Weekly bidding strategy and selling price determination for a energy internet zone
Energy internet zones, which supply and manage multiple energy kinds to customers simultaneously, attract more and more attentions for its high energy efficiency. This paper discussed the optimal weekly bidding strategy for a energy internet zone in midterm timescale. The optimal amount of bilateral...
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Elsevier
2021
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oai:doaj.org-article:a296414ee7564693ac223e6fc4bda6ac2021-11-26T04:33:33ZWeekly bidding strategy and selling price determination for a energy internet zone2352-484710.1016/j.egyr.2021.08.053https://doaj.org/article/a296414ee7564693ac223e6fc4bda6ac2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721006557https://doaj.org/toc/2352-4847Energy internet zones, which supply and manage multiple energy kinds to customers simultaneously, attract more and more attentions for its high energy efficiency. This paper discussed the optimal weekly bidding strategy for a energy internet zone in midterm timescale. The optimal amount of bilateral contract and selling prices of multiple energy kinds can be obtained for expected profit maximization. Stochastic optimization is adopted to manage the uncertainties of electricity market prices and load demands. A energy internet zone in shanghai, China is adopted to illustrate the proposed model. The result shows that the energy internet zones prefer to supply the base load by signing bilateral contracts. The signed contracts increase with the decrease of contract prices and local photovoltaic system’s installed capacity.Yangyang LiuJiangxin ZhouRenjie DaiQian LouFeng YuElsevierarticleEnergy internet zoneBilateral contractBidding strategyPool marketSelling priceElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 218-223 (2021) |
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Energy internet zone Bilateral contract Bidding strategy Pool market Selling price Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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Energy internet zone Bilateral contract Bidding strategy Pool market Selling price Electrical engineering. Electronics. Nuclear engineering TK1-9971 Yangyang Liu Jiangxin Zhou Renjie Dai Qian Lou Feng Yu Weekly bidding strategy and selling price determination for a energy internet zone |
description |
Energy internet zones, which supply and manage multiple energy kinds to customers simultaneously, attract more and more attentions for its high energy efficiency. This paper discussed the optimal weekly bidding strategy for a energy internet zone in midterm timescale. The optimal amount of bilateral contract and selling prices of multiple energy kinds can be obtained for expected profit maximization. Stochastic optimization is adopted to manage the uncertainties of electricity market prices and load demands. A energy internet zone in shanghai, China is adopted to illustrate the proposed model. The result shows that the energy internet zones prefer to supply the base load by signing bilateral contracts. The signed contracts increase with the decrease of contract prices and local photovoltaic system’s installed capacity. |
format |
article |
author |
Yangyang Liu Jiangxin Zhou Renjie Dai Qian Lou Feng Yu |
author_facet |
Yangyang Liu Jiangxin Zhou Renjie Dai Qian Lou Feng Yu |
author_sort |
Yangyang Liu |
title |
Weekly bidding strategy and selling price determination for a energy internet zone |
title_short |
Weekly bidding strategy and selling price determination for a energy internet zone |
title_full |
Weekly bidding strategy and selling price determination for a energy internet zone |
title_fullStr |
Weekly bidding strategy and selling price determination for a energy internet zone |
title_full_unstemmed |
Weekly bidding strategy and selling price determination for a energy internet zone |
title_sort |
weekly bidding strategy and selling price determination for a energy internet zone |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/a296414ee7564693ac223e6fc4bda6ac |
work_keys_str_mv |
AT yangyangliu weeklybiddingstrategyandsellingpricedeterminationforaenergyinternetzone AT jiangxinzhou weeklybiddingstrategyandsellingpricedeterminationforaenergyinternetzone AT renjiedai weeklybiddingstrategyandsellingpricedeterminationforaenergyinternetzone AT qianlou weeklybiddingstrategyandsellingpricedeterminationforaenergyinternetzone AT fengyu weeklybiddingstrategyandsellingpricedeterminationforaenergyinternetzone |
_version_ |
1718409858449932288 |