Micro-grid environment economic scheduling method in consideration of standby cost

Abstract

The invention discloses a micro-grid environment economic scheduling method in consideration of a standby cost. A micro-grid scheduling target function is constructed according to a principle of minimizing an operation cost, an environment cost and the standby cost. An improved particle swarm algorithm which comprises a time-varying acceleration coefficient is utilized for solving the target function. The method comprises the steps of (1), constructing a micro-grid scheduling target function; (2), setting the parameter of the improved particle swarm algorithm; (3), initializing the particle swarm; (4), initializing Pi, Pg and I; (5), updating the particle speed and position by means of an updating formula; (6), evaluating the updated particle by means of the target function; (7), updatingthe Pi, Pg and I; and (8), determining whether a stopping condition is satisfied, if yes, outputting a global extreme value, and otherwise, returning to the step (5). The method according to the invention can effectively reduce the standby cost, the operation cost and the environment cost in operation of the micro-grid and can supply reference in manufacturing a corresponding standby plan in micro-grid environment economic scheduling.

Description

technical field [0001] The present invention relates to a micro-grid environmental economic scheduling method that takes into account backup costs, in particular to constructing a micro-grid scheduling objective function based on the principle of minimizing backup costs, operating costs and environmental costs, and adopting an improved particle swarm algorithm with time-varying acceleration coefficients A method for optimizing an objective function. Background technique [0002] Microgrid is an organic system composed of loads, micropower sources and energy storage devices, and is an important part of smart grids. A microgrid is an autonomous system capable of self-protection, management, and control, and it can operate in parallel with the external grid or in isolation. At present, some achievements have been made in the research of microgrid scheduling, but there are still many problems. [0003] For example, when constructing the microgrid scheduling objective function,...

AI Technical Summary

Problems solved by technology

In the later stage of the iteration, the global search ability will be insufficient, and the effect will be poor, making it difficult to find the global optimal solution

Images