With the increase in the proportion of clean energy connected to the grid, the effective coordination of the operation of various energy power has become a new challenge facing the current power system scheduling. The coordinated operation of the clean energy power generation system can alleviate the contradiction between power generation and output power fluctuations and overcome the bottleneck of new energy development. Considering the natural characteristics of clean energy, this paper aims to make full use of clean energy, reduce system operating costs, increase system power generation, and reduce output fluctuations; we establish a multiobjective optimization model for coordinated scheduling of clean energy power systems. The model seeks to maximize power generation and minimize output fluctuations, power purchase costs, and maintenance costs under the constraints of the grid structure. In this paper, the joint algorithm has an accelerated effect on the target optimization calculation, and then the superiority of the algorithm is verified by the standard system. The standard IEEE39 node test system is used to verify the rationality and feasibility of the model built and provides a reference strategy for the coordinated operation mechanism of the clean energy system. According to the model, in the example in this paper, the maximum value of photovoltaic power prediction is 1290 MW, and the minimum value is 210 MW; the maximum value of wind power prediction is 780 MW, and the minimum value is 28 MW; the minimum cost of power purchase and maintenance is 56,950.395; the maximum generating capacity is 5.045 GW; the minimum output fluctuation is 0.120 GW.

中文翻译：

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基于多目标优化模型的清洁能源系统协调运行分析

随着并网清洁能源比例的增加，有效协调各种能源电力的运行已成为当前电力系统调度面临的新挑战。清洁能源发电系统的协调运行，可以缓解发电与输出功率波动之间的矛盾，克服新能源发展的瓶颈。考虑到清洁能源的自然特性，本文旨在充分利用清洁能源，降低系统运营成本，增加系统发电量，并减少输出波动。我们建立了清洁能源电力系统协调调度的多目标优化模型。该模型旨在最大限度地提高发电量，并最大程度地减少输出波动，购电成本，和维护成本在网格结构的约束下。在本文中，联合算法对目标优化计算有加速作用，然后由标准系统验证了算法的优越性。标准的IEEE39节点测试系统用于验证所建立模型的合理性和可行性，并为清洁能源系统的协调运行机制提供参考策略。根据该模型，在本文的示例中，光伏功率预测的最大值为1290 MW，最小值为210 MW。风电预测的最大值为780 MW，最小值为28 MW。电力购买和维护的最低成本为56,950.395；最大发电量为5.045 GW；最小输出波动为0.120 GW。