基于改进萤火虫算法的含风电系统环境经济调度

Environmental economic dispatch of power system integrated with wind power based on an improved glowworm swarm optimization

人们对环境保护意识的提高以及风电渗透率的不断攀升,使得电力部门对含风电系统的调度提出更高要求。为了在降低碳排放量及促进风电消纳的同时将发电成本控制在最低,该文建立考虑环境与经济指标的含风电系统环境经济调度模型,模型中的目标函数考虑火力发电成本、旋转备用成本、碳排放权交易成本、风力发电成本及弃风惩罚成本。针对传统萤火虫算法寻优过程中易出现的振荡问题,该文提出一种变步长萤火虫算法对模型进行求解。结合修改后的IEEE 39节点算例进行仿真分析,仿真结果验证了所提模型的可行性以及变步长萤火虫算法求解此类问题的有效性。

As the increasing awareness of environmental protection for people and the rising penetration ratio of wind power,power sectors have put forward higher requirements for the dispatch of power system integrated with wind power.In order to reduce the carbon emissions and promote wind power consumption while minimizing power generation costs,this paper firstly establishes an environmental economic dispatch model of power system integrated with wind power considering environmental and economic indicators.The objective function in the model considers the cost of thermal power generation,the cost of rotating spares,the trading mechanism of carbon emission rights,the cost of wind power and the cost of discarding wind.Aiming at the oscillation problem that is common to occur in the traditional firefly algorithm optimization process,a variable step glowworm swarm optimization is proposed to solve the model.Then,this paper carries out the simulation of the modified IEEE 39-bus to verify the feasibility of the proposed model and the effectiveness of the algorithm.The results verify the feasibility of the proposed model and the effectiveness of the variable step glowworm swarm optimization to solve environmental economic dispatch problems.