The Experts below are selected from a list of 258 Experts worldwide ranked by ideXlab platform

Visa Koivunen - One of the best experts on this subject based on the ideXlab platform.

  • EUSIPCO - Cooperative game-theoretic approach to load balancing in smart grids with Community Energy Storage
    2015 23rd European Signal Processing Conference (EUSIPCO), 2015
    Co-Authors: Jayaprakash Rajasekharan, Visa Koivunen
    Abstract:

    In this paper, we propose a model for households to share Energy from Community Energy Storage (CES) such that both households and utility company benefit from CES. In addition to providing a range of ancillary grid services, CES can also be used for demand side management, to shave peaks and fill valleys in system load. We introduce a method stemming from consumer theory and cooperative game theory that uses CES to balance the load of an entire locality and manage household Energy allocations respectively. Load balancing is derived as a geometric programming problem. Each households contribution to overall non-uniformity of the load profile is modeled using a characteristic function and Shapley values are used to allocate the amount and price of surplus Energy stored in CES. The proposed method is able to perfectly balance the load while also making sure that each household is guaranteed a reduction in Energy costs.

  • Cooperative game-theoretic approach to load balancing in smart grids with Community Energy Storage
    2015 23rd European Signal Processing Conference (EUSIPCO), 2015
    Co-Authors: Jayaprakash Rajasekharan, Visa Koivunen
    Abstract:

    In this paper, we propose a model for households to share Energy from Community Energy Storage (CES) such that both households and utility company benefit from CES. In addition to providing a range of ancillary grid services, CES can also be used for demand side management, to shave peaks and fill valleys in system load. We introduce a method stemming from consumer theory and cooperative game theory that uses CES to balance the load of an entire locality and manage household Energy allocations respectively. Load balancing is derived as a geometric programming problem. Each households contribution to overall non-uniformity of the load profile is modeled using a characteristic function and Shapley values are used to allocate the amount and price of surplus Energy stored in CES. The proposed method is able to perfectly balance the load while also making sure that each household is guaranteed a reduction in Energy costs.

Chathurika P. Mediwaththe - One of the best experts on this subject based on the ideXlab platform.

  • Network-Aware Demand-side Management Framework with A Community Energy Storage System Considering Voltage Constraints
    IEEE Transactions on Power Systems, 2020
    Co-Authors: Chathurika P. Mediwaththe, Lachlan Blackhall
    Abstract:

    This paper studies the feasibility of integrating a Community Energy Storage (CES) system with rooftop photovoltaic (PV) power generation for demand-side management of a neighbourhood while maintaining the distribution network voltages within allowed limits. To this end, we develop a decentralized Energy trading system between a CES provider and users with rooftop PV systems. By leveraging a linearized branch flow model for radial distribution networks, a voltage-constrained leader-follower Stackelberg game is developed wherein the CES provider maximizes revenue and the users minimize their personal Energy costs by trading Energy with the CES system and the grid. The Stackelberg game has a unique equilibrium at which the CES provider maximizes revenue and the users minimize Energy costs at a unique Nash equilibrium. A case study, with realistic PV power generation and demand data, confirms that the Energy trading system can reduce peak Energy demand and prevent network voltage excursions, while delivering financial benefits to the users and the CES provider. Further, simulations highlight that, in comparison with a centralized system, the decentralized Energy trading system provides greater economic benefits to the users with less Energy Storage capacity.

  • ISIE - Game-theoretic demand-side management robust to non-ideal consumer behavior in smart grid
    2016 IEEE 25th International Symposium on Industrial Electronics (ISIE), 2016
    Co-Authors: Chathurika P. Mediwaththe, David C. Smith
    Abstract:

    This paper investigates effects of realistic, non-ideal, decisions of Energy users as to whether to participate in an Energy trading system proposed for demand-side management of a residential Community. The Energy trading system adopts a non-cooperative Stackelberg game between a Community Energy Storage (CES) device and users with rooftop photovoltaic panels where the CES operator is the leader and the users are the followers. Participating users determine their optimal Energy trading starting time to minimize their personal daily Energy costs while subjectively viewing their opponents' actions. Following a non-cooperative game, we study the subjective behavior of users when they decide on Energy trading starting time using prospect theory. We show that depending on the decisions of participating-time, the proposed Energy trading system has a unique Stackelberg equilibrium at which the CES operator maximizes their revenue while users minimize their personal Energy costs attaining a Nash equilibrium. Simulation results confirm that the benefits of the Energy trading system are robust to decisions of participating-time that significantly deviate from complete rationality.

  • A Dynamic Game for Electricity Load Management in Neighborhood Area Networks
    IEEE Transactions on Smart Grid, 2016
    Co-Authors: Chathurika P. Mediwaththe, Edward R. Stephens, David Smith, Anirban Mahanti
    Abstract:

    This paper develops a novel Energy trading system with a Community Energy Storage (CES) device for demand-side load management within a neighborhood area network. The Energy users in the proposed system that have their own photovoltaic power generation are allowed to trade Energy from their personal surplus with the grid and the CES device. We adopt a dynamic noncooperative repeated game with Pareto-efficient pure strategies as the decentralized approach for the users to determine optimal Energy trading amounts for the next day. This decentralized model needs minimal information exchange or communication between users. Simulation results show that our system is able to provide peak load leveling for the grid, while providing financial benefits to users. Moreover, the performance benefits of our system are robust to both inaccuracy in day-ahead power forecasts and CES battery inefficiencies.

  • Game-theoretic demand-side management robust to non-ideal consumer behavior in smart grid
    2016 IEEE 25th International Symposium on Industrial Electronics (ISIE), 2016
    Co-Authors: Chathurika P. Mediwaththe, David B. Smith
    Abstract:

    This paper investigates effects of realistic, non-ideal, decisions of Energy users as to whether to participate in an Energy trading system proposed for demand-side management of a residential Community. The Energy trading system adopts a non-cooperative Stackelberg game between a Community Energy Storage (CES) device and users with rooftop photovoltaic panels where the CES operator is the leader and the users are the followers. Participating users determine their optimal Energy trading starting time to minimize their personal daily Energy costs while subjectively viewing their opponents' actions. Following a non-cooperative game, we study the subjective behavior of users when they decide on Energy trading starting time using prospect theory. We show that depending on the decisions of participating-time, the proposed Energy trading system has a unique Stackelberg equilibrium at which the CES operator maximizes their revenue while users minimize their personal Energy costs attaining a Nash equilibrium. Simulation results confirm that the benefits of the Energy trading system are robust to decisions of participating-time that significantly deviate from complete rationality.

  • Competitive Energy Trading Framework for Demand-side Management in Neighborhood Area Networks
    arXiv: Computer Science and Game Theory, 2015
    Co-Authors: Chathurika P. Mediwaththe, Edward R. Stephens, David C. Smith, Anirban Mahanti
    Abstract:

    This paper, by comparing three potential Energy trading systems, studies the feasibility of integrating a Community Energy Storage (CES) device with consumer-owned photovoltaic (PV) systems for demand-side management of a residential neighborhood area network. We consider a fully-competitive CES operator in a non-cooperative Stackelberg game, a benevolent CES operator that has socially favorable regulations with competitive users, and a centralized cooperative CES operator that minimizes the total Community Energy cost. The former two game-theoretic systems consider that the CES operator first maximizes their revenue by setting a price signal and trading Energy with the grid. Then the users with PV panels play a non-cooperative repeated game following the actions of the CES operator to trade Energy with the CES device and the grid to minimize Energy costs. The centralized CES operator cooperates with the users to minimize the total Community Energy cost without appropriate incentives. The non-cooperative Stackelberg game with the fully-competitive CES operator has a unique Stackelberg equilibrium at which the CES operator maximizes revenue and users obtain unique Pareto-optimal Nash equilibrium CES Energy trading strategies. Extensive simulations show that the fully-competitive CES model gives the best trade-off of operating environment between the CES operator and the users.

Henny Van Der Windt - One of the best experts on this subject based on the ideXlab platform.

  • Innovation Dynamics of Socio-Technical Alignment in Community Energy Storage : The Cases of DrTen and Ecovat
    Energies, 2020
    Co-Authors: Binod Prasad Koirala, Ellen Van Oost, Henny Van Der Windt
    Abstract:

    With Energy transition gaining momentum, Energy Storage technologies are increasingly spotlighted as they can effectively handle mismatches in supply and demand. The decreasing cost of distributed Energy generation technologies and Energy Storage technologies as well as increasing demand for local flexibility is opening up new possibilities for the deployment of Energy Storage technologies in local Energy communities. In this context, Community Energy Storage has potential to better integrate Energy supply and demand at the local level and can contribute towards accommodating the needs and expectations of citizens and local communities as well as future ecological needs. However, there are techno-economical and socio-institutional challenges of integrating Energy Storage technologies in the largely centralized present Energy system, which demand socio-technical innovation. To gain insight into these challenges, this article studies the technical, demand and political articulations of new innovative local Energy Storage technologies based on an embedded case study approach. The innovation dynamics of two local Energy Storage innovations, the seasalt battery of DrTen® and the seasonal thermal Storage Ecovat®, are analysed. We adopt a co-shaping perspective for understanding innovation dynamics as a result of the socio-institutional dynamics of alignment of various actors, their articulations and the evolving network interactions. Community Energy Storage necessitates thus not only technical innovation but, simultaneously, social innovation for its successful adoption. We will assess these dynamics also from the responsible innovation framework that articulates various forms of social, environmental and public values. The socio-technical alignment of various actors, human as well as material, is central in building new socio-technical configurations in which the new Storage technology, the Community and embedded values are being developed.

  • Socio-technical alignment of Community Energy Storage
    2019
    Co-Authors: Binod Prasad Koirala, Ellen Van Oost, Henny Van Der Windt
    Abstract:

    Energy Storage technologies are going through great deal of public discourse, networking and experimentation. The decreasing cost of Energy Storage and increasing demand for local flexibility is opening up new possibilities for Energy Storage technologies deployment in Community Energy systems. In this context, Community Energy Storage can help to better integrate the heat and electricity system at the local level and can positively contribute towards Energy transitions while accommodating the needs and expectations of citizens and local communities. Yet, there are technological, societal and systemic challenges of integrating Energy Storage technologies in the largely centralized present Energy system which demands for socio-technical innovation. This article aims to align technical, demand, regulatory and political articulation of new Energy Storage technologies with potential of application in Community level such as DrTen and ECOVAT . In this regard, a number of tools has been applied such as socio-technical configuration, socio-technical scenarios, multi-path mapping. Community Energy Storage necessitates not only technical innovation but also social innovation for its wider adoption. Socio-technical alignment is crucial to show how the technology works, to validate the business model, actors collaboration, as well to improve the public perception and acceptance regarding the Community Energy Storage. Keywords— Energy transition, Community Energy Storage, responsible innovation, Energy system inegration

  • Community Energy Storage : A responsible innovation towards a sustainable Energy system?
    Applied Energy, 2018
    Co-Authors: Binod Prasad Koirala, Ellen Van Oost, Henny Van Der Windt
    Abstract:

    The decreasing cost of Energy Storage and increasing demand for local flexibility are opening up new possibilities for Energy Storage deployment at the local level. Community Energy Storage (CES) is expected to contribute positively towards Energy transition while accommodating the needs and expectations of citizens and local communities. Yet, the technological and societal challenges of integrating CES in the largely centralized present Energy system demand for socio-technical innovation. In this article, we develop and discuss several configurations of CES. Applying system innovation and socio-technical transition frameworks and conceptualizing CES as a complex socio-technical system, different dynamics of CES in the Energy systems such as coordination and interaction among actors and components of CES and the larger Energy system is explored. The responsible research and innovation (RRI) framework can provide a new discourse in design and implementation of CES, facilitating the transition to a sustainable, reliable, inclusive and affordable future Energy system.

Jayaprakash Rajasekharan - One of the best experts on this subject based on the ideXlab platform.

  • EUSIPCO - Cooperative game-theoretic approach to load balancing in smart grids with Community Energy Storage
    2015 23rd European Signal Processing Conference (EUSIPCO), 2015
    Co-Authors: Jayaprakash Rajasekharan, Visa Koivunen
    Abstract:

    In this paper, we propose a model for households to share Energy from Community Energy Storage (CES) such that both households and utility company benefit from CES. In addition to providing a range of ancillary grid services, CES can also be used for demand side management, to shave peaks and fill valleys in system load. We introduce a method stemming from consumer theory and cooperative game theory that uses CES to balance the load of an entire locality and manage household Energy allocations respectively. Load balancing is derived as a geometric programming problem. Each households contribution to overall non-uniformity of the load profile is modeled using a characteristic function and Shapley values are used to allocate the amount and price of surplus Energy stored in CES. The proposed method is able to perfectly balance the load while also making sure that each household is guaranteed a reduction in Energy costs.

  • Cooperative game-theoretic approach to load balancing in smart grids with Community Energy Storage
    2015 23rd European Signal Processing Conference (EUSIPCO), 2015
    Co-Authors: Jayaprakash Rajasekharan, Visa Koivunen
    Abstract:

    In this paper, we propose a model for households to share Energy from Community Energy Storage (CES) such that both households and utility company benefit from CES. In addition to providing a range of ancillary grid services, CES can also be used for demand side management, to shave peaks and fill valleys in system load. We introduce a method stemming from consumer theory and cooperative game theory that uses CES to balance the load of an entire locality and manage household Energy allocations respectively. Load balancing is derived as a geometric programming problem. Each households contribution to overall non-uniformity of the load profile is modeled using a characteristic function and Shapley values are used to allocate the amount and price of surplus Energy stored in CES. The proposed method is able to perfectly balance the load while also making sure that each household is guaranteed a reduction in Energy costs.

David Parra - One of the best experts on this subject based on the ideXlab platform.

  • Community Energy Storage: A smart choice for the smart grid?
    Applied Energy, 2018
    Co-Authors: Edward Barbour, Zeyad Awwad, David Parra, Marta C Gonzalez
    Abstract:

    Energy Storage can help integrate local renewable generation, however the best deployment level for Storage remains an open question. Using a data-driven approach, this paper simulates 15-min electricity consumption for households and groups them into local communities of neighbors using real locations and the road network in Cambridge, MA. We then simulate PV for these households and use this framework to study battery economics in a high PV adoption, high electricity cost scenario, in order to demonstrate significant Storage adoption. We compare the results of Storage adoption at the level of individual households to Storage adoption on the Community level using the aggregated Community demands. Under the simulated conditions, we find that the optimum Storage at the Community level was 65% of that at the level of individual households and each kWh of Community battery installed was 64–94% more effective at reducing exports from the Community to the wider network. Therefore, given the current increasing rates of residential battery deployment, our research highlights the need for Energy policy to develop market mechanisms which facilitate the deployment of Community Storage.

  • Optimum Community Energy Storage for renewable Energy and demand load management
    Applied Energy, 2017
    Co-Authors: David Parra, Stuart A Norman, Gavin S Walker, Mark Gillott
    Abstract:

    While the management of PV generation is the prime application of residential batteries, they can deliver additional services in order to help systems to become cost-competitive. They can level-out the demand and potentially reduce the cost and emissions of the Energy system by reducing demand peaks. In this study, Community Energy Storage (CES) is optimised to perform both PV Energy time-shift and demand load shifting (using retail tariffs with varying prices blocks) simultaneously. The optimisation method obtains the techno-economic benefits of CES systems as a function of the size of the Community ranging from a single home to a 100-home Community in two different scenarios for the United Kingdom: the year 2020 and a hypothetical zero emissions target. It is demonstrated that the levelised cost and levelised value of CES systems reach intermediate values to those achieved when both applications are performed independently. For the optimal performance of a battery system being charged from both local PV plants and the grid, our results suggest that the battery should be sized suitable to ensure it can fully discharge during the peak period.

  • Optimum Community Energy Storage system for demand load shifting
    Applied Energy, 2016
    Co-Authors: David Parra, Stuart A Norman, Gavin S Walker, Mark Gillott
    Abstract:

    Community Energy Storage (CES) is becoming an attractive technological option to facilitate the use of distributed renewable Energy generation, manage demand loads and decarbonise the residential sector. There is strong interest in understanding the techno-economic benefits of using CES systems, which Energy Storage technology is more suitable and the optimum CES size. In this study, the performance including equivalent full cycles and round trip efficiency of lead-acid (PbA) and lithium-ion (Li-ion) batteries performing demand load shifting are quantified as a function of the size of the Community using simulation-based optimisation. Two different retail tariffs are compared: a time-of-use tariff (Economy 7) and a real-time-pricing tariff including four periods based on the electricity prices on the wholesale market. Additionally, the economic benefits are quantified when projected to two different years: 2020 and a hypothetical zero carbon year.

  • Optimum Community Energy Storage system for demand load shifting
    Applied Energy, 2016
    Co-Authors: David Parra, Stuart A Norman, Gavin S Walker, Mark Gillott
    Abstract:

    Community Energy Storage (CES) is becoming an attractive technological option to facilitate the use of distributed renewable Energy generation, manage demand loads and decarbonise the residential sector. There is strong interest in understanding the techno-economic benefits of using CES systems, which Energy Storage technology is more suitable and the optimum CES size. In this study, the performance including equivalent full cycles and round trip efficiency of lead-acid (PbA) and lithium-ion (Li-ion) batteries performing demand load shifting are quantified as a function of the size of the Community using simulation-based optimisation. Two different retail tariffs are compared: a time-of-use tariff (Economy 7) and a real-time-pricing tariff including four periods based on the electricity prices on the wholesale market. Additionally, the economic benefits are quantified when projected to two different years: 2020 and a hypothetical zero carbon year. The findings indicate that the optimum PbA capacity was approximately twice the optimum Li-ion capacity in the case of the real-time-pricing tariff and around 1.6 times for Economy 7 for any Community size except a single home. The levelised cost followed a negative logarithmic trend while the internal rate of return followed a positive logarithmic trend as a function of the size of the Community. PbA technology reduced the levelised cost down to 0.14 £/kW h when projected to the year 2020 for the retail tariff Economy 7. CES systems were sized according to the demand load and this approximated the performance of PbA and Li-ion batteries, the capital cost per unit Energy Storage (kW h) of the latter assumed to be the double.

  • Design, testing and evaluation of a Community hydrogen Storage system for end user applications
    International Journal of Hydrogen Energy, 2016
    Co-Authors: David Parra, Mark Gillott, Gavin S Walker
    Abstract:

    Abstract A hydrogen Community Energy Storage (H-CES) system including a PEM electrolyser, metal hydride tank and PEMFC unit was designed, built and tested for a low carbon Community. The H-CES performs end user applications including PV Energy time-shift and demand load shifting. The system proved to have good flexibility and capability for mid-term and long term Energy Storage, with a round trip efficiency of 52%. Mid-term Energy Storage was demonstrated when the H-CES performed demand load shifting and hydrogen was stored for use one day later. Additionally, when PV Energy time-shift was added to demand load shifting the operational hours of the electrolyser increased by 116%. Some improvements for future H-CES systems are also discussed in this study, the consideration of the optimum electronic equipment for the technology and rating being considered a key factor to maximize the discharge rating, round trip efficiency and reliability.