Increase of the Energy Efficiency of the Parallel Technological Systems on the Basis of the Optimal Coordinated Control of the Processes

The article presents an approach to increasing of the energy efficiency of the parallel technological systems based on optimal coordinated processes control and the principle of minimization of the energy consumption based on the optimal distribution of the capacities of the parallel processes with account of the local disturbances. The principle is based on the assumption that in order to reduce the energy consumption of a parallel system it is necessary to decrease its processes' capacities with a high level of local disturbances, preserving the required total system productivity by increasing the capacities of the processes with the low levels of the local disturbances. The assumption is based on the fact that, as a rule, the processes with a high level of the local disturbances have higher local energy consumption than the processes with a low level of disturbances. It is shown that the problem of the optimal capacities distribution is a task of a multiparameter optimization with constraints. The paper discusses implementation of this principle on the basis of a two-level control system with a coordinator. The coordinator's task is to compute the values of the optimal local capacities in real time based on information concerning the current values of the local disturbances. The values of the optimal local capacities are fed into the local automatic control systems, which implement the appropriate control actions concerning the local processes. The analytical and iterative algorithms for the optimal coordination of the local capacities values is considered. The analytical algorithm is based on Lagrange's method, while the iterative algorithm is based on the search for an active gradient solution. The paper considers application of the proposed approach for saving the energy consumption of an oil-production wells group. Here, the parallel technological system includes the oil-production wells as the local processes. The results of the numerical experiments show feasibility of saving energy by more than 5 % in comparison with a technological system without the optimal distribution of the productive capacities. Thus, the proposed approach can reduce significantly the energy consumption of a parallel technological system without an expensive modernization of its technology.

энергоемкость производства, параллельная технологическая система, многоуровневая система управления, координированное управление, многопараметрическая оптимизация, группа нефтедобывающих скважин, energy consumption, parallel technological system, multi-level control system, coordinated control, multiparameter optimization, oil-production wells group

1. ГОСТ Р 51750-2001 Энергосбережение. Методика определения энергоемкости при производстве продукции и оказании услуг в технологических энергетических системах. Общие положения.

2. ГОСТ 27.004-85. Надежность в технике. Системы технологические. Термины и определения.

3. Садовский В. В., Самойлов М. В., Кохно Н. П. и др. Производственные технологии. Минск: БГЭУ, 2008. 431 с.

4. Месарович М., Мако Д., Такахара И. Теория иерархических многоуровневых систем. М.: Мир, 1973. 344 с.

5. Васильев В. И., Гусев Ю. М., Ефанов В. Н. и др. Многоуровневое управление динамическими объектами. М.: Наука, 1987. 309 с.

6. Васильев В. И., Ильясов Б. Г. Интеллектуальные системы управления. Теория и практика М.: Радиотехника, 2009. 392 с.

7. Владимиров И. В., Хисамутдинов Н. И., Тазиев М. М. Проблемы разработки водонефтяных и частично заводненных зон нефтяных месторождений. М.: ВНИИОЭНГ, 2007. 360 с.

8. Нугаев И. Ф., Васильев В. И. Управление процессами скважинной добычи нефти на основе каскадных алгоритмов // Мехатроника, автоматизация, управление. 2015. № 5. С. 321-326.

9. Merlet J.-P., Gosselin C. Parallel Mechanisms and Robots // Springer Handbook of Robotics. Ref. Work. 2008. P. 269-285.

10. Baeten J., Bert van Beek, Markovski J., Somers L. Coordination Control of Complex Machines. In: Coordination Control of Distributed Systems // Lecture Notes in Control and Information Sciences. 2015. Vol. 456. P. 61-68.

11. Anderson D., Howard T., Apfelbaum D., Herman H., Kelly A. Coordinated Control and Range Imaging for Mobile Manipulation. - In: Lecture Notes in Control and Information Sciences // Proc. of the Eleventh International Symposium of Experimental Robotics (ISER), Athens, Greece. 2006. P. 547-556.