系统安全运行约束下的环境经济调度
发布时间：2018-10-22 16:33
【摘要】：随着能源与环境问题的日趋严重,新能源发电得到了长足的发展。风能作为一种新型的可再生清洁能源,已被国家列为绿色能源产业的重点发展项目。然而,风电的随机性和间歇性特点给系统的调度带来了挑战。因此,研究含风电并网的环境经济调度已成为当下的热门课题。本文研究风电并网后系统环境经济调度的建模与计算问题。针对风电预测误差引起的备用容量缺额,采用购买可中断负荷的方式进行填补,建立了考虑可中断负荷的环境经济调度模型。目标函数中考虑了机组煤耗成本、环境污染成本、阀点效应能耗成本和可中断负荷补偿成本。针对风电的不确定性,在风速服从双参数的威布尔(weibull)分布的假设条件下,采用风速-风能转化曲线和蒙特卡罗方法预测风电的出力。针对直流潮流,运用条件风险价值(CVaR)方法刻画各支路负载率不满足安全运行的概率,从而构建了系统安全运行约束下的单时段环境经济调度模型。进而,将单时段的环境经济调度问题推广到多时段,结合机组的爬坡约束,建立了系统安全运行约束下的多时段环境经济调度模型。本文建立的环境经济调度模型与随机优化问题,采用罚函数方法、光滑化技术和样本平均方法相结合一类新的光滑化罚样本平均算法进行求解。首先对模型进行罚函数处理,使其变为无不等式约束的优化问题；进而基于样本平均方法计算模型中的期望值,针对模型的不连续特性,采用光滑化技术进行处理,使其连续可导。以IEEE30节点系统对本文所提出的模型进行仿真分析,分析了在不同风险约束、不同置信水平、风电并网前后、阀点效应、可中断负荷补偿成本和不同风电预测误差对调度结果的影响,验证了模型与算法的合理性。
[Abstract]:With the increasingly serious energy and environmental problems, new energy generation has been greatly developed. As a new type of renewable clean energy, wind energy has been listed as the key development project of green energy industry. However, the randomness and intermittency of wind power bring challenges to system scheduling. Therefore, the study of environmental economic scheduling with wind power grid has become a hot topic. In this paper, the modeling and calculation of environmental and economic dispatching after wind power grid connection are studied. In view of the reserve capacity shortage caused by wind power prediction error, an environmental economic scheduling model considering interruptible load is established by using the method of purchasing interruptible load. The cost of coal consumption, environmental pollution, valve point effect and interruptible load compensation are considered in the objective function. In view of the uncertainty of wind power, under the assumption that wind speed obeys Weibull (weibull) distribution with two parameters, wind speed conversion curve and Monte Carlo method are used to predict wind power generation. For DC power flow, the conditional risk value (CVaR) method is used to describe the probability that the load rate of each branch does not satisfy the safe operation, and a single time period environmental economic scheduling model is constructed under the constraint of system safe operation. Furthermore, the single-period environmental economic scheduling problem is extended to multi-time periods, and a multi-period environmental economic scheduling model under the system safe operation constraints is established by combining the climbing constraints of the units. In this paper, the environmental economic scheduling model and stochastic optimization problem are solved by using penalty function method, smoothing technique and sample average method combined with a new smoothing penalty sample average algorithm. Firstly, the penalty function of the model is processed to make it an optimization problem without inequality constraints, and then based on the sample average method to calculate the expected value of the model, the smoothing technique is used to deal with the discontinuity of the model. Make it continuously derivable. The model proposed in this paper is simulated and analyzed with IEEE30 node system. The valve point effect is analyzed in different risk constraints, different confidence levels and before and after wind power grid connection. The effect of interruptible load compensation cost and forecasting error of different wind power on the scheduling results is verified and the rationality of the model and algorithm is verified.
【学位授予单位】：长沙理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM73
本文编号：2287700
[Abstract]:With the increasingly serious energy and environmental problems, new energy generation has been greatly developed. As a new type of renewable clean energy, wind energy has been listed as the key development project of green energy industry. However, the randomness and intermittency of wind power bring challenges to system scheduling. Therefore, the study of environmental economic scheduling with wind power grid has become a hot topic. In this paper, the modeling and calculation of environmental and economic dispatching after wind power grid connection are studied. In view of the reserve capacity shortage caused by wind power prediction error, an environmental economic scheduling model considering interruptible load is established by using the method of purchasing interruptible load. The cost of coal consumption, environmental pollution, valve point effect and interruptible load compensation are considered in the objective function. In view of the uncertainty of wind power, under the assumption that wind speed obeys Weibull (weibull) distribution with two parameters, wind speed conversion curve and Monte Carlo method are used to predict wind power generation. For DC power flow, the conditional risk value (CVaR) method is used to describe the probability that the load rate of each branch does not satisfy the safe operation, and a single time period environmental economic scheduling model is constructed under the constraint of system safe operation. Furthermore, the single-period environmental economic scheduling problem is extended to multi-time periods, and a multi-period environmental economic scheduling model under the system safe operation constraints is established by combining the climbing constraints of the units. In this paper, the environmental economic scheduling model and stochastic optimization problem are solved by using penalty function method, smoothing technique and sample average method combined with a new smoothing penalty sample average algorithm. Firstly, the penalty function of the model is processed to make it an optimization problem without inequality constraints, and then based on the sample average method to calculate the expected value of the model, the smoothing technique is used to deal with the discontinuity of the model. Make it continuously derivable. The model proposed in this paper is simulated and analyzed with IEEE30 node system. The valve point effect is analyzed in different risk constraints, different confidence levels and before and after wind power grid connection. The effect of interruptible load compensation cost and forecasting error of different wind power on the scheduling results is verified and the rationality of the model and algorithm is verified.
【学位授予单位】：长沙理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM73
【参考文献】
相关期刊论文 前1条
1 邱威;张建华;刘念;;含大型风电场的环境经济调度模型与解法[J];中国电机工程学报;2011年19期
，本文编号：2287700
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