scholarly journals Composite Reliability Evaluation of Load Demand Side Management and Dynamic Thermal Rating Systems

Energies ◽  
2018 ◽  
Vol 11 (2) ◽  
pp. 466 ◽  
Author(s):  
Jiashen Teh ◽  
Chia Ooi ◽  
Yu-Huei Cheng ◽  
Muhammad Atiqi Mohd Zainuri ◽  
Ching-Ming Lai
Keyword(s):  
Demand Side Management ◽  
Reliability Evaluation ◽  
Demand Side ◽  
Rating Systems ◽  
Load Demand ◽  
Composite Reliability

Study the Influence of the Implementation of Demand Side Management on Generation System Reliability

2014 ◽  
Vol 1044-1045 ◽  
pp. 1789-1798
Author(s):  
Le Feng Cheng ◽  
Bai Xi Chen ◽  
Tao Yu
Keyword(s):  
System Reliability ◽  
Sequential Monte Carlo ◽  
Demand Side Management ◽  
Reliability Evaluation ◽  
Test System ◽  
Energy Utilization ◽  
Demand Side ◽  
Generation System ◽  
Improve Energy Efficiency ◽  
Generation Capacity

At present, the influence of implementing demand side management on generation system reliability was studied by more and more academics. Demand side management can improve energy efficiency and reduce the maximum load demand, which is equivalent to an indirect increase in power generation capacity of the system, thus can improve the reliability of generation system. This paper firstly introduced the reliability index system of generation system, then the reliability analysis model which includes generation capacity model and load model was respectively built, and then the non-sequential Monte Carlo simulation method applied in generation system reliability evaluation was analyzed. Secondly, adopted the simulation to quantify and set the IEEE reliability testing system RTS (Reliability Test System) as an example to analyze the effect of demand side management on generation system reliability evaluation, the analysis results show that the implementation of DSM can improve the energy utilization and reliability of generation system, thus the system can be more secure, economic and reliable to supply electric power for electricity users.

scholarly journals A Review on Demand Side Management Applications, Techniques, and Potential Energy and Cost saving

2021 ◽  
Vol 20 (1) ◽  
pp. 21-33
Author(s):  
Hossam Eldin Hamed Shalaby
Keyword(s):  
Dynamic Pricing ◽  
Energy Savings ◽  
Peak Load ◽  
Cost Effective ◽  
Demand Side Management ◽  
Special Focus ◽  
Demand Side ◽  
Renewable Energy Resources ◽  
Load Demand ◽  
Battery Energy

Electrical peak load demand all over the world is always anticipated to grow, which is challenging electrical utility to supply such increasing load demand in a cost effective, reliable and sustainable manner. Thus, there is a need to study some of load management (LM) techniques employed to minimize energy consumption, reduce consumers' electricity bills and decrease the greenhouse gas emissions responsible for global warming. This paper presents a review of several recent LM strategies and optimization algorithms in different domains. The review is complemented by tabulating several demand side management (DSM) techniques with a specific view on the used demand response (DR) programs, key finding and benefits gained. A special focus is directed to the communication protocols and wireless technology, incorporation of renewable energy resources (RERs), battery energy storage (BES), home appliances scheduling and power quality applications. The outcome of this review reveals that the real time pricing (RTP) is the most efficient price-based mechanism program (PBP), whilst time of use (TOU) is the basic PBP and easiest to implement. Energy efficiency programs have proved the highest influential impact on the annual energy saving over the other dynamic pricing mechanism programs. Through a forecasted proposal of future study, DSM proved tremendous potential annual energy savings, peak demand savings, and investment cost rates within different consumption sectors progressively up to year 2030.

Battery Management Based on Predictive Control and Demand-Side Management

2016 ◽  
pp. 149-180
Author(s):  
Deepranjan Dongol ◽  
Elmar Bollin ◽  
Thomas Feldmann
Keyword(s):  
Energy Management ◽  
Predictive Control ◽  
Management Strategy ◽  
Demand Side Management ◽  
Battery Management ◽  
Demand Side ◽  
Energy Management Strategy ◽  
Battery System ◽  
Surplus Energy ◽  
Load Demand

The chapter is intended to introduce the predictive control based energy management strategy for the grid connected renewable systems in order to achieve an effective demand side management strategy. Grid connected Photovoltaic battery system as being popular and extensively used has been discussed in this chapter .Conventionally, battery storage has been used to store surplus energy produced and meet the load demand with this stored energy. However, such systems do not respond to the grid conditions and violate grid constraints of permissible grid voltage and frequency limits. The operation of the battery depends on the forecast of photovoltaic output and the load demand and as such a predictive control based energy management strategy is needed. A simple optimization problem for such scenarios has also been formulated in great detail to provide readers with an idea for solving such problems. The results of simulations are also discussed.

scholarly journals Demand Side Management for Commercial Area Using Teaching Learning Based Optimization

2021 ◽  
Author(s):  
Dhanshri Narayane ◽  
Amarjeet S Pandey ◽  
D B Pardeshi ◽  
Renuka Rasal
Keyword(s):  
Smart Grid ◽  
Management Strategy ◽  
Optimization Problems ◽  
Demand Side Management ◽  
Demand Side ◽  
Load Shifting ◽  
Load Demand ◽  
Commercial Area ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning

In Smart Grid Demand side management (DSM) plays a crucial role which permits customers to form educated selections concerning their energy consumption. It allows the strength to companies lessen the height load call for and reshape the burden profile. Most of the present demand aspect management ways utilized in ancient energy management system is with specific techniques and algorithms. In addition, the present ways handle solely a restricted range of governable a lot of restricted varieties of loads. This paper covers a requirement aspect management strategy supported load shifting technique for demand aspect management of future sensible grids with an outsized range of devices of many sorts. The day-in advance load shifting technique is proposed and mathematically formulated as a minimization problem. Teaching Learning Based Optimization (TLBO) is an efficient optimization is proposed. Considering Smart Grid with commercial customer, Simulations has been carried out. The respective results emphasis that the considered demand side management strategy attains substantial savings, whereas suppresses the mark of load demand of the smart grid. The outcome is by improve in sustainability of the smart grid, in addition to reduced standard operational value and carbon emission levels. The proposed algorithms can be easily applied to various optimization problems.

scholarly journals Integrated Design and Control of Renewable Energy Sources for Energy Management

2020 ◽  
Vol 10 (3) ◽  
pp. 5857-5863 ◽  
Author(s):  
T. V. Krishna ◽  
M. K. Maharana ◽  
C. K. Panigrahi
Keyword(s):  
Energy Management ◽  
Management System ◽  
Renewable Energy Sources ◽  
Peak Load ◽  
Demand Side Management ◽  
Energy Sources ◽  
Demand Side ◽  
Peak Shaving ◽  
Load Demand ◽  
Dc Bus

Growing population and expanding industry set off the demand for electrical energy and issues, such as the problem of peak load demand, emerge. To balance the supply and load demand problem, the energy management system has the vital role of Electric Peak shaving with the integration of microgrid into the utility grid. The combination of demand-side management with storable energy sources helps us resolve the matters concerned with the peak load demand. However, in a microgrid, whenever the distributed energy sources are interconnected, the DC bus link voltage will vary due to the inherent behavior of each source as they mainly depend on geographical conditions. This work proposes voltage droop control strategy to keep the DC bus link voltage at a constant value. Also, it gives an overlook of the present power sector scenario of India and a reassessment of the demand side management system and how it is utilized in electrical peak shaving.

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