Market Clearing of Joint Energy and Reactive Power using Multi Objective Optimization considering Voltage Dependent Load Models

被引:0
|
作者
Reddy, S. Surender [1 ]
Abhyankar, A. R. [1 ]
Bijwe, P. R. [1 ]
机构
[1] Indian Inst Technol, Dept Elect Engn, New Delhi 110016, India
关键词
Energy and Reactive power market clearing; Ancillary services; Augmented Payment Function (APF); Lost Opportunity Cost (LOC); load modeling; Genetic Algorithms (GAs); multi-objective optimization;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents the day ahead market clearing of joint energy and reactive power market clearing (ERPMC) mechanism and its mathematical formulation in day ahead market. The Augmented Payment Function (APF) minimization objective is optimized while meeting AC power flow constraints, system reactive power requirements and lost opportunity cost (LOC) considerations. The realistic voltage dependent load modeling has been employed. The investigations clearly bring out the unsuitability of conventional single objectives such as APF, Loss Minimization (LM) due to reduction of load served. Hence, the multi-objective optimization is essential in this context. The paper proposes several objectives such as APF minimization, LM, Load Served Maximization (LSM) and Voltage Stability Enhancement Index (VSEI); which can be judiciously combined as per the needs of the operating condition. The effectiveness of the proposed approach is tested on IEEE 30 bus system and the detailed simulation studies have been carried out by considering different operating conditions with constant and voltage dependent load modeling.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Enhanced multi-objective particle swarm optimization for optimal reactive power dispatch considering voltage stability
    State Key Laboratory of Hybrid Process Industry Automation System and Equipment Technology, China Iron and Steel Research Institute Group, China
    Int J Power Energy Syst, 3 (116-124):
  • [22] Reactive power optimization control for multi-energy system considering source-load uncertainty
    Zuo, Hao
    Xiao, Wanqiu
    Ma, Shihui
    Teng, Yun
    Chen, Zhe
    Electric Power Systems Research, 2024, 228
  • [23] Reactive power optimization control for multi-energy system considering source-load uncertainty
    Zuo, Hao
    Xiao, Wanqiu
    Ma, Shihui
    Teng, Yun
    Chen, Zhe
    ELECTRIC POWER SYSTEMS RESEARCH, 2024, 228
  • [24] Joint Energy and Reactive Power Market Considering Coupled Active and Reactive Reserve Market Ensuring System Security
    Ahmadi, Hamed
    Foroud, Asghar Akbari
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2014, 39 (06) : 4789 - 4804
  • [25] Joint Energy and Reactive Power Market Considering Coupled Active and Reactive Reserve Market Ensuring System Security
    Hamed Ahmadi
    Asghar Akbari Foroud
    Arabian Journal for Science and Engineering, 2014, 39 : 4789 - 4804
  • [26] Joint Energy and Spinning Reserve Market Clearing Incorporating Wind Power and Load Forecast Uncertainties
    Reddy, S. Surender
    Bijwe, P. R.
    Abhyankar, A. R.
    IEEE SYSTEMS JOURNAL, 2015, 9 (01): : 152 - 164
  • [27] Voltage and reactive power correlation in multi-objective optimization of an offshore grid
    Raza, Muhammad
    AUTOMATIKA, 2021, 62 (3-4) : 454 - 470
  • [28] Multi-objective Clearing of Reactive Power Market Including Plug-in Hybrid Electric Vehicle
    Farahani, H. Feshki
    Shayanfar, H. A.
    Ghazizadeh, M. S.
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2013, 41 (02) : 197 - 220
  • [29] Probabilistic multi-objective energy management of a distribution system considering reactive power injection by voltage source converters
    Singh, Abhishek
    Maulik, Avirup
    Maheshwari, Ashish
    ELECTRICAL ENGINEERING, 2023, 105 (04) : 2107 - 2136
  • [30] Probabilistic multi-objective energy management of a distribution system considering reactive power injection by voltage source converters
    Abhishek Singh
    Avirup Maulik
    Ashish Maheshwari
    Electrical Engineering, 2023, 105 : 2107 - 2136