Integration of Demand and Supply Side Management strategies in Generation Expansion Planning

Karunanithi, K.; Saravanan, S.; Prabakar, B.R.; Kannan, S.; Thangaraj, C.

doi:10.1016/j.rser.2017.01.017

Cited by 56 publications

(24 citation statements)

References 12 publications

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“…In order to improve the software, the version released in 2015 included the dump energy penalty and State Renewable Portfolio Standard (RPS) constraints. Some other commercially available software that have found application with respect to energy expansion include Long‐range Energy Alternatives Planning (LEAP),, PLEXOS Integrated Energy Model, URBS, MARKAL/TIMES …”

Section: Optimisation Techniques In Gepmentioning

confidence: 99%

“…DSM therefore has the potential to provide substantial environmental, economic, and technical (increased reliability) benefits. DSM activities are categorized as either energy reduction or load management programmes . According to Karunanithi et al, “a realistic power system planning needs integration of both DSM and Supply Side Management (SSM) which involve simultaneous consideration of both quantitative and qualitative issues like plant mix, costs and reliability of power supply.” Martins et al presented a multiple‐objective LP model for power GEP, which incorporated DSM.…”

Section: Environmental Considerationsmentioning

confidence: 99%

“…Their model embedded investment and operation costs associated with DSM and the costs of lost revenues due to DSM actions. Some other studies have also included the aspect of DSM in GEP model …”

Section: Environmental Considerationsmentioning

confidence: 99%

“…[17][18][19][20] More recently, the inclusion of demand side management (DSM) and RE in the generation mix has been identified as an effective approach to addressing energy efficiency, conservations, CO 2 emission, and environmental concerns. 12,[21][22][23] This is aimed at limiting emissions while ensuring the conservation of conventional energy sources. 24 Apart from these issues, the effect of uncertainty is also important.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

2019

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Summary Generation expansion planning (GEP) is a power plant mix problem that identifies what, where, when, and how new generating facilities should be installed and when old units be retired over a specific planning horizon. GEP ensures that the quantity of electricity generated matches the electricity demand throughout the planning horizon. This kind of planning is of importance because most production and service delivery is dependent on availability of electricity. Over the years, the traditional GEP approaches have evolved to produce more realistic models and new solution algorithms. For example, with the agitation for green environment, the inclusion of renewable energy plants and energy storage in the traditional GEP model is gradually gaining attention. In this regards, a handful of research has been conducted to identify the optimal expansion plans based on various energy‐related perspectives. The appraisal and classification of studies under these topics are necessary to provide insights for further works in GEP studies. This article therefore presents a comprehensive up‐to‐date review of GEP studies. Result from the survey shows that the integration of demand side management, energy storage systems (ESSs), and short‐term operational characteristics of power plants in GEP models can significantly improve flexibility of power system networks and cause a change in energy production and the optimal capacity mix. Furthermore, this article was able to identify that to effectively integrate ESS into the generation expansion plan, a high temporal resolution dimension is essential. It also provides a policy discussion with regard to the implementation of GEP. This survey provides a broad background to explore new research areas in order to improve the presently available GEP models.

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Section: Optimisation Techniques In Gepmentioning

confidence: 99%

Section: Environmental Considerationsmentioning

confidence: 99%

Section: Environmental Considerationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

2019

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“…In order to cope with the rapidly increasing energy demand in many countries, modern electric power system planning relies on two fundamental concepts, namely Supply Side Management (SSM) and Demand Side Management (DSM) [1]. In the first case, the demand increment is dealt with by power capacity expansion.…”

Section: Introductionmentioning

confidence: 99%

An Improved Fuzzy C-Means Algorithm for the Implementation of Demand Side Management Measures

et al. 2017

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Abstract:Load profiling refers to a procedure that leads to the formulation of daily load curves and consumer classes regarding the similarity of the curve shapes. This procedure incorporates a set of unsupervised machine learning algorithms. While many crisp clustering algorithms have been proposed for grouping load curves into clusters, only one soft clustering algorithm is utilized for the aforementioned purpose, namely the Fuzzy C-Means (FCM) algorithm. Since the benefits of soft clustering are demonstrated in a variety of applications, the potential of introducing a novel modification of the FCM in the electricity consumer clustering process is examined. Additionally, this paper proposes a novel Demand Side Management (DSM) strategy for load management of consumers that are eligible for the implementation of Real-Time Pricing (RTP) schemes. The DSM strategy is formulated as a constrained optimization problem that can be easily solved and therefore, making it a useful tool for retailers' decision-making framework in competitive electricity markets.

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Applications of Energy Storage in Modern Power System through Demand‐Side Management

Gupta

Verma

2023

Energy Storage Technologies in Grid Modernization

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Integration of Demand and Supply Side Management strategies in Generation Expansion Planning

Cited by 56 publications

References 12 publications

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

An Improved Fuzzy C-Means Algorithm for the Implementation of Demand Side Management Measures

Applications of Energy Storage in Modern Power System through Demand‐Side Management

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