Optimization of Energy Storage Operation Chart of Cascade Reservoirs with Multi-Year Regulating Reservoir

Yi Liu,Zhiqiang Jiang,Yuyun Chen,Ping Chen,Zhongkai Feng,Hairong Zhang

doi:10.3390/en12203814

Abstract

In view of the problems that have not been solved or studied in the previous studies of cascade Energy Storage Operation Chart (ESOC), based on a brief description of the composition, principle, drawing methods, and simulation methods of ESOC, the following innovative work has been done in this paper. Firstly, considering the inconsistency of inflow frequency of upstream and downstream watershed in selecting the typical dry years, a novel optimization model for selecting the overall inflow process considering the integrity of watershed was proposed, which aimed at minimizing the sum of squares of inflow frequency differences. Secondly, aiming at the influence of output coefficients (including number and values) on the results of ESOC, this paper proposed a new method to construct the initial solution of output coefficients and established an optimization model of output coefficients based on progressive optimality algorithms. Thirdly, to the optimization of ESOC with multi-year regulating reservoir, a discrete optimization model of drawdown level was constructed based on the idea of ergodic optimization. On these bases, taking the seven reservoirs in the Yalong River basin of China as an example, the typical dry years considering the inflow frequency inconsistency, the optimal output coefficients of ESOC and the optimal end-of-year drawdown level of a multi-year regulating reservoir (Lianghekou) were obtained, and compared with the previous research results, the ESOC optimized in this paper can increase the total power generation of the cascade system by 9% under the condition that the guaranteed rate did not change much. Furthermore, the difference of the optimal end-of-year drawdown levels between the cascade joint operation and single reservoir operation was discussed for the Lianghekou reservoir at the end of the case study. The obtained results were of great significance for guiding the actual operation of cascade reservoirs.

Highlights

As a renewable and clean energy [1,2], hydropower energy is a kind of high quality and efficient energy which is being vigorously developed all over the world [3]
After the formation of cascade reservoirs, the original single reservoir operation method can no longer meet the needs of the joint operation of cascade reservoir [6,7]
After the cascade reservoirs have been formed by many reservoirs, the corresponding conventional joint operation method is the cascade joint operation chart, such as Energy Storage Operation Chart (ESOC)

Summary

Introduction

As a renewable and clean energy [1,2], hydropower energy is a kind of high quality and efficient energy which is being vigorously developed all over the world [3]. Its development and utilization is mainly through the construction of reservoirs to concentrate and raise water head, so that the water energy can be efficiently converted into electricity. After the formation of cascade reservoirs, the original single reservoir operation method can no longer meet the needs of the joint operation of cascade reservoir [6,7]. It is necessary to develop and study new joint operation methods, including optimization methods and conventional methods [8,9], the optimal operation methods include classical mathematical methods and intelligent clustering algorithms [10]. In the conventional operation method of single reservoir, the most common one is the operation chart. After the cascade reservoirs have been formed by many reservoirs, the corresponding conventional joint operation method is the cascade joint operation chart, such as Energy Storage Operation Chart (ESOC)

Methods

Results

Conclusion