Market Equilibrium Based on Cloud-edge Collaboration

Tong Cheng; Haiwang Zhong; Qing Xia

doi:10.17775/CSEEJPES.2022.07130

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Market Equilibrium Based on Cloud-edge Collaboration

Regular Papers | 更新时间：2026-10-15

- Market Equilibrium Based on Cloud-edge Collaboration
- CSEE Journal of Power and Energy Systems Vol. 10, Issue 1, Pages: 96-104(2024)
- 作者机构：
  
  Department of Electrical Engineering, State Key Laboratory of Power Systems, Tsinghua University,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.07130
  CLC：
- Published：01 January 2024
- 稿件说明：
移动端阅览
Tong Cheng, Haiwang Zhong, Qing Xia. Market Equilibrium Based on Cloud-edge Collaboration[J]. CSEE Journal of Power and Energy Systems, 2024, 10(1): 96-104.
DOI：

Tong Cheng, Haiwang Zhong, Qing Xia. Market Equilibrium Based on Cloud-edge Collaboration[J]. CSEE Journal of Power and Energy Systems, 2024, 10(1): 96-104. DOI： 10.17775/CSEEJPES.2022.07130.

摘要

Abstract

Market participants can only bid with lagged information disclosure under the existing market mechanism

which can lead to information asymmetry and irrational market behavior

thus influencing market efficiency. To promote rational bidding behavior of market participants and improve market efficiency

a novel electricity market mechanism based on cloudedge collaboration is proposed in this paper. Critical market information

called residual demand curve

is published to market participants in real-time on the cloud side

while participants on the edge side are allowed to adjust their bids according to the information disclosure prior to closure gate. The proposed mechanism can encourage rational bids in an incentive-compatible way through the process of dynamic equilibrium while protecting participants' privacy. This paper further formulates the mathematical model of market equilibrium to simulate the process of each market participant's strategic bidding behavior towards equilibrium. A case study based on the IEEE 30-bus system shows the proposed market mechanism can effectively guide bidding behavior of market participants

while condensing exchanged information and protecting privacy of participants.

关键词

Keywords

references

3. PJM. Data directory . [Online ] . Available: https://www.pjm.com/markets-and-operations/data-dictionary.

4. ERCOT. Market information . [Online ] . Available: http://www.ercot.com/mktinfo/dam.

5. Nordpool. Market data . [Online ] . Available: https://www.nordpoolgroup.com/en/Market-data1/#/nordic/table.

6. South China Energy Regulatory Office of the National Energy Administration. Notice on soliciting opinions on rules for the southern electricity spot market (starting from guangdong) . [Online ] . Available: http://nfj.nea.gov.cn/adminContent/initViewContent.do?pk=402881e56579be6301658d7123c2001a.

7. Shanxi Supervision Bureau of the National Energy Administration. Notice on the solicitation of Shanxi electricity market information disclosure guidelines . [Online ] . Available: http://sxb.nea.gov.cn/adminContent/initViewContent.do?pk=297eb7f472ca167b0172e43cb2290012.

8. North China Supervision Bureau of the National Energy Administration. Notice on printing the rules for electricity market in Western Part of Inner Mongolia . [Online ] . Available: http://hbj.nea.gov.cn/adminContent/initViewCont ent.do?pk=000000006b42ce98016b4ca51af00019.

11. AEMO. Data (NEM). [Online ] . Available: https://www.aemo.com.au/energy-systems/electricity/national-electricity-market-nem/data-nem/market-management-system-mms-data/yesterdays-bid JOURNAL OF LATEX CLASS FILES , VOL. 14, NO. 8, AUGUST 2015 9.

25. AEMO. Pre-dispatch . [Online ] . Available: https://www.aemo.com.au/-/media/files/electricity/nem/securityandreliability/powersystemops/procedures/soop3704-predispatch.pdf?la=en.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Cloud-Edge-Collaboration-Based Flexibility Scheduling Strategy Considering Communication and Computation Delay

Deep Reinforcement Learning Based Resource Allocation for Fault Detection with Cloud Edge Collaboration in Smart Grid

Strategic PV Electricity Bidding in Spot Markets Under Forecast Uncertainty

Real-Time Harmonic Pollution Evaluation Considering Multiple Dynamic Customers

Bi-Objective Optimization of Real-Time AGC Dispatch in Performance-Based Frequency Regulation Market

Related Author

Wei Zhang

Hui Miao

Qiyue Li

Yadong Zhu

Jinjin Ding

Weitao Li

Wei Sun

Lijian Ding

Related Institution

Department of Electrical Engineering, School of Mechanical Engineering, University of Shanghai for Science and Technology

Engineering Technology Research Center of Industrial Automation, Hefei University of Technology

Electric Power Research Institute of State Grid Anhui Electric Power Co., Ltd

Hefei University of Technology

Tongwei New Energy Co., Ltd.

AI问答

⁰