Active power distribution network multi-target day-ahead optimization scheduling method based on wind and light randomness

Abstract

The invention relates to an active power distribution network multi-target day-ahead optimization scheduling method based on wind and light randomness. The method comprises the following steps: establishing a fan output prediction model and a photovoltaic output prediction model by adopting Weibull distribution and Beta distribution respectively; respectively establishing a demand response model based on price and excitation; according to the opportunity constraint planning theory, expressing a target function containing random variables and constraint conditions in a form meeting a certain confidence coefficient, performing calculating by using a random simulation technology, and establishing an opportunity constraint planning model; generating a large number of wind and light output scenes according to the theory of a scene method, obtaining fewer scenes after sorting and reduction, and establishing a scene method model according to an expected objective function and constraint conditions; and proposing economical efficiency, safety and reliability indexes of the active power distribution network, and respectively solving the opportunity constraint programming model and the scene method model by using an MOEA / D algorithm. According to the method, the day-ahead multi-target random optimization scheduling problem of the active power distribution network containing wind, light, storage and demand responses is well solved.

Description

technical field [0001] The invention belongs to the technical field of active distribution networks, and in particular relates to a multi-objective day-ahead optimization scheduling method for active distribution networks based on the randomness of wind and light. Background technique [0002] In the context of global energy shortage and environmental degradation, renewable energy represented by wind and light has become a research hotspot. This kind of renewable energy units are mostly connected to the distribution network in a distributed form. However, the fixed network structure and passive control and protection mode of the traditional distribution network lack effective means to manage renewable energy and cannot solve the problem of high penetration. A series of adverse effects brought about by the access of high-rate distributed power sources, and it is impossible to achieve optimal scheduling of distribution network energy. The active distribution network can use v...

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Problems solved by technology

Therefore, the optimal scheduling problem is a multivariable, multi-constrained, non-convex nonlinear mixed integer optimization problem, and it is very difficult to solve

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