基于改进多目标遗传算法的VSG微电网综合优化调度策略

Jiahang Sun, Moucheng Zhang, Hao Cao, Jingguang Huang
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引用次数: 0

摘要

高比例新能源微电网中不同资源的协调控制和能源管理是需要解决的关键问题。本文在低碳环保背景下,综合考虑低碳环保、可靠性和经济性,建立了含VSGs微电网的协调优化调度模型。该模型在可靠性方面考虑了各类VSG的虚拟惯性和备用容量,在低碳环保和经济性方面考虑了各发电机组的运行成本、可中断负荷补偿成本、阶梯碳交易成本和污染物处理成本。最后,采用改进的INSGA2-DS多目标优化遗传算法对模型进行求解,对逆变器和各电源的功率调节和经济调度进行综合优化,解决了传统INSGA2-DS算法计算时间长、难以适应复杂优化模型的问题。仿真结果验证了所提模型的合理性和有效性,实现了低碳、环保、经济的微电网有效调度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Optimal Scheduling Strategy for VSG Microgrids Based on Improved Multi-objective Genetic Algorithm
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.
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