Active power distribution network rolling optimization scheduling method
An active distribution network, rolling optimization technology, applied in the direction of AC network load balancing, single-network parallel feeding arrangement, etc., can solve the problems of slow convergence speed, easy to fall into local optimum, etc., and achieve low active network loss and node voltage deviation. small effect
Active Publication Date: 2020-02-04
XIAMEN UNIV
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Although the current MOEA / D algorithm has solved the multi-objective optimization problem very well, there are still big problems in the face of more difficult high-dimensional multi-objective optimization problems with a large number of objectives, such as easy to fall into local optimum. Excellent, slow convergence speed, etc.
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[0046] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments.
[0047]Such as figure 1 As shown, according to an embodiment of the present invention, a rolling optimization scheduling method for an active distribution network may include the following steps:
[0048] S1: Establish an active distribution network rolling optimization scheduling model with the minimum operating cost, minimum controllable power output adjustment, minimum active network loss, and minimum node voltage deviation as the objective function and constrained by component constraints, load constraints, and network constraints . details as follows:
[0049] Rolling optimal scheduling is an online optimal scheduling based on model predictive control technology. Its principle is as follows: figure 2 shown. The horizontal axis represents the rolling optimal scheduling time, m represents the rolling optimal scheduling prediction step size, n...
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The invention relates to an active power distribution network rolling optimization scheduling method. The method comprises the following steps of: S1, establishing an active power distribution networkrolling optimization scheduling model which takes minimum operation cost, minimum controllable power supply output adjustment amount, minimum active network loss and minimum node voltage deviation astarget functions and takes element constraint, load constraint and network constraint as constraint conditions, and S2, solving the active power distribution network rolling optimization scheduling model by using an improved differential evolution algorithm MOEA / D-TSA to obtain a rolling optimization scheduling scheme of the active power distribution network. By adopting the method provided by the invention to carry out intra-day rolling optimization scheduling on the active power distribution network, the active network loss and the node voltage deviation of the active power distribution network can be smaller.
Description
technical field [0001] The invention relates to the field of active distribution networks, in particular to a rolling optimization scheduling method for active distribution networks. Background technique [0002] Under the background of energy crisis and greenhouse effect, renewable energy has developed rapidly. Most of these renewable energy installations are connected to the power system in a distributed manner. However, the active power output of distributed generation has strong uncertainty and volatility, which is greatly affected by wind and solar conditions. Therefore, the large-scale integration of distributed power into the power grid will have adverse effects on the relay protection, power quality and network planning of the distribution network, and the safe and stable operation of the traditional distribution network cannot be guaranteed. Therefore, in order to solve the above problems, active distribution network technology has gradually become a research hots...
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IPC IPC(8): H02J3/46H02J3/38H02J3/28
CPCH02J3/28H02J3/46
Inventor 张景瑞李卓耘王贝贝李钷曾涛项继权王子俊
Owner XIAMEN UNIV