Hierarchical Two-Stage Robust Planning for Demand-Side Energy Storage with Dynamic Carbon Incentive Mechanism

Demand-side energy storage is an important foundation for enhancing load flexibility to accommodate renewable energy. With the widespread adoption of renewable energy, demand-side energy storage planning, and its incentive mechanism have also attracted the attention of a large number of scholars. Ho...

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Main Authors: Jieran Feng, Junpei Nan, Ke Sun, Xu Deng, Li Guan, Hao Zhou
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/11/6524
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author Jieran Feng
Junpei Nan
Ke Sun
Xu Deng
Li Guan
Hao Zhou
author_facet Jieran Feng
Junpei Nan
Ke Sun
Xu Deng
Li Guan
Hao Zhou
author_sort Jieran Feng
collection DOAJ
description Demand-side energy storage is an important foundation for enhancing load flexibility to accommodate renewable energy. With the widespread adoption of renewable energy, demand-side energy storage planning, and its incentive mechanism have also attracted the attention of a large number of scholars. However, there are still few studies on incentives from a carbon perspective. To fill the gap, a dynamic carbon incentive mechanism is proposed in this study. In addition, a hierarchical two-stage robust planning model for demand-side energy storage that incorporates the proposed carbon incentive mechanism is developed. At the first level, the economic dispatch is performed, and bus carbon intensities are calculated based on the carbon emission flow theory. The second level is a two-stage robust planning model to obtain the optimal capacities of demand-side energy storage, which is solved based on the nested column and constraint generation algorithm. The proposed model is implemented and evaluated on the MATLAB/YALMIP platform using IEEE 24-bus power systems. The results validate the efficacy of the model in promoting carbon-oriented demand-side energy storage planning, leading to a substantial reduction of carbon emissions by 8.44%. Notably, when compared to existing incentive mechanisms, the proposed carbon incentive mechanism exhibits distinct advantages in achieving carbon reduction with less both subsidy costs and fixed investments.
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spelling doaj.art-16f4d5f3a0d34a858c9d27dae0117e252023-11-18T07:33:15ZengMDPI AGApplied Sciences2076-34172023-05-011311652410.3390/app13116524Hierarchical Two-Stage Robust Planning for Demand-Side Energy Storage with Dynamic Carbon Incentive MechanismJieran Feng0Junpei Nan1Ke Sun2Xu Deng3Li Guan4Hao Zhou5College of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaState Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310007, ChinaSchool of Electric Power Engineering, South China University of Technology, Guangzhou 510641, ChinaNational Power Dispatching and Control Center, State Grid Corporation of China, Beijing 100031, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaDemand-side energy storage is an important foundation for enhancing load flexibility to accommodate renewable energy. With the widespread adoption of renewable energy, demand-side energy storage planning, and its incentive mechanism have also attracted the attention of a large number of scholars. However, there are still few studies on incentives from a carbon perspective. To fill the gap, a dynamic carbon incentive mechanism is proposed in this study. In addition, a hierarchical two-stage robust planning model for demand-side energy storage that incorporates the proposed carbon incentive mechanism is developed. At the first level, the economic dispatch is performed, and bus carbon intensities are calculated based on the carbon emission flow theory. The second level is a two-stage robust planning model to obtain the optimal capacities of demand-side energy storage, which is solved based on the nested column and constraint generation algorithm. The proposed model is implemented and evaluated on the MATLAB/YALMIP platform using IEEE 24-bus power systems. The results validate the efficacy of the model in promoting carbon-oriented demand-side energy storage planning, leading to a substantial reduction of carbon emissions by 8.44%. Notably, when compared to existing incentive mechanisms, the proposed carbon incentive mechanism exhibits distinct advantages in achieving carbon reduction with less both subsidy costs and fixed investments.https://www.mdpi.com/2076-3417/13/11/6524carbon emission flow theorydemand-side energy storagedynamic carbon incentive mechanismnested column and constraint generation algorithmtwo-stage robust planning
spellingShingle Jieran Feng
Junpei Nan
Ke Sun
Xu Deng
Li Guan
Hao Zhou
Hierarchical Two-Stage Robust Planning for Demand-Side Energy Storage with Dynamic Carbon Incentive Mechanism
Applied Sciences
carbon emission flow theory
demand-side energy storage
dynamic carbon incentive mechanism
nested column and constraint generation algorithm
two-stage robust planning
title Hierarchical Two-Stage Robust Planning for Demand-Side Energy Storage with Dynamic Carbon Incentive Mechanism
title_full Hierarchical Two-Stage Robust Planning for Demand-Side Energy Storage with Dynamic Carbon Incentive Mechanism
title_fullStr Hierarchical Two-Stage Robust Planning for Demand-Side Energy Storage with Dynamic Carbon Incentive Mechanism
title_full_unstemmed Hierarchical Two-Stage Robust Planning for Demand-Side Energy Storage with Dynamic Carbon Incentive Mechanism
title_short Hierarchical Two-Stage Robust Planning for Demand-Side Energy Storage with Dynamic Carbon Incentive Mechanism
title_sort hierarchical two stage robust planning for demand side energy storage with dynamic carbon incentive mechanism
topic carbon emission flow theory
demand-side energy storage
dynamic carbon incentive mechanism
nested column and constraint generation algorithm
two-stage robust planning
url https://www.mdpi.com/2076-3417/13/11/6524
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