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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Bristol
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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| DOI | 10.1088/1742-6596/2689/1/012009 |
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| References | Duan (JPCS_2689_1_012009bib5) 2018; 14 Liu (JPCS_2689_1_012009bib18) 2015; 39 Li (JPCS_2689_1_012009bib7) 2017; 41 Golshannavaz (JPCS_2689_1_012009bib26) 2014; 5 Gabash (JPCS_2689_1_012009bib12) 2012; 27 Abdukhakimov (JPCS_2689_1_012009bib22) 2019; 8 Zheng (JPCS_2689_1_012009bib15) 2017; 41 Kusakana (JPCS_2689_1_012009bib25) 2021; 10 Wu (JPCS_2689_1_012009bib2) 2021 Luo (JPCS_2689_1_012009bib8) 2014; 42 Chen (JPCS_2689_1_012009bib1) 2020; 40 Yu (JPCS_2689_1_012009bib10) 2013; 37 Liu (JPCS_2689_1_012009bib4) 2017; 2017 Wong (JPCS_2689_1_012009bib21) 2018; 7 Tan (JPCS_2689_1_012009bib11) 2017; 14 Moreira (JPCS_2689_1_012009bib9) 2017 Chi (JPCS_2689_1_012009bib16) 2022 Wang (JPCS_2689_1_012009bib3) 2021 Zhang (JPCS_2689_1_012009bib14) 2022; 46 Xu (JPCS_2689_1_012009bib19) 2018; 10 Wong (JPCS_2689_1_012009bib24) 2020; 9 Wei (JPCS_2689_1_012009bib27) 2023 Li (JPCS_2689_1_012009bib17) 2021; 4 Ren (JPCS_2689_1_012009bib13) 2018; 42 Chen (JPCS_2689_1_012009bib20) 2014; 38 Ryu (JPCS_2689_1_012009bib23) 2020; 9 Wang (JPCS_2689_1_012009bib6) 2020; 44 |
| References_xml | – volume: 42 start-page: 140 year: 2014 ident: JPCS_2689_1_012009bib8 article-title: Overview of large-scale intermittent new energy grid-connected control technology publication-title: Power System Protection and Control contributor: fullname: Luo – volume: 8 start-page: 233 year: 2019 ident: JPCS_2689_1_012009bib22 article-title: Reliability Analysis in Smart Grid Networks Considering Distributed Energy Resources and Storage Devices publication-title: International Journal of Electrical and Electronic Engineering & Telecommunications doi: 10.18178/ijeetc.8.5.233-237 contributor: fullname: Abdukhakimov – volume: 41 start-page: 1035 year: 2017 ident: JPCS_2689_1_012009bib7 article-title: Study of Complex Oscillation Caused by Renewable Energy Integration and Its Solution publication-title: Power System Technology contributor: fullname: Li – volume: 39 start-page: 2697 year: 2015 ident: JPCS_2689_1_012009bib18 article-title: Optimal Allocation of ADS Battery Energy Storage Considering Operation Strategy and Investment Subject Benefit publication-title: Power System Technology contributor: fullname: Liu – volume: 9 start-page: 268 year: 2020 ident: JPCS_2689_1_012009bib24 article-title: Optimal Battery Energy Storage System Placement using Whale Optimization Algorithm publication-title: International Journal of Electrical and Electronic Engineering & Telecommunications doi: 10.18178/ijeetc.9.4.268-272 contributor: fullname: Wong – volume: 14 start-page: 425 year: 2017 ident: JPCS_2689_1_012009bib11 article-title: Optimal day-ahead operation considering power quality for active distribution networks publication-title: IEEE Transactions on Automation Science and Engineering doi: 10.1109/TASE.2016.2629477 contributor: fullname: Tan – volume: 41 start-page: 122 year: 2017 ident: JPCS_2689_1_012009bib15 article-title: Analysis on Key Technologies for Coordinated Operation of Advanced Application Software in Transmission and Distribution Network publication-title: Automation of Electric Power Systems contributor: fullname: Zheng – volume: 38 start-page: 2141 year: 2014 ident: JPCS_2689_1_012009bib20 article-title: A Peak-Valley TOU Price Model Considering Power System Reliability and Power Purchase Risk publication-title: Power System Technology contributor: fullname: Chen – volume: 4 start-page: 344 year: 2021 ident: JPCS_2689_1_012009bib17 article-title: Multi-stage Joint Planning Decision-making for Transmission Network and Thermal Power Unit Flexibility Reformation publication-title: Journal of Global Energy Interconnection contributor: fullname: Li – volume: 40 start-page: 5493 year: 2020 ident: JPCS_2689_1_012009bib1 article-title: Analysis and reflection on high-quality development of new energy with Chinese characteristics in energy transition, Proceed publication-title: CSEE contributor: fullname: Chen – volume: 44 start-page: 2998 year: 2020 ident: JPCS_2689_1_012009bib6 article-title: Review of Research on Power System Inertia Related Issues in the Context of High Penetration of Renewable Power Generation publication-title: Power System Technology contributor: fullname: Wang – volume: 14 start-page: 2826 year: 2018 ident: JPCS_2689_1_012009bib5 article-title: Data-driven Distributionally Robust Energy-Reserve-Storage Dispatch publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2017.2771355 contributor: fullname: Duan – start-page: 1 year: 2021 ident: JPCS_2689_1_012009bib3 article-title: Multi-time scale collaborative optimal dispatching for regional grid integrated with renewable energy and BESS based on GrowNet contributor: fullname: Wang – volume: 2017 start-page: 1040 year: 2017 ident: JPCS_2689_1_012009bib4 article-title: Abnormality in power system transient stability control of BESS/STATCOM publication-title: The Journal of Engineering doi: 10.1049/joe.2017.0487 contributor: fullname: Liu – volume: 42 start-page: 1079 year: 2018 ident: JPCS_2689_1_012009bib13 article-title: A Decentralized Scheduling Model With Energy Storage Participation for Interconnected Power System With High Wind Power Penetration publication-title: Power System Technology contributor: fullname: Ren – volume: 10 start-page: 1 year: 2018 ident: JPCS_2689_1_012009bib19 article-title: Deposit mechanism design and corresponding decision strategy considering uncertainty of customer behaviour publication-title: Mathematical Problems in Engineering contributor: fullname: Xu – start-page: 1 year: 2023 ident: JPCS_2689_1_012009bib27 article-title: Generation Expansion Planning of New Power System Considering Collaborative Optimal Operation of Source-grid-load-storage Under Carbon Peaking and Carbon Neutrality contributor: fullname: Wei – volume: 5 start-page: 2402 year: 2014 ident: JPCS_2689_1_012009bib26 article-title: Smart Distribution Grid: Optimal Day-Ahead Scheduling With Reconfigurable Topology publication-title: IEEE Transactions on Smart Grid doi: 10.1109/TSG.2014.2335815 contributor: fullname: Golshannavaz – volume: 46 start-page: 2199 year: 2022 ident: JPCS_2689_1_012009bib14 article-title: Source-network-load-storage Bi-level Collaborative Planning Model of Active Distribution Network With SOP Based on Adaptive s-Dominating Multi-objective Particle Swarm Optimization Algorithm publication-title: Power System Technology contributor: fullname: Zhang – volume: 10 start-page: 209 year: 2021 ident: JPCS_2689_1_012009bib25 article-title: Optimal Economic Dispatch of Grid-Interactive Renewable Prosumers with Hybrid Storage and Peer to Peer Energy Sharing Capabilities publication-title: International Journal of Electrical and Electronic Engineering & Telecommunications doi: 10.18178/ijeetc.10.3.209-216 contributor: fullname: Kusakana – start-page: 1 year: 2017 ident: JPCS_2689_1_012009bib9 contributor: fullname: Moreira – start-page: 1 year: 2022 ident: JPCS_2689_1_012009bib16 contributor: fullname: Chi – volume: 7 start-page: 83 year: 2018 ident: JPCS_2689_1_012009bib21 article-title: Experimental Validation for Dynamic Fuzzy-Controlled Energy Storage System to Maximize Renewable Energy Integration publication-title: International Journal of Electrical and Electronic Engineering & Telecommunications doi: 10.18178/ijeetc.7.3.83-89 contributor: fullname: Wong – start-page: 1 year: 2021 ident: JPCS_2689_1_012009bib2 article-title: Real-Time Scheduling Method Based on Deep Reinforcement Learning for a Hybrid Wind-Solar-Storage Energy Generation System contributor: fullname: Wu – volume: 9 start-page: 163 year: 2020 ident: JPCS_2689_1_012009bib23 article-title: Multi-Objective Optimal Operation Planning for Battery Energy Storage in a Grid-Connected Micro-Grid publication-title: International Journal of Electrical and Electronic Engineering & Telecommunications doi: 10.18178/ijeetc.9.3.163-170 contributor: fullname: Ryu – volume: 37 start-page: 63 year: 2013 ident: JPCS_2689_1_012009bib10 article-title: Analysis of Active Load’s Interaction Response Behavior publication-title: Automation of Electric Power Systems contributor: fullname: Yu – volume: 27 start-page: 2026 year: 2012 ident: JPCS_2689_1_012009bib12 article-title: Active-reactive optimal power flow in distribution networks with embedded generation and battery storage publication-title: IEEE Transactions on Power Systems doi: 10.1109/TPWRS.2012.2187315 contributor: fullname: Gabash |
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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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| 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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