A Stochastic Optimization Method for Unit Start-up and Shutdown Based on Convex Relaxation of Chance Constraints

Abstract

The invention proposes a unit start-stop random optimization method based on chance constrain convex relaxation. The optimization method comprises a step of establishing a model for calculating the economic cost of operation after combining a renewable energy unit with a conventional thermal power unit, a step of adopting a convex relaxation algorithm for opportunity constraint and transforming astochastic dynamic economic dispatch cost model generated by change constraint into a deterministic economic dispatch cost model and a convex optimization problem that is easy to solve, and a step ofsolving the deterministic economic dispatch cost model and an objective function. According to the optimization method of the present invention, a unit start-stop strategy is optimized, the risk of apower system is effectively reduced, by controlling the start and stop of the traditional thermal power unit and the renewable energy unit, the level of consumption of renewable energies such as windand light is improved, and the contradiction between the operation risk and operation cost of the power system is solved efficiently and quickly.

Description

technical field [0001] The invention belongs to the technical field of power system operation, and in particular relates to a random optimization method for starting and stopping of a unit based on a convex relaxation algorithm. Background technique [0002] The development and utilization of renewable energy to realize the sustainable development of energy is a major measure of my country's energy development strategy. As wind power and photovoltaics are connected to the grid on a large scale, their volatility and randomness make it difficult to apply the traditional methods of unit start-stop and output optimization. [0003] In order to reduce the adverse impact of the uncertainty of new energy on the power grid, robust unit combination and two-stage unit combination are commonly used modeling strategies. However, due to the conservatism of robust optimization, it will bring unnecessary The cost of the two-stage unit combination model is a commonly used modeling strategy...

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Problems solved by technology

[0006] However, it is very difficult to solve the chance-constrained optimization problem. The existing solution methods generally have the disadvantage of large amount of calculation, so the efficiency and flexibility of the unit combination cannot be realized. The modeling of the unit combination considering the randomness of renewable energy And efficient solution is the key problem to solve the unit start-stop plan at present

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