Multi-source optimization scheduling calculation-oriented improved effective set-based rapid solving method

Abstract

The invention belongs to the technical field of multi-source coordinated optimization scheduling, and relates to a multi-source optimization scheduling calculation-oriented improved effective set-based rapid solving method. The method comprises the following steps of: 1, collecting distributed power supply, load and scheduling operation-related parameters in an optimization region; 2, establishinga convex quadratic programming model by taking the minimum sum of quadratic performance indexes of the deviation between the predicted output of the controllable distributed power supply and a long-time scale optimization scheduling value as an objective function; 3, forming an initial effective set by using all output limit value constraint indexes under the output limit condition of the controllable distributed power supply and equality constraint indexes in the convex quadratic programming model, and establishing an effective set identification index to serve as a basis for updating the effective set; 4, performing optimization calculation by utilizing the initial effective set and updating the effective set; and 5, issuing and executing the solved control increment instruction, judging whether an optimization period end point is reached or not, if so, entering the next optimization scheduling period, and if not, returning to the step 4 for re-solving.

Description

technical field [0001] The invention belongs to the technical field of multi-source coordinated optimization scheduling, and relates to a multi-source optimal scheduling calculation-based fast solution method based on an improved active set. Background technique [0002] In response to the energy and environmental crisis brought about by the development and utilization of fossil energy, in today's regional energy networks such as microgrids, virtual power plants, and active distribution networks, intermittent distributed power sources such as wind power and photovoltaics, as well as energy storage, micro gas turbines, and flexible loads The access to controllable distributed power sources is increasing day by day. Applying the model predictive control consisting of three parts of multi-step prediction, rolling optimization and feedback correction to the research of optimal scheduling real-time control has achieved good results. Compared with the traditional open-loop power ...

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Problems solved by technology

[0003] At present, due to the inherent uncertainty and randomness of renewable energy, the output of distributed renewable energy may change greatly in a short period of time.

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