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首页> 外文期刊>International journal of management science and engineering management >Application of flower pollination algorithm to multi-objective environmental/ economic dispatch
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Application of flower pollination algorithm to multi-objective environmental/ economic dispatch

机译：花粉授粉算法在多目标环境/经济调度中的应用

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摘要

Environmental/economic dispatch is a fundamental issue in power system operations as it deals with the scheduling of the generating output among available units for simultaneous minimization of fuel cost and emission output, two objectives that collide. Furthermore the violation of specific constraints must be avoided. In this paper, environmental/economic dispatch is solved applying a new meta-heuristic optimization method, namely flower pollination algorithm. The proposed method is inspired by the pollination process of flowering plants with LeVy flight to imitate the movement of insect pollinators. The multi-objective environmental/economic dispatch problem can be described by polynomial objective functions and converted into single-objective using weighted sum method that produces non-dominated solutions. The most satisfactory solution is chosen according to a decision maker that is based on fuzzy set theory. Effectiveness of the proposed approach is examined on two test systems. The first system comprises three generating units while the second one is a six-unit system. Numerical results obtained are compared to those obtained by other modern optimization methods. The proposed flower pollination algorithm seems to be a promised optimization technique as it provides fast and efficient solutions.
机译：环境/经济调度是电力系统运行中的一个基本问题，因为它涉及可利用单元之间的发电输出调度，以同时使燃料成本和排放输出最小化，这两个目标是相互冲突的。此外，必须避免违反特定约束。本文采用一种新的启发式优化方法，即花粉授粉算法，解决了环境/经济调度问题。所提出的方法是受开花植物通过LeVy飞行模仿昆虫授粉媒介运动的授粉过程启发的。可以用多项式目标函数描述多目标环境/经济调度问题，并使用加权和方法将其转换为单目标，从而产生非支配解。根据基于模糊集理论的决策者选择最满意的解决方案。在两个测试系统上检查了该方法的有效性。第一个系统包括三个发电单元，而第二个是六单元系统。将获得的数值结果与通过其他现代优化方法获得的数值结果进行比较。提出的花朵授粉算法似乎是一种有望实现的优化技术，因为它提供了快速有效的解决方案。

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