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Research on optimisation of integrated energy system scheduling based on weak robust optimisation theory

机译:基于弱鲁棒优化理论的综合能源系统调度优化研究

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This study establishes a multi-objective model for comprehensive energy system scheduling optimisation with wind farms, combined heat and power units, power to gas technology, circulating fluidised bed boilers and gas boilers. The goal is to minimise the operating costs and minimise the discharge of pollutants while meeting the constraints of the material balance of the circulating fluidised bed boiler. The improved weak robust optimisation theory is used to deal with the uncertainty of wind power, and the weak robust coefficient is introduced. By adjusting the coefficient, the optimal solution under the different tolerances of the deterioration of the objective function is obtained. The improved bacterial population chemotaxis algorithm is used to optimise the comprehensive energy system scheduling model, and a feasible solution with certain robustness is obtained. Sensitivity analysis under different risk levels is done. The simulation verifies the correctness and effectiveness of the optimised scheduling model and the improved algorithm.
机译:这项研究建立了一个多目标模型,用于风电场,热电联产,发电技术,循环流化床锅炉和燃气锅炉的能源系统综合调度优化。目的是在满足循环流化床锅炉物料平衡的约束的同时,将运营成本降至最低,并将污染物排放降至最低。运用改进的弱鲁棒优化理论处理风电的不确定性,并介绍了弱鲁棒系数。通过调整系数,可以得到在目标函数恶化的不同容限下的最优解。采用改进的细菌群体趋化性算法对能源系统综合调度模型进行优化,得到了具有一定鲁棒性的可行解。进行了不同风险等级下的敏感性分析。仿真结果验证了优化调度模型和改进算法的正确性和有效性。

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