• Satish A. Markad
• Manoj Pandurang Wagh

The fundamental challenge in the operation of the electrical network is to execute a real supply and demand system that will be completely reliable. Genetic Algorithm (GA) and Ant Lion Optimization (ALO) are applied for the placement and sizing of DG. The significant purpose of GA, and ALO is to curtail the primary distribution energy losses as well as voltage deviation. Allocation of DG at the proper location with the appropriate size in the distribution system gives techno-economic benefits. The simulation results of the GA optimization method revealed a significant reduction in power loss up to 91.76% and by ALO the loss reduction is 91.28%. Also, it is observed that an exceptional improvement of up to 11.90% by GA and 11.75% by ALO in tail-end node voltage, which is a real problem for rural distribution systems and critical from the customer's point of operation. To reduce losses in secondary distribution, the reduction in utilization of energy is necessary without disturbing the priorities of supply. Hence load shedding is one of the options that is presently done. But if one of the consumer categories (residential) has offered a dynamic tariff, the consumption to this category will be reduced, giving benefits in terms of total bill charges. However, the utility can divert this saved energy to high-cost consumers (industry), will get more revenue with same energy input.

Distributed Generation (D.G), Global System for Mobile communication (GSM), Smart meter, tariff, Genetic Algorithm (GA) and Ant Lion Optimization (ALO)

"Dynamic Pricing for Residential Consumers in Electrical Distribution System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.f23-f28, January-2024, Available :http://www.jetir.org/papers/JETIR2401504.pdf

"Dynamic Pricing for Residential Consumers in Electrical Distribution System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppf23-f28, January-2024, Available at : http://www.jetir.org/papers/JETIR2401504.pdf