has random fuzzy characteristics. The load of the uncertain energy sources connected to the power system is taken as a random fuzzy variable, and the node load power is randomly simulated in a fuzzy manner; the node load power is embedded to Newton-Raphson power flow calculation to obtain voltage amplitude values and phase angle data of the corresponding nodes of the system; the probability distribution characteristics of the node voltage amplitude values and the phase angles are subjected to extraction and statistics; a probability distribution model suitable for fitting the node voltage amplitude values and the phase angles, and the parameter fuzzy characteristics are analyzed and determined; and the random fuzzy model for the node voltages and phase angles is established. According to the power flow algorithm, the influences on the node voltages of the power distribution network from the uncertainties of the distributed type power supply outputs can be more comprehensively analyzed, so that corresponding guiding evidences can be provided for power generation plan arrangement and dispatching for a large number of distributed wind power, photovoltaic power generation and other uncertain energy sources connected to the power system in the future.
Description
technical field [0001] The invention belongs to the technical field of random fuzzy power flow calculation for distributed wind power, photovoltaic power generation and other uncertain energy sources connected to power systems, and proposes a random fuzzy power flow algorithm for distributed wind power, photovoltaic power generation and other uncertain energy sources connected to power systems. Background technique [0002] Power flow calculation is the premise and foundation of power system planning and design. Whether the adopted power flow calculation method is reasonable will directly affect the safe, reliable and economical operation of the planned and designed system after it is put into operation in the future. As distributed wind power, photovoltaic power generation and other uncertain energy sources are increasingly connected to substations and the capacity continues to increase, the load uncertainty increases, and randomness and fuzziness coexist in the uncertain c...
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IPC IPC(8): H02J3/00G06Q50/06
CPCG06Q50/06H02J3/00H02J2203/20
Inventor 马瑞吴瑕
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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