海洋平台多能互补系统电源容量优化

Power Source Capacity Optimization in Multiple Energy Complementary System for Offshore Platform

将风、光等新能源应用于海洋平台成为研究的热点,但其波动性对平台电力系统带来一定的不安全因素,所以实际应用中,往往采用风光柴储的多能系统。研究中以海洋平台为研究对象,对多能系统的电源容量进行优化,保证系统的经济性和稳定性,实现新能源最大化利用。研究中为了提高整个海洋平台电力系统的经济性,需根据海洋平台附近的资源条件对系统的电源容量进行优化设计,选取最优的电源容量组合。本文建立了独立风/光/柴/储海洋平台电力系统中各个电源的多目标优化模型,利用多目标粒子群(multi-objective particle swarm optimization,MOPSO)求解系统中各个电源容量配置的Pareto最优解集,并基于满意度评价的模糊理论设计推荐的折衷解。

Applying the new energy, such as wind, solar, to platform becomes a research hotspot, but its volatility brings some unsafe factors of electrical power system on the platform, so in the practical application, the multi-energy complementary system of wind/solar/diesel/battery is adopted. In the study, we take the offshore platform as research object, and optimize the power source capacity of pluripotent system, to ensure the economy and stability of the system, and to maximize the utilization of the new energy. In order to improve the economic benefit of the electrical power system on the offshore platform, we make an optimization design of power source capacity of the system based on the near resource conditions of the ocean platform to select the optimal capacity allocation. This paper establishes multi-objective optimization model of the power supply in the independent wind/solar/diesel/battery system on the offshore platform, using multi-objective particle swarm （MOPSO） to get the Pareto optimal solution set, from which the recommended compromise solution is designed using the fuzzy theory based on the satisfaction evaluation.