CAJ | 학술논문

风电的随机波动和反调峰特性影响电网的运行，经常造成弃风。由于各方利益难以平衡，大规模全局优化调度难以实现。但是，可以利用水电机组的调节能力直接补偿风电的功率变化，充分利用风电能量和水电机组的容量；用相量测量单元(phasor measurement unit，PMU)建立风电和水电之间的直接联系，使风电水电协同运行(coordinated hydro and wind power generation，CHWG)可以将随机的风电转化成可以参与电力系统运行计划的电源。以风电水电协同运行理论为基础，建立风电场和水电厂协同运行的优化调度模型，在水电满足网络需求的条件下保证协同运行的发电机组共同按计划向电力系统提供有功功率。该模型考虑了风电预测置信度和电价，不但保持输出功率的平稳，而且可以根据电价变化优化确定输出功率。改进了粒子群优化算法，使其能够有效地求解优化调度模型。以华北地区某风电场不同季节的数据为例，验证了该方法的有效性。
풍전적수궤파동화반조봉특성영향전망적운행，경상조성기풍。유우각방이익난이평형，대규모전국우화조도난이실현。단시，가이이용수전궤조적조절능력직접보상풍전적공솔변화，충분이용풍전능량화수전궤조적용량；용상량측량단원(phasor measurement unit，PMU)건립풍전화수전지간적직접련계，사풍전수전협동운행(coordinated hydro and wind power generation，CHWG)가이장수궤적풍전전화성가이삼여전력계통운행계화적전원。이풍전수전협동운행이론위기출，건립풍전장화수전엄협동운행적우화조도모형，재수전만족망락수구적조건하보증협동운행적발전궤조공동안계화향전력계통제공유공공솔。해모형고필료풍전예측치신도화전개，불단보지수출공솔적평은，이차가이근거전개변화우화학정수출공솔。개진료입자군우화산법，사기능구유효지구해우화조도모형。이화북지구모풍전장불동계절적수거위례，험증료해방법적유효성。
With increasing penetration of large wind farms, significant stochastic power variation may have an impact on the power balance between load demand and generation, particularly during peak and valley extreme load periods, therefore, the curtailment of wind generation occurs frequently. To ensure balanced generation provision optimal dispatch is required, particularly in a diverse generation mix. A high level of connected wind penetration can result in broad generation variability, thus to ensure reliable and robust generation provision, having access to large-scale reserve is essential. One viable choice is hydroelectric generation, which, when integrated alongside substantial wind sources, can be used in a coordinated hydro and wind power generation (CHWG) strategy, as proposed in this paper. In this strategy, a phasor measurement unit (PMU) was used to connect a wind farm and a hydropower plant. The hydro generator was used to compensate fluctuations in wind provision and hence balance the total output. The CHWG strategy can therefore take part in generation scheduling. The paper proposed an optimal dispatch model for CHWG which includes a wind forecasting confidence interval and electricity tariff. The boundary constraint and inertia coefficient of a particle swarm optimization algorithm were adopted and used to solve the optimal dispatch model. The model was applied to a wind farm system in North China to exemplify the proposed strategy.