Hydropower market electricity distribution model based on large system decomposition theory

Liu, Dunnan; Wang, Meibao; Li, Xiaolu; Wu, Wenzhuo; Zhang, Lei; Li, Huadong

doi:10.1088/1755-1315/189/5/052079

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The classical solution method for reservoir optimization scheduling includes dynamic planning [10,11], linear planning [12], nonlinear planning [13], and large system decomposition and coordination methods [14]. With the continuous improvement of hydrological and rainfall and other related data, such as operations research [15,16], system engineering [17] and intelligent algorithms [18], reservoir optimization scheduling has developed rapidly.…”

Section: Introductionmentioning

confidence: 99%

Research on Reservoir Optimal Operation Based on Long-Term and Mid-Long-Term Nested Models

Zhao

Ruan

et al. 2022

Water

View full text Add to dashboard Cite

In order to solve the problem that the existing optimal operation model of reservoirs cannot coordinate the contradiction between long-term and short-term benefits, the paper nested the long-term optimal operation and mid-long-term optimal operations of reservoirs and established the multi-objective optimal operation nested model of reservoirs. At the same time, based on this model, the optimal control mode is determined when there are errors in the predicted runoff. In the optimal scheduling nested model, the dynamic programming algorithm is used to determine the long-term optimal scheduling solution, and the genetic algorithm is used to solve the mid-long-term optimal scheduling. The optimal control mode is determined by three indicators: power generation benefit, water level over limit risk rate and the not-exploited water volume. The results show that, on the premise of meeting the flood control objectives, the nested model optimal dispatching plan has higher benefits than the long-term optimal dispatching plan and the actual dispatching plan, which verifies the superiority of the nested model in the reservoir optimal dispatching problem. When there is error in predicting runoff, among the water level control mode, flow control mode and output control mode, the average power generation benefit of output control mode is 150.05 GW·h, the low-risk rate of water level overrun is 0.29, and the not-exploited water volume is 39,270 m3. Compared with the water level control mode and the flow control mode, the output control mode has the advantages of higher power generation efficiency, lower water level over limit risk rate and less not-exploited water volume. Therefore, from the perspective of economic benefit and risk balance, the output control mode in the optimization scheduling nested mode is the optimal control mode.

show abstract