TY - GEN
T1 - Economic optimization of hydropower storage projects using alternative thermal powerplant approach
AU - Raeisi, Sina
AU - Mousavi, S. Jamshid
AU - Beidokhti, Mahmoud Taleb
AU - Rousta, Bentolhoda A.
AU - Kim, Joong Hoon
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2016.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - This paper presents a simulation-optimization model integrating particle swarm optimization (PSO) algorithm and sequential streamflow routing (SSR) method to maximize the net present value (NPV) of a hydropower storage development project. In the PSO-SSR model, the SSR method simulates the operation of reservoir and its powerplant on a monthly basis over long term for each set of controllable design and operational variables, which includes dam reservoir and powerplant capacities as well as reservoir rule curve parameters, being searched for by the PSO algorithm. To evaluate the project NPV for each set of the controllable variables, the “alternative thermal powerplant (ATP)” approach is employed to determine the benefit term of the project NPV. The PSO-SSR model has been used in the problem of optimal design and operation of Garsha hydropower development project in Iran. Results show that the model with a simple, hydropower standard operating policy results in an NPV comparable to another model optimizing operating policies.
AB - This paper presents a simulation-optimization model integrating particle swarm optimization (PSO) algorithm and sequential streamflow routing (SSR) method to maximize the net present value (NPV) of a hydropower storage development project. In the PSO-SSR model, the SSR method simulates the operation of reservoir and its powerplant on a monthly basis over long term for each set of controllable design and operational variables, which includes dam reservoir and powerplant capacities as well as reservoir rule curve parameters, being searched for by the PSO algorithm. To evaluate the project NPV for each set of the controllable variables, the “alternative thermal powerplant (ATP)” approach is employed to determine the benefit term of the project NPV. The PSO-SSR model has been used in the problem of optimal design and operation of Garsha hydropower development project in Iran. Results show that the model with a simple, hydropower standard operating policy results in an NPV comparable to another model optimizing operating policies.
KW - Alternative thermal powerplant
KW - Hydropower
KW - Operating policy
KW - Particle swarm optimization
UR - http://www.scopus.com/inward/record.url?scp=84946761029&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946761029&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-47926-1_34
DO - 10.1007/978-3-662-47926-1_34
M3 - Conference contribution
AN - SCOPUS:84946761029
SN - 9783662479254
T3 - Advances in Intelligent Systems and Computing
SP - 353
EP - 363
BT - Harmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015
A2 - Geem, Zong Woo
A2 - Kim, Joong Hoon
PB - Springer Verlag
T2 - 2nd International Conference on Harmony Search Algorithm, ICHSA 2015
Y2 - 19 August 2015 through 21 August 2015
ER -