A stochastic model for a macroscale hybrid renewable energy system

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

卷:54

Review

Kocaman, Ayse Selin¹  Abad, Carlos²  Troy, Tara J.³  Huh, Woonghee Tim⁴  Modi, Vijay^5,6 

[1] Bilkent Univ, Dept Ind Engn, TR-06900 Ankara, Turkey

[2] Columbia Univ, IEOR Dept, New York, NY 10027 USA

[3] Lehigh Univ, Dept Civil & Environm Engn, Bethlehem, PA 18015 USA

[4] Univ British Columbia, Sauder Sch Business, Vancouver, BC V5Z 1M9, Canada

[5] Columbia Univ, Dept Mech Engn, New York, NY 10027 USA

[6] Columbia Univ, Earth Inst, New York, NY 10027 USA

关键词: Hydropower;    Solar energy;    Infrastructure sizing;    Transmission network;    Resource sharing;    Two-stage stochastic program;    India;   

DOI  :  10.1016/j.rser.2015.10.004

来源: Elsevier

【 摘 要 】

The current supply for electricity generation mostly relies on fossil fuels, which are finite and pose a great threat to the environment. Therefore, energy models that involve clean and renewable energy sources are necessary to ease the concerns about the electricity generation needed to meet the projected demand. Here, we mathematically model a hybrid energy generation and allocation system where the intermittent solar generation is supported by conventional hydropower stations and diesel generation and time variability of the sources are balanced using the water stored in the reservoirs. We develop a two-stage stochastic model to capture the effect of streamflows which present significant inter-annual variability and uncertainty. Using sample case studies from India, we determine the required hydropower generation capacity and storage along with the minimal diesel usage to support 1 GW(peak) solar power generation. We compare isolated systems with the connected systems (through inter-regional transmission) to see the effects of geographic diversity on the infrastructure sizing and quantify the benefits of resource-sharing. We develop the optimal sizing relationship between solar and hydropower generation capacities given realistic cost parameters and real data and examine how this relationship would differ as the contribution of diesel is reduced. We also show that if the output of the solar power stations can be controlled (i.e. spill is allowed in our setting), operating them below their maximum energy generation levels may reduce the unit cost of the system. (C) 2015 Elsevier Ltd. All rights reserved.

【 授权许可】

Free