Mixed-integer second-order cone programming method for active distribution network
Developing a novel type of power system is an important means of achieving the “dual carbon” goals of achieving peak carbon emissions and carbon neutrality in the near future. Given that the distribution network has access to a wide range of distributed and flexible resources, reasonably controlling...
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| Vydáno v: | Frontiers in energy research Ročník 11 |
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Frontiers Media S.A
24.08.2023
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| ISSN: | 2296-598X, 2296-598X |
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| Abstract | Developing a novel type of power system is an important means of achieving the “dual carbon” goals of achieving peak carbon emissions and carbon neutrality in the near future. Given that the distribution network has access to a wide range of distributed and flexible resources, reasonably controlling large-scale and adjustable resources is a critical factor influencing the safe and stable operation of the active distribution network (ADN). In light of this, the authors of this study propose a mixed-integer second-order cone programming method for an active distribution network by considering the collaboration between distributed, flexible resources. First, Monte Carlo sampling is used to simulate the charging load of electric vehicles (EVs), and the auto regressive moving average (ARMA) and the scenario reduction algorithms (SRA) based on probability distance are used to generate scenarios of the outputs of distributed generation (DG). Second, we establish an economical, low-carbon model to optimize the operation of the active distribution network to reduce its operating costs and carbon emissions by considering the adjustable characteristics of the distributed and flexible resources, such as on-load tap changer (OLTC), devices for reactive power compensation, and EVs and electric energy storage equipment (EES). Then, the proposed model is transformed into a mixed-integer second-order cone programming (SOCP) model with a convex feasible domain by using second-order cone relaxation (SOCR), and is solved by using the CPLEX commercial solver. Finally, we performed an arithmetic analysis on the improved IEEE 33-node power distribution system, the results show that ADN’s day-to-day operating costs were reduced by 47.9% year-on-year, and carbon emissions were reduced by 75.2% year-on-year. The method proposed in this paper has significant effects in reducing the operating cost and carbon emissions of ADNs, as well as reducing the amplitude of ADN node voltages and branch currents. |
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| AbstractList | Developing a novel type of power system is an important means of achieving the “dual carbon” goals of achieving peak carbon emissions and carbon neutrality in the near future. Given that the distribution network has access to a wide range of distributed and flexible resources, reasonably controlling large-scale and adjustable resources is a critical factor influencing the safe and stable operation of the active distribution network (ADN). In light of this, the authors of this study propose a mixed-integer second-order cone programming method for an active distribution network by considering the collaboration between distributed, flexible resources. First, Monte Carlo sampling is used to simulate the charging load of electric vehicles (EVs), and the auto regressive moving average (ARMA) and the scenario reduction algorithms (SRA) based on probability distance are used to generate scenarios of the outputs of distributed generation (DG). Second, we establish an economical, low-carbon model to optimize the operation of the active distribution network to reduce its operating costs and carbon emissions by considering the adjustable characteristics of the distributed and flexible resources, such as on-load tap changer (OLTC), devices for reactive power compensation, and EVs and electric energy storage equipment (EES). Then, the proposed model is transformed into a mixed-integer second-order cone programming (SOCP) model with a convex feasible domain by using second-order cone relaxation (SOCR), and is solved by using the CPLEX commercial solver. Finally, we performed an arithmetic analysis on the improved IEEE 33-node power distribution system, the results show that ADN’s day-to-day operating costs were reduced by 47.9% year-on-year, and carbon emissions were reduced by 75.2% year-on-year. The method proposed in this paper has significant effects in reducing the operating cost and carbon emissions of ADNs, as well as reducing the amplitude of ADN node voltages and branch currents. |
| Author | Zhou, Qianfan Jiang, Fei Yi, Zimu Zhao, Miao Wan, Dai Guo, Qi |
| Author_xml | – sequence: 1 givenname: Dai surname: Wan fullname: Wan, Dai – sequence: 2 givenname: Miao surname: Zhao fullname: Zhao, Miao – sequence: 3 givenname: Zimu surname: Yi fullname: Yi, Zimu – sequence: 4 givenname: Fei surname: Jiang fullname: Jiang, Fei – sequence: 5 givenname: Qi surname: Guo fullname: Guo, Qi – sequence: 6 givenname: Qianfan surname: Zhou fullname: Zhou, Qianfan |
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| Cites_doi | 10.1109/TIE.2021.3121694 10.1109/TPWRS.2015.2466435 10.19725/j.cnki.1007-2322.2021.0100 10.35833/MPCE.2020.000624 10.1109/TSTE.2021.3136722 10.7500/AEPS20140719007 10.1109/TPWRS.2020.3000984 10.26599/TST.2018.9010083 10.1109/ACCESS.2022.3229328 10.19783/j.cnki.pspc.201296 10.1109/TSTE.2020.3013386 10.1016/j.adapen.2023.100125 10.1109/PTC.2003.1304379 10.1109/TIA.2022.3223339 10.1109/JSYST.2021.3106397 10.1109/TSTE.2018.2869932 10.35833/MPCE.2020.000198 10.1109/ACCESS.2021.3108830 10.1109/TSG.2018.2834564 10.1109/ACCESS.2022.3141824 10.1109/TII.2022.3169975 10.1109/TPWRS.2020.3036235 10.13334/j.0258-8013.pcsee.160937 10.3390/app122412790 10.23919/CJEE.2023.000021 |
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| References | Luo (B12) 2021; 9 Dong (B1) 2015; 39 Wang (B20) 2023; 19 Guo (B4) 2019; 10 Li (B8) 2021; 49 Pu (B15) 2017; 37 Zhang (B24) 2022; 13 Jiang (B5) 2022; 69 Pamshetti (B14) 2023; 59 Mohd Azmi (B13) 2022; 10 Kang (B6) 2022; 39 Smadi (B17) 2023; 9 Kayacık (B7) 2021; 36 Zhao (B27) 2023; 9 Ruan (B16) 2020; 35 Growe-Kuska (B3) 2003; 3 Yang (B22) 2019; 10 Zhang (B25) 2016; 31 Li (B10) 2022; 10 Zhang (B23) 2018 Xiao (B21) 2018 Li (B11) 2018; 23 Sun (B18) 2021; 12 Górski (B2) 2022; 12 Verma (B19) 2022; 16 Zhang (B26) 2021; 9 Li (B9) 2023; 11 |
| References_xml | – volume: 69 start-page: 11132 year: 2022 ident: B5 article-title: An improved hybrid parallel compensator for enhancing PV power transfer capability publication-title: IEEE Trans. Industrial Electron. doi: 10.1109/TIE.2021.3121694 – volume: 31 start-page: 2472 year: 2016 ident: B25 article-title: Coordinated day-ahead reactive power dispatch in distribution network based on real power forecast errors publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2015.2466435 – start-page: 5085 year: 2018 ident: B23 article-title: Optimal energy flow of electricity-gas integrated energy system using second-order cone program – volume: 39 start-page: 246 year: 2022 ident: B6 article-title: Analysis on the power flow characteristics considering uncertainty and correlation of wind power and photovoltaic station publication-title: Mod. Electr. Power doi: 10.19725/j.cnki.1007-2322.2021.0100 – volume: 11 start-page: 324 year: 2023 ident: B9 article-title: Multi-timescale affinely adjustable robust reactive power dispatch of distribution networks integrated with high penetration of PV publication-title: J. Mod. Power Syst. Clean Energy doi: 10.35833/MPCE.2020.000624 – volume: 13 start-page: 868 year: 2022 ident: B24 article-title: Three-stage hierarchically-coordinated voltage/var control based on PV inverters considering distribution network voltage stability publication-title: IEEE Trans. Sustain. Energy doi: 10.1109/TSTE.2021.3136722 – volume: 39 start-page: 75 year: 2015 ident: B1 article-title: A coordinated dispatching model for a distribution utility and virtual power plants with wind/photovoltaic/hydro generators publication-title: Automation Electr. Power Syst. doi: 10.7500/AEPS20140719007 – volume: 35 start-page: 4220 year: 2020 ident: B16 article-title: Distributed voltage control in active distribution network considering renewable energy: a novel network partitioning method publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2020.3000984 – volume: 23 start-page: 266 year: 2018 ident: B11 article-title: Optimal active power dispatching of microgrid and distribution network based on model predictive control publication-title: Tsinghua Sci. Technol. doi: 10.26599/TST.2018.9010083 – volume: 10 start-page: 134655 year: 2022 ident: B13 article-title: Active electric distribution network: applications, challenges, and opportunities publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3229328 – volume: 49 start-page: 94 year: 2021 ident: B8 article-title: Optimization strategy for the energy storage capacity of a charging station with photovoltaic and energy storage considering orderly charging of electric vehicles publication-title: Power Syst. Prot. Control doi: 10.19783/j.cnki.pspc.201296 – volume: 12 start-page: 587 year: 2021 ident: B18 article-title: Optimized two-time scale robust dispatching method for the multi-terminal soft open point in unbalanced active distribution networks publication-title: IEEE Trans. Sustain. Energy doi: 10.1109/TSTE.2020.3013386 – volume: 9 start-page: 100125 year: 2023 ident: B27 article-title: Emerging information and communication technologies for smart energy systems and renewable transition publication-title: Adv. Appl. Energy doi: 10.1016/j.adapen.2023.100125 – volume: 3 year: 2003 ident: B3 article-title: Scenario reduction and scenario tree construction for power management problems publication-title: IEEE Bologna Power Tech. Conf. Proc. doi: 10.1109/PTC.2003.1304379 – volume: 59 start-page: 2140 year: 2023 ident: B14 article-title: Cooperative operational planning model for distributed energy resources with soft open point in active distribution network publication-title: IEEE Trans. Industry Appl. doi: 10.1109/TIA.2022.3223339 – volume: 16 start-page: 3522 year: 2022 ident: B19 article-title: Optimal power flow based DR in active distribution network with reactive power control publication-title: IEEE Syst. J. doi: 10.1109/JSYST.2021.3106397 – volume: 10 start-page: 1731 year: 2019 ident: B4 article-title: MPC-based coordinated voltage regulation for distribution networks with distributed generation and energy storage system publication-title: IEEE Trans. Sustain. Energy doi: 10.1109/TSTE.2018.2869932 – volume: 9 start-page: 423 year: 2021 ident: B12 article-title: Robust optimal operation of active distribution network based on minimum confidence interval of distributed energy beta distribution publication-title: Mod. Power Syst. Clean Energy doi: 10.35833/MPCE.2020.000198 – volume: 9 start-page: 120492 year: 2021 ident: B26 article-title: Research on two-level energy optimized dispatching strategy of microgrid cluster based on IPSO algorithm publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3108830 – volume: 10 start-page: 3743 year: 2019 ident: B22 article-title: A distributionally robust optimization model for real-time power dispatch in distribution networks publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2018.2834564 – volume: 10 start-page: 9357 year: 2022 ident: B10 article-title: Day-ahead optimal dispatch strategy for active distribution network based on improved deep reinforcement learning publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3141824 – volume: 19 start-page: 1611 year: 2023 ident: B20 article-title: Coordinated electric vehicle active and reactive power control for active distribution networks publication-title: IEEE Trans. Industrial Inf. doi: 10.1109/TII.2022.3169975 – volume: 36 start-page: 529 year: 2021 ident: B7 article-title: An MISOCP-based solution approach to the reactive optimal power flow problem publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2020.3036235 – volume: 37 start-page: 1579 year: 2017 ident: B15 article-title: Distributed optimal dispatching of active distribution network based on consensus algorithm publication-title: Proc. CSEE doi: 10.13334/j.0258-8013.pcsee.160937 – volume: 12 start-page: 12790 year: 2022 ident: B2 article-title: UML profile for messaging patterns in service-oriented architecture, microservices, and Internet of Things publication-title: Appl. Sci. doi: 10.3390/app122412790 – start-page: 1 year: 2018 ident: B21 article-title: A robust mixed-integer second-order cone programming for service restoration of distribution network – volume: 9 start-page: 14 year: 2023 ident: B17 article-title: An improved reactive power sharing in an isolated microgrid with a local load detection publication-title: Chin. J. Electr. Eng. doi: 10.23919/CJEE.2023.000021 |
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