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中文摘要：
提出一种基于功率多频率尺度分析的风光水气储联合系统日前调度策略。该策略首先根据控制目标对风光出力（power of wind photovoltaic,PWP）进行滤波分析,提取不同频率尺度下的PWP分量,制定各类补偿电站出力计划;然后利用改进粒子群优化算法并行优化各电站内部综合成本,计算联合系统总体输出功率;最后依据不同日前调度模式,考虑稳定性和风光消纳能力,优化风光水气储系统单位发电成本,制定出力计划。算例分析结果表明,与传统优化模型及优化算法相比,该方法能够很好地解决大规模风光并网的功率波动问题,实现联合系统的功率平稳输出,同时能够保证整个系统经济高效、低碳环保。
英文摘要：
Based on multi frequency scale analysis on power output of wind farms and photovoltaic （PV） generation （PWP）, a day-ahead dispatching strategy for power pool composed of wind farms, photovoltaic generations, pumped-storage power stations, gas turbine power plants and energy storage systems is proposed. Firstly, according to the control objectives the filter analysis on PWP is performed to extract PWP components corresponding to different frequency scales to draft output schedulings for of all kinds of complementary power generations in the power pool; then using improved particle swamp optimization （PSO） the total power output of the power pool is computed; finally, based on different day-ahead dispatching modes and considering stability and wind power accommodation capability of the power pool, the per-unit generation costs of wind farms, photovoltaic generations, pumped-storage power stations, gas turbine power plants and energy storage systems are optimized to draft final output schedulings. Results of calculation example show that comparing with traditional optimization models and optimization algorithms, the proposed method can cope with the power fluctuation due to grid-connection oflarge-scale wind farms and PV generations to implement stationary power output of the power pool, meanwhile the economy, efficiency, low-carbon operation and environmental protection of the power pool can be ensured.
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