Distributed Optimal Scheduling of Electricity–Gas–Heating System Based on Improved Alternating Direction Method of Multipliers
With the joint optimization of the electricity−gas−heating system (EGHS) attracting more and more attention, a distributed optimized scheduling framework for EGHS based on an improved alternating direction method of multipliers (ADMM) algorithm is put forward in this paper. The f...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-02-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/4/1214 |
| _version_ | 1819212993152417792 |
|---|---|
| author | Hanxin Zhu Tao Yu Weicong Wu Zhuohuan Li |
| author_facet | Hanxin Zhu Tao Yu Weicong Wu Zhuohuan Li |
| author_sort | Hanxin Zhu |
| collection | DOAJ |
| description | With the joint optimization of the electricity−gas−heating system (EGHS) attracting more and more attention, a distributed optimized scheduling framework for EGHS based on an improved alternating direction method of multipliers (ADMM) algorithm is put forward in this paper. The framework of the proposed algorithm is a co-ordinated convex distribution framework with inner and outer layers. The outer layer is a penalty convex−concave procedure (PCCP), the inner layer is an ADMM-FE (forced equality) procedure. In this framework, the outer layer optimization uses the convex and concave procedure to turn the non-convex airflow equation into a second-order cone constraint with successive iterations, and the inner layer ADMM-FE algorithm solves the convex model to obtain a convergent solution. In the end, we compare the established algorithm with the traditional ADMM algorithm and the centralized optimization algorithm through example simulation analysis, and the results verify the effectiveness of the proposed model and optimization algorithm framework. |
| first_indexed | 2024-12-23T06:51:47Z |
| format | Article |
| id | doaj.art-a9ee29fd4914491a976b4fadd6c5922d |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-23T06:51:47Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a9ee29fd4914491a976b4fadd6c5922d2022-12-21T17:56:25ZengMDPI AGApplied Sciences2076-34172020-02-01104121410.3390/app10041214app10041214Distributed Optimal Scheduling of Electricity–Gas–Heating System Based on Improved Alternating Direction Method of MultipliersHanxin Zhu0Tao Yu1Weicong Wu2Zhuohuan Li3College of Electric Power, South China University of Technology, Guangzhou 510640, ChinaCollege of Electric Power, South China University of Technology, Guangzhou 510640, ChinaCollege of Electric Power, South China University of Technology, Guangzhou 510640, ChinaCollege of Electric Power, South China University of Technology, Guangzhou 510640, ChinaWith the joint optimization of the electricity−gas−heating system (EGHS) attracting more and more attention, a distributed optimized scheduling framework for EGHS based on an improved alternating direction method of multipliers (ADMM) algorithm is put forward in this paper. The framework of the proposed algorithm is a co-ordinated convex distribution framework with inner and outer layers. The outer layer is a penalty convex−concave procedure (PCCP), the inner layer is an ADMM-FE (forced equality) procedure. In this framework, the outer layer optimization uses the convex and concave procedure to turn the non-convex airflow equation into a second-order cone constraint with successive iterations, and the inner layer ADMM-FE algorithm solves the convex model to obtain a convergent solution. In the end, we compare the established algorithm with the traditional ADMM algorithm and the centralized optimization algorithm through example simulation analysis, and the results verify the effectiveness of the proposed model and optimization algorithm framework.https://www.mdpi.com/2076-3417/10/4/1214integrated electricity–gas–heating systemday-ahead schedulingdistributed optimizationimproved admm |
| spellingShingle | Hanxin Zhu Tao Yu Weicong Wu Zhuohuan Li Distributed Optimal Scheduling of Electricity–Gas–Heating System Based on Improved Alternating Direction Method of Multipliers Applied Sciences integrated electricity–gas–heating system day-ahead scheduling distributed optimization improved admm |
| title | Distributed Optimal Scheduling of Electricity–Gas–Heating System Based on Improved Alternating Direction Method of Multipliers |
| title_full | Distributed Optimal Scheduling of Electricity–Gas–Heating System Based on Improved Alternating Direction Method of Multipliers |
| title_fullStr | Distributed Optimal Scheduling of Electricity–Gas–Heating System Based on Improved Alternating Direction Method of Multipliers |
| title_full_unstemmed | Distributed Optimal Scheduling of Electricity–Gas–Heating System Based on Improved Alternating Direction Method of Multipliers |
| title_short | Distributed Optimal Scheduling of Electricity–Gas–Heating System Based on Improved Alternating Direction Method of Multipliers |
| title_sort | distributed optimal scheduling of electricity gas heating system based on improved alternating direction method of multipliers |
| topic | integrated electricity–gas–heating system day-ahead scheduling distributed optimization improved admm |
| url | https://www.mdpi.com/2076-3417/10/4/1214 |
| work_keys_str_mv | AT hanxinzhu distributedoptimalschedulingofelectricitygasheatingsystembasedonimprovedalternatingdirectionmethodofmultipliers AT taoyu distributedoptimalschedulingofelectricitygasheatingsystembasedonimprovedalternatingdirectionmethodofmultipliers AT weicongwu distributedoptimalschedulingofelectricitygasheatingsystembasedonimprovedalternatingdirectionmethodofmultipliers AT zhuohuanli distributedoptimalschedulingofelectricitygasheatingsystembasedonimprovedalternatingdirectionmethodofmultipliers |