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Journal articles on the topic 'Dynamic economic dispatch'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Barcelo, W. R., and P. Rastgoufard. "Dynamic economic dispatch using the extended security constrained economic dispatch algorithm." IEEE Transactions on Power Systems 12, no. 2 (1997): 961–67. http://dx.doi.org/10.1109/59.589791.

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Mohd, Ruddin Ab Ghani, Tahseen Hussein Saif, Huda Mohd Amin Nur, Jano Zanariah, and Sutikno Tole. "Dynamic Economic Dispatch Problems: PSO Approach." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 1 (2017): 48–61. https://doi.org/10.12928/TELKOMNIKA.v15i1.4618.

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Due to limited availability of coal and gases, optimization plays an important factor in thermal generation problems. The economic dispatch problems are dynamic in nature as demand varies with time. These problems are complex since they are large dimensional, involving hundreds of variables, and have a number of constraints such as spinning reserve and group constraints. Particle Swarm Optimization (PSO) method is used to solve these challenging optimization problems. Three test cases are studied where PSO technique is successfully applied.

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Chen, Zitao, Quanbin Deng, and Kairui Chen. "Adaptive Dynamic Programming and Its Application to Economic Dispatch in Microgrid: A Brief Overview." Journal of Advances in Applied & Computational Mathematics 9 (May 24, 2022): 13–31. http://dx.doi.org/10.15377/2409-5761.2022.09.2.

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Both adaptive dynamic programming and other intelligent algorithms can solve the economic dispatch problem in the microgrid. Adaptive dynamic programming can reduce the computational burden, which the intelligent algorithms suffer from, by using function approximation structure to approximate performance index function. In recent years, it has been also widely used in economic dispatch in the microgrid. In this article, we introduce some recent research trends within the field of adaptive dynamic programming based economic dispatch. Adaptive dynamic programming is firstly reviewed. Then, the c

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Ab Ghani, Mohd Ruddin, Saif Tahseen Hussein, Nur Huda Mohd Amin, Zanariah Jano, and Tole Sutikno. "Dynamic Economic Dispatch Problems: PSO Approach." TELKOMNIKA (Telecommunication Computing Electronics and Control) 15, no. 1 (2017): 48. http://dx.doi.org/10.12928/telkomnika.v15i1.4618.

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Ferrero, R. W., and S. M. Shahidehpour. "Dynamic economic dispatch in deregulated systems." International Journal of Electrical Power & Energy Systems 19, no. 7 (1997): 433–39. http://dx.doi.org/10.1016/s0142-0615(97)00012-4.

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6

Liu, Jiao Jiao, Zhi Jie Wang, Yi Zhi Ye, and Zhen Hai Zhang. "Research for PV Cell and Storage Battery of Dynamic Economic Dispatch in Micro-Grid." Advanced Materials Research 998-999 (July 2014): 458–61. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.458.

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The method of day-ahead dynamic economic dispatch is applied to the micro-grid composed of photovoltaic (PV) generation system and batteries to make its operational cost minimized. The battery life was converted cost and added to the objective function. Micro-grid’s mathematical model of economic dispatch was set up. Mathematical model of economic dispatch was solved by using the method of real population genetic algorithm. The charge and discharge plan of battery in micro-grid and buying or selling electricity plan between micro-grid and State Grid was established at the same time. Taking rea

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7

Colambage, D. Punsara, W. D. Anura S. Wijayapala, and Tilak Siyambalapitiya. "Exploring the Dynamic Landscape of Economic Dispatch: A Comprehensive Review of Stochastic Programming Techniques." International Journal of Research and Innovation in Social Science IX, no. IV (2025): 1867–88. https://doi.org/10.47772/ijriss.2025.90400141.

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Ensuring the provision of high-quality and continuous power at an affordable rate stands as the primary objective of power systems. To achieve this goal, utilities devise economic dispatch schedules for each quarter-hour time slot, leveraging stochastic programming methodologies. This becomes imperative due to the inherent uncertainty associated with renewable energy sources, heavily reliant on weather and climate conditions. Dynamic Programming, Stochastic Dynamic Programming, and Stochastic Dual Dynamic Programming techniques are deployed to formulate real-time economic dispatch schedules. N

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Mehdi, M. F., A. Ahmad, S. S. Ul Haq, M. Saqib, and M. F. Ullah. "Dynamic economic emission dispatch using whale optimization algorithm for multi-objective function." Electrical Engineering & Electromechanics, no. 2 (April 10, 2021): 64–69. http://dx.doi.org/10.20998/2074-272x.2021.2.09.

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Introduction. Dynamic Economic Emission Dispatch is the extended version of the traditional economic emission dispatch problem in which ramp rate is taken into account for the limit of generators in a power network. Purpose. Dynamic Economic Emission Dispatch considered the treats of economy and emissions as competitive targets for optimal dispatch problems, and to reach a solution it requires some conflict resolution. Novelty. The decision-making method to solve the Dynamic Economic Emission Dispatch problem has a goal for each objective function, for this purpose, the multi-objective problem

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9

Lamba, Prof Kanika. "Economic Load Dispatch." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 1646–51. http://dx.doi.org/10.22214/ijraset.2021.35330.

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ELD or Economic load dispatch is an online process of allocating generating among the available generating units to minimize the total generating cost and satisfy the equality and inequality constraint. ELD means the real and reactive power of the generator vary within the certain limits and fulfils theload demand with less fuel cost. There are some traditional methods for = 1; 2; :::;N) isgiven as Vi=[Vi;1; Vi;2; :::; Vi;D]. The index ivaries from solving ELD include lambda irritation method, Newton-Raphson method, Gradient method, etc. All these traditional algorithms need the incremental fu

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10

Torchani, A., A. Boudjemline, H. Gasmi, Y. Bouazzi, and T. Guesmi. "Dynamic Economic/Environmental Dispatch Problem Considering Prohibited Operating Zones." Engineering, Technology & Applied Science Research 9, no. 5 (2019): 4586–90. http://dx.doi.org/10.48084/etasr.2904.

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Along with economic dispatch, emission dispatch has become a key problem under market conditions. Thus, the combination of the above problems in one problem called economic emission dispatch (EED) problem became inevitable. However, due to the dynamic nature of today’s network loads, it is required to schedule the thermal unit outputs in real-time according to the variation of power demands during a certain time period. Within this context, this paper presents an elitist technique, the second version of the non-dominated sorting genetic algorithm (NSAGII) for solving the dynamic economic emiss

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11

Torchani, Ahmed, Attia Boudjemline, Hatem Gasmi, Yassine Bouazzi, and Tawfik Guesmi. "Dynamic Economic/Environmental Dispatch Problem Considering Prohibited Operating Zones." Engineering, Technology & Applied Science Research 9, no. 5 (2019): 4586–90. https://doi.org/10.5281/zenodo.3510123.

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Along with economic dispatch, emission dispatch has become a key problem under market conditions. Thus, the combination of the above problems in one problem called economic emission dispatch (EED) problem became inevitable. However, due to the dynamic nature of today’s network loads, it is required to schedule the thermal unit outputs in real-time according to the variation of power demands during a certain time period. Within this context, this paper presents an elitist technique, the second version of the non-dominated sorting genetic algorithm (NSAGII) for solving the dynamic economic

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12

M., F. Mehdi, Ahmad A., S. Ul Haq S., Saqib M., and F. Ullah M. "Dynamic economic emission dispatch using whale optimization algorithm for multi-objective function." Electrical Engineering & Electromechanics, no. 2 (April 5, 2021): 64–69. https://doi.org/10.20998/2074-272X.2021.2.09.

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<strong><em>Introduction.</em></strong><em> Dynamic Economic Emission Dispatch is the extended version of the traditional economic emission dispatch problem in which ramp rate is taken into account for the limit of generators in a power network. <strong>Purpose.</strong> Dynamic Economic Emission Dispatch considered the treats of economy and emissions as competitive targets for optimal dispatch problems, and to reach a solution it requires some conflict resolution. <strong>Novelty.</strong> The decision-making method to solve the Dynamic Economic Emission Dispatch prob

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13

Han, X. S., H. B. Gooi, and D. S. Kirschen. "Dynamic Economic Dispatch: Feasible and Optimal Solutions." IEEE Power Engineering Review 21, no. 2 (2001): 56. http://dx.doi.org/10.1109/mper.2001.4311288.

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14

McLarty, Dustin, Nadia Panossian, Faryar Jabbari, and Alberto Traverso. "Dynamic economic dispatch using complementary quadratic programming." Energy 166 (January 2019): 755–64. http://dx.doi.org/10.1016/j.energy.2018.10.087.

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15

Panigrahi, C. K., P. K. Chattopadhyay, R. N. Chakrabarti, and M. Basu. "Simulated Annealing Technique for Dynamic Economic Dispatch." Electric Power Components and Systems 34, no. 5 (2006): 577–86. http://dx.doi.org/10.1080/15325000500360843.

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16

Han, X. S., H. B. Gooi, and D. S. Kirschen. "Dynamic economic dispatch: feasible and optimal solutions." IEEE Transactions on Power Systems 16, no. 1 (2001): 22–28. http://dx.doi.org/10.1109/59.910777.

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17

Zaman, M. F., Saber M. Elsayed, Tapabrata Ray, and Ruhul A. Sarker. "Evolutionary Algorithms for Dynamic Economic Dispatch Problems." IEEE Transactions on Power Systems 31, no. 2 (2016): 1486–95. http://dx.doi.org/10.1109/tpwrs.2015.2428714.

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18

Basu, M. "Artificial immune system for dynamic economic dispatch." International Journal of Electrical Power & Energy Systems 33, no. 1 (2011): 131–36. http://dx.doi.org/10.1016/j.ijepes.2010.06.019.

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19

Saraswat, Gyandeep, Prateek K. Singhal, and Tarun Naruka. "REVIEW OF DYNAMIC ECONOMIC DISPATCH IN MICROGRID." Journal of Dynamics and Control 9, no. 4 (2025): 1–12. https://doi.org/10.71058/jodac.v9i4001.

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Microgrid provide a comprehensive strategic partnership with conventional methods to fulfil energy need globally. Microgrid provide energy need individually or with association with distributed energy resource such as solar, wind etc. energy supply mechanism should be economically beneficially for distributor and efficient. A Varity of cost optimization method available for reducing the generation cost for conventional as well as microgrid operation. Cost optimization techniques mainly classified with three sub categories such as conventional or traditional, artificial or computerized and hybr

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20

Tu, Chia-Sheng, Hsi-Shan Huang, Ming-Tang Tsai, and Fu-Sheng Cheng. "Bee colony optimization with Taguchi method for solving the dynamic economic dispatch." MATEC Web of Conferences 185 (2018): 00033. http://dx.doi.org/10.1051/matecconf/201818500033.

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Dynamic economic dispatch is to minimize the cost of power production of all the participating generators over a time horizon of 24 hours in one day. The dynamic economic dispatch with non-smooth cost functions, for which is formulated the optimal dispatch model of generations by considering the ramp up/down scheduling of power. This paper presents a Bee Colony Optimization (BCO) that applies the Taguchi Method (TM) to solve the Dynamic Economic Dispatch problem. The Taguchi method that involves the use of orthogonal arrays in estimating of the non-smooth cost function and Bee Colony Optimizat

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21

Bie, Pei, Zhong Kang Wei, Bu Han Zhang, et al. "Dynamic Economic Dispatch of Wind Power Incorporated System." Advanced Materials Research 953-954 (June 2014): 570–74. http://dx.doi.org/10.4028/www.scientific.net/amr.953-954.570.

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Wind energy source has been paid high attention to and developed into one of the most mature and largest-scale mode of new energy power generation. However, the uncertainty and fluctuation of wind power brings great challenge to the normal operation of power system. In this paper, the dynamic economic dispatch of wind power incorporated system is demonstrated. The accumulation variable method based on chance constraint programming is adopted to make the dynamic economic dispatch. The test example shows that the accumulation variable method based on chance constraint programming is suitable and

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22

PK Olulope, OM Amusan, and CE Okafor. "Application of Particle Swarm Optimization in Solving Economic Dispatch with Multiple Fuel Options." Global Journal of Engineering and Technology Advances 7, no. 3 (2021): 008–23. http://dx.doi.org/10.30574/gjeta.2021.7.3.0075.

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Minimizing electricity generation cost which includes fuel cost, emission cost, operation/maintenance cost and network loss cost of multiple operating units has been a major issue in the power sector. The economic dispatch has the objective of allocating different loads to the power generators in such a manner that the total fuel cost is minimized while all operating constraints are satisfied. Conventional optimization methods assume generator cost curves to be continuous and monotonically increasing, but modern generators have a variety of nonlinearities in their cost curves making this assum

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23

PK, Olulope, Amusan OM, and Okafor CE. "Application of Particle Swarm Optimization in Solving Economic Dispatch with Multiple Fuel Options." Global Journal of Engineering and Technology Advances 7, no. 3 (2021): 008–23. https://doi.org/10.5281/zenodo.5052007.

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Minimizing electricity generation cost which includes fuel cost, emission cost, operation/maintenance cost and network loss cost of multiple operating units has been a major issue in the power sector. The economic dispatch has the objective of allocating different loads to the power generators in such a manner that the total fuel cost is minimized while all operating constraints are satisfied. Conventional optimization methods assume generator cost curves to be continuous and monotonically increasing, but modern generators have a variety of nonlinearities in their cost curves making this assum

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24

Wang, Luyu, Houbo Xiong, Yunhui Shi, and Chuangxin Guo. "Rolling Horizon Robust Real-Time Economic Dispatch with Multi-Stage Dynamic Modeling." Mathematics 11, no. 11 (2023): 2557. http://dx.doi.org/10.3390/math11112557.

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A multi-stage robust real-time economic dispatch model (MRRTD) for power systems is proposed in this paper. The MRRTD takes the dynamic form of multi-stage robust optimization as the framework to naturally simulate the operation of equipment that is temporally coupled, e.g., utility-level energy storage systems. For normal systems, the MRRTD can work directly in short time slots with a rolling horizon. For large-scale systems, the MRRTD expands the time-slot scale and generates optimal dispatch policies. With this guidance, the real-time dispatch decision can be swiftly made thereafter. In add

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25

Rahmat, Nur Azzammudin, Ismail Musirin, and Ahmad Farid Abidin. "Solving Fuzzy Combined Economic Load–Emission Dispatch by Using Differential Evolution Immunized Ant Colony Optimization Technique." Applied Mechanics and Materials 785 (August 2015): 500–505. http://dx.doi.org/10.4028/www.scientific.net/amm.785.500.

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The fluctuating load demand with respect to time requires thorough analysis by the energy providers. Nowadays, the utilities need to include emission control during energy dispatch planning. The practically accurate economic dispatch solution is achieved by considering it as a dynamic or time-varying problem. Therefore, this research proposes Fuzzy Combined Economic Load-Emission Dispatch (Fz-CELED) to solve dynamic economic dispatch problem. Fuzzy Logic is used to predict the future load demand and fuel pricing. Moreover, this paper proposed the Differential Evolution Immunized Ant Colony Opt

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26

Li, Lingling, Jiarui Pei, and Qiang Shen. "A Review of Research on Dynamic and Static Economic Dispatching of Hybrid Wind–Thermal Power Microgrids." Energies 16, no. 10 (2023): 3985. http://dx.doi.org/10.3390/en16103985.

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As fossil energy is increasingly depleted, promoting the integration of renewable energy into the grid and improving its utilization rate has become an irresistible development trend in China’s power industry. However, the volatility of wind power increases the difficulty of economic dispatch in power systems. With the rising participation of wind power in the system, the complexity of traditional microgrid dynamic scheduling problems has increased, transforming into a dynamic economic scheduling problem for wind power thermal power hybrid microgrids. Starting from the concept and research sig

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27

Cheng, Tingli, Minyou Chen, Yingxiang Wang, et al. "Adaptive Robust Method for Dynamic Economic Emission Dispatch Incorporating Renewable Energy and Energy Storage." Complexity 2018 (June 26, 2018): 1–13. http://dx.doi.org/10.1155/2018/2517987.

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In association with the development of intermittent renewable energy generation (REG), dynamic multiobjective dispatch faces more challenges for power system operation due to significant REG uncertainty. To tackle the problems, a day-ahead, optimal dispatch problem incorporating energy storage (ES) is formulated and solved based on a robust multiobjective optimization method. In the proposed model, dynamic multistage ES and generator dispatch patterns are optimized to reduce the cost and emissions. Specifically, strong constraints of the charging/discharging behaviors of the ES in the space-ti

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28

Korunović, Lidija, and Teodora Denić. "Solving combined economic emission dispatch problem of power system including PV generation." E3S Web of Conferences 636 (2025): 04004. https://doi.org/10.1051/e3sconf/202563604004.

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This paper deals with dynamic combined economic emission dispatch problem of an electric power system consisting of thermal, hydro and photovoltaic (PV) power plants. Mathematical models of these plants as well as the model of dynamic combined economic-environmental nonlinear optimization problem are given. The proposed optimization model was implemented in publicly available GAMS software, and the result is the optimal load distribution among the plants during a one-day optimization period. The software is applied to the power system without PV power plants and with a number of new PV plants

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29

Basu, M. "Multi-objective Differential Evolution for Dynamic Economic Emission Dispatch." International Journal of Emerging Electric Power Systems 15, no. 2 (2014): 141–50. http://dx.doi.org/10.1515/ijeeps-2013-0060.

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Abstract Dynamic economic emission dispatch is an important optimization task in fossil fuel–based power plant operation for allocating generation among the committed units with predicted load demands over a certain period of time such that fuel cost and emission level are optimized simultaneously. It is a highly constrained dynamic multi-objective optimization problem involving conflicting objectives. This paper proposes multi-objective differential evolution for dynamic economic emission dispatch problem. Numerical results for a sample test system have been presented to demonstrate the perfo

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30

Zheng, Hong Feng. "An Improved Differential Evolution Algorithm for Dynamic Economic Dispatch of Power Systems." Applied Mechanics and Materials 84-85 (August 2011): 706–10. http://dx.doi.org/10.4028/www.scientific.net/amm.84-85.706.

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Differential Evolution (DE), a vector population based stochastic optimization method has been introduced to the public in 1995. During the last 25 years research on and with DE has reached an impressive state, yet there are still many open questions, In this paper ,An improved differential evolution (IDE) algorithm was presented for power system Dynamic economic dispatch(IDED), Dynamic economic dispatch (DED), an extension of the economic dispatch problem, is a method of scheduling the online generators with a predicted load demand over acertain period of time taking into account the various

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31

Sasikala, J. "Firefly Optimization Strategy for Dynamic Economic Load Dispatch." Journal of Computational and Theoretical Nanoscience 16, no. 4 (2019): 1612–16. http://dx.doi.org/10.1166/jctn.2019.8086.

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32

Tang, Wenyuan, and Rahul Jain. "Dynamic Economic Dispatch Game: The Value of Storage." IEEE Transactions on Smart Grid 7, no. 5 (2016): 2350–58. http://dx.doi.org/10.1109/tsg.2015.2495146.

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33

Yorino, Naoto, Habibuddin M. Hafiz, Yutaka Sasaki, and Yoshifumi Zoka. "High-Speed Real-Time Dynamic Economic Load Dispatch." IEEE Transactions on Power Systems 27, no. 2 (2012): 621–30. http://dx.doi.org/10.1109/tpwrs.2011.2169285.

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34

Lim, S. S., N. U. Ahmed, and K. F. Schenk. "Dynamic optical economic dispatch under system availability constraints." Electric Power Systems Research 9, no. 1 (1985): 11–27. http://dx.doi.org/10.1016/0378-7796(85)90051-3.

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35

Daniel, Leena, Krishna Teerath Chaturvedi, and Mohan Lal Kolhe. "Dynamic Economic Load Dispatch using Levenberg Marquardt Algorithm." Energy Procedia 144 (July 2018): 95–103. http://dx.doi.org/10.1016/j.egypro.2018.06.013.

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36

Xia, X., and A. M. Elaiw. "Optimal dynamic economic dispatch of generation: A review." Electric Power Systems Research 80, no. 8 (2010): 975–86. http://dx.doi.org/10.1016/j.epsr.2009.12.012.

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37

Hardiansyah, Hardiansyah. "Dynamic economic emission dispatch using ant lion optimization." Bulletin of Electrical Engineering and Informatics 9, no. 1 (2020): 12–20. http://dx.doi.org/10.11591/eei.v9i1.1664.

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This paper aims to propose a new meta-heuristic search algorithm, called Ant Lion Optimization (ALO). The ALO is a newly developed population-based search algorithm inspired hunting mechanism of ant lions. The proposed algorithm is presented to solve the dynamic economic emission dispatch (DEED) problem with considering the generator constraints such as ramp rate limits, valve-point effetcs, prohibited operating zones and transmission loss. The 5-unit generation system for a 24 h time interval has been taken to validate the efficiency of the proposed algorithm. Simulation results clearly show

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38

., K. Srikanth. "PARTICLE SWARM OPTIMIZATION TECHNIQUE FOR DYNAMIC ECONOMIC DISPATCH." International Journal of Research in Engineering and Technology 05, no. 05 (2016): 460–66. http://dx.doi.org/10.15623/ijret.2016.0505087.

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39

Jin, Jingliang, Dequn Zhou, Peng Zhou, Xiaojun Guo, and Zuoren Sun. "Modeling for Dynamic Economic Emission Dispatch Under Uncertainty." Electric Power Components and Systems 43, no. 14 (2015): 1630–43. http://dx.doi.org/10.1080/15325008.2015.1050613.

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40

Zhu, Zhijian, Jie Wang, and Mazhar H. Baloch. "Dynamic economic emission dispatch using modified NSGA-II." International Transactions on Electrical Energy Systems 26, no. 12 (2016): 2684–98. http://dx.doi.org/10.1002/etep.2228.

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41

Hardiansyah, Hardiansyah. "Dynamic economic emission dispatch using ant lion optimization." Bulletin of Electrical Engineering and Informatics 9, no. 1 (2020): 12–20. https://doi.org/10.11591/eei.v9i1.1664.

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This paper aims to propose a new meta-heuristic search algorithm, called Ant Lion Optimization (ALO). The ALO is a newly developed population-based search algorithm inspired hunting mechanism of ant lions. The proposed algorithm is presented to solve the dynamic economic emission dispatch (DEED) problem with considering the generator constraints such as ramp rate limits, valve-point effects, prohibited operating zones and transmission loss. The 5-unit generation system for a 24 h time interval has been taken to validate the efficiency of the proposed algorithm. Simulation results clearly show

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42

Aragón, Victoria, Carlos A. Coello Coello, and Mario A. Leguizamón. "A T-cell algorithm for solving dynamic economic power dispatch problems." Journal of Computer Science and Technology 20, no. 1 (2020): e01. http://dx.doi.org/10.24215/16666038.20.e01.

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This paper presents the artificial immune system IA_DED (Immune Algorithm Dynamic Economic Dispatch) to solve the Dynamic Economic Dispatch (DED) problem and the Dynamic Economic Emission Dispatch (DEED) problem. Our approach considers these as dynamic problems whose constraints change over time.  IA\DED is inspired on the activation process that T cells suffer in order to find partial solutions. The proposed approach is validated using several DED problems taken from specialized literature and  one DEED problem. The latter is addressed by transforming a multi-obj

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43

V.P., Sakthivel. "NEW PARTICLE SWARM OPTIMIZER WITH NATURE INSPIRED DYNAMIC INERTIA WEIGHT FOR ECONOMIC POWER DISPATCH." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 2 (2019): 104–11. https://doi.org/10.5281/zenodo.2653662.

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This paper presents a new particle swarm optimization based on nature inspired dynamic inertia weight (PSO-NIDIW) for solving economic power dispatch problems. NIDIW which mimics the social behavior of humans is proposed to cogently balance the global exploration and local exploitation abilities for PSO. In each iteration during the run, each particle can select appropriate weight according to its situation. The performance of the PSO algorithm is improved by this fine strategy of naturally adjusting dynamic inertia weight. The economic load dispatch (ELD) is formulated as a nonlinear constrai

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Othman, Muhammad Murtadha, Mohd Affendi Ismail Salim, Ismail Musirin, Nur Ashida Salim, and Mohammad Lutfi Othman. "Dynamic Economic Dispatch Assessment Using Particle Swarm Optimization Technique." Bulletin of Electrical Engineering and Informatics 7, no. 3 (2018): 458–64. https://doi.org/10.11591/eei.v7i3.1278.

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This paper presents the application of Particle Swarm Optimization (PSO) technique for solving the Dynamic Economic Dispatch (DED) problem. The DED is one of the main functions in power system planning in order to obtain optimum power system operation and control. It determines the optimal operation of generating units at every predicted load demands over a certain period of time. The optimum operation of generating units is obtained by referring to the minimum total generation cost while the system is operating within its limits. The DED based PSO technique is tested on a 9- bus system contai

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45

Tambun, Laura Agnes, Ismi Rosyiana Fitri, I. Made Ardita, and Chairul Hudaya. "Optimisasi Integrasi Economic Dispatch dan Dynamic Automatic Generation Control." Jurnal Teknologi 12, no. 1 (2024): 41–52. https://doi.org/10.31479/jtek.v12i1.352.

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Abstrak Dengan penetrasi Energi Terbarukan (ET) yang besar dalam era transisi energi, ada potensi tantangan teknis terkait frekuensi sistem kelistrikan. Oleh karena itu, diperlukan mekanisme kontrol yang dapat memastikan bahwa frekuensi sistem tetap berada dalam batas operasional yang aman. Terkait hal tersebut dibutuhkan model hierarkis ED-AGC guna menjaga performa kerja sistem dengan tetap mempertahankan sisi ekonomis dari operasi sistem. Economic Dispatch (ED) digunakan untuk meminimalkan biaya pembangkitan dan cadangan sistem, sedangkan Automatic Generation Control (AGC) untuk menjaga frek

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46

Ru, Yi, Ying Wang, Weijun Mao, Di Zheng, and Wenqian Fang. "Dynamic Environmental Economic Dispatch Considering the Uncertainty and Correlation of Photovoltaic–Wind Joint Power." Energies 17, no. 24 (2024): 6247. https://doi.org/10.3390/en17246247.

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The traditional power grid planning lacks consideration of the uncertainty and correlation between wind and solar joint output in the same region, which poses challenges to the stable operation of the power system. Therefore, it is greatly important to consider the environmental and economic dispatch in light of the uncertainties and correlations associated with wind and solar energy. To tackle these issues, this paper introduces a dynamic environmental economic dispatch model that accounts for the uncertainties and correlations between wind and photovoltaic power based on their output charact

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Zhang, Xiao Hui, and Zhi Gang Lu. "Research and Evaluation on Environmental Economic Dispatch Including Wind Farm Based on Relative Entropy Balance." Advanced Materials Research 383-390 (November 2011): 3621–27. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.3621.

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Abstract:

This paper analyzes the factors on dynamic economic dispatch including wind farms. Environmental economic dispatch model including wind farms is proposed. Considering the thermal power generation cost, thermal power polluting emissions and low cost of wind power generation, the objective function is to minimize the total cost in system. Environmental economic dispatch including wind farm is studied with chaotic ant colony optimization algorithm which has advantage of strength searching capability and fast optimizing. Meanwhile, the application of the relative entropy balance theory is on evalu

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48

Basu, M. "Fuel constrained dynamic economic dispatch with demand side management." Energy 223 (May 2021): 120068. http://dx.doi.org/10.1016/j.energy.2021.120068.

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Goubko, Mikhail V., and Nikita I. Shushko. "Approximate Dynamic Programming Decompositions for Economic Dispatch in Microgrids." IFAC-PapersOnLine 55, no. 9 (2022): 262–67. http://dx.doi.org/10.1016/j.ifacol.2022.07.046.

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50

Wang, Xuefeng, and Bin Zou. "Distributed Microgrid Model and Its Dynamic Economic Dispatch Algorithm." International Journal of Automation and Power Engineering 5 (2016): 49. http://dx.doi.org/10.14355/ijape.2016.05.005.

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