A Two-Stage Cooperative Dispatch Model for Power Systems Considering Security and Source-Load Interaction
Haiteng Han,
Chen Wu,
Zhinong Wei,
Haixiang Zang,
Guoqiang Sun,
Kang Sun and
Tiantian Wei
Additional contact information
Haiteng Han: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Chen Wu: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Zhinong Wei: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Haixiang Zang: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Guoqiang Sun: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Kang Sun: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Tiantian Wei: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Sustainability, 2021, vol. 13, issue 23, 1-18
Abstract:
In modern power systems with more renewable energy sources connected, the consideration of both security and economy becomes the key to research on power system optimal dispatch, especially when more participants from the source and load sides join in the interaction response activities. In this paper, we propose a two-stage dispatch model that contains a day-ahead multi-objective optimization scheduling sub-model that combines a hyper-box and hyper-ellipse space theory-based system security index in the first stage, and an intraday adjustment scheduling sub-model that considers active demand response (DR) behavior in the second stage. This model is able to quantitatively analyze the relationship between the security and economy of the system dispatch process, as well as the impacts of the interaction response behavior on the wind power consumption and the system’s daily operating cost. The model can be applied to the evaluation of the response mechanism design for interactive resources in regional power systems.
Keywords: power system optimal dispatch; security assessment; source-load interaction and response (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2071-1050/13/23/13350/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/23/13350/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:23:p:13350-:d:693455
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().