scholarly journals Planning and Scheduling for Industrial Demand-Side Management: State of the Art, Opportunities and Challenges under Integration of Energy Internet and Industrial Internet

2021 ◽  
Vol 13 (14) ◽  
pp. 7753
Author(s):  
Songsong Chen ◽  
Feixiang Gong ◽  
Mingqiang Zhang ◽  
Jindou Yuan ◽  
Siyang Liao ◽  
...  
Keyword(s):  
Demand Response ◽  
Peak Load ◽  
Planning And Scheduling ◽  
Energy Internet ◽  
Industrial Internet ◽  
Development Direction ◽  
New Energy ◽  
High Degree ◽  
New Situation ◽  
Industrial Demand

Industrial power has a large load base and considerable adjustment potential. Enterprises with a high degree of automation and adjustable potential can automatically adjust the production status according to the peak load, frequency of the power grid and the demand of new energy consumption, so as to realize automatic demand response. This paper analyzes the opportunities and challenges of industrial demand response under the integration of Industrial Internet and Energy Internet. At the same time, the development direction of industrial demand response under the new situation, such as comprehensive demand response, adjustable load resources and other technical and policy aspects are prospected.

scholarly journals Research on joint optimal scheduling of air conditioning load and electric vehicle under demand response

2021 ◽  
Vol 257 ◽  
pp. 01058
Author(s):  
Haiyu Huang ◽  
Chunming Wang ◽  
Shaolian Xia ◽  
Huaqiang Xiong ◽  
Baofeng Jiang ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Demand Response ◽  
Air Conditioning ◽  
Power Grid ◽  
Peak Load ◽  
Optimal Scheduling ◽  
Peak Shaving ◽  
Energy Internet ◽  
Direct Load Control ◽  
Scheduling Model

As an important part of energy Internet carrier, demand side resources can participate in many interactions with power grid. In order to reduce the peak to valley load difference of power grid, from the perspective of tapping the combined peak shaving potential of air conditioning load and electric vehicles, guided by TOU price and direct load control, this paper proposes an optimal scheduling model with the minimum load difference and the maximum total revenue of users as the objective function. The results show that the joint optimal scheduling strategy can reduce the peak load and eliminate the “secondary peak load” caused by disorderly charging of electric vehicles.

scholarly journals Price Based Demand Response for Optimal Frequency Stabilization in ORC Solar Thermal Based Isolated Hybrid Microgrid under Salp Swarm Technique

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2209
Author(s):  
Abdul Latif ◽  
Manidipa Paul ◽  
Dulal Chandra Das ◽  
S. M. Suhail Hussain ◽  
Taha Selim Ustun
Keyword(s):  
Demand Response ◽  
Frequency Control ◽  
Thermal Power ◽  
Peak Load ◽  
Energy System ◽  
Frequency Stabilization ◽  
Load Frequency Control ◽  
Solar Thermal ◽  
Proportional Integral ◽  
Hybrid Microgrid

Smart grid technology enables active participation of the consumers to reschedule their energy consumption through demand response (DR). The price-based program in demand response indirectly induces consumers to dynamically vary their energy use patterns following different electricity prices. In this paper, a real-time price (RTP)-based demand response scheme is proposed for thermostatically controllable loads (TCLs) that contribute to a large portion of residential loads, such as air conditioners, refrigerators and heaters. Wind turbine generator (WTG) systems, solar thermal power systems (STPSs), diesel engine generators (DEGs), fuel cells (FCs) and aqua electrolyzers (AEs) are employed in a hybrid microgrid system to investigate the contribution of price-based demand response (PBDR) in frequency control. Simulation results show that the load frequency control scheme with dynamic PBDR improves the system’s stability and encourages economic operation of the system at both the consumer and generation level. Performance comparison of the genetic algorithm (GA) and salp swarm algorithm (SSA)-based controllers (proportional-integral (PI) or proportional integral derivative (PID)) is performed, and the hybrid energy system model with demand response shows the supremacy of SSA in terms of minimization of peak load and enhanced frequency stabilization of the system.

scholarly journals Adequacy Assessment of Wind Integrated Generating Systems Incorporating Demand Response and Battery Energy Storage System

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2649 ◽  
Author(s):  
Jiashen Teh
Keyword(s):  
Energy Storage ◽  
Demand Response ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Peak Load ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy ◽  
Generating System

The demand response and battery energy storage system (BESS) will play a key role in the future of low carbon networks, coupled with new developments of battery technology driven mainly by the integration of renewable energy sources. However, studies that investigate the impacts of BESS and its demand response on the adequacy of a power supply are lacking. Thus, a need exists to address this important gap. Hence, this paper investigates the adequacy of a generating system that is highly integrated with wind power in meeting load demand. In adequacy studies, the impacts of demand response and battery energy storage system are considered. The demand response program is applied using the peak clipping and valley filling techniques at various percentages of the peak load. Three practical strategies of the BESS operation model are described in this paper, and all their impacts on the adequacy of the generating system are evaluated. The reliability impacts of various wind penetration levels on the generating system are also explored. Finally, different charging and discharging rates and capacities of the BESS are considered when evaluating their impacts on the adequacy of the generating system.

A multi-agent based optimization of residential and industrial demand response aggregators

2019 ◽  
Vol 107 ◽  
pp. 472-485 ◽  
Author(s):  
Hessam Golmohamadi ◽  
Reza Keypour ◽  
Birgitte Bak-Jensen ◽  
Jayakrishnan R. Pillai
Keyword(s):  
Demand Response ◽  
Agent Based ◽  
Multi Agent ◽  
Industrial Demand

Peak Load Reduction in a Smart Building Integrating Microgrid and V2B-Based Demand Response Scheme

2019 ◽  
Vol 13 (3) ◽  
pp. 3274-3282 ◽  
Author(s):  
Hanane Dagdougui ◽  
Ahmed Ouammi ◽  
Louis A. Dessaint
Keyword(s):  
Demand Response ◽  
Peak Load ◽  
Load Reduction ◽  
Smart Building ◽  
Response Scheme

scholarly journals Thermal demand response model considering user's satisfaction with heat consumption under electrothermal coupling

2021 ◽  
Vol 236 ◽  
pp. 01034
Author(s):  
Wang Zhenyu ◽  
Zhang Jianhua ◽  
Hu Chunlan ◽  
Xu Lanlan ◽  
Han Yongjun
Keyword(s):  
Demand Response ◽  
Supply And Demand ◽  
Thermal Power ◽  
Response Model ◽  
Power Demand ◽  
Time Sharing ◽  
Economic Operation ◽  
New Energy ◽  
Heating Mode ◽  
Demand Side Response

.In recent years, the development of new energy has become a bottleneck. As a high-quality demand side response resource that can be flexibly dispatched, thermal load can be used to promote the consumption and utilization of new energy. Based on the theory of peak valley electricity price and power demand response mechanism, this paper designs a demand response model of thermal price type, which uses time-sharing heat price to guide users to use heat orderly on the heating side. The simulation results show that the reasonable setting of heat price and satisfaction constraints of different heating modes can effectively change the heating mode of the user side and alleviate the contradiction between the supply and demand of thermal power, reduce the heating cost and realize the economic operation of the system.

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