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储能系统技术 储能系统 PWM控制 微电网 ★ 5.0

考虑HCSY-MG并网系统强非线性的输出功率分配控制策略

Output Power Allocation Control Strategy Considering Strong Nonlinearity of HCSY-MG Grid-connected System

语言:

中文摘要

针对半桥变换器串联Y型连接微网(HCSY-MG)并网系统的输出功率分配问题,提出一种基于拉格朗日-近端策略优化(Lagrange-PPO)算法的控制策略。建立了载波层叠正弦脉宽调制(CD-SPWM)下的系统输出功率数学模型,推导了各发电模块(GM)与载波层的对应关系,并将强非线性约束下的功率控制问题建模为受限马尔可夫决策过程以降低求解复杂度。通过仿真与实验验证了该策略在多模块功率协调分配中的有效性与优越性。

English Abstract

The half-bridge converter series Y-connection microgrid (HCSY-MG), as a novel type of series-connected microgrid, has received limited attention regarding output power allocation and control. Moreover, existing power allocation and control strategies for microgrids are not directly applicable to HCSY-MG grid-connected system. To achieve the output power distribution and control of the HCSY-MG grid-connected system across various generation modules (GMs), while considering the system’s strong nonlinearity constraints, a control strategy for output power distribution based on the Lagrange-proximal policy optimization (Lagrange-PPO) algorithm was proposed. First, the output power mathematical model of the HCSY-MG grid-connected system was established under the carrier disposition sinusoidal pulse width modulation (CD-SPWM) method. Based on the output power range of each GM and microsource output power, the corresponding relationship between each GM and the carrier layers was derived. Then, considering the strong nonlinearity in the output power constraints of each GM under the CD-SPWM strategy, the output power control problem is reformulated as a constrained Markov decision process (MDP) to reduce algorithmic complexity. To address this constrained MDP, a Lagrange-proximal policy optimization algorithm is proposed. Finally, the feasibility and effectiveness of the proposed strategy, along with its superiority over conventional methods, are validated through both simulations and experimental comparisons.
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SunView 深度解读

该Lagrange-PPO算法控制策略对阳光电源ST系列储能变流器和PowerTitan大型储能系统具有重要应用价值。HCSY-MG拓扑的多模块功率分配问题与阳光电源模块化储能系统架构高度契合,其CD-SPWM调制下的强非线性约束求解方法可直接应用于多机并联场景的功率协调控制。基于受限马尔可夫决策过程的建模思路为ST储能变流器的多模块功率均衡提供了新的优化路径,可降低控制算法复杂度,提升系统动态响应性能。该技术还可扩展至SG系列组串式逆变器的多MPPT通道功率管理,以及充电桩多模块并联控制,增强阳光电源产品在复杂工况下的功率分配精度和系统稳定性。