A swarm intelligence approach for energy management of grid‐connected microgrids with flexible load demand response

2021 ◽  
Author(s):  
Arvind R. Singh ◽  
Lei Ding ◽  
Dhenuvakonda Koteswara Raju ◽  
Lolla Phani Raghav ◽  
Rangu Seshu Kumar
Keyword(s):  
Swarm Intelligence ◽  
Energy Management ◽  
Demand Response ◽  
Load Demand ◽  
Flexible Load ◽  
Intelligence Approach

scholarly journals Impact of Demand Response on Optimal Sizing of Distributed Generation and Customer Tariff

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 190
Author(s):  
Krishna Mohan Reddy Pothireddy ◽  
Sandeep Vuddanti ◽  
Surender Reddy Salkuti
Keyword(s):  
Energy Management ◽  
Distributed Generation ◽  
Demand Response ◽  
Distribution System ◽  
Fossil Fuels ◽  
Global Climate ◽  
Management Strategies ◽  
Communication Technologies ◽  
Load Demand ◽  
Drastic Increase

Due to the surge in load demand, the scarcity of fossil fuels, and increased concerns about global climate change, researchers have found distributed energy resources (DERs) to be alternatives to large conventional power generation. However, a drastic increase in the installation of distributed generation (DGs) increases the variability, volatility, and poor power quality issues in the microgrid (MG). To avoid prolonged outages in the distribution system, the implementation of energy management strategies (EMS) is necessary within the MG environment. The loads are allowed to participate in the energy management (EM) so as to reduce or shift their demands to non-peak hours such that the maximum peak in the system gets reduced. Therefore, this article addresses the complication of solutions, merits, and demerits that may be encountered in today’s power system and encompassed with demand response (DR) and its impacts in reducing the installation cost, the capital cost of DGs, and total electricity tariff. Moreover, the paper focuses on various communication technologies, load clustering techniques, and sizing methodologies presented.

Energy management of a microgrid using demand response strategy including renewable uncertainties

2021 ◽  
Vol 22 (1) ◽  
pp. 85-100
Author(s):  
Suchitra Dayalan ◽  
Rajarajeswari Rathinam
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Demand Response ◽  
Effective Means ◽  
Operating Cost ◽  
Energy Resources ◽  
Response Strategy ◽  
Distributed Energy ◽  
Real Time Control ◽  
Minimum Operating

Abstract Microgrid is an effective means of integrating multiple energy sources of distributed energy to improve the economy, stability and security of the energy systems. A typical microgrid consists of Renewable Energy Source (RES), Controllable Thermal Units (CTU), Energy Storage System (ESS), interruptible and uninterruptible loads. From the perspective of the generation, the microgrid should be operated at the minimum operating cost, whereas from the perspective of demand, the energy cost imposed on the consumer should be minimum. The main key in controlling the relationship of microgrid with the utility grid is managing the demand. An Energy Management System (EMS) is required to have real time control over the demand and the Distributed Energy Resources (DER). Demand Side Management (DSM) assesses the actual demand in the microgrid to integrate different energy resources distributed within the grid. With these motivations towards the operation of a microgrid and also to achieve the objective of minimizing the total expected operating cost, the DER schedules are optimized for meeting the loads. Demand Response (DR) a part of DSM is integrated with MG islanded mode operation by using Time of Use (TOU) and Real Time Pricing (RTP) procedures. Both TOU and RTP are used for shifting the controllable loads. RES is used for generator side cost reduction and load shifting using DR performs the load side control by reducing the peak to average ratio. Four different cases with and without the PV, wind uncertainties and ESS are analyzed with Demand Response and Unitcommittment (DRUC) strategy. The Strawberry (SBY) algorithm is used for obtaining the minimum operating cost and to achieve better energy management of the Microgrid.

scholarly journals Development of Self-Synchronized Drones’ Network Using Cluster-Based Swarm Intelligence Approach

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 48010-48022
Author(s):  
Fawaz Alsolami ◽  
Fahad A. Alqurashi ◽  
Mohammad Kamrul Hasan ◽  
Rashid A. Saeed ◽  
S. Abdel-Khalek ◽  
...  
Keyword(s):  
Swarm Intelligence ◽  
Intelligence Approach
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