Optimal Coordination Strategies for Load Service Entity and Community Energy Systems Based on Centralized and Decentralized Approaches

Li, Longxi

doi:10.3390/en13123202

Cited by 5 publications

(6 citation statements)

References 36 publications

(45 reference statements)

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“…While various operational scenarios were studied, only few players (nine community groups only) were considered in the coalition formation. Similarly, Longxi Li [75] have proposed a cost-sharing scheme developed according to the Shapley value method. However, only four players are considered, thereby raising the issue of computational tractability and hence the practical application of the proposed redistribution mechanism is limited.…”

Section: B Sharing Of Energy Cost and Financial Gain In Energy Communitiesmentioning

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: B Sharing Of Energy Cost and Financial Gain In Energy Communitiesmentioning

confidence: 99%

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

et al. 2021

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“…A major challenge in DR is the coordination of the loads in distribution grids with different voltage levels. In particular, the coordination of various-size loads may hurdles achieving the expected frequency response rates of the system and reaching reserve capacity reduction goals [49], [50]. Aggregators contract with energy customers to inclining their flexible consumption or production; aggregators then amalgamate energy consumers' flexibility and renovate it for market services, e.g., for Balance Responsible Parties (BRP) [51].…”

Section: Demand Sidementioning

confidence: 99%

A Comprehensive Review on Power System Flexibility: Concept, Services, and Products

et al. 2022

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Massive proliferation of Variable Energy Resources (VERs) in modern power systems has posed a variety of challenges to the reliable operation of the power grid and has, at times, jeopardized the system flexibility. Flexibility is the system's ability to respond to and cope with the imbalances between supply and demand while managing the uncertainty and variability of VERs and maintaining the power system's security and reliability within the acceptable margins. Leveraging the system's available resources and capabilities, the system operators must take strategic actions to mitigate the impacts of VERs on the grid flexibility at a reasonable cost. The concept of flexibility is somewhat novel, which calls for profound studies and analyses to address different aspects of flexibility, but not limited to definition and characterization of standard metrics and indices to measure the power grid flexibility, flexibility-centred operation and planning models for the power grid, etc. This paper provides a comprehensive review of the state-of-the-art research on power system flexibility, including existing definitions and quantification measures, flexible resources, and flexibility products and services in electricity markets.

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“…The work revealed that, depending on the configuration in the consumer and prosumer communities, the economic gains could increase. Another case of CEMs was addressed in [30] by proposing two schemes based on the coordination of generation sources and energy storage within a community. These schemes considered game theory, Karush-Kuhn-Tucker conditions, and strong duality theorem to allow achieving a win-win situation for all participants.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The state of charge of the SB for the rest of the periods t is obtained by (29). Constraint (30) guarantees that at the end of the day t = |T| the SoC sb u,t of the SB is equal to its storage capacity, C sb u , while (31) guarantees that the SoC of SB throughout the day does not exceed the C sb u capacity.…”

Section: Energy Storage Constraintsmentioning

confidence: 99%

Intelligent Energy Management in a Prosumer Community Considering the Load Factor Enhancement

et al. 2021

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In prosumers’ communities, the use of storage batteries (SBs) as support for photovoltaic (PV) sources combined with coordination in household appliances usage guarantees several gains. Although these technologies increase the reliability of the electricity supply, the large-scale use of home appliances in periods of lower solar radiation and low electricity tariff can impair the performance of the electrical system. The appearance of new consumption peaks can lead to disturbances. Moreover, the repetition of these events in the short term can cause rapid fatigue of the assets. To address these concerns, this research proposes a mixed-integer linear programming (MILP) model aiming at the optimal operation of the SBs and the appliance usage of each prosumer, as well as a PV plant within a community to achieve the maximum load factor (LF) increase. Constraints related to the household appliances, including the electric vehicle (EV), shared PV plant, and the SBs, are considered. Uncertainties in consumption habits are simulated using a Monte Carlo algorithm. The proposed model was solved using the CPLEX solver. The effectiveness of our proposed model is evaluated with/without the LF improvement. Results corroborate the efficient performance of the proposed tool. Financial benefits are obtained for both prosumers and the energy company.

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Optimal Coordination Strategies for Load Service Entity and Community Energy Systems Based on Centralized and Decentralized Approaches

Cited by 5 publications

References 36 publications

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

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

A Comprehensive Review on Power System Flexibility: Concept, Services, and Products

Intelligent Energy Management in a Prosumer Community Considering the Load Factor Enhancement

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