scholarly journals Impact of Demand-Side Management on the Reliability of Generation Systems

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2155 ◽  
Author(s):  
Hussein Jumma Jabir ◽  
Jiashen Teh ◽  
Dahaman Ishak ◽  
Hamza Abunima
Keyword(s):  
Power Supply ◽  
Sequential Monte Carlo ◽  
Demand Side Management ◽  
Management Program ◽  
Electrical Network ◽  
Demand Side ◽  
Peak Period ◽  
Load Shifting ◽  
Shifting Strategy ◽  
Unused Capacity

The load shifting strategy is a form of demand side management program suitable for increasing the reliability of power supply in an electrical network. It functions by clipping the load demand that is above an operator-defined level, at which time is known as peak period, and replaces it at off-peak periods. The load shifting strategy is conventionally performed using the preventive load shifting (PLS) program. In this paper, the corrective load shifting (CLS) program is proven as the better alternative. PLS is implemented when power systems experience contingencies that jeopardise the reliability of the power supply, whereas CLS is implemented only when the inadequacy of the power supply is encountered. The disadvantages of the PLS approach are twofold. First, the clipped energy cannot be totally recovered when it is more than the unused capacity of the off-peak period. The unused capacity is the maximum amount of extra load that can be filled before exceeding the operator-defined level. Second, the PLS approach performs load curtailment without discrimination. This means that load clipping is performed as long as the load is above the operator-defined level even if the power supply is adequate. The CLS program has none of these disadvantages because it is implemented only when there is power supply inadequacy, during which the amount of load clipping is mostly much smaller than the unused capacity of the off-peak period. The performance of the CLS was compared with the PLS by considering chronological load model, duty cycle and the probability of start-up failure for peaking and cycling generators, planned maintenance of the generators and load forecast uncertainty. A newly proposed expected-energy-not-recovered (EENR) index and the well-known expected-energy-not-supplied (EENS) were used to evaluate the performance of proposed CLS. Due to the chronological factor and huge combinations of power system states, the sequential Monte Carlo was employed in this study. The results from this paper show that the proposed CLS yields lower EENS and EENR than PLS and is, therefore, a more robust strategy to be implemented.

Issues in forecasting demand-side management program impacts

1985 ◽  
Vol 73 (10) ◽  
pp. 1496-1502 ◽  
Author(s):  
B.A. Smith ◽  
M.R. McRae ◽  
E.L. Tabakin
Keyword(s):  
Demand Side Management ◽  
Management Program ◽  
Demand Side

Demand Side Management for Reducing Rolling Blackouts Due to Power Supply Deficit in Sumatra

2014 ◽  
Vol 69 (5) ◽  
Author(s):  
Husna Syadli ◽  
Md Pauzi Abdullah ◽  
Muhammad Yusri Hassan ◽  
Faridah Hussin
Keyword(s):  
Power Systems ◽  
Customer Service ◽  
Power Supply ◽  
Management Strategies ◽  
Peak Load ◽  
Demand Side Management ◽  
Demand Side ◽  
Demand Growth ◽  
Save Energy ◽  
The Impact

When the high electricity demand growth is not matched by growth in generating sufficient capacity, deficit cannot be avoided. In Sumatera, power outages of up to 6 hours per day are part of the power crisis experienced. To date, deficits experienced by Sumatera require better management strategy and operation of electric power systems, taking into account the security system, reliability and customer service. This paper briefly discusses the impact of rolling blackouts on the community's economy and proposed demand-side management strategies as short term measure to overcome the power supply deficit in Sumatera. From the analysis, electricity savings in household equipment can save energy consumption by 98.79 MW at peak load and 97.55 MW for off peak load time. 

A Scalable Energy–Economy Model for State-Level Policy Analysis Applied to a Demand-Side Management Program

2020 ◽  
Vol 34 (4) ◽  
pp. 372-386
Author(s):  
Zachary A. Wendling ◽  
David C. Warren ◽  
Barry M. Rubin ◽  
Sanya Carley ◽  
Kenneth R. Richards
Keyword(s):  
Green Building ◽  
State Level ◽  
Demand Side Management ◽  
Management Program ◽  
Demand Side ◽  
Low Carbon ◽  
Economic Sectors ◽  
Endogenous Variables ◽  
Performance Results ◽  
Low Carbon Energy

Over the past two decades, states and cities implemented low-carbon energy development, renewable portfolio standards, demand-side management (DSM), renewable energy production incentives, green building requirements, regional carbon trading agreements, and other energy-based economic development initiatives. Yet the dearth of state-level and substate-level models makes it difficult to predict the effects of such actions. This article addresses this shortcoming by presenting the performance results of the new Indiana Scalable Economy and Energy Model (IN-SEEM)—a model utilizing a dynamic, simultaneous equations framework—and demonstrates the model’s capabilities with an analysis of electricity price increases from a DSM program in the state of Indiana. Overall performance of the model is strong, with high adjusted R2 values and low mean absolute percent errors for most of 30 endogenous variables. A DSM price increase analysis finds variation in impact across the state’s 10 major economic sectors and small changes in energy consumption.

scholarly journals Multiobjective Optimization for Demand Side Management Program in Smart Grid

2018 ◽  
Vol 14 (4) ◽  
pp. 1482-1490 ◽  
Author(s):  
Dan Li ◽  
Wei-Yu Chiu ◽  
Hongjian Sun ◽  
H. Vincent Poor
Keyword(s):  
Multiobjective Optimization ◽  
Smart Grid ◽  
Demand Side Management ◽  
Management Program ◽  
Demand Side

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.

Study of Nanjing Demand Side Management Based on Cost-Benefit Analysis - Take Green Lighting as an Example

2015 ◽  
Vol 737 ◽  
pp. 260-268
Author(s):  
Qiu Hua Liu ◽  
Kun Xu ◽  
Hao Min Wang
Keyword(s):  
Cost Effectiveness ◽  
Electric Power ◽  
Development Strategy ◽  
Power Supply ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Demand Side Management ◽  
Demand Side ◽  
Electric Power Supply ◽  
The Cost

Electric power supply is one of the most important aspects of China’s national energy development strategy (NEDS). As major economic unit as well as major energy consumer, Jiangsu province is facing serious energy supply challenges. Under such circumstances, positive actions are taken by local government in respond to NEDS which put energy saving in the first place, and demand side management (DSM) is implemented. DSM is an important measure which can release rush hour electric supply pressure, enhance energy efficiency, optimize electric power utilization, and it is beneficial for sustainable development. This paper is based on the analysis of the current DSM situation of Nanjing, and green lighting is taken as an example. An empirical analysis is given to cost-effectiveness of the implementation of green lighting. Finally, the conclusion that the cost-effectiveness of the implementation of green lighting is economically viable to power supply companies, electric customers and the whole society is drawn.

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