This paper proposes a hybrid algorithm for capacity configuration optimization of a solar PV-battery-based micro-grid. The hybrid algorithm (BAPSO), which is a combination of Particle Swarm Optimization (PSO) and Bat Algorithm (BA), is designed to optimize the solar generation location and capacity for the efficient performance of a micro-grid. The algorithm considers dynamic transmission power loss optimization and integrates PSO and BA algorithms’ respective advantages to form a hybrid algorithm. The proposed algorithm combines PSO’s fast convergence ability with the less computation time ability of BA to better optimal solution by incorporating the BA’s frequency into the PSO velocity equation to control the pace. The design from the proposed algorithm is tested and validated on IEEE 30 bus test system. The transmission power loss before implementing the algorithm was 22 kW and reduced to 20 kW after the algorithm is used. A further reduction of 0.3 kW of losses is observed by placing the solar generation system at bus number 29.

中文翻译：

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基于分布式太阳能光伏微电网容量配置优化的混合算法 (BAPSO)

本文提出了一种基于太阳能光伏电池的微电网容量配置优化的混合算法。混合算法（BAPSO）是粒子群优化（PSO）和蝙蝠算法（BA）的结合，旨在优化太阳能发电位置和容量，以实现微电网的高效性能。该算法考虑动态传输功率损耗优化，综合PSO和BA算法各自的优点，形成混合算法。该算法将PSO的快速收敛能力与BA的较少计算时间能力相结合，通过将BA的频率纳入PSO速度方程来控制步速，从而获得更好的最优解。所提出算法的设计在 IEEE 30 总线测试系统上进行了测试和验证。实施算法前的传输功率损耗为22kW，使用算法后降低至20kW。通过将太阳能发电系统安装在 29 号公交车上，损失进一步减少了 0.3 kW。