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Predictive Active Power Control of Two Interconnected Microgrids

Predictive Active Power Control of Two Interconnected Microgrids When dealing with interconnected power systems, any sudden load changes leads to the deviation of active power and frequency in the tie-line. The daily management of the power system is also conditioned by the control of the active power and the frequency. It is a very important task in the conduct of the any electrical network to supply sufficiently and with high reliability the active power to be transmitted to the customers. Maintaining the frequency of each area and tie-line active power flow variation within prescribed value by adjusting the generator active outputs remain one of the main tasks of the network operators. This paper presents a model predictive regulator in controlling the power flow in tie-lines and frequency deviations in the microgrid, which will lead to power balance between the total active power generated and active power demand of the system. The system being studied consists of two microgrids, each made up of a wind farm, conventional thermal and hydro plants generator, photovoltaic (PV) system, storage system and active power demand. Predictive control algorithm is applied to control the power flow between two microgrids. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Technology and Economics of Smart Grids and Sustainable Energy Springer Journals

Predictive Active Power Control of Two Interconnected Microgrids

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Nature Singapore Pte Ltd.
Subject
Energy; Energy Systems; Power Electronics, Electrical Machines and Networks; Energy Economics
eISSN
2199-4706
DOI
10.1007/s40866-018-0040-2
Publisher site
See Article on Publisher Site

Abstract

When dealing with interconnected power systems, any sudden load changes leads to the deviation of active power and frequency in the tie-line. The daily management of the power system is also conditioned by the control of the active power and the frequency. It is a very important task in the conduct of the any electrical network to supply sufficiently and with high reliability the active power to be transmitted to the customers. Maintaining the frequency of each area and tie-line active power flow variation within prescribed value by adjusting the generator active outputs remain one of the main tasks of the network operators. This paper presents a model predictive regulator in controlling the power flow in tie-lines and frequency deviations in the microgrid, which will lead to power balance between the total active power generated and active power demand of the system. The system being studied consists of two microgrids, each made up of a wind farm, conventional thermal and hydro plants generator, photovoltaic (PV) system, storage system and active power demand. Predictive control algorithm is applied to control the power flow between two microgrids.

Journal

Technology and Economics of Smart Grids and Sustainable Energy – Springer Journals

Published: Apr 11, 2018

References

  • Distributed MPC strategies with application to power system automatic generation control
    Venkat, AN; Hiskens, IA; Rawlings, JB; Wright, SJ
  • A distributed model predictive control based load frequency control scheme for multi-area interconnected power system using discrete-time Laguerre functions
    Zheng, Y; Zhou, J; Xu, Y; Zhang, Y; Qian, Z
  • Distributed model predictive load frequency control of multi-area interconnected power system
    Ma, M; Chen, H; Liu, X; Allgowen, F
  • Model predictive control for load frequency control with wind turbines
    Zhang, Y; Liu, X; Yan, Y
  • Decentralized model predictive based load frequency control in an interconnected power system
    Mohamed, TH; Bevrani, H; Hassan, AA; Hiyama, T
  • Model predictive based load frequency control based concerning wind turbines
    Mohamed, TH; Morel, J; Bevrani, H; Hiyama, T
  • Model predictive load frequency control taking into account imbalance uncertainty
    Ersdal, AM; Imsland, L; Uhlen, K; Fabozi, D; Thornhill, NF
  • Model predictive load frequency control
    Ersdal, AM; Imsland, L; Uhlen, K
  • Robust multivariable predictive based load frequency control considering generation rate constraint
    Shiroei, M; Toulabi, MR; Ranjbar, AM
  • Supervisory predictive control of power system load frequency control
    Shiroei, M; Ranjbar, AM
  • Load frequency control: a generalized neural network approach
    Chaturvedi, DK; Satsangi, PS; Kalra, PK
  • Sliding mode based load frequency control in power systems
    Vrdoljak, K; Peric, N; Petrovic, I
  • Weight optimisation for iterative distributed model predictive control applied to power networks
    Namara, PM; Negenborm, RR; De Schutter, B; Lightbody, G
  • Small signal analysis of isolated hybrid power systems: reactive power and frequency control analysis
    Bansal, RC; Bhatti, TS
  • Load frequency control in isolated microgrid with electrical vehicles based on multivariable generalized predictive theory
    Yang, J; Zeng, Z; Tang, Y; Yan, J; He, H; Wu, Y
  • Design of proportional-integral-derivative controller using ant colony optimization technique in multi-area automatic generation control
    Jagatheesan, K; Anand, B; Omar, M
  • Robust PI control of smart controllable load frequency stabilization of microgrid power system
    Nandar, CSA
  • Bibliography on the fuzzy set theory applications to power systems (1994–2001)
    Bansal, RC
  • Design of a robust load frequency control using sequential quadratic programming technique
    Khodabakhshian, A; Pour, ME; Hooshmand, R
  • Multiobjective design of load frequency control using algorithms
    Daneshfar, F; Bevrani, H
  • Load frequency control of interconnected power system using emotional learning-based intelligent controller
    Farhangi, R; Boroushaki, M; Hosseini, SH
  • Load frequency control of a multi-area power system: an adaptive fuzzy logic approach
    Yousef, HA; AL-Kharusi, K; Albadi, MH; Hosseinzadeh, N
  • Bat inspired algorithm based optimal design of model predictive load frequency control
    Elsisi, M; Soliman, M; Aboelela, MAS; Mansour, W
  • Neural predictive controller of a two area load frequency control for interconnected power system
    Kassem, AM
  • An optimal operation of wind energy storage system for frequency control based on model predictive control
    Khalid, M; Savkin, AV
  • Distributed model predictive load frequency control of multi-area power system after deregulation
    Ma, M; Zhang, C; Liu, X; Chen, H
  • Development of whole building model predictive control strategy for a Leed silver community college
    Hilliard, T; Swan, L; Kavgic, M; Qin, Z; Lingras, P
  • Evaluation of wind energy potential for different turbine models based on the wind speed data of Zabol region, Iran
    Komleh, SHP; Akram, A
  • Active power reserve estimation of two interconnected microgrids
    Tungadio, DH; Bansal, RC
  • Harvesting maximal PV energy with fine grained energy distribution: an alternative to traditional PV systems in buildings
    Khalid, Q; Ikram, MJ; Arshad, N
  • Experimental and numerical studies to assess the energy performance of naturally ventilated PV façade systems
    Shahrestani, M; Yao, R; Essah, E; Shao, L; Oliveira, AC; Hepbasli, A; Biyik, E; del Cano, T; Rico, E; Lechon, JL
  • Optimal energy control of a grid-connected solar wind-based electric power plant applying time-of-use tariffs
    Siti, MW; Tiako, R
  • Model predictive control system design and implementation using Matlab
    Wang, L
  • Optimal control of active power of two micro-grids interconnected with two AC tie-lines
    Tungadio, DH; Bansal, RC; Siti, MW