Paper Contents
Abstract
The renewable energy resources (RERs) have brought green revolution in mitigation of greenhouse gaseous emission resulted from traditional energy resources (TERs). Moreover, the effective utilization of these resources is influenced by pricing schemes which have limitations. Therefore, this paper aims at optimization modeling for dynamic price-based demand response (DR) which includes flexible and inflexible loads along with the effective utilization of RERs i.e. photovoltaic (PVs) and wind turbines (WTs) in a microgrid (MG). This Thesis primary purpose is to use a multi-agent system (MAS) to develop a distributed microgrid automation model to realize complex organize or distributed microgrid energy management. This article introduces the energy-saving smart grid control system for network and island state control. A new concept is proposed to use distributed production (D.G.) to improve the power quality (P.Q.) in low-voltage networks. Compared to the traditional method, the conventional method requires using the committed property to recompense for power quality disturbances. The proposed idea is to form a microgrid (M.G.) that can be isolated from the public network operate on islands when disruptions occur. This article discusses the conditions for creating islands and proposes a control strategy for a small active network of micro turbines, renewable energy, loads, or storage systems.
Copyright
Copyright © 2024 1, Suraj Kumar 2, Sitaram Pal . This is an open access article distributed under the Creative Commons Attribution License.
