Quantifying the Impact of Different Parameters on Optimal Operation of Multi-Microgrid Systems

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI:10.1109/RTSI55261.2022.9905218

M. Javidsharifi, Hamoun Pourroshanfekr Arabani, T. Kerekes, D. Sera, J. Guerrero

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Abstract

The multi-objective optimal power management of multi-microgrid systems is solved in this paper. Minimizing the total cost and emission of the system are considered as the objective functions. The multi-objective particle swarm optimization algorithm is applied on a multi-microgrid system that consists of four microgrids each includes diesel generators, wind turbines, photovoltaic units, battery, and local loads. The multi-microgrid system can exchange power with the electricity grid. Moreover, the adjacent microgrids in the multi-microgrid system can share power with each other. The impact of the variation of battery charging and discharging efficiency, the electricity price, the capacity of diesel generators and renewable-based units, the maximum exchangeable power between the multi-microgrid system and the electricity grid and the power sharing among adjacent microgrids on day-ahead units’ scheduling of multi-microgrid are evaluated through sensitivity analysis in simulation results.

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量化不同参数对多微网系统优化运行的影响

研究了多微网系统的多目标最优功率管理问题。以系统总成本和排放最小为目标函数。将多目标粒子群优化算法应用于由柴油发电机组、风力发电机组、光伏发电机组、蓄电池和局部负荷组成的4个微电网组成的多微电网系统。多微电网系统可以与电网进行电力交换。此外，在多微网系统中相邻的微网可以相互共享电力。通过对仿真结果的敏感性分析，评估了电池充放电效率、电价、柴油发电机组和可再生发电机组容量、多微网系统与电网之间的最大可交换功率以及相邻微网之间的电力共享等变化对多微网日前调度的影响。

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来源期刊

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)

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