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Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction

机译：微电网能源管理系统利用优化算法实现成本节约算法的调度控制器

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This study deals with the development of an optimal power scheduling controller for energy management of distributed energy resources in the microgrid system. The developed optimized controller is implemented using lightning search algorithm to overcome the uncertainties of microgrid energy management and to provide an optimum power delivery to loads with minimum cost. The primary objectives of the proposed optimized controller are to: (i) develop an optimized controller for microgrids energy management, (ii) minimize the total operating cost of the distributed energy resources units, (iii) reduce the environmental emission, and (iv) solve the complicated constraint optimization problems. The proposed optimization algorithm is implemented in the modified IEEE 14-bus test system to optimize the microgrid power management schedule. The optimized controller is executed based on the real load varying conditions recorded in Perlis, Malaysia. It is observed that the optimized controller successfully reduced the amount of power consumption from 971.65 MW to 364.3 MW which in turn saving cost of RM 265432.06. The proposed scheduling optimized controller performance is compared with the recent reported work of backtracking search algorithm optimization for validation. Result shows that the lightning search algorithm based MG controller produced a cost-effective system with 62.5% of cost saving and 61.98% of carbon dioxide emission reduction which is much higher compared to with MG and backtracking search algorithm based MG optimization, respectively. The effectiveness of the proposed approach outperformed other techniques in terms of minimum total operating cost of distributed energy resources and solving complicated constraints in optimization problems.
机译：本研究涉及开发用于微电网系统中分布式能源的能量管理的最佳功率调度控制器。开发的优化控制器是使用闪电搜索算法实现的，以克服微电网能量管理的不确定性，并提供最佳的电力输送，以最小的成本负载。所提出的优化控制器的主要目标是：（i）开发用于微电网能源管理的优化控制器，（ii）最大限度地减少分布式能源单元的总运营成本，（iii）减少环境排放，（iv）解决复杂的约束优化问题。所提出的优化算法在修改的IEEE 14总线测试系统中实现，以优化MicroGrid电源管理计划。优化控制器基于在马来西亚Perlis中记录的实际负载变化条件执行。观察到优化控制器从971.65 MW成功降低了364.3 MW的功耗量，从而节省了265432.06的成本。将建议的调度优化控制器性能与最近报告的回溯搜索算法优化进行验证进行了比较。结果表明，基于闪电搜索算法的MG控制器产生了成本有效的系统，其节省成本的62.5％，占二氧化碳排放减少的61.98％，与MG基于基于MG优化的MG优化相比，高得多。拟议方法的有效性在最低分布能源的最小总运营成本和解决优化问题中的复杂约束方面表现出其他技术。

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