考虑分时电价的风光储联合优化调度研究  

Research on wind-solar-battery hybrid optimization based on TOU electricity price

作　　者：杨晓萍[1] 刘浩杰[1] 黄强[1] 

机构地区：[1]西安理工大学水利水电学院,陕西西安710048

出　　处：《西安理工大学学报》2016年第4期403-409,共7页Journal of Xi'an University of Technology

基　　金：国家自然科学基金资助项目(50779053)

摘　　要：针对大规模风电和光伏发电对电网调度带来的负面影响,利用钠硫电池储能系统,综合考虑峰谷分时电价政策和减少弃风弃光等各方面因素,提出了一种基于日前负荷、风电、光伏发电出力预测,以钠硫电池为辅助设备的风光储联合申报计划出力新模式。以风光储联合系统总体收益最大化和净负荷方差最小作为目标,考虑钠硫电池储能系统的充放电次数约束和风光实时出力偏移风光联合申报计划出力限制,建立了电网短期优化调度模型,并采用多目标粒子群算法求解所建模型。通过算例分析,验证了所建模型的可行性和风光储联合系统在提高清洁能源消纳和平滑净负荷曲线方面的有效性。Aiming at the negative impact of large-scale wind power and photovoltaic power generation on power grid dispatching,combined with the Na/S battery storage system,the TOU electricity price policy as well as the reduction of abandoned light and wind and other factors are taken into consideration,with a new based on load,wind power,photovoltaic power generation output forecast and the Na/S battery storage system as auxiliary equipment wind-solar-battery hybrid declaration planning mode proposed.The maximum revenue of wind-solar-battery hybrid system and the minimum net load are set as objectives,the constraint of the Na/S battery storage system charge and discharge times and the deviation of wind-solar-battery hybrid system output from the planning power output constraint are considered in the paper,a 96-period all-day optimal dispatching model is established,multi-objective particle swarm algorithm are adopted to solve the model,the validity of the model and the feasibility of wind-solar-battery hybrid system which can improve the clean energy use,and Net load curve smoothing is verified by an example.

关 键 词：风电 光伏发电 钠硫电池电站 计划出力 多目标粒子群算法 净负荷曲线 

分 类 号：TM734[电气工程—电力系统及自动化]