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Operational reliabi...
Operational reliability of multi-energy customers considering service-based self-scheduling
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- Wang, S. (author)
- Zhejiang University, Hangzhou, China,Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Zhejiang, Peoples R China.
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- Shao, C. (author)
- Zhejiang University, Hangzhou, China,Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Zhejiang, Peoples R China.
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- Ding, Y. (author)
- Zhejiang University, Hangzhou, China,Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Zhejiang, Peoples R China.
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- Yan, Jinyue, 1959- (author)
- KTH,Mälardalens högskola,Framtidens energi,Royal Institute of Technology, Stockholm, Sweden,Energiprocesser,Malardalen Univ, Sch Business Soc & Energy, Vasteras, Sweden
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Zhejiang University, Hangzhou, China Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Zhejiang, Peoples R China (creator_code:org_t)
- Elsevier Ltd, 2019
- 2019
- English.
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In: Applied Energy. - : Elsevier Ltd. - 0306-2619 .- 1872-9118. ; 254
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- The developments of energy storage and substitution techniques have made it possible for customers to self-schedule their energy consumption behaviors, to better satisfy their demands in response to uncertain supply conditions. The interdependency of multiple energies, the chronological characteristics, and uncertainties in the self-scheduling context bring about additional complexities to secure the reliable energy requirements of multi-energy customers. As a necessary and challenging task, the operational reliability of multi-energy customers is tackled in this paper. Considering that the consumed energies eventually come down to the energy-related services, the self-scheduling of multi-energy customers is implemented from the perspective of specific energy-related services rather than energy carriers. Firstly, an optimal self-scheduling model for multi-energy customers is developed with the consideration of chronological service curtailment, service shifting and possible failures during service shifting. In the optimal self-scheduling model, the costs of service curtailment and shifting are formulated based on the proposed evaluation method. The time-sequential Monte Carlo simulation approach is applied to model the chronological volatilities of multi-energy demands over the entire study period, embedded with a scenario reduction technique to reduce the computational efforts. Taking full account of the possible scenarios, the quantitative reliability indices of the multi-energy customers can be obtained. The results in test cases demonstrate that the expected energy not supplied of the multi-energy customer drops significantly by 56.32% with the self-scheduling strategy. It can be also concluded that, the self-scheduling and its inherent uncertainties do have significant impacts on the operational reliability of the multi-energy customer.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Energiteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Energy Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Energisystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Energy Systems (hsv//eng)
Keyword
- Multi-energy customer
- Multi-energy flexible service
- Operational reliability
- Self-schedule
- Time-sequential Monte Carlo simulation
- Customer satisfaction
- Energy utilization
- Intelligent systems
- Reliability
- Sales
- Scheduling
- Flexible service
- Multi energy
- Time sequential Monte Carlo Simulation
- Monte Carlo methods
- energy efficiency
- energy storage
- energy use
- Monte Carlo analysis
- operations technology
- reliability analysis
- uncertainty analysis
Publication and Content Type
- ref (subject category)
- art (subject category)
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