This paper presents a path-finder algorithm (PFA) of meta-heuristic optimization for the performance enhancement of the bias compensated normalized maximum correntropy criteria (BCNMCC) based voltage source converter (VSC) control for a three-phase three-wire grid-tied dual-stage PV system. The DC link voltage (VDC)$\left(V_{\text{DC}}\right)$$\left(V_{\text{DC}}\right)$ variations during induced dynamic conditions are minimized by PFA optimized PI controller which also generates an accurate loss component of current (Id1)$\left(I_{\text{d1}}\right)$$\left(I_{\text{d1}}\right)$ for enhancing the VSC control performance. The BCNMCC algorithm effectively performs the system identification and echo cancellation in the presence of Gaussian noises. An accurate Id1$I_{\text{d1}}$$I_{\text{d1}}$ improves the VSC ability to accurately extract the fundamental load current component and to produce precise weight signals. The BCNMCC performs multifunctional operations, i.e., reactive power compensation, harmonics elimination, load balancing, and power balancing at point of common coupling during steady-state and various dynamic conditions, i.e., grid-islanding & re-synchronization, irradiation variation, unbalanced load and fixed power mode. The proposed system is capable of operating under grid-tied and isolated mode due to the seamless transition of a VSC control from grid current control (GCC) to voltage control. The seamless transition of VSC control does not induce any major transients at the source and on the load side of the system. The hybrid energy storage system (HESS) with a battery, fuel-cell and ultra-capacitor further improves the reliability of the PV system and the stability of the overall system during both grid-tied and isolated operations. The proposed system performs satisfactorily under steady-state and diverse dynamic states as per IEEE519 standards.

本文提出了一种元启发式优化的探路算法（PFA），用于增强三相三线并网的基于偏置补偿归一化最大熵准则（BCNMCC）的电压源换流器（VSC）控制的性能双级光伏系统。直流母线电压（V直流）$（V_{\text{直流}}）$$\left(V_{\text{DC}}\right)$PFA 优化的 PI 控制器可最大限度地减少感应动态条件下的变化，该控制器还可生成精确的电流损耗分量（我d1）$（{我}_{\text{d1}}）$$\left(I_{\text{d1}}\right)$用于增强 VSC 控制性能。BCNMCC算法在存在高斯噪声的情况下有效地执行系统识别和回声消除。一个准确的我d1${我}_{\text{d1}}$$I_{\text{d1}}$提高了 VSC 准确提取基本负载电流分量并产生精确重量信号的能力。BCNMCC在稳态和各种动态条件下执行多功能操作，即无功功率补偿、谐波消除、负载平衡和公共耦合点的功率平衡，即.、电网孤岛和重新同步、辐照变化、不平衡负载和固定功率模式。由于 VSC 控制从电网电流控制 (GCC) 到电压控制的无缝过渡，所提出的系统能够在并网和隔离模式下运行。VSC 控制的无缝过渡不会在系统的源端和负载侧引起任何重大瞬变。由电池、燃料电池和超级电容器组成的混合储能系统（HESS）进一步提高了光伏系统的可靠性以及整个系统在并网和孤立运行时的稳定性。根据 IEEE519 标准，所提出的系统在稳态和多种动态状态下均表现令人满意。