Trading Model Combining Electricity, Heating, and Cooling Under Multi-energy Demand Response
Autor: | Shiyu Liu, Chao Yan, Gengfeng Li, Zhaohong Bie, Fangdi Zeng |
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Rok vydání: | 2020 |
Předmět: |
TK1001-1841
Computer science 020209 energy TJ807-830 Energy Engineering and Power Technology 02 engineering and technology Renewable energy sources Demand response Production of electric energy or power. Powerplants. Central stations trading model 0202 electrical engineering electronic engineering information engineering Energy transformation multi-energy service provider (MESP) Consumption (economics) Renewable Energy Sustainability and the Environment business.industry 020208 electrical & electronic engineering Economic dispatch Environmental economics Service provider multi-energy consumer (MEC) Purchasing Demand response (DR) Electricity business Energy (signal processing) |
Zdroj: | Journal of Modern Power Systems and Clean Energy, Vol 8, Iss 1, Pp 133-141 (2020) |
ISSN: | 2196-5625 |
DOI: | 10.35833/mpce.2018.000454 |
Popis: | The emerging multi-energy system has brought new challenges and opportunities to energy business worldwide. To address the issues in multi-energy trading, this paper proposes an electricity, heating, and cooling trading model for the interaction between the multi-energy service provider (MESP) and multi-energy consumer (MEC) by using bi-level programming. In the upper level, the model instructs the MESP to make decisions on the optimal energy purchasing scheme and energy economic dispatch. In the lower level, optimal consuming patterns of different energies with the given retail prices are modeled for the MEC. Specifically, a novel multi-energy demand response (DR) program that employs energy conversion devices is proposed. Numerical results show that MEC can reduce its consumption cost via the multi-energy DR. Meanwhile, MESP benefits greatly from the flexibilities of energy conversion. This research can provide theoretical support for the future development of multi-energy trading. |
Databáze: | OpenAIRE |
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