| 1. |
- Antoniadou-Plytaria, Kyriaki, 1989, et al.
(författare)
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Chalmers Campus as a Testbed for Intelligent Grids and Local Energy Systems
- 2019
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Ingår i: IEEE International Conference on Smart Energy Systems and Technologies (SEST). - 9781728111568
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Konferensbidrag (refereegranskat)abstract
- This paper presents an overview of a testbed for intelligent distribution grids, local energy systems, and energy flexible buildings, which is being developed at the campus of Chalmers University of Technology in Gothenburg, Sweden. It describes the test sites, the functionalities, and the planned demonstration activities within the scope of on-going research projects. The proposed demonstrations include a local energy market platform, energy management solutions for microgrids and smart buildings, as well as voltage control in distribution grids. The paper aims to show how the physical energy supply systems of the university are being adapted to integrate the communication and control set-ups that provide the technical requirements for smart grid interoperability. As an example, the on-site implementation of remote battery control is presented, where initial results show the feasibility and potential benefits of the external control. Finally, challenges and lessons learned during the development of the testbed are highlighted.
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| 2. |
- Fotouhi Ghazvini, Mohammad Ali, 1983, et al.
(författare)
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A Centralized Building Energy Management System for Residential Energy Hubs
- 2019
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Ingår i: SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies.
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Konferensbidrag (refereegranskat)abstract
- This paper proposes a framework for energy management in modern smart buildings under the context of integrated energy systems. The added value of this work is using the rolling time window framework for decision-making, along with the inclusion of the peak load tariffs. The rolling time window is used to send updated control commands near to real-time. A Swedish multi-family residential building is used in the case study. The results of the case study verify the effectiveness and the validity of the proposed model. The results show that by integrating the electricity and the district heating network with a 11 kW heat pump, the total energy cost reduces around 27%.
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| 3. |
- Fotouhi Ghazvini, Mohammad Ali, 1983, et al.
(författare)
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A Close-to-Real-time Energy Management System for Smart Residential Buildings
- 2019
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Ingår i: 2019 IEEE Milan PowerTech, PowerTech 2019. ; 2019, s. 1-6
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Konferensbidrag (refereegranskat)abstract
- This paper proposes a close to real-time energy management system for multi-family residential buildings. The aim of the model is to optimally manage the controllable energy sources in a rolling time window to reduce the total energy cost of the building, considering the time variable electricity prices. A mixed-integer linear programming model is developed to control the washing machines, dishwashers and the energy storage system in a smart building. The performance of the model is evaluated through simulating the operation of an energy management system during one day using the measurement data from a real building located within Chalmers University of Technology campus. The results show that the proposed model can help reduce the building's energy cost by 9% and reduce the peak demand 18.78% using the resource flexibilities in the building, without causing discomfort for the tenants.
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| 4. |
- Fotouhi Ghazvini, Mohammad Ali, 1983, et al.
(författare)
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A rolling horizon approach for the optimal real-time dispatch of energy sources in smart residential buildings
- 2019
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Konferensbidrag (refereegranskat)abstract
- This paper develops a close-to-real-time energy management system for a smart multi-family residential building with PV production and energy storage systems. The model aims to control the operation of controllable residential appliances to minimize the total energy procurement cost while ensuring the users’ satisfaction. A mixed-integer linear programming model is developed to solve the optimization problem in a rolling time window. The results of the case study verify the effectiveness and validity of the proposed model. Implementing the proposed approach in a residential building reduces the peak demand by 24.5% and the total energy procurement cost by 4.3%.
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| 5. |
- Agathokleous, Christos, 1993, et al.
(författare)
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Stochastic Operation Scheduling Model for a Swedish Prosumer with PV and BESS in Nordic Day-Ahead Electricity Market
- 2019
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Ingår i: 2019 IEEE Milan PowerTech, PowerTech 2019.
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Konferensbidrag (refereegranskat)abstract
- In this paper, an optimal stochastic operation scheduling model is proposed for a prosumer owning photovoltaic (PV) facility coupled with a Battery Energy Storage System (BESS). The objective of the model is to maximize the prosumer’s expected profits. A two-stage stochastic mixed-integer nonlinear optimization (SMINLP) approach is used to cope with the parameters’ uncertainties. Artificial Neural Networks (ANN) are used to forecast the markets’ prices and the standard scenario reduction algorithms are applied to handle the computational tractability of the problem. The model is applied to a case study using data from the Nordic electricity markets and historical PV production data from the Chalmers University of Technology campus, considering a scaled up 5MWp power capacity. The results show that the proposed approach could increase the revenue for the prosumer by up to 11.6% as compared to the case without any strategy. Furthermore, the sensitivity analysis of BESS’s size on the expected profit shows that increasing BESS size could lead to an increase in the net profits.
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| 6. |
- Antoniadou-Plytaria, Kyriaki, 1989, et al.
(författare)
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Energy Scheduling Strategies for Grid-connected Microgrids: A Case Study on Chalmers Campus
- 2019
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Ingår i: Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019.
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Konferensbidrag (refereegranskat)abstract
- This paper focuses on the optimal energy management of grid-connected microgrids with battery energy storage systems. The microgrid energy management and the optimal power flow of the distribution network are formulated as mixed-integer linear optimization problems to evaluate microgrid energy scheduling strategies including cost minimization, maximum use of own resources, and minimum energy exchange with the upstream network. The real distribution network of Chalmers University of Technology campus is used as a case study. The study results show that economic optimization yields an annual microgrid cost reduction of 4%. Alternatively, if the microgrid minimizes the energy exchange, virtual islanding operation (zero energy exchange) for 3211 hours can be achieved within a year. The results also present the effects on the operation and cost of the distribution system and highlight a trade-off between microgrid cost minimization and battery lifetime.
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| 7. |
- Bouloumpasis, Ioannis, 1987, et al.
(författare)
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Congestion Management using Local Flexibility Markets: Recent Development and Challenges
- 2019
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Ingår i: Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019. ; 2019
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Konferensbidrag (refereegranskat)abstract
- Increasing amount of renewable based distributed generation at distribution systems, leads to an increased need for active distribution network management dealing with local network congestion and voltage issues. Development of local flexibility markets aims to provide a market-based solution to these issues. This paper presents a comprehensive review of proposed approaches towards markets exploiting the flexibilities from the demand-side. Efforts have been made on presenting a systematic overview of market design, including e.g. framework, participation, bidding and clearing mechanisms, of local flexibility market proposals developed in recent years. The implementation and regulatory issues and challenges are also discussed. The paper also presents the conceptual framework of the local flexibility service market which is currently being developed within UNITED-GRID project. This proposal aims to provide a holistic approach on local service markets, so that Distribution System Operators (DSOs) are provided with a market-based instrument to manage their networks efficiently.
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| 8. |
- Göransson, Martin, 1991, et al.
(författare)
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Cost-benefit analysis of battery storage investment for microgrid of Chalmers university campus using OPF framework
- 2017
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Ingår i: 2017 IEEE Manchester PowerTech, Powertech 2017; Manchester; United Kingdom; 18 June 2017 through 22 June 2017. - 9781509042371
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Konferensbidrag (refereegranskat)abstract
- This paper presents a cost-benefit approach for evaluation of battery energy storage (BES) options to be installed in the electrical distribution grid of Chalmers University from the microgrid perspective. The evaluation is based on a multiperiod ac optimal power flow model applied for microgrid, which is referred to as the micro-OPF, with the objective function being the total grid operation cost. The model is developed for the real 12 kV grid of Chalmers. The micro-OPF is used as the calculation tool for the cost-benefit analysis where the benefit-to-cost ratios (BCR) of battery options in the grid in a year over the annualized cost of battery are evaluated for various options of battery sizes in the grid. The best location for the battery storage was however determined with the minimum loss criterion. The BCRs demonstrate the cost-effectiveness of the battery in microgrid operation. Battery options considered include both distributed option and a centralized option. It has been found that the best location of battery storage at Chalmers grid is at the point of connection to upstream grid of Gothenburg Energy distribution system for the centralized option. The study results show that the benefit gained from using battery storage increases with the size of battery, and the size with the highest BCR was found to be 2 MWh when considering the grid-connected mode of operation. The optimal size when the grid is in island mode is however dependent on island mode capability.
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| 9. |
- Mirzaei Alavijeh, Nima, 1993, et al.
(författare)
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Impact of Internal Energy Exchange Cost on Integrated Community Energy Systems
- 2019
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Ingår i: iSPEC 2019 - 2019 IEEE Sustainable Power and Energy Conference: Grid Modernization for Energy Revolution, Proceedings. - 9781728149301 ; , s. 2138-2143
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Konferensbidrag (refereegranskat)abstract
- Integration of more distributed renewable energy resources (RES) technologies in the past few years has led to reliability and stability issues in the energy systems due to the mismatch between the demand and the intermittent RES production. Integrated community energy systems (ICES) have been discussed as part of the solution for these challenges. In this paper, we have assessed the impact of the internal energy exchange (IEE) fee in ICESs with a model-based approach. The impact is considered for the performance of ICESs and the behaviour of different prosumers’ assets such as batteries, thermal energy storage, auxiliary heat pumps and demand response. A case study has been carried out on a district in Gothenburg, Sweden and the results show that the ICESs’ performance and the assets’ behaviour are highly affected by IEE fee and the ICES chooses different cost saving strategies at different IEE fees. For the case study, the community’s cost was reduced by 30%, and the electricity import and export by 45.6% and 97.2% respectively when low IEE fee were considered.
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| 10. |
- Srivastava, Ankur, 1989, et al.
(författare)
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A Congestion Forecast Framework for Distribution Systems with High Penetration of PV and PEVs
- 2019
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Ingår i: 2019 IEEE Milan PowerTech, PowerTech 2019.
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Konferensbidrag (refereegranskat)abstract
- This paper presents a congestion forecast framework for electrical distribution systems with high penetration of solar photovoltaic and plug-in electric vehicles. The framework is based on probabilistic power flow to account for the uncertainties in photovoltaic production and load demand. The proposed framework has been implemented and tested using the data of the real distribution grid of Chalmers University of Technology campus. Cases studies have been carried out using the framework to analyse the impact of different local production levels and operating modes of solar photovoltaic inverter. The results have shown that cumulative probability for network congestion in branches and transformers would increase by 30% and 20% respectively, when the level of local PV generation, demand and PEVs demand to increase by 100%, 95% and 100% respectively. Also, results have shown that network congestion in branches and transformers is 4% and 8% respectively, more likely to occur in the constant-V mode as compared to constant-pf mode. These results can help distribution system operators to predict any upcoming congestion in their system and subsequently help them in taking suitable actions in order to mitigate congestion.
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