含CO_2排放和成本的多火电与风-水电的优化调度

Optimal dispatch for various types of thermal-and wind-hydro power with CO_2 emission and cost consideration

电力行业低碳化对实现节能减排具有重要意义。建立更接近于实际的电网模型,对其进行合理的规划和调度是电力系统实现节能减排的关键之一。由燃油、燃气和燃煤机组二氧化碳排放量及成本的差异,规划模型以总成本和二氧化碳排放量最小化为目标,建立了含火电、水电和风电机组的电网模型。采用改进的混合粒子群算法对电网进行优化调度,并以118节点系统对模型和算法进行验证和比较。结果表明:利用所建模型可有效提高运行成本和碳排放的计算精度,为电网的合理规划和经济调度提供了参考依据。

Low-carbon emission of the power industries is of great importance to realizing energy saving and emission reduction. Developing a grid model closer to the reality and implementing a reasonable plan and dispatch holds a key to achieving energy saving and emission reduction. This paper,building on a fuller consideration of the differences in CO2 emissions and costs associated with oil,gas and coal-fired power units and motivated by the minimization of total costs and CO2 emissions in the day-ahead programming model is focused specifically on developing grid model involving wind,hydro and thermal power units,implementing an optimal dispatch of the power grid using the improved hybrid particle swarm optimization algorithm,and validating and comparing the model and algorithms by employing 118-node system.The results demonstrate that the proposed model capable of an effective increase in the calculation accuracy of total cost and CO2 emissions could provide a reference for a more rational planning and an more economic dispatch of grids.