Customer characterization options for improving the tariff offer

Chicco, Gianfranco; Napoli, Roberto; Postolache, Petru; Scutariu, M.; Toader, Cornel

doi:10.1109/tpwrs.2002.807085

Cited by 246 publications

(89 citation statements)

References 8 publications

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“…As explained in Section 3, the total shifted consumption from period t is limited by the constraint represented in Eq. (7). In this case, the sum of 140 kW (7 ⁄ 20 kW) will be limited to 63.47 kW (PMax DR t (t,ct) for ct = 1, according to Table 1).…”

Section: Case Studymentioning

confidence: 99%

“…In the case of the work presented in [7] the focus is given to the tariffs' definition while addressing the costumers' characterization. In the referred three works it is commonly addressed the small size resources use.…”

Section: Introductionmentioning

confidence: 99%

“…In [4], it is presented a review on the DR integration in smart grids, showing the current success cases and the barriers. However, the full integration of DR in a future more competitive context can only be achieved by intensive participation of small size DR resources [5][6][7]. The work presented in [5] focuses on the standpoint of a distribution network operator in the context of a consumption reduction need, whereas the work presented in [6] centres on the dispatch of DR and Distributed work presented in [13] brings a framework that integrates demand and supply resources at the microgrid level.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Constrained consumption shifting management in the distributed energy resources scheduling considering demand response

Faria

Vale

Baptista

2015

Energy Conversion and Management

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a b s t r a c tDemand response concept has been gaining increasing importance while the success of several recent implementations makes this resource benefits unquestionable. This happens in a power systems operation environment that also considers an intensive use of distributed generation. However, more adequate approaches and models are needed in order to address the small size consumers and producers aggregation, while taking into account these resources goals. The present paper focuses on the demand response programs and distributed generation resources management by a Virtual Power Player that optimally aims to minimize its operation costs taking the consumption shifting constraints into account. The impact of the consumption shifting in the distributed generation resources schedule is also considered. The methodology is applied to three scenarios based on 218 consumers and 4 types of distributed generation, in a time frame of 96 periods.

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Section: Case Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Constrained consumption shifting management in the distributed energy resources scheduling considering demand response

Faria

Vale

Baptista

2015

Energy Conversion and Management

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“…Many different methods, ranging from clustering methods to neural networks and data mining, have been adopted for energy load profiling (Chicco et al, 2003). In residential sector, detailed energy load profiles are "an important prerequisite for the accurate analysis of new low-carbon technologies and strategies, such as distributed generation and demand-side management" (Richardson et al, 2008(Richardson et al, , p.1560).…”

Section: Research Line 3: Load Profilingmentioning

confidence: 99%

A Three-Dimensional Model of Residential Energy Consumer Archetypes for Local Energy Policy Design in the UK

2012

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This paper reviews major studies in three traditional lines of research in residential energy consumption in the UK, i.e. economic/infrastructure, behaviour, and load profiling. Based on the review the paper proposes a three-dimensional model for archetyping residential energy consumers in the UK by considering property energy efficiency levels, the greenness of household behaviour of using energy, and the duration of property daytime occupancy.With the proposed model, eight archetypes of residential energy consumers in the UK have been identified. They are: pioneer greens, follower greens, concerned greens, home stayers, unconscientious wasters, regular wasters, daytime wasters, and disengaged wasters. Using a case study, these archetypes of residential energy consumers demonstrate the robustness of the 3-D model in aiding local energy policy/intervention design in the UK.

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“…In fact, the full integration of DR also requires the participation of small size resources in electricity markets' DR programs, which are usually oriented to large size resources [4]. Adequate DR resources aggregation approaches are therefore necessary [5]. In fact, as DR, DG, and storage units, for example, can influence the demand, adequate scheduling of these resources is needed.…”

Section: Introductionmentioning

confidence: 99%

Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation

2015

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Abstract:Further improvements in demand response programs implementation are needed in order to take full advantage of this resource, namely for the participation in energy and reserve market products, requiring adequate aggregation and remuneration of small size resources. The present paper focuses on SPIDER, a demand response simulation that has been improved in order to simulate demand response, including realistic power system simulation. For illustration of the simulator's capabilities, the present paper is proposes a methodology focusing on the aggregation of consumers and generators, providing adequate tolls for the demand response program's adoption by evolved players. The methodology proposed in the present paper focuses on a Virtual Power Player that manages and aggregates the available demand response and distributed generation resources in order to satisfy the required electrical energy demand and reserve. The aggregation of resources is addressed by the use of clustering algorithms, and operation costs for the VPP are minimized. The presented case study is based on a set of 32 consumers and 66 distributed generation units, running on 180 distinct operation scenarios.

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Customer characterization options for improving the tariff offer

Cited by 246 publications

References 8 publications

Constrained consumption shifting management in the distributed energy resources scheduling considering demand response

Constrained consumption shifting management in the distributed energy resources scheduling considering demand response

A Three-Dimensional Model of Residential Energy Consumer Archetypes for Local Energy Policy Design in the UK

Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation

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