Optimal allocation of inverter connected DGs: An objective function to minimize deterioration of transient stability of power system

被引:9
作者
Jahromi, Mohammad Hossein Mehraban [1 ]
Soleymani, Soodabeh [1 ]
Mozafari, Babak [1 ]
机构
[1] Islamic Azad Univ, Dept Elect Engn, Sci & Res Branch, Tehran, Iran
关键词
Transient stability; Optimization; Virtual synchronous generator; Distributed generation; DISTRIBUTION NETWORKS; DISTRIBUTED GENERATION; WIND TURBINES; TIME; SENSITIVITY; PENETRATION; FRAMEWORK; IMPACTS; MODEL; GRIDS;
D O I
10.1016/j.ijepes.2020.106267
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
While renewable energy resources have provided more flexibility in operation of power system, it may threaten the security of the power system during transient phenomena. Previous investigation on the power system with high penetration of inverter based connected (IBC) distributed generations (DG) reveal that this type of DG has negative influence on the transient stability margin of the power system (Seungchan a al., 2018). An optimization framework is proposed in this paper, in which the negative effects of IBC type of DGs on the transient stability margin of the power system is minimized. More specifically, this paper proposes a new objective function (OF) to distribute the IBC type of DGs that have minimum deterioration of transient stability margin. To such aim, an improved index based on the kinetic energy is introduced which considers IBC type of DGs based on virtual synchronous generator concept. To calculate index, equal area criterion (EAC) and sensitivity analysis are respectively used for extracted critical kinetic energy (CKE) and consequently to take into account the effect of fault trajectory. The IBC type of DGs in this investigation includes photovoltaic and electrical vehicles. The proposed framework is applied on the IEEE 14-bus and 30-bus test system and further discussed during several contingencies and fault conditions.
引用
收藏
页数:13
相关论文
共 48 条
[31]  
Prabha Kundur., 1994, Power system stability and control-7ed
[32]  
Ram Ramavat Same, 2019, APPL ARTIFICIAL INTE, P103
[33]   Dynamic Structural Sizing of Residential Energy Hubs [J].
Senemmar, Soroush ;
Rastegar, Mohammad ;
Dabbaghjamanesh, Morteza ;
Hatziargyriou, Nikos .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2020, 11 (03) :1236-1246
[34]   Sensitivity of Transient Stability Critical Clearing Time [J].
Sharma, Shikha ;
Pushpak, Sai ;
Chinde, Venkatesh ;
Dobson, Ian .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (06) :6476-6486
[35]   Biogeography-Based Optimization [J].
Simon, Dan .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2008, 12 (06) :702-713
[36]   A review on distributed generation allocation and planning in deregulated electricity market [J].
Singh, A. K. ;
Parida, S. K. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 82 :4132-4141
[37]  
Soroush Senemar, 2019, IEEE SYST J
[38]  
Soroush Senemar, 2018, OPERATION PLANNING A, P271
[39]   Model predictive control-based power dispatch for distribution system considering plug-in electric vehicle uncertainty [J].
Su, Wencong ;
Wang, Jianhui ;
Zhang, Kuilin ;
Huang, Alex Q. .
ELECTRIC POWER SYSTEMS RESEARCH, 2014, 106 :29-35
[40]  
Sydulu Maheswarapu, 2019, IET GENER TRANSMISS