Integrated Optimal Scheduling Strategy for VSG Microgrids Based on Improved Multi-objective Genetic Algorithm

Abstract

The coordinated control and energy management of different resources in a high proportion of new energy microgrids is a key issue to be addressed. In this paper, a coordination and optimal dispatching model is developed for microgrids containing VSGs in the context of low carbon and environmental protection, taking into account low carbon and environmental protection, reliability and economy. The model considers the virtual inertia and reserve capacity of each type of VSG in terms of reliability, and the operating costs of each generation unit, interruptible load compensation costs, ladder carbon trading costs and pollutant treatment costs in terms of low-carbon environmental protection and economics. Finally, the improved INSGA2-DS multi-objective optimisation genetic algorithm is used to solve the model and carry out comprehensive optimisation of the power regulation and economic dispatch of the inverter and each power source, solving the problems of long computation time and difficulty in adapting the traditional INSGA2-DS algorithm to complex optimisation models. The simulation results validate the rationality and effectiveness of the proposed model, and realise the effective dispatch of the microgrid in a low-carbon, environmentally friendly and economic manner.