Distributed energy resource (DER) in microgrid has emerged significant challenges in the existing centralized energy management systems. This is due to the stochastic energy sources integrated into microgrid and dynamic power demand that has brought difficulties in controlling the optimal output power. An inefficient and without optimally controlled DERs and charge/discharge of energy storage system results in high operating cost to consumers as well as decrease a lifetime of energy storage based microgrid. Therefore, to solve the issues, a day-ahead optimized scheduling controller-based novel lightning search algorithm (LSA) technique is introduced to provide an optimum power delivery with minimum cost including optimum use of energy storage. The main objective of the proposed controller is to develop an optimized controller for the microgrid to minimize the operating cost of DER and optimal operation of charge/discharge of the energy storage system. The optimized controller's effectiveness is executed in a 14-bus test system based on a real load varying conditions recorded in Perlis, Malaysia for 24-hours’ operation. The obtained results show that the performance of the optimized controller for energy storage-based microgrid successfully reduced the amount of power consumption which in turn saving the energy and cost of 62.5%. The proposed day-ahead optimized scheduling controller outperforms the backtracking search algorithm and particle swarm optimization techniques in terms of iteration (53.56) and time consumption (2915.2 min) which in turn validate the controller performance. Thus, the developed optimized controller can realize the effectiveness of energy storage integrated MG energy management with the optimum operation of DER units.

微电网中的分布式能源（DER）对现有的集中式能源管理系统提出了重大挑战。这是由于集成到微电网中的随机能源和动态电力需求给控制最佳输出功率带来了困难。低效且没有最佳控制的 DER 和储能系统的充电/放电会导致消费者的高运营成本，并缩短基于储能的微电网的使用寿命。因此，为了解决这些问题，引入了基于日前优化调度控制器的新型闪电搜索算法 (LSA) 技术，以提供包括优化使用能量存储在内的最低成本的最佳电力输送。所提出控制器的主要目标是为微电网开发优化控制器，以最大限度地降低 DER 的运行成本和储能系统充放电的最佳运行。根据在马来西亚玻璃市记录的 24 小时运行的真实负载变化条件，在 14 总线测试系统中执行优化控制器的有效性。所得结果表明，优化后的储能微电网控制器的性能成功降低了电能消耗量，从而节省了62.5%的能源和成本。所提出的日前优化调度控制器在迭代 (53.56) 和时间消耗 (2915.2 分钟) 方面优于回溯搜索算法和粒子群优化技术，从而验证了控制器的性能。