An Optimal Demand Response Strategy Using Gray Wolf Optimization

2021 ◽  
pp. 893-908
Author(s):  
Ankit Kumar Sharma ◽  
Akash Saxena ◽  
Dheeraj Kumar Palwalia ◽  
Bhanu Pratap Soni
Keyword(s):  
Demand Response ◽  
Response Strategy ◽  
Gray Wolf

scholarly journals How Can Floor Covering Influence Buildings’ Demand Flexibility?

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3658
Author(s):  
Hyeunguk Ahn ◽  
Jingjing Liu ◽  
Donghun Kim ◽  
Rongxin Yin ◽  
Tianzhen Hong ◽  
...  
Keyword(s):  
Demand Response ◽  
Radiant Heat ◽  
Response Strategy ◽  
Sensitivity Analyses ◽  
Thermal Mass ◽  
Cooling Load ◽  
Floor Covering ◽  
Load Shifting ◽  
Concrete Floor ◽  
Floor Surface

Although the thermal mass of floors in buildings has been demonstrated to help shift cooling load, there is still a lack of information about how floor covering can influence the floor’s load shifting capability and buildings’ demand flexibility. To fill this gap, we estimated demand flexibility based on the daily peak cooling load reduction for different floor configurations and regions, using EnergyPlus simulations. As a demand response strategy, we used precooling and global temperature adjustment. The result demonstrated an adverse impact of floor covering on the building’s demand flexibility. Specifically, under the same demand response strategy, the daily peak cooling load reductions were up to 20–34% for a concrete floor whereas they were only 17–29% for a carpet-covered concrete floor. This is because floor covering hinders convective coupling between the concrete floor surface and the zone air and reduces radiative heat transfer between the concrete floor surface and the surrounding environment. In hot climates such as Phoenix, floor covering almost negated the concrete floor’s load shifting capability and yielded low demand flexibility as a wood floor, representing low thermal mass. Sensitivity analyses showed that floor covering’s effects can be more profound with a larger carpet-covered area, a greater temperature adjustment depth, or a higher radiant heat gain. With this effect ignored for a given building, its demand flexibility would be overestimated, which could prevent grid operators from obtaining sufficient demand flexibility to maintain a grid. Our findings also imply that for more efficient grid-interactive buildings, a traditional standard for floor design could be modified with increasing renewable penetration.

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 Real-time demand response strategy of temperature-controlled load for high elastic distribution network

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Zhiqing Sun ◽  
Weiguo Si ◽  
Yi Xuan ◽  
Shaojie Luo ◽  
Jian Zhao ◽  
...  
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Distribution Network ◽  
Response Strategy ◽  
Temperature Controlled

scholarly journals A Novel Demand Response Strategy for Sizing of Hybrid Energy System With Smart Grid Concepts

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 20277-20294
Author(s):  
Ali M. Eltamaly ◽  
Majed A. Alotaibi ◽  
Abdulrahman I. Alolah ◽  
Mohamed A. Ahmed
Keyword(s):  
Smart Grid ◽  
Demand Response ◽  
Energy System ◽  
Response Strategy ◽  
Hybrid Energy System ◽  
Hybrid Energy

scholarly journals A Two-stage Demand Response Strategy for Datacenters in the Smart Grid Environment

2020 ◽  
Vol 1585 ◽  
pp. 012025
Author(s):  
Yuling Li ◽  
Xiaoying Wang ◽  
Peicong Luo ◽  
Dingchang Huang ◽  
Mengmeng Zhao
Keyword(s):  
Smart Grid ◽  
Demand Response ◽  
Response Strategy ◽  
Two Stage ◽  
Grid Environment

scholarly journals A Hierarchical VLSM-Based Demand Response Strategy for Coordinative Voltage Control Between Transmission and Distribution Systems

2019 ◽  
Vol 10 (5) ◽  
pp. 4838-4847 ◽  
Author(s):  
Xiangqi Zhu ◽  
Jiyu Wang ◽  
Ning Lu ◽  
Nader Samaan ◽  
Renke Huang ◽  
...  
Keyword(s):  
Demand Response ◽  
Distribution Systems ◽  
Voltage Control ◽  
Response Strategy ◽  
Transmission And Distribution
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