scholarly journals A review of optimization techniques applied to solve unit commitment problem in microgrid

2019 ◽  
Vol 15 (3) ◽  
pp. 1161
Author(s):  
Karthik N ◽  
A K Parvathy ◽  
Arul Rajagopalan ◽  
S Baskar
Keyword(s):  
Literature Review ◽  
Optimization Problem ◽  
Time Perspective ◽  
Unit Commitment ◽  
Optimization Techniques ◽  
Energy Sources ◽  
Power Demand ◽  
Unit Commitment Problem ◽  
Ecological Constraints ◽  
Commitment Problem

<p>Unit Commitment (UC) is an optimization problem used to find out the least cost dispatch of obtainable generation resources to meet up an expected electric power demand over a certain time perspective under generational, technical and ecological constraints. In the midst of the momentous increase of non-conventional energy sources incorporation into the power system networks, effects caused by these system alterations to the UC are dynamically being studied and examined by worldwide researchers. This paper presents a literature review of application of several optimization algorithms to elucidate the UC problem in microgrids. Lastly a few basic challenges arising from the new optimization approaches in microgrids are addressed.</p>

scholarly journals An Improved DA-PSO Optimization Approach for Unit Commitment Problem

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2335 ◽  
Author(s):  
Sirote Khunkitti ◽  
Neville R. Watson ◽  
Rongrit Chatthaworn ◽  
Suttichai Premrudeepreechacharn ◽  
Apirat Siritaratiwat
Keyword(s):  
Optimization Problem ◽  
Unit Commitment ◽  
Economic Dispatch ◽  
Optimization Techniques ◽  
Mixed Integer ◽  
Optimization Approach ◽  
Sigmoid Function ◽  
Unit Commitment Problem ◽  
Commitment Problem ◽  
Metaheuristic Techniques

Solving the Unit Commitment problem is an important step in optimally dispatching the available generation and involves two stages—deciding which generators to commit, and then deciding their power output (economic dispatch). The Unit Commitment problem is a mixed-integer combinational optimization problem that traditional optimization techniques struggle to solve, and metaheuristic techniques are better suited. Dragonfly algorithm (DA) and particle swarm optimization (PSO) are two such metaheuristic techniques, and recently a hybrid (DA-PSO), to make use of the best features of both, has been proposed. The original DA-PSO optimization is unable to solve the Unit Commitment problem because this is a mixed-integer optimization problem. However, this paper proposes a new and improved DA-PSO optimization (referred to as iDA-PSO) for solving the unit commitment and economic dispatch problems. The iDA-PSO employs a sigmoid function to find the optimal on/off status of units, which is the mixed-integer part of obtaining the Unit Commitment problem. To verify the effectiveness of the iDA-PSO approach, it was tested on four different-sized systems (5-unit, 6-unit, 10-unit, and 26-unit systems). The unit commitment, generation schedule, total generation cost, and time were compared with those obtained by other algorithms in the literature. The simulation results show iDA-PSO is a promising technique and is superior to many other algorithms in the literature.

scholarly journals A New Solution to Profit Based Unit Commitment Problem Considering PEVs/BEVs and Renewable Energy Sources

2020 ◽  
Vol 184 ◽  
pp. 01070
Author(s):  
Ayani Nandi ◽  
Vikram Kumar Kamboj
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Production Cost ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Unit Commitment Problem ◽  
Load Demand ◽  
Commitment Problem ◽  
The Impact

Daily load demand for industrial, residential and commercial sectors are changing day by day. Also, inclusion of e-mobility has totally effected the operations of realistic power sector. Hence, to meet this time varying load demand with minimum production cost is very challenging. The proposed research work focuses on the mathematical formulation of profit based unit commitment problem of realistic power system considering the impact of battery electric vehicles, hybrid electric vehicles and plug in electric vehicles and its solution using Intensify Harris Hawks Optimizer (IHHO). The coordination of plants with each other is named as Unit commitment of plants in which the most economical patterns of the generating station is taken so as to gain low production cost with higher reliability. But with the increase in industrialization has affected the environment badly so to maintain the balance between the generation and environment a new thinking of generating low cost power with high reliability by causing less harm to environment i.e. less emission of flue gases is adopted by considering renewable energy sources.

scholarly journals An Solution for Unit Commitment Problem of Wind and PV based Smart Grid using BAT Algorithm

2020 ◽  
Vol 9 (4) ◽  
pp. 120-124
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Bat Algorithm ◽  
Energy Sources ◽  
Technological Advancement ◽  
Unit Commitment Problem ◽  
Commitment Problem ◽  
Hybrid Renewable Energy

With the technological advancement, renewable energy sources are becoming more integrated to grid. With the smart grid technologies, the renewable energy sources will penetrate more into the grid. With increase of penetration of these renewable sources, will affect the unit commitment process. This paper concentrate the inducing Hybrid renewable energy sources in the smart grid. Unit commitment problem of Hybrid renewable energy sources into a smart grid is discussed in this paper . The IEEE reliable 24 bus system is considered to test the proposed unit commitment problem using bat algorithm. The paper shows the reduction of production cost when the penetration of wind power into the power system.

A Priority List-Based Binary Crow Search Algorithm for Unit Commitment Problem

2021 ◽  
Vol 57 ◽  
pp. 211-224
Author(s):  
Adel A. Abou El Ela ◽  
Ragab El-Sehiemy ◽  
Abdullah M. Shaheen ◽  
Ayman S. Shalaby
Keyword(s):  
Unit Commitment ◽  
Search Algorithm ◽  
Optimal Schedule ◽  
Test System ◽  
Optimization Techniques ◽  
Hybrid Technique ◽  
Unit Commitment Problem ◽  
Priority List ◽  
Good Convergence ◽  
Commitment Problem

Abstract-This paper proposes a novel hybrid technique that combines the priority list (PL) with the binary crow search algorithm (BCSA) for solving the unit commitment problem (UCP). Firstly, the PL method aims to sort the generating units in ascending order according to their average full load costs which are the total costs that are computed at the maximum generation outputs. Secondly, the BCSA is developed and employed to search for the optimal schedule of the generating units to face the next hourly demand with minimum total operating costs that are related to the optimal power generation schedule at certain loading level. BCSA is a new meta-heuristic optimizer, which is featured of the crow's intelligence. It has only two adjustable parameters that make its implementation very simple and easy compared to other optimization techniques. Its effectiveness and feasibility were confirmed by 4, 10, and 26-unit systems and the results are compared with those obtained by GA, PSO, APSO, and BDE. The simulation results demonstrate the capability of the proposed PLBCSA in solving the UC problem with good convergence rate compared with the previous methods in the literature. Around of 2-4% reduction in the total costs is achieved using the proposed PLBCSA for the 26-unit test system compared with GA, PSO and the implemented PL-BPSO solutions.

scholarly journals A Hybrid Optimization Algorithm for Solving of the Unit Commitment Problem Considering Uncertainty of the Load Demand

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8014
Author(s):  
Aml Sayed ◽  
Mohamed Ebeed ◽  
Ziad M. Ali ◽  
Adel Bedair Abdel-Rahman ◽  
Mahrous Ahmed ◽  
...  
Keyword(s):  
Unit Commitment ◽  
Cost Savings ◽  
Test System ◽  
Optimization Techniques ◽  
Mixed Integer ◽  
Hybrid Technique ◽  
Unit Commitment Problem ◽  
Unit System ◽  
Load Demand ◽  
Commitment Problem

Unit commitment problem (UCP) is classified as a mixed-integer, large combinatorial, high-dimensional and nonlinear optimization problem. This paper suggests solving the UCP under deterministic and stochastic load demand using a hybrid technique that includes the modified particle swarm optimization (MPSO) along with equilibrium optimizer (EO), termed as MPSO-EO. The proposed approach is tested firstly on 15 benchmark test functions, and then it is implemented to solve the UCP under two test systems. The results are basically compared to that of standard EO and previously applied optimization techniques in solving the UCP. In test system 1, the load demand is deterministic. The proposed technique is in the best three solutions for the 10-unit system with cost savings of 309.95 USD over standard EO and for the 20-unit system it shows the best results over all algorithms in comparison with cost savings of 1951.5 USD over standard EO. In test system 2, the load demand is considered stochastic, and only the 10-unit system is studied. The proposed technique outperforms the standard EO with cost savings of 40.93 USD. The simulation results demonstrate that MPSO-EO has fairly good performance for solving the UCP with significant total operating cost savings compared to standard EO compared with other reported techniques.

scholarly journals Scope of Intelligence Approcahes for Unit Commitment Under Uncertain Sustainable Energy Environment For Effective Vehicle To Grid Operations-A Comprehensive Review

2020 ◽  
Vol 184 ◽  
pp. 01034
Author(s):  
Dinesh Dhawale ◽  
Vikram Kumar Kamboj
Keyword(s):  
Electric Vehicles ◽  
Unit Commitment ◽  
Sustainable Energy ◽  
Optimization Techniques ◽  
The Other ◽  
Power Demand ◽  
Unit Commitment Problem ◽  
Vehicle To Grid ◽  
The Impact ◽  
Selection Of

Electric vehicles are getting popularity as these are eco-friendly and could be a part of power sector in the future. Electric Vehicles are the smart hybrid vehicles, which stores electric power during their operation, which could be stored in storage cells. These electric vehicles may be plug-in electric vehicles or battery operated electric vehicles. The concept of aggregators may be utilized, wherein the stored energy in vehicles could be supplied to grid during parking hours .This also facilitate the consumers to sale power during the high power demand and purchase power during low power demand. Thus, a bi-directional flow of power could be possible either from vehicle to grid or vice-versa. A large penetration of electric vehicles could result in increase in power demand which could be compensated by proper coordinated unit commitment and optimization techniques. The increasing load on grid by the impact of demand and trends in small generating units which require proper selection of number of generating units to put in line and other units in off condition calls for the concept of unit commitment. It is the selection of more efficient units to be in service and shutting down the other unit while maintaining all the other constraint constant. This would result in effective power flow in an economic manner, simultaneously maintaining the adequacy and reliability of the system. The proposed research represents the scope of intelligence algorithm for unit commitment problem with effective solution of vehicle to grid operations along with sustainable energy for realistic power system.

scholarly journals Unit Commitment Problem in Electrical Power System: A Literature Review

2018 ◽  
Vol 8 (3) ◽  
pp. 1357 ◽  
Author(s):  
Idriss Abdou ◽  
Mohamed Tkiouat
Keyword(s):  
Literature Review ◽  
Power System ◽  
Unit Commitment ◽  
Electrical Power ◽  
Mathematical Formulation ◽  
Electric Power System ◽  
Electrical Power System ◽  
Unit Commitment Problem ◽  
Commitment Problem ◽  
Operational Constraints

Unit commitment (UC) is a popular problem in electric power system that aims at minimizing the total cost of power generation in a specific period, by defining an adequate scheduling of the generating units. The UC solution must respect many operational constraints. In the past half century, there was several researches treated the UC problem. Many works have proposed new formulations to the UC problem, others have offered several methodologies and techniques to solve the problem. This paper gives a literature review of UC problem, its mathematical formulation, methods for solving it and Different approaches developed for addressing renewable energy effects and uncertainties.

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