A coordinated planning model for power system source-network-load-storage considering multiple types of energy storage
Abstract Conventional power systems often neglect the amalgamation of planning and scheduling during their preparatory phases, and their methodologies of construction and operation may fall short of the requisites posed by a future characterized by a high proportion of renewable energy integration....
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Published in | Journal of physics. Conference series Vol. 2689; no. 1; pp. 12009 - 12016 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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IOP Publishing
01.01.2024
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Abstract | Abstract
Conventional power systems often neglect the amalgamation of planning and scheduling during their preparatory phases, and their methodologies of construction and operation may fall short of the requisites posed by a future characterized by a high proportion of renewable energy integration. In this paper, an integrated planning and scheduling methodology has been developed for the source-network-load-storage power system, factoring in a diverse array of energy storage modalities. Initially, cost models and operational models are formulated encompassing unit retrofitting, line expansion, demand response (DR), energy storage configuration and operation, and penalties related to solar curtailment. Subsequently, the optimization functions and operational constraints of each facet are harmonized, culminating in a comprehensive coordinated planning and scheduling framework for the ‘source-network-load-storage’ power system. The final phase involves simulation analysis conducted on an IEEE-30 nodes power system case. Results illustrate that the integrated ‘source-network-load-storage’ approach exhibits varied efficacies in exploiting system flexibility resources, contingent upon the distinctive capacity-power configurations of multiple types of energy storage. Prudent calibration of energy storage parameters demonstrates the potential to mitigate network underutilization and enhance overall system economics. This corroborates the viability of the proposed ‘integrated planning and scheduling’ model for the power systems. |
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AbstractList | Conventional power systems often neglect the amalgamation of planning and scheduling during their preparatory phases, and their methodologies of construction and operation may fall short of the requisites posed by a future characterized by a high proportion of renewable energy integration. In this paper, an integrated planning and scheduling methodology has been developed for the source-network-load-storage power system, factoring in a diverse array of energy storage modalities. Initially, cost models and operational models are formulated encompassing unit retrofitting, line expansion, demand response (DR), energy storage configuration and operation, and penalties related to solar curtailment. Subsequently, the optimization functions and operational constraints of each facet are harmonized, culminating in a comprehensive coordinated planning and scheduling framework for the ‘source-network-load-storage’ power system. The final phase involves simulation analysis conducted on an IEEE-30 nodes power system case. Results illustrate that the integrated ‘source-network-load-storage’ approach exhibits varied efficacies in exploiting system flexibility resources, contingent upon the distinctive capacity-power configurations of multiple types of energy storage. Prudent calibration of energy storage parameters demonstrates the potential to mitigate network underutilization and enhance overall system economics. This corroborates the viability of the proposed ‘integrated planning and scheduling’ model for the power systems. Abstract Conventional power systems often neglect the amalgamation of planning and scheduling during their preparatory phases, and their methodologies of construction and operation may fall short of the requisites posed by a future characterized by a high proportion of renewable energy integration. In this paper, an integrated planning and scheduling methodology has been developed for the source-network-load-storage power system, factoring in a diverse array of energy storage modalities. Initially, cost models and operational models are formulated encompassing unit retrofitting, line expansion, demand response (DR), energy storage configuration and operation, and penalties related to solar curtailment. Subsequently, the optimization functions and operational constraints of each facet are harmonized, culminating in a comprehensive coordinated planning and scheduling framework for the ‘source-network-load-storage’ power system. The final phase involves simulation analysis conducted on an IEEE-30 nodes power system case. Results illustrate that the integrated ‘source-network-load-storage’ approach exhibits varied efficacies in exploiting system flexibility resources, contingent upon the distinctive capacity-power configurations of multiple types of energy storage. Prudent calibration of energy storage parameters demonstrates the potential to mitigate network underutilization and enhance overall system economics. This corroborates the viability of the proposed ‘integrated planning and scheduling’ model for the power systems. |
Author | Yang, Y Liu, J Liu, M Sun, H Li, Z Zhang, K |
Author_xml | – sequence: 1 givenname: H surname: Sun fullname: Sun, H organization: State Grid Shandong Electric Power Corporation Weifang Power Supply Company , . China – sequence: 2 givenname: Z surname: Li fullname: Li, Z organization: State Grid Shandong Electric Power Corporation Weifang Power Supply Company , . China – sequence: 3 givenname: K surname: Zhang fullname: Zhang, K organization: State Grid Shandong Electric Power Corporation Weifang Power Supply Company , . China – sequence: 4 givenname: M surname: Liu fullname: Liu, M organization: State Grid Shandong Electric Power Corporation Weifang Power Supply Company , . China – sequence: 5 givenname: Y surname: Yang fullname: Yang, Y organization: Shanxi Key Laboratory of Smart Grid, Xi’an Jiaotong University , . China – sequence: 6 givenname: J surname: Liu fullname: Liu, J organization: Shanxi Key Laboratory of Smart Grid, Xi’an Jiaotong University , . China |
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Cites_doi | 10.18178/ijeetc.8.5.233-237 10.18178/ijeetc.9.4.268-272 10.1109/TASE.2016.2629477 10.1109/TII.2017.2771355 10.1049/joe.2017.0487 10.1109/TSG.2014.2335815 10.18178/ijeetc.10.3.209-216 10.18178/ijeetc.7.3.83-89 10.18178/ijeetc.9.3.163-170 10.1109/TPWRS.2012.2187315 |
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Conventional power systems often neglect the amalgamation of planning and scheduling during their preparatory phases, and their methodologies of... Conventional power systems often neglect the amalgamation of planning and scheduling during their preparatory phases, and their methodologies of construction... |
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StartPage | 12009 |
SubjectTerms | Configurations Electrical loads Energy management Energy storage Retrofitting Scheduling |
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Title | A coordinated planning model for power system source-network-load-storage considering multiple types of energy storage |
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