Scheduling and planning for optimal operations of power plants using a unit commitment approach

Nurkhat Zhakiyev, Rustam Otarov

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A drop in the price of ‘black gold’ has led Kazakhstan to acknowledge its addictive dependence on oil exports. A deepening of the recent economic crisis has led to numerous revisions of the state budget, resulting in massive financial cuts and suspension of social and infrastructure programmes. In addition, an official highlight from Bloomberg has included Kazakhstan in the world’s top ten worstperforming economies, according to its forecasts. Moreover, Kazakhstan’s obsolete technologies will hamper its economy recovery. On the other hand, the current crisis may be considered as a flexibility test for upcoming hardships. The ability to introduce new technologies and advanced methods for both technical and economic management will play a crucial role. Kazakhstan’s leadership has practical experience in designing long-term roadmaps. Kazakhstan’s leadership has been continually envisioning the goals of state development through Strategies 2030 and 2050, which cover social and industrial issues as a general outline. A more explicit overview became available in the ‘Green Economy’ concept, which put a lot of stress on efficient resource use and feasibility of enterprise through the introduction of advanced technologies, fair pricing of electricity dispatch and transition to less water-consuming agriculture. The last proposition is the example of proper resource allocation, yet the Green Economy concept ignores the same approach to electricity dispatch. The traditional dispatch planning methods used in Kazakhstan are extremely conservative and result in excessive consumption of resources. Moreover, the effect is multiplied by the low overall efficiency of Kazakhstan’s power fleet. Therefore it is necessary to come up with a framework that will provide more optimal dispatch than currently practised methods provide.

Original languageEnglish
Title of host publicationSustainable Energy in Kazakhstan
Subtitle of host publicationMoving to Cleaner Energy in a Resource-Rich Country
PublisherTaylor and Francis
Pages109-115
Number of pages7
ISBN (Electronic)9781351972666
ISBN (Print)9781138238442
DOIs
Publication statusPublished - Jan 1 2017

Fingerprint

Kazakhstan
power plant
scheduling
commitment
planning
economy
electricity
resources
leadership
planning methods
gold
economic crisis
pricing
new technology
budget
flexibility
agriculture
infrastructure
water
efficiency

ASJC Scopus subject areas

  • Social Sciences(all)

Cite this

Zhakiyev, N., & Otarov, R. (2017). Scheduling and planning for optimal operations of power plants using a unit commitment approach. In Sustainable Energy in Kazakhstan: Moving to Cleaner Energy in a Resource-Rich Country (pp. 109-115). Taylor and Francis. https://doi.org/10.4324/9781315267302

Scheduling and planning for optimal operations of power plants using a unit commitment approach. / Zhakiyev, Nurkhat; Otarov, Rustam.

Sustainable Energy in Kazakhstan: Moving to Cleaner Energy in a Resource-Rich Country. Taylor and Francis, 2017. p. 109-115.

Research output: Chapter in Book/Report/Conference proceedingChapter

Zhakiyev, N & Otarov, R 2017, Scheduling and planning for optimal operations of power plants using a unit commitment approach. in Sustainable Energy in Kazakhstan: Moving to Cleaner Energy in a Resource-Rich Country. Taylor and Francis, pp. 109-115. https://doi.org/10.4324/9781315267302
Zhakiyev N, Otarov R. Scheduling and planning for optimal operations of power plants using a unit commitment approach. In Sustainable Energy in Kazakhstan: Moving to Cleaner Energy in a Resource-Rich Country. Taylor and Francis. 2017. p. 109-115 https://doi.org/10.4324/9781315267302
Zhakiyev, Nurkhat ; Otarov, Rustam. / Scheduling and planning for optimal operations of power plants using a unit commitment approach. Sustainable Energy in Kazakhstan: Moving to Cleaner Energy in a Resource-Rich Country. Taylor and Francis, 2017. pp. 109-115
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