Method for evaluating random intermittent DG optimized integration based on random optimal power flow

Abstract

The invention discloses a method for evaluating random intermittent DG optimized integration based on the random optimal power flow. The method for evaluating the random intermittent DG optimized integration based on the random optimal power flow comprises the following steps that (1) a mathematic model for construction and operation of an active distribution network is established, wherein the mathematic model comprises an objective function which fully considers construction cost and operating cost of the active distribution network and constraint conditions for operation of the active distribution network; (2) the operating state of the active distribution network is simulated based on the Monte Carlo simulation method and the optimal power flow is calculated, wherein the operating state of the active distribution network is simulated and the optimal power flow is calculated mainly for full consideration of the randomness and the time sequence of DG and a load, the Monte Carlo simulation method is used for simulating the distribution of the random variables such as the wind speed and the illumination intensity in several years based on a DG and load model, and the state variables, such as the branch flow, the DG output and the power loss, in per hour are accurately calculated by means of the optimal flow according to the simulating state; (3) the economical efficiency of the active distribution network is calculated, wherein calculation for evaluation of the economical efficiency of a certain DG integration scheme for the active distribution network is conducted mainly.

Description

technical field [0001] The invention relates to the fields of active distribution network and distributed power generation, in particular to an evaluation method for optimizing and integrating random intermittent DG in the active distribution network. Background technique [0002] With the continuous maturity of new energy power generation technology, distributed power generation is connected to all levels of the distribution network, and the penetration rate continues to increase, which is the development trend of the future distribution network. Due to the double fluctuation of load and DG output, the high penetration rate of DG brings a series of problems to the operation control of distribution network. Active distribution network (Active Distribution Network, ADN) is an important way to solve this problem. [0003] Except for a small number of controllable DGs such as diesel engines, micro gas turbines, and energy storage, most of the internal DGs in ADN are random DGs,...

AI Technical Summary

Problems solved by technology

The analysis of random factors based on the Monte Carlo simulation method has the disadvantage of a large amount of calculation, but the calculation accuracy is high, and it has good applicability to fields such as power grid planning that do not require high calculation time.

When dealing with random factors such as DG and load, many literatures believe that random quantities, such as wind speed, light, and load, are independent of each other, but in fact their probability distributions are all related to time, such as light and load. Variations have typical power curves and they are coupled over time, which has been overlooked in many studies

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