基于岛屿互联的远洋海岛群微电网系统优化设计

Optimized Design of Microgrid System for Pelagic Island Group Based on Island Interconnection

远洋海岛群与普通海岛不同,它们远离大陆,与大陆互联构成主网与配网成本太高,损耗较大。考虑到远洋海岛群的特殊位置,研究海岛群内的负荷分布状况和可再生能源储备状况,将远洋海岛群内岛屿划分为远洋资源岛(Pelagic resource island)和远洋负荷岛(Pelagic load island)。在兼顾经济性与环保性的前提下,以远洋海岛群微电网系统的日均运行成本最低和可再生能源消纳比例最高为目标函数,建立了基于岛屿互联的远洋海岛群微电网系统优化调度模型。并以蓄电池的充放电功率和柴油发电机的输出功率为优化变量,采用改进粒子群灰狼混合算法(GWO_PSO)求解优化调度模型。将其运用到实际算例中,算例结果表明该优化调度模型的可行性和有效性。并通过与传统粒子群算法(Particle swarm optimization,PSO)比较,验证了改进粒子群灰狼混合算法的优越性。该算法收敛性能更好,在提高可再生能源消纳比例和降低系统运行成本方面具有显著的优势。

The pelagic island group differs from ordinary islands in that they are far away from the mainland,and the costs of being interconnected with the mainland to form the main network and distribution network are too high,resulting in relatively large losses.Considering the unique location of the pelagic island group,the distribution of loads and the status of renewable energy reserves within the island groups were studied,and the islands are divided into pelagic resource islands and pelagic load islands.On the premise of balancing economics and environmental protection,an optimization scheduling model based on island interconnection is established for the microgrid system of the pelagic island group,with the objective of minimizing the daily operating cost and maximizing the consumption of renewable energy.Battery charging and discharging power and diesel generator output power are used as optimization variables,and the improved particle swarm grey wolf hybrid algorithm(GWO_PSO)is adopted to solve the optimization scheduling model.The model is applied to practical examples,and the results show its feasibility and effectiveness.Furthermore,by comparing it with the traditional particle swarm optimization algorithm(PSO),the superiority of the improved particle swarm grey wolf hybrid algorithm is validated.Better convergence performance and significant advantages in increasing the proportion of renewable energy consumption and reducing system operating costs are offered by the algorithm.