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Integration of solar energy and optimized economic dispatch using genetic algorithm: A case-study of Abu Dhabi

机译:利用遗传算法整合太阳能和优化经济调度:以阿布扎比为例

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The United Arab Emirates is focusing on cultivating Renewable Energy (RE) to meet its growing power demand. This also brings power planning to the forefront in regards to keen interests in renewable constrained economic dispatch. This paper takes note of UAE's vision in incorporating a better energy mix of Renewable Energy (RE), nuclear, hybrid system along with the existing power plants mostly utilizing natural gas; with further attention for a sound economic dispatch scenario. The paper describes economic dispatch and delves into the usage of Genetic Algorithm to optimize the proposed system of thermal plants and solar systems. The paper explains the problem formulation, describes the system used, and illustrates the results achieved. The aim of the research is in line with the objective function to minimize the total costs of production and to serve the purpose of integrating renewable energy into the traditional power production in UAE. The generation mix scenarios are assessed using genetic algorithm using MATLAB simulation for the optimization problem.
机译:阿拉伯联合酋长国致力于培养可再生能源(RE),以满足其不断增长的电力需求。在对可再生约束经济调度的浓厚兴趣方面,这也使电力规划走在了最前列。本文注意到阿联酋的愿景,即将更好的可再生能源(RE),核能,混合动力系统与现有主要利用天然气的发电厂结合起来;进一步注意合理的经济调度方案。本文描述了经济调度,并深入研究了遗传算法的使用,以优化拟议的火力发电厂和太阳能系统。该论文解释了问题的表述,描述了所使用的系统,并说明了所获得的结果。该研究的目的与目标功能相一致,该目标功能是将生产的总成本降至最低,并达到将可再生能源整合到阿联酋传统电力生产中的目的。使用遗传算法,使用MATLAB仿真对优化问题进行评估,评估发电混合方案。

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