Utilizing End-User Flexibility for Demand Management Under Capacity Subscription Tariffs

Bjarghov, Sigurd; Doorman, Gerard

doi:10.1109/eem.2018.8469832

Cited by 5 publications

(7 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The spread in costs is surprisingly low compared to the spread in optimal subscribed capacity. However, this is fairly logical, as a higher subscription level results in high capacity costs and lower excess energy costs and vice versa, which is coherent with the results from [4].…”

Section: Stochastic Approachsupporting

confidence: 61%

“…The value of cut load (C V CL ) is a function of how much load is disconnected. We use the formulation in (3), which was also used in [4].…”

Section: Discomfort Costsmentioning

confidence: 99%

“…Ideally, these years should present a statistically representative sample for the expected weather conditions. The consumer's objective function is given by (4).…”

Section: Stochastic Optimal Static Subscribed Capacity Problemmentioning

confidence: 99%

“…In previous work by the authors, "static" and "dynamic" CS tariffs were analysed for a single customer for one year [4], where the results showed mainly two things: sub-optimal static subscribed capacity levels do not critically influence annual costs, and the dynamic optimal subscribed capacity level depends heavily on amount of activations, which is unknown ex ante. Furthermore, the need for a more extensive study covering more customers and uncertainty in demand was highlighted.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

See 3 more Smart Citations

Grid Tariffs Based on Capacity Subscription: Multi Year Analysis on Metered Consumer Data

Bjarghov¹,

Farahmand²,

Doorman³

2021

Preprint

Self Cite

View full text Add to dashboard Cite

While volume-based grid tariffs have been the norm for residential consumers, capacity-based tariffs will become more relevant with the increasing electrification of society. A further development is capacity subscription, where consumers are financially penalised for exceeding their subscribed capacity, or alternatively their demand is limited to the subscribed level. The penalty or limitation can either be static (always active) or dynamic, meaning that it is only activated when there are active grid constraints. We investigate the cost impact for static and dynamic capacity subscription tariffs, for 84 consumers based on six years of historical load data. We use several approaches for finding the optimal subscription level ex ante. The results show that annual costs remain both stable and similar for most consumers, with a few exceptions for those that have high peak demand. In the case of a physical limitation, it is important to use a stochastic approach for the optimal subscription level to avoid excessive demand limitations. Facing increased peak loads due to electrification, regulators should consider a move to capacity-based tariffs in order to reduce cross-subsidisation between consumers and increase cost reflectivity without impacting the DSO cost recovery.

show abstract

Section: Stochastic Approachsupporting

confidence: 61%

“…The value of cut load (C V CL ) is a function of how much load is disconnected. We use the formulation in (3), which was also used in [4].…”

Section: Discomfort Costsmentioning

confidence: 99%

“…Ideally, these years should present a statistically representative sample for the expected weather conditions. The consumer's objective function is given by (4).…”

Section: Stochastic Optimal Static Subscribed Capacity Problemmentioning

confidence: 99%

Section: Introduction 1backgroundmentioning

confidence: 99%

See 2 more Smart Citations

Grid Tariffs Based on Capacity Subscription: Multi Year Analysis on Metered Consumer Data

Bjarghov¹,

Farahmand²,

Doorman³

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Capacity based tariffs were first described in 2005 [3], but have recently gained renewed attention in Norway as the Norwegian regulator has suggested capacity based tariffs to deal with the mentioned challenges [4]. Previous work on the impact of storage when finding optimal subscribed capacity has been done [5], but without coordination with other end-users.…”

Section: Introductionmentioning

confidence: 99%

Peer-to-peer trading under subscribed capacity tariffs - an equilibrium approach

Bjarghov

Askeland

Backe

2020

2020 17th International Conference on the European Energy Market (EEM)

Self Cite

View full text Add to dashboard Cite

Local peer-to-peer (P2P) markets are envisioned as a promising market design to integrate the increasing number of agents in the distribution grid. To incentivize grid-friendly consumption profiles, we suggest a subscribed capacity tariff where end-users pay for a capacity level with a high excess energy term. The P2P market functions as a capacity market where end-users buy capacity from other agents when needed. We demonstrate the concept by formulating the local P2P market equilibrium problem as a mixed complementarity problem (MCP). Analysis of a neighborhood case study shows that both aggregated peak load and agent costs decreases.

show abstract

Defining Three Distribution System Scenarios for Microgrid Applications

Fosso

Molinas

et al. 2020

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)

View full text Add to dashboard Cite

Power systems, especially distribution systems, are undergoing the most drastic overhauls with the growing integration of renewable energy and digitalization. One of the most efficient technological solutions to address the challenges the distribution system faces today, is the formation of microgrids. With heterogeneous driving forces from policy, regulation, system operation, infrastructure developer, aggregator, and end-user, how microgrid will evolve and develop in the future distribution system remains an open question and deserve closer scrutiny. In this paper, a brief state of the art of current microgrid design is introduced considering knowledge and experience from both practitioner and academia. Based on a simple foresight method, three foreseeable scenarios for the future distribution system are depicted. Aspects related to its use cases, energy management system features, and market models will be discussed for each possible scenario. This will shed light on the future research and development of microgrid applications.

show abstract

Utilizing End-User Flexibility for Demand Management Under Capacity Subscription Tariffs

Cited by 5 publications

References 2 publications

Grid Tariffs Based on Capacity Subscription: Multi Year Analysis on Metered Consumer Data

Grid Tariffs Based on Capacity Subscription: Multi Year Analysis on Metered Consumer Data

Peer-to-peer trading under subscribed capacity tariffs - an equilibrium approach

Defining Three Distribution System Scenarios for Microgrid Applications

Contact Info

Product

Resources

About