摘要
对并网运行模式下的某微网系统的日前优化调度方案进行了分析,该微网系统涉及主网、可再生能源、蓄电池及用户多个利益主体。该系统既可从主网获取电能,也可从系统内部的光伏阵列、风机及储能蓄电池获得电能。在主网与微网的交换功率约束、蓄电池充放电电量约束及充电次数等一系列约束条件下,以平均负荷供电成本最小为目标构建了3种优化调度对比模型,并借助MATLAB工具,分别采用原始-对偶算法、混合惩罚函数法、改进的遗传算法对3种调度方案模型进行了最优求解,以实现不同利益主体的合理利益分配,使系统综合效益最佳。最后通过某微网系统算例验证了模型的有效性和经济性。算例结果表明,充分利用蓄电池的调控作用,以及选择性地接纳可再生能源,并适度提高微网与主网之间的交换功率,可使微电网运行于最优经济状态。
The pre-optimized scheduling scheme of a micro-network system in the grid-connected operation mode was analyzed.The micro-network system involves multiple stakeholders,including the main network,renewable energy,storage batteries and users.The system could obtain electrical energy from the main network,as well as from the photovoltaic arrays,fans and energy storage batteries inside the system.Under the constraints of the exchange power constraint of the main network and the microgrid,the battery charge and discharge power constraints and the number of charging times,three optimization scheduling comparison models were constructed with the minimum load power supply cost as the target,and the MATLAB tools were used respectively.The original-dual algorithm,the mixed penalty function method and the improved genetic algorithm optimally solved the three scheduling scheme models to achieve the rational benefit distribution of different stakeholders,so that the system comprehensive benefits was optimal.Finally,the effectiveness and economy of the model was verified by a microgrid system.The simulation results showed that the full use of the regulation of the battery,and the selective acceptance of renewable energy,and moderately increased the exchange power between the micro-grid and the main network,could meet the optimal economic operation of the micro-grid.
作者
田昌
智李
任乔林
刘恒
赵吉祥
廖攀峰
肖洒
TIAN Chang;ZHI Li;REN Qiaolin;LIU Hen;ZHAO Jixiang;LIAO Panfeng;XIAO Sa(College of Electrical Engineering&New Energy,China Three Gorges University,Hubei Yichang 443000,China;State Grid Hubei Electric Power Company Xiaogan power supply company,Hubei Xiaogan 432000,China)
出处
《电工材料》
CAS
2020年第1期53-59,共7页
Electrical Engineering Materials
基金
三峡大学人才科研启动项目(KJ2014B011)
湖北省微电网工程技术研究中心开放基金(2016KDW10)
关键词
微电网
优化调度
不同主体
改进遗传算法
原始-对偶算法
可再生能源
micro-grid
optimized scheduling
different subjects
improved genetic algorithm
primitive-dual algorithm
renewable energy
