考虑大规模风电接入系统的发电优化调度模型及方法研究
发布时间：2018-12-10 19:23
【摘要】：风电等可再生能源的大力发展有利于实现我国能源结构优化调整,促进电力系统的节能减排,然而风电的波动性、不确定性和逆调峰性也给系统的安全稳定运行带来了诸多问题。本文考虑风电对于系统AGC备用、旋转备用和调峰的影响,对大规模风电并网条件下的发电调度优化模型及方法进行了系统和深入的研究。 针对风电并网导致系统AGC备用需求增加的问题,提出了风电并网引发的AGC备用需求预测方法。采用极大熵谱分析法对风电的波动性进行了频谱分析,并运用滚动平均法对关键时间尺度的风功率波动分量进行分离,结合实际算例数据对风电的AGC容量需求进行了计算和分析。为充分发挥风电并网条件下各类电源提供AGC的自身优势,进一步促进网内AGC机组之间的充分竞争,本文结合AGC机组调节性能指标,提出了考虑风电接入系统的AGC备用容量优化调度方法；以电能量成本和AGC备用容量成本最小为目标函数,兼顾AGC调节速度、AGC调节容量和AGC调节范围约束,建立了考虑风电接入系统的AGC备用优化调度模型。算例分析表明,所提模型和方法能够量化分析风电并网引发的AGC备用容量需求,优先调用AGC调节性能优良的机组,充分发挥水电、火电等不同电源提供AGC服务的自身优势。 针对风电出力不确定性和系统N-1故障对于系统旋转备用容量优化分配的影响,提出了考虑风电和负荷波动及系统N-1故障的旋转备用优化调度方法。基于负荷和间歇式电源功率的预测误差分布,确定合理的区间数,采用区间数优化方法建立表述风电出力与负荷不确定性的数学模型。在对不确定性场景进行筛选的基础上,综合考虑线路传输容量约束、故障场景下的网络拓扑结构变化、连续波动场景与瞬时离散故障场景下的爬坡约束,建立了考虑多场景的旋转备用容量和发电出力计划一体化优化调度模型；并针对模型的复杂性,采用Benders分解降低模型的求解规模。算例分析表明本文方法能够将机组组合方案与旋转备用容量计划进行协调同步优化,保障了系统在各预想场景下的自愈校正能力。 采用概率性方法处理风电出力和系统N-1故障的不确定性问题；基于风电的预测出力与预测误差分布,运用拉丁超立方抽样法生成风电场景,并运用同步回代法对场景进行削减。采用马尔科夫链预测未来时段机组和线路的N-1故障状态概率。在此基础上,兼顾机组组合、机组经济功率分配以及AGC备用和旋转备用容量分层协调优化配置等问题,建立了考虑风电与储能系统的随机柔性优化调度模型。所提模型及方法综合考虑了系统N-1故障和风电出力的不确定性概率与严重性、系统AGC备用与旋转备用容量辅助服务成本、储能装置剩余可充放电能力以及网络约束的影响。针对该模型的复杂性,将其线性化后采用商用混合整数线性规划求解器CPLEX进行求解。算例分析表明,所提方法可将系统AGC备用容量与旋转备用容量分层协调的配置到各个机组,能够考虑间歇式电源不同时间尺度的波动性和不确定性对于系统的影响,充分发挥了储能柔性灵活的优势。 在我国,大规模风电并网引发了系统调峰困难和弃风问题,本文提出了促进风电跨省消纳的解决方案和促进风电就地消纳的风储联合运行模式。针对本文所提调节市场的平衡调节相对偏差量最小调度模式,建立了相应的优化调度模型,实例分析验证了本文所提模型的适用性和有效性。针对如何调用储能装置促进风电消纳的问题,本文分析了不同储能容量场景和不同风电渗透率场景下的风电接纳能力及系统经济性,提出了风电经济接纳和风电最大接纳两种调度模式,建立了相应的混合整数线性规划模型。算例分析表明,风电经济接纳模式下储能系统能够更加柔性灵活地平衡调峰和弃风的矛盾,系统能耗更低。 论文提出的考虑风电接入系统的发电调度优化模型和促进风电消纳的调度模式,不仅具有学术价值,而且对于提高电力系统的安全经济运行和促进可再生能源的健康发展具有一定的现实意义。
[Abstract]:The development of the renewable energy, such as wind power, is beneficial to the optimization and adjustment of the energy structure of our country, and promotes the energy-saving and emission reduction of the power system. However, the fluctuation, uncertainty and inverse peak-regulation of the wind power bring many problems to the safe and stable operation of the system. In this paper, the influence of wind power on the backup, rotation and peak regulation of the system AGC is considered, and the optimization model and method of power generation scheduling under the condition of large-scale wind power and grid are systematically and deeply studied. Aiming at the problem of increasing the standby demand of the system AGC for the wind power grid, the AGC standby demand forecast party caused by the wind power grid is put forward In this paper, the fluctuation of wind power is analyzed by the maximum entropy spectral analysis method, and the wind power fluctuation component of the critical time scale is separated by the rolling average method, and the AGC capacity requirement of the wind power is calculated and divided according to the actual calculation example data. In order to give full play to the self advantage of AGC of various power sources under wind power and grid conditions, the full competition among AGC units in the network is further promoted. In this paper, the AGC spare capacity of the wind power access system is considered to optimize the dispatching party in combination with the regulation performance index of the AGC unit. The method includes the following steps: taking the minimum cost of the electric energy and the spare capacity of the AGC as a target function, taking into account the AGC adjusting speed, the AGC adjusting capacity and the AGC adjusting range constraint, and establishing an AGC standby optimized dispatching mode considering the wind power access system; The results show that the proposed model and method can quantitatively analyze the demand of AGC standby capacity caused by wind power and network, and give priority to the unit with excellent AGC regulation performance, and give full play to the self-optimization of AGC service by different power sources such as hydropower and thermal power. Potential. In view of the influence of wind power output uncertainty and system N-1 fault on the optimal allocation of system rotation reserve capacity, a rotary spare optimization adjustment considering wind power and load fluctuation and system N-1 fault is put forward. The method comprises the following steps of: determining a reasonable interval number based on the prediction error distribution of the load and the intermittent power supply power, and establishing the number of the expression wind power output and the load uncertainty by using the interval number optimization method; On the basis of screening the uncertain scene, considering the line transmission capacity constraint, the network topology change under the fault scenario, the continuous fluctuation scene and the creep under the scene of the instantaneous discrete fault Based on the slope constraint, the integrated optimal scheduling model for multi-scene rotation reserve capacity and power generation output plan is established, and the model is reduced by the Benders decomposition for the complexity of the model. The analysis shows that the method can coordinate and optimize the unit combination scheme and the rotating spare capacity plan, so as to guarantee the self-healing of the system under each expected scene. The positive ability. The probabilistic method is used to deal with the uncertainty of wind power output and system N-1 fault; based on the predicted output and prediction error distribution of wind power, the wind power scene is generated by using the Latin hypercube sampling method, and the field is applied to the field by using the synchronous generation method The view is cut. The Markov chain is used to predict the N-1 of the unit and line in the future. On the basis of this, the problems such as the combination of the unit, the allocation of the unit's economic power and the optimal configuration of the AGC spare and rotary spare capacity are considered, and the random flexibility of the wind power and energy storage system is established. the model and the method of the invention comprehensively consider the uncertainty probability and the severity of the system N-1 fault and the wind power output, the auxiliary service cost of the system AGC standby and the rotary spare capacity, the residual charge and discharge capacity of the energy storage device and the network, The influence of the constraint is the complexity of the model, and the linear linear programming solver (CPLE) is used to linearize the model. The results show that the proposed method can combine the spare capacity of the system AGC with the rotating standby capacity in a hierarchical and coordinated manner to each unit, and can consider the influence of the volatility and uncertainty of the intermittent power supply on the system, and give full play to the energy storage flexibility. Flexible advantages. In our country, large-scale wind power grid has caused the system peak-regulation difficulty and the wind-off problem. In this paper, the solution to promote the wind power cross-province and the wind to promote the local wind power generation in the wind power system are put forward. In this paper, a corresponding optimal scheduling model is established for the minimum dispatching mode of the relative deviation of the balance adjustment of the adjustment market presented in this paper. The example analysis verifies the model proposed in this paper. The applicability and validity of the wind power generation system are analyzed in this paper. The wind power receiving capacity and the system economy under different energy storage capacity scenarios and different wind power permeability scenarios are analyzed, and the maximum connection of wind power economy and wind power is proposed. The two kinds of dispatching modes are set up, and the corresponding mixing is established. The results show that the energy storage system can be more flexible and flexible to balance the contradiction between the peak load regulation and the waste wind. In this paper, the power generation scheduling optimization model of the wind power access system and the dispatching model for wind power generation are considered, not only have the academic value, but also to improve the safe and economic operation of the power system and promote the healthy development of the renewable energy
【学位授予单位】：华北电力大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：TM614;TM73
本文编号：2371076
[Abstract]:The development of the renewable energy, such as wind power, is beneficial to the optimization and adjustment of the energy structure of our country, and promotes the energy-saving and emission reduction of the power system. However, the fluctuation, uncertainty and inverse peak-regulation of the wind power bring many problems to the safe and stable operation of the system. In this paper, the influence of wind power on the backup, rotation and peak regulation of the system AGC is considered, and the optimization model and method of power generation scheduling under the condition of large-scale wind power and grid are systematically and deeply studied. Aiming at the problem of increasing the standby demand of the system AGC for the wind power grid, the AGC standby demand forecast party caused by the wind power grid is put forward In this paper, the fluctuation of wind power is analyzed by the maximum entropy spectral analysis method, and the wind power fluctuation component of the critical time scale is separated by the rolling average method, and the AGC capacity requirement of the wind power is calculated and divided according to the actual calculation example data. In order to give full play to the self advantage of AGC of various power sources under wind power and grid conditions, the full competition among AGC units in the network is further promoted. In this paper, the AGC spare capacity of the wind power access system is considered to optimize the dispatching party in combination with the regulation performance index of the AGC unit. The method includes the following steps: taking the minimum cost of the electric energy and the spare capacity of the AGC as a target function, taking into account the AGC adjusting speed, the AGC adjusting capacity and the AGC adjusting range constraint, and establishing an AGC standby optimized dispatching mode considering the wind power access system; The results show that the proposed model and method can quantitatively analyze the demand of AGC standby capacity caused by wind power and network, and give priority to the unit with excellent AGC regulation performance, and give full play to the self-optimization of AGC service by different power sources such as hydropower and thermal power. Potential. In view of the influence of wind power output uncertainty and system N-1 fault on the optimal allocation of system rotation reserve capacity, a rotary spare optimization adjustment considering wind power and load fluctuation and system N-1 fault is put forward. The method comprises the following steps of: determining a reasonable interval number based on the prediction error distribution of the load and the intermittent power supply power, and establishing the number of the expression wind power output and the load uncertainty by using the interval number optimization method; On the basis of screening the uncertain scene, considering the line transmission capacity constraint, the network topology change under the fault scenario, the continuous fluctuation scene and the creep under the scene of the instantaneous discrete fault Based on the slope constraint, the integrated optimal scheduling model for multi-scene rotation reserve capacity and power generation output plan is established, and the model is reduced by the Benders decomposition for the complexity of the model. The analysis shows that the method can coordinate and optimize the unit combination scheme and the rotating spare capacity plan, so as to guarantee the self-healing of the system under each expected scene. The positive ability. The probabilistic method is used to deal with the uncertainty of wind power output and system N-1 fault; based on the predicted output and prediction error distribution of wind power, the wind power scene is generated by using the Latin hypercube sampling method, and the field is applied to the field by using the synchronous generation method The view is cut. The Markov chain is used to predict the N-1 of the unit and line in the future. On the basis of this, the problems such as the combination of the unit, the allocation of the unit's economic power and the optimal configuration of the AGC spare and rotary spare capacity are considered, and the random flexibility of the wind power and energy storage system is established. the model and the method of the invention comprehensively consider the uncertainty probability and the severity of the system N-1 fault and the wind power output, the auxiliary service cost of the system AGC standby and the rotary spare capacity, the residual charge and discharge capacity of the energy storage device and the network, The influence of the constraint is the complexity of the model, and the linear linear programming solver (CPLE) is used to linearize the model. The results show that the proposed method can combine the spare capacity of the system AGC with the rotating standby capacity in a hierarchical and coordinated manner to each unit, and can consider the influence of the volatility and uncertainty of the intermittent power supply on the system, and give full play to the energy storage flexibility. Flexible advantages. In our country, large-scale wind power grid has caused the system peak-regulation difficulty and the wind-off problem. In this paper, the solution to promote the wind power cross-province and the wind to promote the local wind power generation in the wind power system are put forward. In this paper, a corresponding optimal scheduling model is established for the minimum dispatching mode of the relative deviation of the balance adjustment of the adjustment market presented in this paper. The example analysis verifies the model proposed in this paper. The applicability and validity of the wind power generation system are analyzed in this paper. The wind power receiving capacity and the system economy under different energy storage capacity scenarios and different wind power permeability scenarios are analyzed, and the maximum connection of wind power economy and wind power is proposed. The two kinds of dispatching modes are set up, and the corresponding mixing is established. The results show that the energy storage system can be more flexible and flexible to balance the contradiction between the peak load regulation and the waste wind. In this paper, the power generation scheduling optimization model of the wind power access system and the dispatching model for wind power generation are considered, not only have the academic value, but also to improve the safe and economic operation of the power system and promote the healthy development of the renewable energy
【学位授予单位】：华北电力大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：TM614;TM73
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