Optimization of cascade hydropower system operation by genetic algorithm to maximize clean energy output

Journal Title: UNKNOWN - Year 2016, Vol 3, Issue 2

Abstract

Background: Several reservoir systems have been constructed for hydropower generation around the world. Hydropower offers an economical source of electricity with reduce carbon emissions. Therefore, it is such a clean and renewable source of energy. Reservoirs that generate hydropower are typically operated with the goal of maximizing energy revenue. Yet, reservoir systems are inefficiently operated and manage according to policies determined at the construction time. It is worth noting that with little enhancement in operation of reservoir system, there could be an increase in efficiency of the scheme for many consumers. Methods: This research develops simulation-optimization models that reflect discrete hedging policy (DHP) to manage and operate hydropower reservoir system and analyse it in both single and multireservoir system. Accordingly, three operational models (2 single reservoir systems and 1 multi-reservoir system) were constructed and optimized by genetic algorithm (GA). Maximizing the total power generation in horizontal time is chosen as an objective function in order to improve the functional efficiency in hydropower production with consideration to operational and physical limitations. The constructed models, which is a cascade hydropower reservoirs system have been tested and evaluated in the Cameron Highland and Batang Padang in Malaysia. Results: According to the given results, usage of DHP for hydropower reservoir system operation could increase the power generation output to nearly 13% in the studied reservoir system compared to present operating policy (TNB operation). This substantial increase in power production will enhance economic development. Moreover, the given results of single and multi-reservoir systems affirmed that hedging policy could manage the single system much better than operation of the multi-reservoir system. Conclusion: It can be summarized that DHP is an efficient and feasible policy, which could be used for the operation of existing or new hydropower reservoir system

Authors and Affiliations

Aida Tayebiyan

Keywords

Related Articles

Use of bauxite from active Iranian mines for the removal of fluoride from drinking water

Background: Fluoride plays an important role in bone and dentin mineralization; however, excess fluoride intake is harmful to mankind. Methods: This study evaluated the performance of bauxite from active Iranian mines in...

Optimizing functions of coagulants in treatment of wastewater from metalworking fluids: Prediction by RSM method

Background: Coagulation is a treatment procedure for metalworking fluids (MWFs). This study aimed to optimize coagulation using four coagulants and compare the results. Methods: In this research, the outputs of a coagula...

Bioaccumulation and translocation factors of petroleum hydrocarbons in Aeluropus littoralis

Background: Polycyclic aromatic hydrocarbons (PAHs), which consist of fused conjugated aromatic rings, not only are toxic to humans and other living organisms, but will also pollute groundwater. These compounds can be po...

Removal of direct blue 129 from aqueous medium using surfactant-modified zeolite: a neural network modeling

Background: Conserving water for human survival and providing future security are important issues that need to be addressed. Methods: In this study, a zeolite modified with hexadecyl trimethyl ammonium bromide (HDTMA-Br...

Evaluation of removal efficiency of phenol from synthetic aqueous solutions by Citrullus colocynthis seed ash

Background: Phenol is a prevalent pollutant found in many industrial wastewaters, and it is paid singular attention because of its special features like high toxicity, carcinogenic properties, and vital gathering ability...

Download PDF file
  • EP ID EP285603
  • DOI 10.15171/EHEM.2016.07
  • Views 117
  • Downloads 0

How To Cite

Aida Tayebiyan (2016). Optimization of cascade hydropower system operation by genetic algorithm to maximize clean energy output. UNKNOWN, 3(2), 99-106. https://europub.co.uk/articles/-A-285603