scholarly journals Strategy-making for a proactive distribution company in the real-time market with demand response

2016 ◽  
Vol 181 ◽  
pp. 540-548 ◽  
Author(s):  
Chunyu Zhang ◽  
Qi Wang ◽  
Jianhui Wang ◽  
Magnus Korpås ◽  
Mohammad E. Khodayar
Keyword(s):  
Real Time ◽  
Demand Response ◽  
The Real ◽  
Distribution Company ◽  
Strategy Making

scholarly journals The research of the real-time pricing model based on the cumulated points system in the demand response

2018 ◽  
Vol 145 ◽  
pp. 246-251
Author(s):  
Peipei Zhang ◽  
Xueyin Wang ◽  
Mei Sun ◽  
Mingzhuang Zhang ◽  
Xu Yan
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Pricing Model ◽  
The Real ◽  
Model Based ◽  
Real Time Pricing

scholarly journals Optimal Dispatch of Aggregated HVAC Units for Demand Response: An Industry 4.0 Approach

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4320 ◽  
Author(s):  
Michael Short ◽  
Sergio Rodriguez ◽  
Richard Charlesworth ◽  
Tracey Crosbie ◽  
Nashwan Dawood
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Industry 4.0 ◽  
Energy Demand ◽  
Large Scale ◽  
Optimal Solution ◽  
Hvac Systems ◽  
Economic Incentives ◽  
Building Stock ◽  
The Real

Demand response (DR) involves economic incentives aimed at balancing energy demand during critical demand periods. In doing so DR offers the potential to assist with grid balancing, integrate renewable energy generation and improve energy network security. Buildings account for roughly 40% of global energy consumption. Therefore, the potential for DR using building stock offers a largely untapped resource. Heating, ventilation and air conditioning (HVAC) systems provide one of the largest possible sources for DR in buildings. However, coordinating the real-time aggregated response of multiple HVAC units across large numbers of buildings and stakeholders poses a challenging problem. Leveraging upon the concepts of Industry 4.0, this paper presents a large-scale decentralized discrete optimization framework to address this problem. Specifically, the paper first focuses upon the real-time dispatch problem for individual HVAC units in the presence of a tertiary DR program. The dispatch problem is formulated as a non-linear constrained predictive control problem, and an efficient dynamic programming (DP) algorithm with fixed memory and computation time overheads is developed for its efficient solution in real-time on individual HVAC units. Subsequently, in order to coordinate dispatch among multiple HVAC units in parallel by a DR aggregator, a flexible and efficient allocation/reallocation DP algorithm is developed to extract the cost-optimal solution and generate dispatch instructions for individual units. Accurate baselining at individual unit and aggregated levels for post-settlement is considered as an integrated component of the presented algorithms. A number of calibrated simulation studies and practical experimental tests are described to verify and illustrate the performance of the proposed schemes. The results illustrate that the distributed optimization algorithm enables a scalable, flexible solution helping to deliver the provision of aggregated tertiary DR for HVAC systems for both aggregators and individual customers. The paper concludes with a discussion of future work.

scholarly journals Real-Time Procurement Strategies of a Proactive Distribution Company With Aggregator-Based Demand Response

2018 ◽  
Vol 9 (2) ◽  
pp. 766-776 ◽  
Author(s):  
Chunyu Zhang ◽  
Qi Wang ◽  
Jianhui Wang ◽  
Pierre Pinson ◽  
Juan M. Morales ◽  
...  
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Distribution Company ◽  
Procurement Strategies

The Real-Time Neural Genesis of a Punchline

2014 ◽  
Author(s):  
Irving Biederman ◽  
Ori Amir
Keyword(s):  
Real Time ◽  
The Real

Real-Time System for Sending Data from Three Clients to One Server with MATLAB

2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Information System ◽  
Real Time ◽  
Time System ◽  
Real Time System ◽  
The Real ◽  
Performance Time ◽  
Data Process ◽  
Effectiveness And Efficiency

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.

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