About

General

Title
Modeling and digitalization of electricity system of Kazakhstan to form new market designs, tariff policy enable high share of renewables
Overall information
  • Irn AP19579354
  • State registration number 0123РК00127
  • Ministry of Science and Higher Education of the Republic of Kazakhstan
Aims
  • Study and analysis of ways to form effective tariff policy and new market mechanisms in electric power industry of Kazakhstan with increase in share of renewable energy sources and digitalization of sector by comparing different development scenarios; development of software or web platform for efficient operation of electricity to consumers.
Tasks
  • Analysis of existing models of the electricity market by studying the experience of developed countries. Use in practice of new models and its adaptation for the electricity market of Kazakhstan
  • Development of a core web platform for scenario analysis at various electricity prices. Comparative analysis of price behavior through Optimization / agent-based modeling of RES with / without the use of energy storage devices.
  • Optimization modeling of centralized electricity trades for the medium and long term. Prototype of a web platform for auction participants.
Expected results
  • A new structured database for the electricity market in Kazakhstan with a detailed description of each element on PYPSA. Publication of at least 1 (one) article or review in a peer-reviewed foreign or domestic publication recommended by CQASHE
  • Simulation and simulation of various demand/supply scenarios for electricity from RES with/without the use of energy storage devices. Application of methods of optimization and agent-based modeling. Publication of at least 2 (two) articles and (or) reviews in peer-reviewed scientific publications in the scientific direction of the project, indexed in the Science Citation Index Expanded of the Web of Science database and (or) having a CiteScore percentile in the Scopus database of at least 35 (thirty five).
  • A computer model of medium-term and long-term trading using smart contracts and its optimization. Prototype of a web platform for auction participants. Recommendations for improving the tariff policy and the electricity market in Kazakhstan.
  • Publication of at least 1 (one) article (or) review in peer-reviewed scientific publications in the scientific direction of the project, indexed in the Science Citation Index Expanded of the Web of Science database and (or) having a CiteScore percentile in the Scopus database of at least 35 (thirty-five). As well as the publication of 1 (one) article or review in a peer-reviewed foreign or domestic publication recommended by CQASHE.

Details

The purpose of the project: to study and analyze ways to form an effective tariff policy and new market mechanisms in the electric power industry of Kazakhstan with an increase in the share of renewable energy sources (RES) and digitalization of the sector by comparing different development scenarios; development of software or a web platform for the efficient operation of an electricity sales operator. The integration of renewable energy into energy systems has been made possible by the development of the power grid infrastructure, demand management measures (installation of multi-tariff meters and flexibility in electricity prices), the development of energy storage technologies, as well as industry cooperation and flexible generation of electricity in traditional power plants.

At the same time, the success in the development of RES and the rapid increase in its share in the energy balance were associated with large-scale state support provided to new technologies in developed countries. Purchases of green electricity at higher prices, subsidies to companies switching to the use of new technologies, significantly helped the industry in the early stages of development. The novelty of the study lies in the testing and integration of new systemic market mechanisms for the development of the electricity market with modern types of renewable energy sources and energy storage devices with computer scenario modeling tools. The research team will apply modern IT approaches in the field of scenario analysis and multi-agent modeling to form a new tariff policy in the electricity market. As a result of the project, it is expected to develop an optimization model of the Kazakhstani electricity market for testing and formation of a new tariff policy with a mechanism of transparent auctions between all participants. The scientific supervisor of the project is N.K. Zhakiev (PhD in physics).

Interactive

Map of electric power stations

Region diagrams

Akmola region

Consumed energy charts

Data analysis and prediction modeling

Example of expected file format:
date,object_name,plan,fact,unit,cloudiness,temperature,wind_speed
2023-01-01 01:00:00,Zadarya,0,0,MWh,4.0,-4.0,2.0
2023-01-01 02:00:00,Zadarya,0,0,MWh,4.0,-4.0,2.0
2023-01-01 03:00:00,Zadarya,0,0,MWh,4.0,-3.0,2.0
2023-01-01 04:00:00,Zadarya,"0,039","0,002",MWh,4.0,-2.0,2.0
2023-01-01 05:00:00,Zadarya,"0,219","0,487",MWh,4.0,0.0,2.0

Meet the team

Team member 1

Zhakiev Nurkhat Kuandykovich

Project Manager, Senior Researcher, PhD

Principal investigator. He is involved in computer modeling of energy systems, forecasting industrial greenhouse gas emissions, and climate change mitigation analytics. The main topic of his research is mathematical and computer modeling of physical processes, methods of optimization and matrix algebra, modeling in the GAMS environment. h-index=4, https://www.scopus.com/authid/detail.uri?authorId=56043145000

Team member 2

Omirgaliev Ruslan

No information available

Team member 3

Abdiramanov Orisbay

No information available

Team member 4

Samal Zakaryanova

No information available

Team member 5

Bakhtiyar Kazbekov

No information available

Team member 6

Zhenis Otarbaev

No information available

Team member 7

Kabdygali Samat

No information available

Team member 8

Baysakalova Nazia

No information available

Team member 9

Uikas Olzhas

No information available

Team member 10

Daniel Friedrich

No information available