Muhammad Anas Khan
, Amjad Ullah Khattak
Frequency is the most important parameter in the power system. For satisfactory operation of power system, the frequency should remain constant to its desired value. Almost all components used in the power system itself and electrical appliances are designed for a specific frequency. Some reasons of frequency deviation include: sudden load change (mismatch between supply and demand), faults and renewable energy integration in the grid system. To maintain the frequency in their desired value, traditionally generation side controllers are used. Due to their high operational cost, generation side controllers are not desirable by the power system operators. This research proposes a Demand Response (DR) technique as a promising alternate for the conventional generation controllers. It regulates the frequency by switching the responsive load ON or OFF. The proposed research operates in three different operational modes depending upon generation and load demand. Mode 1: When generation is greater than demand side load, the proposed system will switch ON the dummy load to regulate frequency, while in mode 2: Generation is less than demand side load, then the system will regulate frequency by switching OFF the non-critical load using ant colony method. In mode 3: Generation is considered to be equal to demand, in this mode there is no need to switch OFF or ON any load because frequency is already in a desired limit. By using DR program, the amount of reserved required can be reduced and hence it is more cost effective. In addition it provides a wide range of operating time frame, from a few seconds to few minutes.
Muhammad Anas Khan Amjad Ullah Khattak “Frequency Control of a Micro-Grid Using Demand Response and Ant Colony Method” International Journal of Engineering Works Vol. 8 Issue 12 PP. 272-280 December 2021 https://doi.org/10.34259/ijew.21.8012272280.
[1] L. Liu, H. Matayoshi, M. Lotfy, M. Datta, and T. Senjyu, “Load frequency control using demand response and storage battery by considering renewable energy sources,” Energies, vol. 11, no. 12, p. 3412, Dec. 2018.
[2] N. Ruiz, I. Cobelo, and J. Oyarzaabal, “A direct load control model for virtual power plant management,” IEEE Transactions on Power System, vol. 24, no. 2, pp. 959–966, 2009.
[3] A. J. Conejo, J. M. Morales, and L. Baringo, “Real-time demand response model,” IEEE Transactions on Smart Grid, vol. 1, no. 3, pp. 236–242, 2010.
[4] D. T. Nguyen, M. Negnevitsky, and M. de Groot, “Pool-based demand response exchange-concept and modeling,” IEEE Transaction on Power System, vol. 26, no. 3, pp. 1677–1685, 2011.
[5] P. Faria, Z. Vale, J. Soares, and J. Ferreira, “Demand response management in power systems using a particle swarm optimization approach,” IEEE Intelligent Systems, 2011.
[6] M. Parvania and M. Fotuhi-Firuzabad, “Integrating load reduction into wholesale energy market with application to wind power integration,” IEEE Systems Journal, vol. 6, no. 1, pp. 35–45, 2012.
[7] K.Dietrich, J.M. Latorre, L.Olmos, andA. Ramos, “Demand response in an isolated system with high wind integration,” IEEE Transaction Power System, vol. 27, no. 1, pp. 20–29, 2012.
[8] M. Rastegar, M. Fotuhi-Firuzabad, and F. Aminifar, “Load commitment in a smart home,” Journal Applied Energy, 2012.
[9] N. Navid-Azarbaijani and M. H. Banakar, “Realizing load reduction functions by aperiodic switching of load groups,” IEEE Transaction on Power Systems, vol. 11, no. 2, pp. 721-727, 1996.
[10] K. Y. Huang, H. C. Chin, and Y. C. Huang, “A model reference adaptive control strategy for interruptible load management,” IEEE Transaction on Power System, vol.19, no.1 pp. 683-689, 2004.
[11] D. Westermann and A. John, “Demand matching wind generation with wide-area measurement and demand-side management,” IEEE Transaction on Energy Conversion, vol. 22, no.1, pp. 145-149, 2007.
[12] Y.Q.BAO, Y. LI, B. WANG, M. HU, P. CHEN, “Demand response for frequency control of multi-area power system” Journal of Modern Power Systems and Clean Energy, vol. 5, Jan 2017.
[13] S. A. Pourmousavi, M. H. Nehrir, “Real-time central demand response for primary frequency regulation in microgrids” IEEE Transaction on Smart Grid, vol. 3, No. 4, Dec 2012.
[14] P. Palensky, D. Dietrich, “Demand side management: demand response, intelligent energy systems, and smart loads” IEEE Transaction on Industrial Informatics, vol.7, No.3, August 2011.
[15] L. Slimani, T. Bouktir, “An ant colony optimization for solving the optimal power flow problem in medium-scale electrical network” First International Conference on Electrical Systems PCSE’05 May 9-11 2005, O.E. Bouaghi Univ. Algeria.
[16] R. Jia, M. H. Nehrir, D. A. Pierre, “Voltage control of aggregate electric water heater load for distribution system peak load shaving using field data”, 39th North American Power Symposium, NAPS, Sep 2007.
[17] M. Y. Yunus, Marhatang, M. R. Djalal, “Application ant colony optimization for load frequency control in wind diesel hybrid power system” The 2nd International Conference on Education, Science and Technology (ICEST 2017), at Makassar, vol.1, MAR 2017
