Fair coordination of distributed energy resources with Volt-Var control and PV curtailment

Gebbran, Daniel; Mhanna, Sleiman; Ma, Yiju; Chapman, Archie C.; Verbič, Gregor

doi:10.1016/j.apenergy.2021.116546

Cited by 57 publications

(34 citation statements)

References 36 publications

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“…Finally, several approaches have been proposed recently to integrate the network constraints such as electric cables thermal limits and voltage excursions in the market structures and trading strategies of the energy communities [6], [65]- [71]. However, most of the existing studies on the technoeconomic analysis of individually-owned versus communityowned assets (including the authors' own prior work [21]) have not considered the network constraints.…”

Section: Related Work a State Of Art In Energy Community Modellingmentioning

confidence: 99%

Modeling Economic Sharing of Joint Assets in Community Energy Projects Under LV Network Constraints

et al. 2021

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The trend of decentralization of energy services has given rise to community energy systems. These energy communities aim to maximize the self-consumption of local renewable energy generated and stored in assets that are typically connected to low-voltage (LV) distribution networks. Energy community schemes often involve jointly owned assets such as community-owned solar photo-voltaic panels (PVs), wind turbines and/or shared battery storage. This raises the question of how these assets should be controlled in real-time, and how the energy outputs from these jointly owned assets should be shared fairly among heterogeneous community members. Crucially, such real-time control and fair sharing of energy must also consider the technical constraints of the community, such as the local LV network characteristics, voltage limits and power ratings of electric cables and transformers. In this paper, we design and analyze a heuristic-based battery control algorithm that considers the influence of battery life degradation, and the resultant increase in local renewable energy consumption within local operating constraints of the LV network. We provide a model that first studies the techno-economic benefits of community-owned versus individually-owned energy assets considering the network/grid constraints. Then, using the methodology and principles from cooperative game theory, we propose a redistribution model for benefits in a community based on the marginal contribution of each household. The results from our study demonstrate that the redistribution mechanism is fairer and computationally tractable compared to the existing state-of-the-art methods. Thus, our methodology is more scalable with respect to modelling the economic sharing of joint assets in community energy systems.

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Section: Related Work a State Of Art In Energy Community Modellingmentioning

confidence: 99%

Modeling Economic Sharing of Joint Assets in Community Energy Projects Under LV Network Constraints

et al. 2021

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“…However, assigning a large degradation weight might cause largely similar DoD levels across the fleet, which will also reduce the flexibility and the cost from the perspective of the operator. Still, this is a known property in multiobjective optimization problems [15].…”

Section: Resultsmentioning

confidence: 99%

Electrical Vehicle Fleet Routing Accounting for Dynamic Battery Degradation

Gebbran¹,

Rich²,

Dragičević³

2022

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The increasing uptake of electrical vehicles (EVs) has increased the awareness of battery degradation costs and how they can be minimized. However, from a planning perspective it is difficult to integrate battery degradation models into existing route planning models and to assess how policies that aim at reducing battery degradation affect route planning costs and degradation across the fleet. In this paper, a simple transportation vehicle routing problem (VRP) is formulated as a mixed-integer nonlinear problem (MINLP), with a modification that allows monitoring the maximum and minimum depth-of-discharge (DoD) of the entire fleet. This allows us to measure the battery health degradation during the online optimization process. The results show that accounting for the impact of different route characteristics on battery degradation can have an impact on the route planning of the entire fleet as well as the battery degradation for all vehicles. The latter is achieved by forcing vehicles to adapt to certain DoD boundaries in the long term.

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“…A similar scheme is adopted in [16], where the authors perform a game-theoretic analysis of a fairnessbased compensation scheme. The Rawlsian social choice function was considered in [17] and [18] for various but related use cases where fairuess is considered important. The work in [18], in particular, configures the fairness objective with an incentive compatible mechanism so that each resource truthfully reports its flexibility capabilities to the DSO, and also eagerly follows the DSO's dispatch instruction.…”

Section: A Problem Definitionmentioning

confidence: 99%

“…Since the conic relaxation in (6) might not be guaranteed, a recursive procedure has been implemented obtaining convex hulls as in [22]. where ( 16) limits the depth of charge, (17) ensures that the final state of charge is equal to the initializing value SOCi,o (which is assumed as known), and (18) limits the maximum power injection.…”

mentioning

confidence: 99%