TITLE:
A Two-Stage Approach for Large-Scale Cascaded Hydropower System Operations
AUTHORS:
Jianjian Shen
KEYWORDS:
Progressive Optimality Algorithm (POA), Quadratic Programming (QP), Optimal Operation, Cascaded Hydropower Systems, Long-Term
JOURNAL NAME:
Journal of Water Resource and Protection,
Vol.6 No.16,
November
28,
2014
ABSTRACT: The paper
presents a two-stage approach to cope with the long-term optimal operation of
cascaded hydropower systems. This approach combines progressive optimality
algorithm (POA) with quadratic programming (QP) to improve the optimization
results. POA is used at the first stage to generate a local optimal result,
which will be selected as the initial feasible solution of QP method employed
at the second stage. Around the initial solution, a rational local search range
for QP method is then determined, where the nonlinear water level function and tailrace
level function can be linearized nearly with high accuracy. The simplified
optimization problem is formulated as a QP model with a quadratic generation
function and a linear set of constraints, and solved using the available mathematic
optimization software package. Simulation is performed on the long term
operation of Hongshui River hydropower system which is located in southwest
China and consists of 9 built hydropower plants. Results obtained from the
proposed approach show a significant increase in the total energy production
compared to the results from POA.