scholarly journals Improving Efficiency of Power Systems by Demand Side Management Method

2017 ◽  
Vol 7 (1) ◽  
pp. 100
Author(s):  
Tibbie Pon Symon V.A. ◽  
I. Jacob Ragland
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Stochastic Scheduling ◽  
Demand Side Management ◽  
Pso Algorithm ◽  
Normal System ◽  
System Control ◽  
Demand Side ◽  
Efficient Manner ◽  
Management Method

In the smart grid infrastructure based power systems, it is necessary to consider the demand side management to enhance the energy reduction and system control. In many countries the resources are very less so the available resources have to be used in an efficient manner without any loss. The total loss cannot be avoided but it can be reduced. In the proposed system, the Particle Swarm Optimization (PSO) technique is used to distribute the power in the smart grid. Here, the grids are arranged in such a way that the losses in it are reduced. The load connected to the grid is rearranged according to their use. It uses a new and stochastic scheduling technique to handle the uncertainties in the power system. Solar and wind power are taken in account for twenty four hours and the values are given to the PSO algorithm. The   experiment was conducted by MATLAB and the results show that the efficiency level of wind and solar power systems was increased by an appreciable level. The proposed technique is compared with the normal system without using Demand Side Management (DSM) and it shows that the proposed system gives better results than the existing systems.

scholarly journals Various demand side management techniques and its role in smart grid–the state of art

2022 ◽  
Vol 12 (1) ◽  
pp. 150
Author(s):  
Muthuselvi Gomathinayagam ◽  
Saravanan Balasubramanian
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Power Distribution ◽  
Electrical Power ◽  
Demand Side Management ◽  
Demand Side ◽  
Electricity Grid ◽  
Management Techniques ◽  
Increasing Demand

The current lifestyle of humanity relies heavily on energy consumption, thus rendering it an inevitable need. An ever-increasing demand for energy has resulted from the increasing population. Most of this demand is met by the traditional sources that continuously deplete and raise significant environmental issues. The existing power structure of developing nations is aging, unstable, and unfeasible, further prolonging the problem. The existing electricity grid is unstable, vulnerable to blackouts and disruption, has high transmission losses, low quality of power, insufficient electricity supply, and discourages distributed energy sources from being incorporated. Mitigating these problems requires a complete redesign of the system of power distribution. The modernization of the electric grid, i.e., the smart grid, is an emerging combination of different technologies designed to bring about the electrical power grid that is changing dramatically. Demand side management (DSM) allow customers to be more involved in contributors to the power systems to achieve system goals by scheduling their shiftable load. Effective DSM systems require the participation of customers in the system that can be done in a fair system. This paper focuses primarily on techniques of DSM and demand responses (DR), including scheduling approaches and strategies for optimal savings.

scholarly journals A Hybrid Genetic Wind Driven Heuristic Optimization Algorithm for Demand Side Management in Smart Grid

Energies ◽  
2017 ◽  
Vol 10 (3) ◽  
pp. 319 ◽  
Author(s):  
Nadeem Javaid ◽  
Sakeena Javaid ◽  
Wadood Abdul ◽  
Imran Ahmed ◽  
Ahmad Almogren ◽  
...  
Keyword(s):  
Smart Grid ◽  
Optimization Algorithm ◽  
Demand Side Management ◽  
Heuristic Optimization ◽  
Demand Side

Genetic Algorithm Based Demand Side Management for Smart Grid

2017 ◽  
Vol 93 (2) ◽  
pp. 481-502 ◽  
Author(s):  
C. Bharathi ◽  
D. Rekha ◽  
V. Vijayakumar
Keyword(s):  
Genetic Algorithm ◽  
Smart Grid ◽  
Demand Side Management ◽  
Demand Side

scholarly journals Demand side management using the internet of energy based on LoRaWAN technology

2017 ◽  
Vol 2 (3) ◽  
pp. 112-119 ◽  
Author(s):  
Om-Kolsoom Shahryari ◽  
Amjad Anvari-Moghaddam ◽  
Shadi Shahryari
Keyword(s):  
Smart Grid ◽  
Long Range ◽  
Fog Computing ◽  
Demand Side Management ◽  
Wide Area ◽  
Area Network ◽  
Demand Side ◽  
Wide Area Network ◽  
Telecommunication System ◽  
Processing Level

The smart grid, as a communication network, allows numerous connected devices such as sensors, relays and actuators to interact and cooperate with each other. An Internet-based solution for electricity that provides bidirectional flow of information and power is internet of energy (IoE) which is an extension of smart grid concept. A large number of connected devices and the huge amount of data generated by IoE and issues related to data transmission, process and storage, force IoE to be integrated by cloud computing. Furthermore, in order to enhance the performance and reduce the volume of transmitted data and process information in an acceptable time, fog computing is suggested as a layer between IoE layer and cloud layer. This layer is used as a local processing level that leads to reduction in data transmissions to the cloud. So, it can save energy consumption used by IoE devices to transmit data into cloud because of a long range, low power, wide area and low bit rate wireless telecommunication system which is called LoRaWAN. All devices in fog domain are connected by long range wide area network (LoRa) into a smart gateway.  The gateway which bridges fog domain and cloud, is introduced for scheduling devices/appliances by creating a priority queue which can perform demand side management dynamically. The queue is affected by not only the consumer importance but also the consumer policies and the status of energy resources.

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