Published December 31, 2022 | Version v1
Book chapter Open

Electricity consumption and renewable energy sources generation schedules coordination in electric networks for balance reliability increasing

Creators

  • 1. Vinnytsia National Technical University

Description

The chapter analyzes the schedules of electricity consumption and generation in the electricity network with renewable energy sources (RES) as an opportunity to improve the electricity balance in it. It is shown that in order to achieve a positive effect from the introduction of RES into the electric grid, a balance of electricity generation and consumption must be ensured in it. To do this, first of all, the values of the optimal installed power of RES are determined to coordinate the generation and electricity consumption schedules, and the principles of consumption management in the electric network are formed. In order to increase the stability of power supply systems, it is proposed to use electric power accumulators, which, if there is a certain energy reserve in the accumulator, can be used in case of an insufficient amount of RES generation. An algorithm for the method of matching the generation schedules of the PV power plants and the electric load of the network has been developed. At the same time, the cost of displacement of consumption power is estimated, for which a corresponding indicator has been developed. Since the quality of power supply depends not only on the balance of active power, but also reactive power, RES with inverter energy conversion devices are considered as a means of regulating reactive power in the electrical network in order to maintain the voltage within acceptable limits.

Files

978-617-7319-63-3 ch2.pdf

Files (14.1 MB)

Name Size Download all
md5:599883c185e9cdc1f3e88efbf754e690
14.1 MB Preview Download

Additional details

References

  • Yue, X., Tu, M., Li, Y., Chang, G., Li, C. (2022). Stability and Cementation of the Surrounding Rock in Roof-Cutting and Pressure-Relief Entry under Mining Influence. Energies, 15 (3), 951. doi: https://doi.org/10.3390/en15030951
  • Hai, W., Kai, L., Cheng, Z., Yongcan, L. (2021). Research on Line Loss Improvement of Station Area in Distribution Network by Modular Photovoltaic Energy Storage System. 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 1285–1289. doi: https://doi.org/10.1109/icpsasia52756.2021.9621597
  • Bondarenko, R., Dovgalyuk, O., Omelyanenko, G., Pirotti, O., Syromyatnikova, T. (2018). Increasing the reliability of the functioning of distribution electric networks. Bulletin of the Petro Vasylenko Kharkiv National Technical University of Agriculture, 195, 69–71.
  • Lezhniuk, P., Komar, V., Sobchuk, D. (2014). Determination of the optimal installed power of renewable energy sources in the distribution network by the criterion of minimum losses of active power. Scientific works of the Donetsk National Technical University. Series: Electrical engineering and energy, 1 (16), 130–136.
  • Ma, Y., Zhao, L., Zhang, Y., Zhou, Q., Zhang, M., Yang, S. (2020). Multi-objective Optimal Scheduling of Power Systems Based on Complementary Characteristics of Heterogeneous Energy Sources. 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), 1533–1538. doi: https://doi.org/10.1109/ei250167.2020.9347052
  • Lezhniuk, P., Kotylko, I., Kravchuk, S. (2019). Increasing Electric Network Reliability by Dispersed Generation. 2019 IEEE 20th International Conference on Computational Problems of Electrical Engineering (CPEE). doi: https://doi.org/10.1109/cpee47179.2019.8949124
  • Lakshmi, G. S., Rubanenko, O., Hunko, I. (2021). Control of the Sectioned Electrical Network Modes with Renewable Energy Sources. 2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET). doi: https://doi.org/10.1109/sefet48154.2021.9375781
  • Faraji, J., Ketabi, A., Hashemi-Dezaki, H., Shafie-Khah, M., Catalao, J. P. S. (2020). Optimal Day-Ahead Self-Scheduling and Operation of Prosumer Microgrids Using Hybrid Machine Learning-Based Weather and Load Forecasting. IEEE Access, 8, 157284–157305. doi: https://doi.org/10.1109/access.2020.3019562
  • Grigorieva, N., Shabaykovich, V., Gumeniuk, L., Humeniuk, P., Dobrovolska, L., Sobchuk, D. (2020). Odnawialna energia elektryczna z dwutlenku węgla. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 10 (1), 72–76. doi: https://doi.org/10.35784/iapgos.934
  • Lezhniuk, P., Rubanenko, O. (2021). Optimal solutions sensitivity analysis in complex systems in relative units. Scientific Research of the XXI Century. Vol. 2. California, 111–118. doi: https://doi.org/10.51587/9781-7364-13302-2021-002-111-118
  • Komar, V., Ostra, N., Kuzmyk, O., Hutsol, S. (2013). Evaluation of Dispersed Generation to Mode of Distributive Electric Networks.. Scientific works of the Donetsk National Technical University, 1 (14), 104–107.
  • Lezhnyuk, P., Komar, V., Sobchuk, D. (2014). Determining the optimal installed power of renewable energy sources in the distribution network by the criterion of minimum losses of active power. Scientific works of the Donetsk National Technical University Series: "Electrical engineering and energy", 1 (16), 130–135.
  • Lezhniuk, P. D., Komar, V. A., Sobchuk, D. S. (2014). Method for Determination of Optimal Installed Capacity of Renewable Sources of Energy by the Criterion of Minimum Losses of Active Power in Distribution System. Energy and Power Engineering, 6 (3), 37–46. doi: https://doi.org/10.4236/epe.2014.63005
  • Lezhnyuk, P., Komar, V., Buslavets, O. (2016). Impact of renewable sources of energy on the level of active power losses in distribution networks. 2016 2nd International Conference on Intelligent Energy and Power Systems (IEPS), 73–78. doi: https://doi.org/10.1109/ieps.2016.7521856
  • Commission Regulation (EU) 2016/1719 of 26 September 2016 establishing a guideline on forward capacity allocation (2016). European Commission. Official Journal of the European Union.
  • Electricity Balancing Guideline (2017). European Commission. Official Journal of the European Union, 312/6-312/53.
  • Demand Side Response. Policy paper (2014). ENTSOE. Available at: https://www.entsoe.eu/2014/09/23/demand_side_response_policy_paper/
  • Lezhniuk, P., Komar, V., Kravchuk, S. (2016). Coordination of schedules of generation of renewable energy sources and electric load in the local electric system. Bulletin of Kharkiv National Technical University of Rural Economy named after Pyotr Vasylenko. Technical sciences. Problems of energy supply and energy saving in the agricultural sector of Ukraine, 2, 30–37.
  • Lezhniuk, P., Komar, V., Kravchuk, S. (2016). Determination of optimal power reserves for carrying balance reliability of local electric system. Bulletin of the National Technical University «KhPI» Series: New Solutions in Modern Technologies, 42 (1214), 69–75. doi: https://doi.org/10.20998/2413-4295.2016.42.11
  • Varetsky, Y., Hanzelka, Z. (2016). Stochastic modelling of a hybrid renewable energy system. Tekhnichna Elektrodynamika, 2016 (2), 58–62. doi: https://doi.org/10.15407/techned2016.02.058
  • On Electricity Market (2017). Law of Ukraine No. 2019-VIII. 11.04.2017. Available at: http://zakon.rada.gov.ua/laws/show/2019-19
  • Kuznetsov, M. P. (2010). Methods of forecasting electricity generation by wind power plants. Renewable energy, 3, 42–47.
  • Kuznetsov, M. P., Lysenko, O. V. (2017). Possibilities of short-term forecasting of solar energy. Renewable energy, 1, 25–33.
  • Komar, V. O., Lesko, V. O. (2017). Balance reliability of electrical systems and the influence of renewable energy sources on it. Environmental safety and renewable energy sources, 98–101.
  • Kudrin, B. I. (2009). Elektrosnabzhenie promyshlennykh predpriiatii. Moscow: Teplotechnik, 698.
  • Chatterjee, S., Firat, A. (2007). Generating Data with Identical Statistics but Dissimilar Graphics. The American Statistician, 61 (3), 248–254. doi: https://doi.org/10.1198/000313007x220057
  • Komenda, N. V. (2011). Morphometric evaluation and criterion of uniformity of the schedule of electric loads. Bulletin of the National University "Lviv Polytechnic", 66, 42–46.
  • Komenda, N. V., Komenda, T. I., Demov, O. D. (2010). Search for consumers – regulators based on the morphometric approach in managing the daily load of an industrial enterprise. Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine, 27, 22–26.
  • Kyrylenko, O. V., Pavlovsky, V. V., Lukyanenko, L. M. (2011). Technical aspects of the implementation of distributed generation sources in electric networks. Technical electrodynamics, 1, 46-53.
  • Detailed Model of a 100-kW Grid-Connected PV Array (2017). Mathworks. Available at: https://www.mathworks.com/help/physmod/sps/examples/detailed-model-of-a-100-kw-grid-connected-pv-array.html?requestedDomain=true
  • Lezhniuk, P. D., Kovalchuk, O. A., Komar, V. O., Kravchuk, S. V. (2018). Mathematical modeling of reactive power regulation by photovoltaic stations. Renewable energy for energy efficiency of the 21st century, 273–277.