Optimal Operation for Park Integrated Energy System Considering Interruptible Loads
Xitong Fangzhen Xuebao / Journal of System Simulation, ISSN: 1004-731X, Vol: 34, Issue: 4, Page: 817-825
2022
- 6Citations
- 37Usage
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations6
- Citation Indexes6
- Usage37
- Downloads36
- Abstract Views1
Article Description
The operating mode of thermal power generation units has certain limitations in peak shaving capacity. Interruptible load (IL), as a power resource to be tapped, can be applied to the park integrated energy management and microgrid systems to guide users to reduce peak electricity consumption. The IL function is introduced into the park integrated energy system with combined heat and power units to improve the system's peak shaving ability, and the corresponding model is established with the optimization goal of economy. Taking an ecological park of northern region as the example, the adaptive chaotic particle swarm algorithm is used in the simulation. The results show that the park microgrid after the introduction IL project can perform peak-shaving operation, and the operating economy and energy supply flexibility are greatly improved. Compared with the traditional algorithms, the adaptive chaotic particle swarm optimization algorithm is better in the optimization result accuracy and optimization efficiency.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85129604100&origin=inward; http://dx.doi.org/10.16182/j.issn1004731x.joss.20-0893; https://dc-china-simulation.researchcommons.org/journal/vol34/iss4/17; https://dc-china-simulation.researchcommons.org/cgi/viewcontent.cgi?article=1275&context=journal; http://sciencechina.cn/gw.jsp?action=cited_outline.jsp&type=1&id=7194548&internal_id=7194548&from=elsevier; https://dx.doi.org/10.16182/j.issn1004731x.joss.20-0893; https://www.chndoi.org/Resolution/Handler?doi=10.16182/j.issn1004731x.joss.20-0893
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know