基于改进遗传算法的电力调度辅助决策模型
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An Auxiliary Decision Model for Power Dispatching Based on Improved Genetic Algorithm
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    摘要:

    为改善现有混合配电网调度方法未同时考虑碳价格波动和风电不确定性等问题,提出一种基于改进遗传算法的电力调度辅助决策模型。考虑风电不确定性和发电碳排放对风电集成系统中功率平衡的影响,建立电力调度成本和碳排放目标函数以及功率输出约束、功率平衡约束、发电机组爬坡率约束函数;应用决策空间降维、初始化种群和基因操作等策略,提高算法执行效率及模型鲁棒性;以IEEE 33节点测试馈线系统对所提电力调度模型进行了分析和验证。结果表明:当碳价格从低变化到高时,碳排放总量分别减少0.029%和0.197%,总发电成本分别增加0.003%和0.055%。模型为电力调度辅助决策发展提供了一定借鉴作用。

    Abstract:

    In order to solve the problem that the existing dispatching method of hybrid distribution network does not consider the fluctuation of carbon price and the uncertainty of wind power at the same time, a power dispatching assistant decision-making model based on improved genetic algorithm is proposed. Considering the influence of wind power uncertainty and power generation carbon emission on power balance in a wind power integration system, establishing a power dispatching cost and carbon emission objective function and power output constraint, power balance constraint and generating set ramp rate constraint function; The proposed power dispatching model is analyzed and verified with IEEE 33-bus test feeder system. The results show that when the carbon price changes from low to high, the total carbon emissions decrease by 0. 029% and 0. 197%, respectively, and the total power generation cost increases by 0. 003% and 0. 055%, respectively. The model provides a reference for the development of power dispatching assistant decision.

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肖辅盛.基于改进遗传算法的电力调度辅助决策模型[J].,2024,43(12).

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  • 收稿日期:2024-06-23
  • 最后修改日期:2024-07-24
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  • 在线发布日期: 2024-12-30
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