scholarly journals Optimizing the time of use tariff with different scenarios of load management

2018 ◽  
Vol 20 (K7) ◽  
pp. 15-20
Author(s):  
Binh Thi Thanh Phan ◽  
Qui Minh Le ◽  
Cuong Viet Vo
Keyword(s):  
Demand Response ◽  
Peak Load ◽  
Electricity Consumption ◽  
Pso Algorithm ◽  
Load Management ◽  
Load Reduction ◽  
Load Curve ◽  
Demand Response Program ◽  
Unit Of Measurement ◽  
Effective Instrument

Demand Response program is applied in many countries as an effective instrument to regulate the electricity consumption. In this program, time of use (TOU) tariff is used widely. Optimal TOU pricing according to different objectives was mentioned in this paper such as peak load reduction, improving load curve, energy conservation, avoiding a new peak load. This is a problem with multiobjective functions in different unit of measurement and is solved by PSO algorithm. An example to find optimal TOU tariff for one utility is also presented in this paper.

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

Peak load management based on hybrid power generation and demand response

Energy ◽  
2018 ◽  
Vol 163 ◽  
pp. 969-985 ◽  
Author(s):  
Dongmin Yu ◽  
Huanan liu ◽  
Charis Bresser
Keyword(s):  
Power Generation ◽  
Demand Response ◽  
Peak Load ◽  
Load Management ◽  
Hybrid Power

A Model of Continuous Optimized Power Flow with DR

2013 ◽  
Vol 805-806 ◽  
pp. 452-457
Author(s):  
Wen Bo Mao ◽  
Ke Wang ◽  
Jian Tao Liu
Keyword(s):  
Power System ◽  
Demand Response ◽  
Cost Reduction ◽  
Power Flow ◽  
Peak Load ◽  
Load Reduction ◽  
Interruptible Load ◽  
Time Price ◽  
The Cost ◽  
Reduction Cost

A model of continuous optimized power flow (COPF) is proposed, concluding demand response (DR). According to different implementation mechanisms, a series of DR models are built, such as: time of use (TOU), real time price (RTP), critical peak price (CPP), and interruptible load (IL). The influences of these kinds of DR on power system are analyzed, including peak load reduction, cost reduction, and reservation optimization. The results show that: DR can cut the cost, reduce the peak load, and promote the reservation optimization.

Extending IEC 61968 to Support Wide Area Demand Response Program

2014 ◽  
Vol 701-702 ◽  
pp. 1337-1342
Author(s):  
Fan Luo ◽  
Ke Qing Xiong ◽  
Bin Li ◽  
Ming Zhong ◽  
Hua Guang Yan
Keyword(s):  
Demand Response ◽  
Distribution System ◽  
Wide Area ◽  
Load Management ◽  
Area Network ◽  
Home Area Network ◽  
Demand Response Program ◽  
Home Area ◽  
Operational Aspects ◽  
Controlled Object

Demand response provides many benefits in financial and operational aspects for the power user, load management unit and the grid operator. In this paper, we have extended the traditional specification in distribution system automation IEC 61968 to support further demand response service. There are some basic modules and packets have been defined to update traditional metering device, and also the newly added controlled object have been involved. At last, we have take time of use price to illustrate the performance of a wide area demand system by integrating a new controlling algorithm and the results show that it can significantly improve the performance of electricity devices in a home area network.

scholarly journals Developing an Algorithm to Consider Mutliple Demand Response Objectives

2018 ◽  
Vol 8 (1) ◽  
pp. 2621-2626 ◽  
Author(s):  
D. Behrens ◽  
T. Schoormann ◽  
R. Knackstedt
Keyword(s):  
Electric Vehicles ◽  
Demand Response ◽  
Peak Load ◽  
Cost Savings ◽  
Research Field ◽  
Multiple Objectives ◽  
Load Reduction ◽  
Solution Strategy ◽  
Research And Practice ◽  
Technological Improvement

Due to technological improvement and changing environment, energy grids face various challenges, which, for example, deal with integrating new appliances such as electric vehicles and photovoltaic. Managing such grids has become increasingly important for research and practice, since, for example, grid reliability and cost benefits are endangered. Demand response (DR) is one possibility to contribute to this crucial task by shifting and managing energy loads in particular. Realizing DR thereby can address multiple objectives (such as cost savings, peak load reduction and flattening the load profile) to obtain various goals. However, current research lacks algorithms that address multiple DR objectives sufficiently. This paper aims to design a multi-objective DR optimization algorithm and to purpose a solution strategy. We therefore first investigate the research field and existing solutions, and then design an algorithm suitable for taking multiple objectives into account. The algorithm has a predictable runtime and guarantees termination.

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