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1

Amjady, Nima, Shahab Dehghan, Ahmad Attarha, and Antonio J. Conejo. "Adaptive Robust Network-Constrained AC Unit Commitment." IEEE Transactions on Power Systems 32, no. 1 (2017): 672–83. http://dx.doi.org/10.1109/tpwrs.2016.2562141.

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2

Jiang, Ruiwei, Muhong Zhang, Guang Li, and Yongpei Guan. "Two-stage network constrained robust unit commitment problem." European Journal of Operational Research 234, no. 3 (2014): 751–62. http://dx.doi.org/10.1016/j.ejor.2013.09.028.

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3

Ostrowski, James, and Jianhui Wang. "Network reduction in the Transmission-Constrained Unit Commitment problem." Computers & Industrial Engineering 63, no. 3 (2012): 702–7. http://dx.doi.org/10.1016/j.cie.2012.02.013.

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4

Hajivar, G. A. M. Hosaini, and S. S. Mortazavi. "Shunt-Series FACTS Devices on Network Constrained Unit Commitment." International Journal of Applied Power Engineering (IJAPE) 5, no. 1 (2016): 40. http://dx.doi.org/10.11591/ijape.v5.i1.pp40-50.

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<p>Shunt-Series FACTS Devices (SSFD) would play an important role in maintaining security and reduce Total Generation Cost (TGC) in the economical operation of power systems. The application of this devices to the AC model of Network-Constrained Unit Commitment (NCUC) for the day ahead scheduling is presented in this paper. The proposed AC model of NCUC with SSFD would include active and reactive power flow constraints which increase the network controllability at normal operation. A general SSFD model is introduced for the reactive power management in NCUC which is based on the reactive
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5

Shayan, H., and T. Amraee. "Network Constrained Unit Commitment Under Cyber Attacks Driven Overloads." IEEE Transactions on Smart Grid 10, no. 6 (2019): 6449–60. http://dx.doi.org/10.1109/tsg.2019.2904873.

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6

Wu, Lei, and Mohammad Shahidehpour. "Accelerating the Benders decomposition for network-constrained unit commitment problems." Energy Systems 1, no. 3 (2010): 339–76. http://dx.doi.org/10.1007/s12667-010-0015-4.

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7

El-Meligy, Mohammed A., and Mohamed Sharaf. "Robust transmission expansion planning under robust network constrained-unit commitment." Electric Power Systems Research 229 (April 2024): 110164. http://dx.doi.org/10.1016/j.epsr.2024.110164.

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8

Constante-Flores, Gonzalo E., Antonio J. Conejo, and Feng Qiu. "AC network-constrained unit commitment via conic relaxation and convex programming." International Journal of Electrical Power & Energy Systems 134 (January 2022): 107364. http://dx.doi.org/10.1016/j.ijepes.2021.107364.

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9

Nanou, Sotirios I., Georgios N. Psarros, and Stavros A. Papathanassiou. "Network-constrained unit commitment with piecewise linear AC power flow constraints." Electric Power Systems Research 195 (June 2021): 107125. http://dx.doi.org/10.1016/j.epsr.2021.107125.

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10

Ghanbari-Firouzabadi, Ali, Abolfazl Pirayesh, and Masoud Esmaili. "Efficient period elimination Benders decomposition for network-constrained AC unit commitment." IET Generation, Transmission & Distribution 13, no. 10 (2019): 1802–10. http://dx.doi.org/10.1049/iet-gtd.2018.5409.

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11

Nasri, Amin, S. Jalal Kazempour, Antonio J. Conejo, and Mehrdad Ghandhari. "Network-Constrained AC Unit Commitment Under Uncertainty: A Benders’ Decomposition Approach." IEEE Transactions on Power Systems 31, no. 1 (2016): 412–22. http://dx.doi.org/10.1109/tpwrs.2015.2409198.

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12

Wang, Chaoqun, Hua Wei, and Siyuan Wu. "Network-constrained hydrothermal unit commitment using benders and optimality condition decompositions." IEEJ Transactions on Electrical and Electronic Engineering 13, no. 5 (2018): 704–14. http://dx.doi.org/10.1002/tee.22620.

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13

Sreejith, Sekharan, and Sishaj P. Simon. "Security Constrained Unit Commitment Incorporating Interline Power Flow Controller." Periodica Polytechnica Electrical Engineering and Computer Science 61, no. 1 (2017): 22. http://dx.doi.org/10.3311/ppee.9460.

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Security-constrained unit commitment (SCUC) problem is solved using Artificial Bee Colony (ABC) algorithm incorporating Interline Power Flow Controller (IPFC). The objective of the SCUC problem is to obtain the minimum operating cost simultaneously maintaining the system security. The SCUC problem involves unit commitment as the main problem and security-constrained Economic Dispatch (SCED) as the sub problem. The solution of the SCUC problem is also investigated during contingency with a single line outage. Binary coded artificial bee colony (BABC) is used for solving the UC problem (master p
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14

Papavasiliou, Anthony, and Shmuel S. Oren. "Multiarea Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network." Operations Research 61, no. 3 (2013): 578–92. http://dx.doi.org/10.1287/opre.2013.1174.

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15

Tumuluru, Vamsi Krishna, and Danny H. K. Tsang. "A Two-Stage Approach for Network Constrained Unit Commitment Problem With Demand Response." IEEE Transactions on Smart Grid 9, no. 2 (2018): 1175–83. http://dx.doi.org/10.1109/tsg.2016.2580578.

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16

Wang, Yamin, Lei Wu, and Jie Li. "A fully distributed asynchronous approach for multi-area coordinated network-constrained unit commitment." Optimization and Engineering 19, no. 2 (2018): 419–52. http://dx.doi.org/10.1007/s11081-018-9375-8.

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17

Bai, Yang, Haiwang Zhong, Qing Xia, Chongqing Kang, and Le Xie. "A decomposition method for network-constrained unit commitment with AC power flow constraints." Energy 88 (August 2015): 595–603. http://dx.doi.org/10.1016/j.energy.2015.05.082.

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18

Chandrasekaran, K., and Sishaj P. Simon. "Network and reliability constrained unit commitment problem using binary real coded firefly algorithm." International Journal of Electrical Power & Energy Systems 43, no. 1 (2012): 921–32. http://dx.doi.org/10.1016/j.ijepes.2012.06.004.

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19

Mortezayi, Reza, Abbas Rabiee, and Ali Abdali. "Boosting Transmission System Flexibility in Network-Constrained Unit Commitment by Incorporating Distributed Series Reactors." International Transactions on Electrical Energy Systems 2022 (September 15, 2022): 1–14. http://dx.doi.org/10.1155/2022/2029424.

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In the recent decade, renewable energy sources (RES) such as wind and photovoltaic (PV) power generations gained more attention. However, despite their proven role in the reduction of operating costs of the network, their integration has some serious challenges such as the inherent uncertainties and the energy balance at the power grid. Some options to face these challenges, as well as to enhance the network’s flexibility, are demand response (DR), distributed FACTS (D-FACTS) devices, and energy storage systems (ESS). This paper focuses on the solution of the unit commitment (UC) problem in su
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20

Dieu, Vo Ngoc, and Weerakorn Ongsakul. "Ramp rate constrained unit commitment by improved priority list and augmented Lagrange Hopfield network." Electric Power Systems Research 78, no. 3 (2008): 291–301. http://dx.doi.org/10.1016/j.epsr.2007.02.011.

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21

Gong, Lin, Chunheng Wang, Chenxu Zhang, and Yong Fu. "High-Performance Computing Based Fully Parallel Security-Constrained Unit Commitment With Dispatchable Transmission Network." IEEE Transactions on Power Systems 34, no. 2 (2019): 931–41. http://dx.doi.org/10.1109/tpwrs.2018.2876025.

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22

Liu, Jianfeng, Carl D. Laird, Joseph K. Scott, Jean-Paul Watson, and Anya Castillo. "Global Solution Strategies for the Network-Constrained Unit Commitment Problem With AC Transmission Constraints." IEEE Transactions on Power Systems 34, no. 2 (2019): 1139–50. http://dx.doi.org/10.1109/tpwrs.2018.2876127.

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23

Du, Ershun, Ning Zhang, Chongqing Kang, and Qing Xia. "A High-Efficiency Network-Constrained Clustered Unit Commitment Model for Power System Planning Studies." IEEE Transactions on Power Systems 34, no. 4 (2019): 2498–508. http://dx.doi.org/10.1109/tpwrs.2018.2881512.

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24

Tang, Xian, Xiaoqing Bai, Zonglong Weng, and Rui Wang. "Graph convolutional network-based security-constrained unit commitment leveraging power grid topology in learning." Energy Reports 9 (December 2023): 3544–52. http://dx.doi.org/10.1016/j.egyr.2023.02.042.

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25

Habibi, M., V. Vahidinasab, J. Aghaei, and B. Mohammadi‐Ivatloo. "Assessment of energy storage systems as a reserve provider in stochastic network constrained unit commitment." IET Smart Grid 4, no. 2 (2021): 139–50. http://dx.doi.org/10.1049/stg2.12012.

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26

Isuru, Mohasha, Matthias Hotz, H. B. Gooi, and Wolfgang Utschick. "Network-constrained thermal unit commitment for hybrid AC/DC transmission grids under wind power uncertainty." Applied Energy 258 (January 2020): 114031. http://dx.doi.org/10.1016/j.apenergy.2019.114031.

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27

G. Cobos, Noemi, José M. Arroyo, Natalia Alguacil, and Alexandre Street. "Network-constrained unit commitment under significant wind penetration: A multistage robust approach with non-fixed recourse." Applied Energy 232 (December 2018): 489–503. http://dx.doi.org/10.1016/j.apenergy.2018.09.102.

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28

Li, Chaoshun, Wenxiao Wang, Jinwen Wang, and Deshu Chen. "Network-constrained unit commitment with RE uncertainty and PHES by using a binary artificial sheep algorithm." Energy 189 (December 2019): 116203. http://dx.doi.org/10.1016/j.energy.2019.116203.

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29

Zheng, Xiaodong, Baorong Zhou, Xiuli Wang, et al. "Day-ahead Network-constrained Unit Commitment Considering Distributional Robustness and Intraday Discreteness: A Sparse Solution Approach." Journal of Modern Power Systems and Clean Energy 11, no. 2 (2023): 489–501. http://dx.doi.org/10.35833/mpce.2021.000413.

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30

Cheng, Honghu, Yongbo Li, Hailong Jiang, Wenbing Sun, Chao Wei, and Xia Huang. "A Generative Adversarial Imitation Learning-based Unit Commitment Strategy with Renewable Distributed Generators." Journal of Physics: Conference Series 3015, no. 1 (2025): 012010. https://doi.org/10.1088/1742-6596/3015/1/012010.

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Abstract With the integration of large-scale renewable distributed generators (RDGs), the uncertainties and complexity of the security-constrained unit commitment (SCUC) problem have increased significantly. Traditional model-driven methods struggle with computational speed and the need for high-precision modeling, while reinforcement learning (RL) approaches require manually defined reward functions. To address these issues, this paper proposes a novel SCUC strategy based on Generative Adversarial Imitation Learning (GAIL). The proposed strategy allows for the direct learning of the optimal S
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31

Gutierrez-Alcaraz, Guillermo, and Victor Hinojosa. "Using Generalized Generation Distribution Factors in a MILP Model to Solve the Transmission-Constrained Unit Commitment Problem." Energies 11, no. 9 (2018): 2232. http://dx.doi.org/10.3390/en11092232.

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This study proposes a mixed-integer linear programming (MILP) model to figure out the transmission-constrained direct current (DC)-based unit commitment (UC) problem using the generalized generation distribution factors (GGDF) for modeling the transmission network constraints. The UC problem has been reformulated using these linear distribution factors without sacrificing optimality. Several test power systems (PJM 5-bus, IEEE-24, and 118-bus) have been used to validate the introduced formulation. Results demonstrate that the proposed approach is more compact and less computationally burdensom
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32

Sun, Dayan, Liudong Zhang, Dawei Su, and Yubo Yuan. "Two-Stage Robust Security-Constrained Unit Commitment with Optimizable Interval of Uncertain Wind Power Output." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/9153297.

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Because wind power spillage is barely considered, the existing robust unit commitment cannot accurately analyze the impacts of wind power accommodation on on/off schedules and spinning reserve requirements of conventional generators and cannot consider the network security limits. In this regard, a novel double-level robust security-constrained unit commitment formulation with optimizable interval of uncertain wind power output is firstly proposed in this paper to obtain allowable interval solutions for wind power generation and provide the optimal schedules for conventional generators to cope
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33

Naghdalian, Salar, Turaj Amraee, Sadegh Kamali, and Florin Capitanescu. "Stochastic Network-Constrained Unit Commitment to Determine Flexible Ramp Reserve for Handling Wind Power and Demand Uncertainties." IEEE Transactions on Industrial Informatics 16, no. 7 (2020): 4580–91. http://dx.doi.org/10.1109/tii.2019.2944234.

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34

Haghighi, Yadollah, Bahman Bahmani-Firouzi, and Mehdi Nafar. "A Partnership of Virtual Power Plant in Day-Ahead Energy and Reserve Markets Based on Linearized AC Network-Constrained Unit Commitment Model." International Transactions on Electrical Energy Systems 2022 (September 6, 2022): 1–16. http://dx.doi.org/10.1155/2022/5650527.

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This paper presents coordinated energy management as a virtual power plant (VPP) framework with a wind farm, a storage system, and a demand response program in the transmission network according to the cooperation of VPPs in day-ahead energy and reserve markets. This strategy is based on a bilevel method, where it maximizes the expected VPP revenue in the proposed markets subject to constraints of renewable and flexible sources and the VPP reserve model in the upper-level problem. Also, a market-clearing model based on network-constrained unit commitment (NCUC) is explained in the lower-level
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35

Xu, Yiting, Tao Ding, Ming Qu, and Pengwei Du. "Adaptive Dynamic Programming for Gas-Power Network Constrained Unit Commitment to Accommodate Renewable Energy With Combined-Cycle Units." IEEE Transactions on Sustainable Energy 11, no. 3 (2020): 2028–39. http://dx.doi.org/10.1109/tste.2019.2951616.

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36

Hosseini, Seyed Erfan, Alimorad Khajehzadeh, and Mahdiyeh Eslami. "Financial and Environmental Investigation of the Effects of the Demand Response Programs on the Network-Constrained Unit Commitment." Payam-e-Marefat-Kabul Education University 20, no. 4 (2023): 133–45. http://dx.doi.org/10.61186/jiaeee.20.4.133.

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37

Hosseini, Seyed Erfan, Alimorad Khajehzadeh, and Mahdiyeh Eslami. "Financial and Environmental Investigation of the Effects of the Demand Response Programs on the Network-Constrained Unit Commitment." Journal of Association of Electrical and Electronics Engineers 20, no. 4 (2023): 133–45. http://dx.doi.org/10.61186/jiaeee.20.4.2442.

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38

Lima, Ricardo M., Gonzalo E. Constante-Flores, Antonio J. Conejo, and Omar M. Knio. "An effective hybrid decomposition approach to solve the network-constrained stochastic unit commitment problem in large-scale power systems." EURO Journal on Computational Optimization 12 (2024): 100085. http://dx.doi.org/10.1016/j.ejco.2024.100085.

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39

Akhlaghi, M., Z. Moravej, and A. Bagheri. "Maximizing wind energy utilization in smart power systems using a flexible network-constrained unit commitment through dynamic lines and transformers rating." Energy 261 (December 2022): 124918. http://dx.doi.org/10.1016/j.energy.2022.124918.

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40

Lin, Shunjiang, Guansheng Fan, Yuan Lu, Mingbo Liu, Yi Lu, and Qifeng Li. "A Mixed-Integer Convex Programming Algorithm for Security-Constrained Unit Commitment of Power System with 110-kV Network and Pumped-Storage Hydro Units." Energies 12, no. 19 (2019): 3646. http://dx.doi.org/10.3390/en12193646.

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The secure operation of 110-kV networks should be considered in the optimal generation dispatch of regional power grids in large central cities. However, since 110-kV lines do not satisfy the premise of R << X in the direct current power flow (DCPF) model, the DCPF, which is mostly applied in the security-constrained unit commitment (SCUC) problem of high-voltage power grids, is no longer suitable for describing the active power flow of regional power grids in large central cities. Hence, the quadratic active power flow (QAPF) model considering the resistance of lines is proposed to desc
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41

Psarros, Georgios N., Georgios I. Tsourakis, and Stavros A. Papathanassiou. "Dimensioning of Reactive Power Compensation in an Autonomous Island System." Applied Sciences 12, no. 6 (2022): 2827. http://dx.doi.org/10.3390/app12062827.

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In this paper, a method for sizing the reactive power compensation in a non-interconnected island power system is presented and applied to determine the necessary inductive reactive power compensation for the autonomous power system of Rhodes Island, Greece. The Rhodes power system is often confronted with an excess of reactive power, as a result—inter alia—of underground high-voltage (HV) cable lines and distributed generation penetration. Reactive power compensation is typically a local issue in power systems, usually aiming at maintaining an acceptable voltage profile on specific transmissi
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42

Marín-Cano, Cristian Camilo, Juan Esteban Sierra-Aguilar, Jesús M. López-Lezama, Álvaro Jaramillo-Duque, and Walter M. Villa-Acevedo. "Implementation of User Cuts and Linear Sensitivity Factors to Improve the Computational Performance of the Security-Constrained Unit Commitment Problem." Energies 12, no. 7 (2019): 1399. http://dx.doi.org/10.3390/en12071399.

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Power system operators must schedule the available generation resources required to achieve an economical, reliable, and secure energy production in power systems. This is usually achieved by solving a security-constrained unit commitment (SCUC) problem. Through a SCUC the System Operator determines which generation units must be on and off-line over a time horizon of typically 24 h. The SCUC is a challenging problem that features high computational cost due to the amount and nature of the variables involved. This paper presents an alternative formulation to the SCUC problem aimed at reducing
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43

Amjady, Nima, and Mohammad Reza Ansari. "Security-constrained Unit Commitment Considering Hydro Units and AC Network Modeling by a New Hybrid Solution Method Composed of Benders Decomposition and Outer Approximation." Electric Power Components and Systems 40, no. 13 (2012): 1445–69. http://dx.doi.org/10.1080/15325008.2012.700382.

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44

Gonzalez-Castellanos, Alvaro, Priyanko Guha Thakurta, and Aldo Bischi. "Congestion management via increasing integration of electric and thermal energy infrastructures." E3S Web of Conferences 238 (2021): 05005. http://dx.doi.org/10.1051/e3sconf/202123805005.

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Congestion caused in the electrical network due to renewable generation can be effectively managed by integrating electric and thermal infrastructures, the latter being represented by large scale District Heating (DH) networks, often fed by large combined heat and power (CHP) plants. The CHP plants could further improve the profit margin of district heating multi-utilities by selling electricity in the power market by adjusting the ratio between generated heat and power. The latter is possible only for certain CHP plants, which allow decoupling the two commodities generation, namely the ones p
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45

Moreno, Ricardo, Johan Obando, and Gabriel Gonzalez. "An integrated OPF dispatching model with wind power and demand response for day-ahead markets." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2019): 2794. http://dx.doi.org/10.11591/ijece.v9i4.pp2794-2802.

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In the day-ahead dispatching of network-constrained electricity markets, renewable energy and distributed resources are dispatched together with conventional generation. The uncertainty and volatility associated to renewable resources represents a new paradigm to be faced for power system operation. Moreover, in various electricity markets there are mechanisms to allow the demand participation through demand response (DR) strategies. Under operational and economic restrictions, the operator each day, or even in intra-day markets, dispatchs an optimal power flow to find a feasible state of oper
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46

Ricardo, Moreno, Obando Johan, and Gonzalez Gabriel. "An integrated OPF dispatching model with wind power and demand response for day-ahead markets." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2019): 2794–802. https://doi.org/10.11591/ijece.v9i4.pp2794-2802.

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In the day-ahead dispatching of network-constrained electricity markets, renewable energy and distributed resources are dispatched together with conventional generation. The uncertainty and volatility associated to renewable resources represents a new paradigm to be faced for power system operation. Moreover, in various electricity markets there are mechanisms to allow the demand participation through demand response (DR) strategies. Under operational and economic restrictions, the operator each day, or even in intra-day markets, dispatchs an optimal power flow to find a feasible state of oper
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47

Dehghani, Mohammad, Mohammad Mardaneh, Om Parkash Malik, et al. "Energy Commitment for a Power System Supplied by Multiple Energy Carriers System using Following Optimization Algorithm." Applied Sciences 10, no. 17 (2020): 5862. http://dx.doi.org/10.3390/app10175862.

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In today’s world, the development and continuation of life require energy. Supplying this energy demand requires careful and scientific planning of the energy provided by a variety of products, such as oil, gas, coal, electricity, etc. A new study on the operation of energy carriers called Energy Commitment (EC) is proposed. The purpose of the EC is to set a pattern for the use of energy carriers to supply energy demand, considering technical and economic constraints. EC is a constrained optimization problem that can be solved by using optimization methods. This study suggests the Following Op
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48

Lau, Eng, Kok Chai, Yue Chen, and Jonathan Loo. "Efficient Economic and Resilience-Based Optimization for Disaster Recovery Management of Critical Infrastructures." Energies 11, no. 12 (2018): 3418. http://dx.doi.org/10.3390/en11123418.

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The traditional grid operation is unfortunately lacking the resilience and responsiveness in reacting to contingency events due to the poor utilization of available resources in mitigating the shortfalls. Such an unaddressed issue may affect the grid stability and the ultimate grid blackout. Therefore, this paper models a grid optimization module consisting of a mid and low (microgrid) voltage level grid component of an urban grid network for a disaster recovery. The model minimizes the cost of generation required to meet the demand through the economic dispatch in combination with the unit co
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49

Bharat, Singh, and Kumar Ashwani. "Sizing of Energy Storage with Network Constraints Economic Dispatch of Fuel Cell Micro-Turbine and Renewable Energy Sources." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 881–91. https://doi.org/10.35940/ijeat.E9871.069520.

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Micro-Grid is the appropriate solution to various problems in the power system. Different types of energy sources, likewise Fuel cell (FC), Micro-Turbine (MT) and renewable energy sources can be integrated with micro-grids (MG). The battery energy storage has played a crucial role to support the power mismatch of on-grid or off-grid MG. Therefore the optimal size of battery energy storage along with the optimal cost-based calculation has become an essential part for the micro-grid operator. The piecewise linear cost method is used for the cost based analysis. The main contribution of this pape
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50

Hajivar, G. A. M. Hosaini, and S. S. Mortazavi. "Impact of Shunt FACTS Devices on Security Constrained Unit Commitment." International Journal of Applied Power Engineering (IJAPE) 5, no. 1 (2016): 22. http://dx.doi.org/10.11591/ijape.v5.i1.pp22-39.

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Shunt FACTS Devices (SFD) would play an important role in maintaining security and reduce total generation cost in the economical operation of power systems. The application of this device to the AC model of securityconstrained unit commitment (SCUC) for the day ahead scheduling is presented in this paper. The proposed AC model of SCUC with SFD would include active and reactive power flow constraints which increase the network controllability at normal operation and contingency. A general SFD model is introduced for the reactive power management in SCUC which is based on the reactive power inj
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