一种基于跟踪计划的风光储联合发电系统储能控制策略研究
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摘要
风光储联合发电系统能够充分发挥风光出力具有的天然互补特性,同时配合科学合理的储能系统控制策略,大大提高风光输出有功功率的可靠性。为了充分发挥储能系统调节风光输出有功功率的作用,提高输出的可靠性,研究了风光储联合发电系统工作在跟踪计划模式下的储能控制策略。根据风光预测功率的误差分布特性,基于一定置信度水平求解风光可信功率,提出一种以计划功率曲线和风光储合成功率曲线改进余弦相似度最大、优化末期储能系统荷电状态最优为目标的效用最优模型,利用相关算法对模型进行求解并通过仿真计算,验证了模型的有效性。
The wind solar and storage joint power generation system can give full play to the natural complementary characteristics of the wind and solar power,and in the same time with the scientific and reasonable control strategy of the energy storage system,the reliability of the active power of the wind and solar output is greatly improved.In order to give full play to the function of the energy storage system,which can be used to adjust the active power of wind and solar output and improve the reliability of its output,the energy storage control strategy of the wind and solar joint power generation system was discussed,which is working under the tracking plan mode.Based on the error distribution characteristic of power of the wind and solar prediction,and based on a set reliability level to solve the reliable power of the wind and solar,a utility optimal model was proposed,which aims at improving the cosine similarity with the planned power curve and the success rate curve of the wind solar energy storage joint power.The model was solved by the correlation algorithm and the simulation results are used to verify the effectiveness of the model.
The wind solar and storage joint power generation system can give full play to the natural complementary characteristics of the wind and solar power,and in the same time with the scientific and reasonable control strategy of the energy storage system,the reliability of the active power of the wind and solar output is greatly improved.In order to give full play to the function of the energy storage system,which can be used to adjust the active power of wind and solar output and improve the reliability of its output,the energy storage control strategy of the wind and solar joint power generation system was discussed,which is working under the tracking plan mode.Based on the error distribution characteristic of power of the wind and solar prediction,and based on a set reliability level to solve the reliable power of the wind and solar,a utility optimal model was proposed,which aims at improving the cosine similarity with the planned power curve and the success rate curve of the wind solar energy storage joint power.The model was solved by the correlation algorithm and the simulation results are used to verify the effectiveness of the model.
引文
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[2] PARISIOA A,RIKOSE E,TZAMALISG G,et al.Use of model predictive control for experimental microgrid optimization[J].Applied Energy,2014,115(4):37-46.
[3] 施琳,罗毅,涂光瑜,等.考虑风电场可调度性的储能容量配置方法[J].电工技术学报,2013,28(5):120-127.
[4] 国家电网公司.风电场接入电网技术规定[S].2015.
[5] IEEE standard for interconnecting distributed resources with electric power systems amendment 1:IEEE Std 1547a-2014[S].
[6] 丁明,徐宁舟,毕锐.用于平抑可再生能源功率波动的储能电站建模及评价[J].电力系统自动化,2011,35(2):66-72.
[7] 丁华杰,宋永华,胡泽春,等.基于风电场功率特性的日前风电预测误差概率分布研究[J].中国电机工程学报,2013,33(34):136-145.
[8] 张程熠,唐雅洁,李永杰,等.适用于小样本的神经网络光伏预测方法[J].电力自动化设备,2017,37(1):101-107.
[9] RUEY-HSUN L,LIAO J.A fuzzy optimization approach for generation scheduling with wind and solar energy systems[J].IEEE Transactions on Power Systems.2007,22(4):1665-1674.
[10] 刘芳,潘毅,刘辉,等.风电功率预测误差分段指数分布模型[J].电力系统自动化,2013,37(18):14-19.
[11] 李群,张刘冬,殷明慧,等.基于模糊决策方法的含风电场电力系统机组组合[J].电网技术,2013,37(9):2480-2485.
[12] 赵书强,刘晨亮,王明雨,等.基于机会约束规划的储能日前优化调度[J].电网技术,2013,37(11):3055-3059.
[13] 赵书强,刘大正,谢宇琪,等.基于相关机会目标规划的风光储联合发电系统储能调度策略[J].电力系统自动化,2015,39(14):30-37.
[14] 胡永强,刘晨亮,赵书强,等.基于模糊相关机会规划的储能优化控制[J].电力系统自动化,2014,38(6):20-25.
[15] 李丽,牛奔.粒子群优化算法[M].北京:冶金工业出版社,2010.