【摘要】 针对大规模风电并网的消纳难题,利用需求响应(DR)实现了日前-日内两阶段的源荷协同优化调度。日前阶段基于风电出力场景集,运用价格型需求响应(PBDR)拉平净负荷曲线,缓解风电反调峰特性的影响;然后以电网运行成本最小为目标,考虑激励型需求响应(IBDR)平衡风电波动的作用,决策出一个满足各出力场景下消纳需求的机组组合和IBDR订单合同方案。日内阶段运用滚动灰色预测实现精确的超短期风电预测,从而在日前方案基础上,确定实际的机组出力、弃风和IBDR响应容量。选取24h风电/负荷比为34.8%的算例,仿真结果显示PBDR参与度水平越高,电力系统的调度成本越低。4种DR组合方案的对比分析表明,合理配置DR资源使得风电消纳率提升了6.05%,同时验证了采用两阶段调度比日内一次性调度节约成本5.36%。更多还原

【Abstract】 In order to solve the problem of large-scale wind power integration, a day-ahead and intra-day source-load coordinated optimization scheduling is established with the demand response(DR). Day-ahead stage: based on the scenarios of wind power, the price-based demand response(PBDR) is used to flatten the net load curve to alleviate the influence of anti-peak regulation characteristics of wind power. Then aiming at the minimum operation cost of the grid, considering the role of the incentive-based demand response(IBDR) to balance the wind power fluctuations, a unit commitment and an IBDR order contract scheme that meet the consumption requirements of each scenario are determined. Intra-day stage: the use of rolling grey prediction to achieve accurate ultra-short-term wind power forecasting, so as to determine the actual unit output, abandonment and IBDR response capacity based on the previous plan. An example with a 24 h wind power/load ration of 34.8% is selected. The simulation results show that the higher the level of PBDR participation, the lower the dispatch cost of power system. The comparative analysis of the four DR combination schemes shows that the reasonable allocation of DR resources has increased the rate consumption of wind power by 6.05%. At the same time, it is verified that two-stage scheduling saves 5.36% in cost compared to the one-time dispatch in the day.更多还原