文章摘要
张粒子,刘方,许通,等.多运营主体梯级水电站参与日前市场中的下游电站 自调度投标策略[J].电力系统自动化. DOI: 10.7500/AEPS20170613017.
Zhanglizi,刘方,许通, et al.Day-ahead Market Clearing Mechanism Considering Coupling Relationship of Cascade Hy-dropower Stations:Part Two Self-Schedule Bidding Strategy of Downstream power Station[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20170613017.
多运营主体梯级水电站参与日前市场中的下游电站 自调度投标策略
Day-ahead Market Clearing Mechanism Considering Coupling Relationship of Cascade Hy-dropower Stations:Part Two Self-Schedule Bidding Strategy of Downstream power Station
DOI:10.7500/AEPS20170613017
关键词: 梯级水电站  日前市场  出清机制  自调度投标  天气变化
KeyWords: Cascade hydropower station, day-ahead market, clearing mechanism, self-schedule bidding, weather change
上网日期:2018-07-05
基金项目:国家自然科学基金项目(51277071); 中央高校基本科研业务费专项资金项目(2017XS033); 国家能源局科技项目(西南水电智能调度及合理消纳机制研究)。
作者单位E-mail
张粒子 华北电力大学 lizizhang2000@sina.com 
刘方 华北电力大学 liufang_NCEPU@163.com 
许通 华北电力大学电气与电子工程学院 xutong@ncepu.edu.cn 
蒋燕 云南电力调度控制中心 jiangyan@qq.com 
李秀峰 云南电力调度控制中心 lixiufeng@126.com 
摘要:
      在多运营主体流域梯级水电站参与的日前市场出清模型,下游电站作为价格接受者,且出力主要有由上游电站中标量决定,但可利用有限出力裕度制定自调度投标策略,拓展收益空间。针对下游电站中标曲线滞后于上游电站,容易错过负荷、电价高峰的问题,提出“峰前滕库、峰后蓄水”出力调整策略来增厚收益;针对天气变化带来下游电站入库流量大尺度波动,消纳困难,提出“调蓄削峰”两阶段出力优化调整策略,以平稳泄流,缓解弃水。下游电站将出力调整曲线上报市场运营机构,进行自调度投标,实现增发增收。最后,以某包含梯级上、下游水电站的系统为例,进行市场交易仿真模拟,结果表明:所提策略有效提高下游电站收益、降低弃水。
Abstract:
      In the day-ahead market clearing mechanism considering coupling relationship of cascade hydropower stations, the downstream power station as price-taker cannot decide the clearing price, but can utilize limited generation capacity margin formulating self-schedule bidding strategy, to expand benefit space. In view of the problems that the bided ca-pacity curve of downstream power station lags behind upstream power station, and easy to miss load or price peak. The output adjusting strategy of “pre peak release reservoir and post peak impound” is proposed, for thickening reve-nue. For the problem of weather changes brought about large scale fluctuation for downstream power station inflow, and difficult for consumption, the two stages output optimize and regulate strategy of “storage and peak shaving” is put forward, for smoothly discharge water flow, alleviate water abandon. The downstream power station will report the regulating output curve to power exchange center for self-schedule bidding, and achieving additional income. Finally, a system including upstream and downstream cascade hydropower stations, is taken as example for market transaction simulating. The results show that: the proposed strategy can effectively improve downstream power station’s income and reduce water abandon.
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