@InProceedings{8553323,
  author = {J. Leithon and S. Werner and V. Koivunen},
  booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},
  title = {Renewable Energy Optimization with Centralized and Distributed Generation},
  year = {2018},
  pages = {181-185},
  abstract = {We propose optimization strategies for cooperating households with renewable energy generation and storage facilities. We consider two configurations: 1) households with shared access to an energy farm, and 2) households with their own renewable energy generator and storage device. The participants in the second configuration are allowed to exchange energy through the grid. Assuming location and time dependent electricity prices, and parametrized transfer fees, we formulate two optimization problems to minimize the energy cost incurred by the participating households in each configuration. We determine the optimal energy management strategies by solving the corresponding mathematical problems through relaxation and discretization. The proposed energy management strategies are genie-aided, and hence, they can be used to benchmark and devise online algorithms based on forecasting techniques. Finally, numerical results are provided to compare the two configurations.},
  keywords = {distributed power generation;energy management systems;optimisation;pricing;renewable energy sources;corresponding mathematical problems;renewable energy optimization;distributed generation;optimization strategies;renewable energy generation;storage facilities;energy farm;renewable energy generator;storage device;time dependent electricity prices;parametrized transfer fees;optimization problems;energy cost;participating households;optimal energy management strategies;forecasting techniques;online algorithms;discretization;centralized generation;Electrostatic discharges;Optimization;Renewable energy sources;Energy storage;Signal processing;Production;Renewable energy;optimization;cooperation},
  doi = {10.23919/EUSIPCO.2018.8553323},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570437075.pdf},
}

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The participants in the second configuration are allowed to exchange energy through the grid. Assuming location and time dependent electricity prices, and parametrized transfer fees, we formulate two optimization problems to minimize the energy cost incurred by the participating households in each configuration. We determine the optimal energy management strategies by solving the corresponding mathematical problems through relaxation and discretization. The proposed energy management strategies are genie-aided, and hence, they can be used to benchmark and devise online algorithms based on forecasting techniques. Finally, numerical results are provided to compare the two configurations.","keywords":"distributed power generation;energy management systems;optimisation;pricing;renewable energy sources;corresponding mathematical problems;renewable energy optimization;distributed generation;optimization strategies;renewable energy generation;storage facilities;energy farm;renewable energy generator;storage device;time dependent electricity prices;parametrized transfer fees;optimization problems;energy cost;participating households;optimal energy management strategies;forecasting techniques;online algorithms;discretization;centralized generation;Electrostatic discharges;Optimization;Renewable energy sources;Energy storage;Signal processing;Production;Renewable energy;optimization;cooperation","doi":"10.23919/EUSIPCO.2018.8553323","issn":"2076-1465","month":"Sep.","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570437075.pdf","bibtex":"@InProceedings{8553323,\n author = {J. Leithon and S. Werner and V. Koivunen},\n booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},\n title = {Renewable Energy Optimization with Centralized and Distributed Generation},\n year = {2018},\n pages = {181-185},\n abstract = {We propose optimization strategies for cooperating households with renewable energy generation and storage facilities. We consider two configurations: 1) households with shared access to an energy farm, and 2) households with their own renewable energy generator and storage device. The participants in the second configuration are allowed to exchange energy through the grid. Assuming location and time dependent electricity prices, and parametrized transfer fees, we formulate two optimization problems to minimize the energy cost incurred by the participating households in each configuration. We determine the optimal energy management strategies by solving the corresponding mathematical problems through relaxation and discretization. The proposed energy management strategies are genie-aided, and hence, they can be used to benchmark and devise online algorithms based on forecasting techniques. Finally, numerical results are provided to compare the two configurations.},\n keywords = {distributed power generation;energy management systems;optimisation;pricing;renewable energy sources;corresponding mathematical problems;renewable energy optimization;distributed generation;optimization strategies;renewable energy generation;storage facilities;energy farm;renewable energy generator;storage device;time dependent electricity prices;parametrized transfer fees;optimization problems;energy cost;participating households;optimal energy management strategies;forecasting techniques;online algorithms;discretization;centralized generation;Electrostatic discharges;Optimization;Renewable energy sources;Energy storage;Signal processing;Production;Renewable energy;optimization;cooperation},\n doi = {10.23919/EUSIPCO.2018.8553323},\n issn = {2076-1465},\n month = {Sep.},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570437075.pdf},\n}\n\n","author_short":["Leithon, J.","Werner, S.","Koivunen, V."],"key":"8553323","id":"8553323","bibbaseid":"leithon-werner-koivunen-renewableenergyoptimizationwithcentralizedanddistributedgeneration-2018","role":"author","urls":{"Paper":"https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570437075.pdf"},"keyword":["distributed power generation;energy management systems;optimisation;pricing;renewable energy sources;corresponding mathematical problems;renewable energy optimization;distributed generation;optimization strategies;renewable energy generation;storage facilities;energy farm;renewable energy generator;storage device;time dependent electricity prices;parametrized transfer fees;optimization problems;energy cost;participating households;optimal energy management strategies;forecasting techniques;online algorithms;discretization;centralized generation;Electrostatic discharges;Optimization;Renewable energy sources;Energy storage;Signal processing;Production;Renewable energy;optimization;cooperation"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/Roznn/EUSIPCO/main/eusipco2018url.bib","creationDate":"2021-02-13T15:38:40.389Z","downloads":0,"keywords":["distributed power generation;energy management systems;optimisation;pricing;renewable energy sources;corresponding mathematical problems;renewable energy optimization;distributed generation;optimization strategies;renewable energy generation;storage facilities;energy farm;renewable energy generator;storage device;time dependent electricity prices;parametrized transfer fees;optimization problems;energy cost;participating households;optimal energy management strategies;forecasting techniques;online algorithms;discretization;centralized generation;electrostatic discharges;optimization;renewable energy sources;energy storage;signal processing;production;renewable energy;optimization;cooperation"],"search_terms":["renewable","energy","optimization","centralized","distributed","generation","leithon","werner","koivunen"],"title":"Renewable Energy Optimization with Centralized and Distributed Generation","year":2018,"dataSources":["yiZioZximP7hphDpY","iuBeKSmaES2fHcEE9"]}