光储联合发电系统输出功率平滑策略研究
发布时间：2018-11-28 20:21
【摘要】：为缓解能源短缺和环境污染问题,以光伏为代表的新能源发电技术得到了快速发展。虽然光伏发电技术已经相对成熟,但是由于受温度和光照强度变化的影响,光伏发电功率仍存在一定的波动性和随机性。为解决光伏电站输出功率具有波动性问题,本文从弃光角度出发,开展了光储联合发电系统输出功率平滑策略研究,具体研究内容如下:首先,在分析光伏发电原理的基础之上,从电路模型和工程模型两个角度出发,分别给出了不同光照强度和温度下光伏电池模型建立方法。基于光伏电站运行历史数据,开展光伏电站输出功率波动分析。针对光伏电站输出功率波动率指标,研究了光伏电站输出功率波动率分布,分析了光伏电站弃光原因。其次,在分析电化学储能、抽水蓄能、超级电容储能的充放电原理和储能电站内部构成的基础上,以应用范围最广的锂离子电池为研究对象,研究内阻模型、戴维南模型和PNGV模型。考虑储能系统荷电状态、充放电功率和储能系统容量等参数,结合安时计量法,提出了储能系统仿真应用模型,并针对此模型建立相应约束条件。从新能源发电、电网安全运行、分布式发电及微网等角度分析得出储能系统运行指标,作为光储联合发电系统输出功率平滑策略的制定依据。再次,开展储能电站站内控制研究,提出了考虑区域自治的储能电站功率协调控制策略。策略提出了储能电站分区方法,设计了储能子站代理模型,确定考虑自治控制的电池储能电站功率求解方法,为光储联合发电系统输出功率平滑策略的制定提供理论支撑。最后,为同时解决光伏电站输出功率波动率大和弃光两个问题,建立了考虑弃光的光储联合发电系统输出功率平滑策略。参考国家标准制定了弃光规则,建立了计及弃光的光储联合电站输出功率控制目标函数。根据前一时间段历史光储联合输出功率对当前光伏输出功率预测值进行划分,确定光伏正常发电区间与弃光区间,并给出各区间内储能系统输出功率范围。基于建立的目标函数采用遗传算法对储能系统输出功率进行优化,确定优化后的储能系统输出功率。仿真结果表明:优化后的储能系统输出功率配合当前时刻光伏输出功率,不仅能够平滑光储联合电站输出功率,而且在弃光方面比原有控制策略更加有效。
[Abstract]:In order to alleviate the problem of energy shortage and environmental pollution, new energy generation technology, represented by photovoltaic, has been developed rapidly. Although photovoltaic power generation technology is relatively mature, due to the influence of temperature and light intensity, photovoltaic power still has some volatility and randomness. In order to solve the problem of the fluctuation of output power in photovoltaic power plant, this paper studies the output power smoothing strategy of optical storage combined generation system from the perspective of light abandonment. The specific research contents are as follows: first, On the basis of analyzing the principle of photovoltaic power generation, the methods of building photovoltaic cell model under different light intensity and temperature are given from the view of circuit model and engineering model. Based on the operating history data of photovoltaic power station, the fluctuation analysis of output power of photovoltaic power station is carried out. According to the fluctuation index of output power of photovoltaic power station, the fluctuation distribution of output power of photovoltaic power station is studied, and the reason of light abandonment is analyzed. Secondly, on the basis of analyzing the charging and discharging principle of electrochemical energy storage, pumped storage, super capacitor energy storage and the internal composition of energy storage power station, the internal resistance model of lithium ion battery, which has the most extensive application, is studied. Davinan model and PNGV model. Considering the parameters of energy storage system, such as charge state, charge / discharge power and energy storage system capacity, combined with amperometric method, a simulation application model of energy storage system is proposed, and the corresponding constraints are established for the model. From the aspects of new energy generation, safe operation of power grid, distributed generation and microgrid, the operating index of energy storage system is obtained, which can be used as the basis for formulating the output power smoothing strategy of optical storage combined generation system. Thirdly, the research on in-station control of energy storage power station is carried out, and the coordinated power control strategy of energy storage power station considering regional autonomy is put forward. In this paper, the partition method of energy storage power station is put forward, the proxy model of energy storage sub-station is designed, and the power solution method of battery energy storage power station considering autonomous control is determined, which provides theoretical support for the formulation of smooth output power strategy of optical storage combined generation system. Finally, in order to solve the two problems of high output power fluctuation and light abandonment simultaneously, the output power smoothing strategy of optical storage combined generation system with light loss is proposed. With reference to the national standard, the rule of light rejection is formulated, and the output power control objective function of the combined optical storage and storage power station is established. According to the historical light storage combined output power in the previous period, the prediction value of the current photovoltaic output power is divided, and the range of the output power of the energy storage system in each region is given. Based on the established objective function, the output power of the energy storage system is optimized by genetic algorithm, and the optimized output power of the energy storage system is determined. The simulation results show that the output power of the optimized energy storage system can not only smooth the output power of the combined optical storage power station, but also be more effective than the original control strategy.
【学位授予单位】：东北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM619
[Abstract]:In order to alleviate the problem of energy shortage and environmental pollution, new energy generation technology, represented by photovoltaic, has been developed rapidly. Although photovoltaic power generation technology is relatively mature, due to the influence of temperature and light intensity, photovoltaic power still has some volatility and randomness. In order to solve the problem of the fluctuation of output power in photovoltaic power plant, this paper studies the output power smoothing strategy of optical storage combined generation system from the perspective of light abandonment. The specific research contents are as follows: first, On the basis of analyzing the principle of photovoltaic power generation, the methods of building photovoltaic cell model under different light intensity and temperature are given from the view of circuit model and engineering model. Based on the operating history data of photovoltaic power station, the fluctuation analysis of output power of photovoltaic power station is carried out. According to the fluctuation index of output power of photovoltaic power station, the fluctuation distribution of output power of photovoltaic power station is studied, and the reason of light abandonment is analyzed. Secondly, on the basis of analyzing the charging and discharging principle of electrochemical energy storage, pumped storage, super capacitor energy storage and the internal composition of energy storage power station, the internal resistance model of lithium ion battery, which has the most extensive application, is studied. Davinan model and PNGV model. Considering the parameters of energy storage system, such as charge state, charge / discharge power and energy storage system capacity, combined with amperometric method, a simulation application model of energy storage system is proposed, and the corresponding constraints are established for the model. From the aspects of new energy generation, safe operation of power grid, distributed generation and microgrid, the operating index of energy storage system is obtained, which can be used as the basis for formulating the output power smoothing strategy of optical storage combined generation system. Thirdly, the research on in-station control of energy storage power station is carried out, and the coordinated power control strategy of energy storage power station considering regional autonomy is put forward. In this paper, the partition method of energy storage power station is put forward, the proxy model of energy storage sub-station is designed, and the power solution method of battery energy storage power station considering autonomous control is determined, which provides theoretical support for the formulation of smooth output power strategy of optical storage combined generation system. Finally, in order to solve the two problems of high output power fluctuation and light abandonment simultaneously, the output power smoothing strategy of optical storage combined generation system with light loss is proposed. With reference to the national standard, the rule of light rejection is formulated, and the output power control objective function of the combined optical storage and storage power station is established. According to the historical light storage combined output power in the previous period, the prediction value of the current photovoltaic output power is divided, and the range of the output power of the energy storage system in each region is given. Based on the established objective function, the output power of the energy storage system is optimized by genetic algorithm, and the optimized output power of the energy storage system is determined. The simulation results show that the output power of the optimized energy storage system can not only smooth the output power of the combined optical storage power station, but also be more effective than the original control strategy.
【学位授予单位】：东北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM619
【参考文献】
相关期刊论文 前10条
1 姜晓亮;李巍;吕项羽;高玉波;韩晓娟;籍天明;;基于非参数核密度估计法的光储系统容量优化配置[J];高电压技术;2015年07期
2 叶小晖;刘涛;吴国e，
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