This paper describes the performance, generated power flow distribution and redistribution for each power plant on the grid based on adapting load and weather forecasting data. Both load forecasting and weather foreca...This paper describes the performance, generated power flow distribution and redistribution for each power plant on the grid based on adapting load and weather forecasting data. Both load forecasting and weather forecasting are used for collecting predicting data which are required for optimizing the performance of the grid. The stability of each power systems on the grid highly affected by load varying, and with the presence of the wind power systems on the grid, the grid will be more exposed to lowering its performance and increase the instability to other power systems on the gird. This is because of the intermittence behavior of the generated power from wind turbines as they depend on the wind speed which is varying all the time. However, with a good prediction of the wind speed, a close to the actual power of the wind can be determined. Furthermore, with knowing the load characteristics in advance, the new load curve can be determined after being subtracted from the wind power. Thus, with having the knowledge of the new load curve, and data that collected from SACADA system of the status of all power plants, the power optimization, load distribution and redistribution of the power flows between power plants can be successfully achieved. That is, the improvement of performance, more reliable, and more stable power grid.展开更多
Short-term power flow analysis has a significant influence on day-ahead generation schedule. This paper proposes a time series model and prediction error distribution model of wind power output. With the consideration...Short-term power flow analysis has a significant influence on day-ahead generation schedule. This paper proposes a time series model and prediction error distribution model of wind power output. With the consideration of wind speed and wind power output forecast error’s correlation, the probabilistic distributions of transmission line flows during tomorrow’s 96 time intervals are obtained using cumulants combined Gram-Charlier expansion method. The probability density function and cumulative distribution function of transmission lines on each time interval could provide scheduling planners with more accurate and comprehensive information. Simulation in IEEE 39-bus system demonstrates effectiveness of the proposed model and algorithm.展开更多
为进一步提高风电并网后电力系统运行的安全稳定性,提出一种针对风电波动性的新型储能参与电网调频控制策略。首先分析电力系统频率恢复不同阶段运行特性,并基于此提出储能参与电网调频的改进虚拟惯性响应和虚拟下垂控制,用于平抑风电...为进一步提高风电并网后电力系统运行的安全稳定性,提出一种针对风电波动性的新型储能参与电网调频控制策略。首先分析电力系统频率恢复不同阶段运行特性,并基于此提出储能参与电网调频的改进虚拟惯性响应和虚拟下垂控制,用于平抑风电并网的波动性;以储能电池剩余电量及负荷扰动量作为双输入,采用模糊控制策略,推导出虚拟下垂系数与双输入之间的平滑曲线关系;利用负荷扰动时的变化率进行负荷预测,预测超短下一时刻的负荷变化情况,计及风电波动功率,优化虚拟惯性控制和虚拟下垂控制的出力系数,以达到最优化调频效果,并提出三项评价指标对控制策略进行评价。最后以某区域电网模型为例,在试验台中进行仿真验证分析。仿真结果显示所提控制策略能够有效改善风电并网波动性带来的电网扰动,且对维持储能电池SOC(State of charge)具有积极意义。展开更多
文摘This paper describes the performance, generated power flow distribution and redistribution for each power plant on the grid based on adapting load and weather forecasting data. Both load forecasting and weather forecasting are used for collecting predicting data which are required for optimizing the performance of the grid. The stability of each power systems on the grid highly affected by load varying, and with the presence of the wind power systems on the grid, the grid will be more exposed to lowering its performance and increase the instability to other power systems on the gird. This is because of the intermittence behavior of the generated power from wind turbines as they depend on the wind speed which is varying all the time. However, with a good prediction of the wind speed, a close to the actual power of the wind can be determined. Furthermore, with knowing the load characteristics in advance, the new load curve can be determined after being subtracted from the wind power. Thus, with having the knowledge of the new load curve, and data that collected from SACADA system of the status of all power plants, the power optimization, load distribution and redistribution of the power flows between power plants can be successfully achieved. That is, the improvement of performance, more reliable, and more stable power grid.
文摘Short-term power flow analysis has a significant influence on day-ahead generation schedule. This paper proposes a time series model and prediction error distribution model of wind power output. With the consideration of wind speed and wind power output forecast error’s correlation, the probabilistic distributions of transmission line flows during tomorrow’s 96 time intervals are obtained using cumulants combined Gram-Charlier expansion method. The probability density function and cumulative distribution function of transmission lines on each time interval could provide scheduling planners with more accurate and comprehensive information. Simulation in IEEE 39-bus system demonstrates effectiveness of the proposed model and algorithm.
文摘为进一步提高风电并网后电力系统运行的安全稳定性,提出一种针对风电波动性的新型储能参与电网调频控制策略。首先分析电力系统频率恢复不同阶段运行特性,并基于此提出储能参与电网调频的改进虚拟惯性响应和虚拟下垂控制,用于平抑风电并网的波动性;以储能电池剩余电量及负荷扰动量作为双输入,采用模糊控制策略,推导出虚拟下垂系数与双输入之间的平滑曲线关系;利用负荷扰动时的变化率进行负荷预测,预测超短下一时刻的负荷变化情况,计及风电波动功率,优化虚拟惯性控制和虚拟下垂控制的出力系数,以达到最优化调频效果,并提出三项评价指标对控制策略进行评价。最后以某区域电网模型为例,在试验台中进行仿真验证分析。仿真结果显示所提控制策略能够有效改善风电并网波动性带来的电网扰动,且对维持储能电池SOC(State of charge)具有积极意义。
