Optimal multi-site selection for a PV-based lunar settlement based on a novel method to estimate sun illumination profiles

Recently, space organizations have considered the Moon to host lunar bases. Such bases require power and energy to function. However, the efficient and safe use of the energy resources on the Moon is a huge challenge. Space photovoltaic (PV) power systems are appealing technologies due to their maturity and high solar energy availability at some locations on the Moon. The effectiveness of these PV systems depends on their selenographic location, which might necessitate the deployment of energy storage technologies to cover the base’s energy demand. Some analysts have proposed the installation of PV modules on kilometers-tall towers near the lunar poles to harvest more solar energy and limit the need for energy storage systems (ESSs). Alternatively, this paper proposes to harvest the energy from multiple sites in the lunar South Pole region using a novel technique to compute the Sun illumination profile and the LOLA topographic databases to compute the terrain elevations. The proposed algorithm seeks the most optimal configuration of sites and tower heights to minimize the longest night period and total distance between the sites. This study assesses groups of 1 to 6 sites assuming the use of towers having heights of 10, 100, and 500 [m]. The time horizon for the analysis is one Axial Precession Cycle, which is approximately 18.6 years. According to the results, a system of two sites with a separation of 42.05 [km] and towers of 500 [m] height has a maximum darkness period of only 3 [h] while another solution proposes a system of three sites with towers of 10 [m] that removes the need of EES (solar eclipse periods by the Earth are not considered). The proposed technique is suitable for engineering applications, such as base planning and operation management.     

海岛独立微电网多时间尺度能量调度方法研究

海岛独立微电网是一个复杂信息物理系统,其能量调度是非线性、多约束、多时间尺度的动态性问题。针对这一问题,研究了改进自适应粒子群算法的多时间尺度优化调度模型,并给出了日前多目标调度模型和日内滚动优化修正模型。日前多目标调度基于改进自适应粒子群算法进行多目标优化,确保微电网系统的经济性和稳定性;日内滚动优化调度采取滚动优化方式修正日前调度,确保日前调度的有效性。仿真算例验证了所提方法的有效性和可行性。     

基于直流微电网的混合储能协调控制策略仿真研究

针对直流微电网中光伏发电单元出力的波动性和间歇性造成系统内部功率不平衡的问题,混合储能系统可以同时发挥蓄电池高能量密度和超级电容高功率密度的优势,根据直流母线电压进行混合储能单元间的协调控制策略。该策略将直流母线电压进行分层控制,采用四个电压阈值共分成五个控制区域,以直流母线电压为信息载体,决定储能系统的运行状态,实现对混合储能单元的充电、放电模式间自主切换。电压分层控制有效地避免了蓄电池由于电压波动而频繁进行充放电切换,从而延长了电池的使用寿命。最后,MATLAB/Simulink的仿真结果验证了所提控制策略的可行性。     

一种带辅助微源的新型主从协调控制策略

微电网的协调控制方法是微电网最为关键的技术之一,主从控制方法是微电网协调控制中的常用方法。针对传统的主从控制存在的问题,提出了一种带辅助微源的新型主从控制策略。在传统主从控制基础上,增设一个采用下垂控制的辅助控制单元,此辅助单元可与主控单元一起共同支撑微电网的电压与频率稳定,且当主控单元出现故障时可替补充当新的主控单元,克服了传统主从控制采用单一主控单元发生故障时微电网崩溃的危险,从而增强了主从控制方式的稳定性。MATLAB/Simulink软件仿真验证了所提控制策略的有效性和可行性。     

DFIG在微电网中的电压控制策略与小干扰电压稳定性分析研究

为增强微电网小干扰电压稳定性,针对含双馈感应风力发电机(DFIG)的风光柴微电网,DFIG无功控制采用V-Q下垂控制并引入积分逻辑环节,同时计算变风速情况下DFIG有功功率对应的无功功率极限,对V-Q下垂控制与积分环节进行限幅。通过小干扰分析法找出了一对反映微电网电压响应特性的典型特征值,分析DFIG无功下垂系数取不同值时对典型特征值分布轨迹的影响。为了解决无功下垂系数取较大和较小值时带来的问题,经过参数改进后既促进了DFIG参与微电网调压的效果,又使微电网拥有更好的小干扰电压稳定性。最后在DIgSILENT/Power Factory仿真软件中搭建微电网模型,通过动态时域仿真验证了所提策略和方法对促进微电网调压以及提高微电网小干扰电压稳定性的有效性。     

微电网三相负荷不平衡的量子遗传优化算法研究

为了解决微电网中普遍存在的三相负荷不平衡问题,详细分析了微电网三相负荷不平衡特征,提出了一种新的微电网三相负荷计算方法,并采用了改进型量子遗传算法对模型进行优化求解。所用的量子优化算法中引入了双链式结构和动态旋转角调整策略,提出了一种新的改进型量子遗传算法,并求解得出合适的解,从而获得最优的三相负荷接入方案。最后通过算例仿真验证了所提模型、策略和算法的有效性和可行性。