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| 1 | 高耗能企业关口平衡优化调度及其输出功率控制方式显示文摘许多高耗能企业拥有自备发电厂。通过对自备电厂自调度实现发、用电自平衡对企业用电的经济性与区域电网的安全性都具有重要意义。由于发电机组的爬坡能力受限,不可能每个时间段起点突变,所以目前广泛采用的离散时间模型可能导致调度计划无法操作实现。为此,针对高耗能企业建立含积分约束的关口平衡模型。通过分析任意调度时段起点与终点时刻机组输出功率、机组爬坡率和该时段期望能量输出之间的关系,将含积分约束的关口平衡模型转化为一个混合整数规划模型。进而,基于最优控制理论中的极小值原理,给出一种安全经济的机组输出功率控制方式。以某具有自备电厂的大型钢铁企业发用电平衡为例进行数值求解,结果验证了模型及其控制方式的有效性。 | 高云龙 高峰 潘金艳 翟桥柱 管晓宏 | 2010 | 中国电机工程学报2010，30，19： | 12 |
| 2 | 考虑电量可实现性和启停功率轨迹的火电机组组合混合整数线性规划模型显示文摘为解决传统模型过于简化以致调度计划存在电量不可交付、产生系统频率偏差的问题,提出一种考虑电量可实现性和启停功率轨迹的火电机组组合混合整数线性规划(mixed-integer linear programming,MILP)模型,该模型引入一类0-1变量表示燃煤机组的运行状态,便于在其加热、升负荷、调度和降负荷4个阶段的逻辑判断和发电量计算;根据燃气燃油机组启停迅速的特点,对其运行状态重新建模;并支持冷、温、热等多种启动类型和1 h、15 min等多种调度时段长度。10~1 000机24时段系统的计算结果表明:所提模型更符合实际运行情况,可很好地解决电量不可交付问题,且具有较高的求解效率。 | 邓俊 韦化 黎静华 | 2015 | 电网技术2015，39，10： | 11 |
| 3 | Optimization based accurate scheduling for generation and reserve of power system显示文摘With the improvement of electricity markets,the gradual aggravation of energy shortage and the environment pollution,it is urgent to formulate a new model to precisely satisfy the system demand for energy and reserve.Currently,power system opti-mization dispatching is always formulated as a discrete-time scheduling model.In this paper,we first demonstrate through an example that the upper and lower bounds of spinning reserve offered by a unit,given in the discrete-time model framework as constraints,is unreachable.This causes the problem that the reserve delivery obtained by the discrete-time scheduling model cannot be carried out precisely.From the detailed analysis of the ramp rate constraints,it is proved that the reachable upper and lower bounds of spinning reserve in every period can be expressed as functions of two variables,i.e.,generation level of unit at the start and end of this period.Thus,a new method is provided to calculate the upper and lower bounds of spinning reserve which are reachable in average.Furthermore,a new model based on this proposed method for joint scheduling of generation and reserve is presented,which considers the ability to realize the scheduled energy and reserve delivery.It converts the opti-mization based accurate scheduling for generation and reserve of power system from a continuous-time optimal control prob-lem to a nonlinear programming problem.Therefore,the proposed model can avoid the difficulties in solving a continu-ous-time optimal control problem.Based on the sequential quadratic programming method,numerical experiments for sched-uling electric power production systems are performed to evaluate the model and the results show that the new model is highly effective. | GAO YunLong PAN JinYan YANG ZiJiang GAO Feng JI GuoLi | 2012 | Science China(Technological Sciences)2012，55，1： | 6 |
| 4 | A time-series modeling method based on the boosting gradient-descent theory显示文摘The forecasting of time-series data plays an important role in various domains. It is of significance in theory and application to improve prediction accuracy of the time-series data. With the progress in the study of time-series, time-series forecasting model becomes more complicated, and consequently great concern has been drawn to the techniques in designing the forecasting model. A modeling method which is easy to use by engineers and may generate good results is in urgent need. In this paper, a gradient-boost AR ensemble learning algorithm (AREL) is put forward. The effectiveness of AREL is assessed by theoretical analyses, and it is demonstrated that this method can build a strong predictive model by assembling a set of AR models. In order to avoid fitting exactly any single training example, an insensitive loss function is introduced in the AREL algorithm, and accordingly the influence of random noise is reduced. To further enhance the capability of AREL algorithm for non-stationary time-series, improve the robustness of algorithm, discourage overfitting, and reduce sensitivity of algorithm to parameter settings, a weighted kNN prediction method based on AREL algorithm is presented. The results of numerical testing on real data demonstrate that the proposed modeling method and prediction method are effective. | GAO YunLong PAN JinYan JI GuoLi GAO Feng | 2011 | Science China(Technological Sciences)2011，54，5： | 5 |
| 5 | 基于精确能量平衡约束的高耗能企业自备电厂发电调度方法显示文摘高耗能企业自备电厂发电调度对于降低企业发用电成本、减少企业涌动型负荷对区域电网冲击有重要意义。目前,相关研究及应用中通常采用的离散时间调度模型框架的主要缺点是不能准确反映电能和机组发电功率的积分关系,也没有较好地考虑企业负荷及电量需求的不确定性。在分时电价机制下,运行方案可能明显偏离最优。文中建立了连续时间框架下,考虑负荷需求不确定性的高耗能企业自备电厂发电调度模型,可以准确反映积分约束关系。所得结果可以在企业负荷需求分布未知的情况下,给出期望意义下的自备电厂最优发电计划。案例测试验证了文中所提方法的有效性。 | 袁伟 毛亚珊 翟桥柱 | 2016 | 中国电机工程学报2016，36，10： | 5 |
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