Analysis of DSM's impacts on electric energy loss in distribution system using VPI model

Khanh, Bach Quoc

doi:10.1109/pes.2011.6039196

Cited by 3 publications

(4 citation statements)

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“…The work, however, does not consider any role of renewable and focuses only on energy management. Table 6 shows the uniqueness of the present work with respect to studies done by other authors [30,[41][42][43][44] in a comparative manner.…”

Section: Discussion Of the Results With Comparative Analysismentioning

confidence: 86%

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Object-Oriented Usability Indices for Multi-Objective Demand Side Management Using Teaching-Learning Based Optimization

Singh

Jha

2019

Energies

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This paper proposes Object-Oriented Usability Indices (OOUI) for multi-objective Demand Side Management (DSM). These indices quantify the achievements of multi-objective DSM in a power network. DSM can be considered as a method adopted by utilities to shed some load during peak load hours. Usually, there are service contracts, and the curtailments or dimming of load are automatically done by service providers based on contract provisions. This paper formulates three indices, namely peak power shaving, renewable energy integration, and an overall usability index. The first two indices indicate the amount of peak load shaving and integration of renewable energy, while the third one combines the impact of both indices and quantifies the overall benefit achieved through DSM. The application of the proposed indices is presented through simulation performed in a grid-tied microgrid environment for a multi-objective DSM formulation. The adopted microgrid structure consists of three units of diesel generators and two renewable energy sources. Simulation has been done using MATLAB software. Teaching-Learning-Based Optimization (TLBO) is adopted as the optimization tool due to its simplicity and independency of algorithm-specific control parameters. Five different cases of renewable energy availability with results validate the efficiency of the proposed approach. The results indicate the usefulness in determining the suitable condition regarding DSM application.Energies 2019, 12, 370 2 of 25 problems is the main area of research for system operators. DSM has appeared as a potential solution for many of these problems.Any scheme that involves alteration in operation of a complex system should be reliable to a certain level. A reliability study of a power system with DSM is presented in [1]. Since a plan for load curtailment can only be prepared when load forecasting is reliable, stochastic optimization and Gray Wolf Optimization (GWO)-based load forecasting and subsequent DSM programs are presented in [2,3]. Load shifting is also an alternative method of performing DSM. In this aspect, a corrective load shifting program is found to be a better option to conventional preventive load shifting [4,5]. In another work, loads are categorized in rigid and flexible types, and DSM is performed keeping in mind the adaptability of the flexible loads [6]. A novel application of DSM to smoothing the peaks of load curve in a small demand area in the Sultanate of Oman is described in [7]. The key contribution was load profile prediction based upon which the DSM program was prepared. The DSM program developed here handles the issue of variable power generation from solar energy-based generation. In a work, the uncertainty due to wind power generation and its impact on the DSM scheme has been discussed [8]. The methodology discusses the fulfillment of two key objectives of DSM, i.e., minimization of emission and cost. Battery storage and diesel-based energy sources are also employed with solar or wind generators to improve the reliability ...

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Section: Discussion Of the Results With Comparative Analysismentioning

confidence: 86%

“…The VPI model as proposed in [41] is further extended and analyzed for a big power network in [42]. The influence of DSM is calculated and evaluated based on load reduction only.…”

Section: Discussion Of the Results With Comparative Analysismentioning

confidence: 99%

Object-Oriented Usability Indices for Multi-Objective Demand Side Management Using Teaching-Learning Based Optimization

Singh

Jha

2019

Energies

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“…The benefits of load shifting from peak to the off‐peak period are well known and important from the viewpoint of demand response. In fact, by reducing peak demand, DSM will have different effects such as reduction the number of outages, improvement the reliability of the power system, reduction fuel consumption, and reduction the harmful activities for the environment …”

Section: Introductionmentioning

confidence: 99%

“…In fact, by reducing peak demand, DSM will have different effects such as reduction the number of outages, improvement the reliability of the power system, reduction fuel consumption, and reduction the harmful activities for the environment. [1][2][3] The DSM can play a significant role in planning the generation, distribution, and transmission networks. 4,5 Because the planning stage of implementing DSM programs is very important in the power system, the planners should study the effect of DSM programs on the power system and then apply these programs.…”

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confidence: 99%

Cost-worth analytical assessment of demand-side management (DSM) programs, considering energy losses with the structural generation decomposition: A market-based approach

Ghaznavi

Hajiabadi

2018

Int Trans Electr Energ Syst

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Summary This paper presents an integrated framework for the cost‐worth analytical assessment of demand‐side management (DSM) programs, considering energy losses. This goal is achieved in 3 steps. At first, after solving the market problem, the sensitivity of each line flow to the each load bus is analyzed by using the structural generation decomposition, considering network congestion. Then, the Loss Index is analytically defined by using the sensitivity factors. Finally, the energy loss and the cost variation due to applying DSM programs are analytically decomposed. The energy loss variation is divided up into 2 terms: the energy loss variation at pick hours and off‐pick period. The total cost variation consists of 3 terms: the cost of energy losses, market, and DSM activities. The proposed approach can be used to indicate the appropriate busses and network for applying DSM programs considering the energy losses. The numerical results of Institute of Electrical and Electronics Engineers 24‐bus test system demonstrate the efficiency of the method.

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Multi-objective Optimization for the Management of the Response to the Electrical Demand in Commercial Users

García

Millán

2017

2017 International Conference on Information Systems and Computer Science (INCISCOS)

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Analysis of DSM's impacts on electric energy loss in distribution system using VPI model

Cited by 3 publications

References 15 publications

Object-Oriented Usability Indices for Multi-Objective Demand Side Management Using Teaching-Learning Based Optimization

Object-Oriented Usability Indices for Multi-Objective Demand Side Management Using Teaching-Learning Based Optimization

Cost-worth analytical assessment of demand-side management (DSM) programs, considering energy losses with the structural generation decomposition: A market-based approach

Multi-objective Optimization for the Management of the Response to the Electrical Demand in Commercial Users

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