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Roy, Ranjit
- Reliability constrained unit commitment problem incorporating demand response program
Abstract Views :198 |
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Authors
Affiliations
1 Department of Electrical Engineering, S. V. National Institute of Technology, Surat- 395007, Gujarat, IN
1 Department of Electrical Engineering, S. V. National Institute of Technology, Surat- 395007, Gujarat, IN
Source
Power Research, Vol 10, No 3 (2014), Pagination: 465-480Abstract
In a restructured power market, the independent system operator (ISO) executes the reliability constrained unit commitment (RCUC) program to plan a reliable and an economical hourly generation schedule for the day-ahead market. This work presents probabilistic method for the incorporation of the unavailability of the generating units in the solution of the Unit commitment (UC) problem. In this paper, Gbest Artificial Bee Colony (GABC) algorithm is used for solving the UC problem, while the evaluation of the required spinning reserve capacity is performed by using Loss of Load Probability (LOLP) index. IEEE RTS 24 bus system is used to demonstrate RCUC problem for different reliability levels. Considerable developments in the real time telemetry of demand-side systems allow ISO to use reserves provided by demand response programs (DRPs) in a restructured power market. In this paper, the hourly demand response is incorporated into RCUC for economic and reliability purposes. The RCUC problem with Emergency Demand Response Program (EDRP) is tested on IEEE RTS 24 bus system. Minimum cost results for each case and reduction in load demands for DRPs are formulated.Keywords
Reliability constrained unit commitment, demand response programs, gbest artificial bee colony algorithm.- Optimal placement and sizing of PV system and fuel cell on distribution system for loss minimization
Abstract Views :180 |
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Authors
Affiliations
1 Department of Electrical Engineering, S.V. National Institute of Technology, Surat- 395007, Gujarat, IN
1 Department of Electrical Engineering, S.V. National Institute of Technology, Surat- 395007, Gujarat, IN
Source
Power Research, Vol 10, No 3 (2014), Pagination: 559-572Abstract
In current scenario optimal placement and sizing of distributed generation (DG) on the distribution system is drawing attention of electrical power utilities for minimization of real power loss. Power loss minimization has some in built advantages i.e. power flow reduction in feeder lines, reduces stress on feeder loading therefore increases reliability of the utility, fulfilled the load demand during peak load period and reduction in consumer bill, etc. In this paper particle swarm optimization with constriction factor approach (PSOCFA) for optimal placement and sizing of DGs (such as solar and fuel cell based), heuristic approach is applied for reconfiguration of distribution system with the purpose to minimize the total real power loss subjected to equality and inequality constraints in the distribution system is presented. The results obtained after placement of Photovoltaic (PV) system, Fuel cell (FC) and combination of both are shown by using PSOCFA algorithm applied on IEEE 33–bus radial distribution system. It shows significant reduction in power loss with the improvement in voltage profile and voltage stability index (VSI).Keywords
Distributed generation, particle swarm optimization with constriction factor approach, Photovoltaic system, fuel cell.- Impact of Demand Response on Unit Commitment in Microgrid Environment
Abstract Views :179 |
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Authors
Affiliations
1 Department of Electrical Engineering, S. V. National Institute of Technology, Surat-395007, Gujarat, IN
1 Department of Electrical Engineering, S. V. National Institute of Technology, Surat-395007, Gujarat, IN
Source
Power Research, Vol 10, No 1 (2014), Pagination: 87-100Abstract
Demand response program (DRP) aims to reshape an inconsistent load demand and motivates the customers to reduce their energy consumption to get financial benefit. In this paper demand response based unit commitment (DRUC) model is used to study the impact of DRP on generation scheduling and total cost of the system. DRUC model describes the customer behavior for different incentive values and variation in the price elasticity matrix. The simulation study is carried out with a low voltage microgrid system with and without integration of solar and wind renewable sources (RS). It is found from the results that with the increase in incentive value and price elasticity matrix elements, customers tend to participate more in DRP which increases customer benefits and reduces total utility cost. It is also observed that integration of RS significantly reduces the total cost of the system.Keywords
Demand response program (DRP), Microgrid (MG), Unit commitment (UC), Price elasticity matrix (PEM), Renewable sources (RS).- Reliable Control Strategy related to Hybrid Eenergy System for On-Grid Electrifi cation of Villages in Weak-Grid Environment
Abstract Views :190 |
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Authors
Affiliations
1 Manager, Essar Steel India Ltd., Surat Hazira Road, Hazira – 394270, Gujarat, IN
2 Department of Electrical Engineering, SVNIT, Surat, Gujarat - 395007, IN
1 Manager, Essar Steel India Ltd., Surat Hazira Road, Hazira – 394270, Gujarat, IN
2 Department of Electrical Engineering, SVNIT, Surat, Gujarat - 395007, IN
Source
Power Research, Vol 9, No 1 (2013), Pagination: 9–18Abstract
Method for on-grid electrifi cation of villages. An improved control strategy is incorporated which enable the system to switch on in to grid and whenever required it can be set back to a micro grid. The studies are simulated in time-domain discrete mode using MATLABTM/SimulinkTM. Wind-fuel cell based hybrid energy system is tested with all possible control parameters and it is observed that the proposed control strategy is working satisfactorily.Keywords
Control Strategy, Weak Grid, Distributed Energy Sources And Village Electrification- DG Placement in Radial Distribution Network with Reconfi guration
Abstract Views :187 |
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Authors
Tejas Vyas
1,
Ranjit Roy
2
Affiliations
1 Manager, Essar Steel India Ltd., Surat Hazira Road, Hazira – 394270, Gujarat, IN
2 Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat-395007, IN
1 Manager, Essar Steel India Ltd., Surat Hazira Road, Hazira – 394270, Gujarat, IN
2 Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat-395007, IN
Source
Power Research, Vol 8, No 3 (2012), Pagination: 123–134Abstract
This paper presents a simple method for fi nding the optimal DG size and optimal DG location in distribution network. By using this method, optimal DG capacity and location are determined considering without network reconfi guration and with network reconfi guration. The method is tested with three test cases: 33-node, 69-node and 117-node IEEE standard network. Result shows that the proposed method is very effi cient and competitive with the existing methods available in the literature.Keywords
Optimal istributed generator (DG), Distribution network reconfi guration, Loss minimization by reconfi guration, Reconfi guration algorithm, 117-bus network- Load Flow Study of a Radial Distribution Network
Abstract Views :181 |
PDF Views:0
Authors
Tejas Vyas
1,
Ranjit Roy
2
Affiliations
1 Manager, Essar Steel India Ltd, 27th km, Surat Hazira Road, Hazira - 394270, Gujarat, IN
2 Associate Prof., Department of Electrical Engineering, SVNIT, Surat - 395007, Gujarat, IN
1 Manager, Essar Steel India Ltd, 27th km, Surat Hazira Road, Hazira - 394270, Gujarat, IN
2 Associate Prof., Department of Electrical Engineering, SVNIT, Surat - 395007, Gujarat, IN
Source
Power Research, Vol 7, No 1 (2011), Pagination: 101-114Abstract
The paper presents the simple method for finding the load flow solution of a radial distribution network using the Kirchoff's current and Kirchoff's voltage law. The method is tested on four test cases: 16-node, 33-node, 69-node and 117-node network. Comparing to the existing methods, the memory space requirement is very small and time required for the CPU execution is also lower. Result shows that the proposed method is very efficient and competitive with the existing methods.- Wind-Fuel Cell Base Hybrid Energy System for On-Grid Electrifi cation of Villages
Abstract Views :200 |
PDF Views:0
Authors
Affiliations
1 Essar Oil Ltd., Refi nery Site, 39 KM, Jamnagar-Okha Highway, Vadinar, Gujarat - 361305, IN
2 Associate Prof., Department of Electrical Engineering, SVNIT, Surat, Gujarat-395007, IN
1 Essar Oil Ltd., Refi nery Site, 39 KM, Jamnagar-Okha Highway, Vadinar, Gujarat - 361305, IN
2 Associate Prof., Department of Electrical Engineering, SVNIT, Surat, Gujarat-395007, IN
Source
Power Research, Vol 8, No 4 (2012), Pagination: 277–288Abstract
This paper introduces method for on-grid electrifi cation of villages. A potential function for each component like wind turbine, fuel cell, voltage regulator unit, control box, DC coupling device and DC blocking device is used in this work. Secondary voltage control is achieved through voltage regulator unit. The studies are simulated in time-domain continuous mode using MATLAB/Simulink. Wind-fuel cell based hybrid energy system is tested with various wind speed. It is observed that the proposed system is working satisfactorily.Keywords
On-grid electrification, MATLAB/Simulink, Wind-fuel cell based hybrid energy system, Distributed energy resource (DER) units and Micro grid operation.- Comparative Performance Analysis of Variants of Particle Swarm Optimization of Optimal Reactive Power Dispatch
Abstract Views :243 |
PDF Views:0
Authors
Affiliations
1 Dr Sudhir Chandra Sur Degree Engineering College, Kolkata – 700074, West Bengal, IN
2 Power Engineering Department, Jadavpur University, Kolkata – 700098, IN
1 Dr Sudhir Chandra Sur Degree Engineering College, Kolkata – 700074, West Bengal, IN
2 Power Engineering Department, Jadavpur University, Kolkata – 700098, IN
Source
Power Research, Vol 15, No 1 (2019), Pagination: 16-24Abstract
The Optimal Reactive Power Dispatch (ORPD) is non-linear problem and is a very effective tool in modern power system for designing a more secure and economic system. It has control variables, which are a combination of continuous and discrete and helps in obtaining the most optimized result satisfying all the equality and inequality constraints. The results obtained not only reduces the real power losses of the system but also helps in restricting the voltage deviation to a much greater extent and thus maintaining the stability of the entire system. In this paper, the ORPD problem is solved as a single objective problem with two different objectives like minimization of real power loss and minimization of voltage deviation. Here, four different variants of PSO are used to solve the problem and the results are compared. The algorithms considered in this paper are tested on IEEE 30 bus and IEEE 57 bus system.Keywords
ORPD, Particle Swarm Optimization, PSO Variants, Real Power Loss, Single Objective, Voltage Deviation.References
- Wu QH, Cao YJ, Wen JY. Optimal reactive power dispatch using an adaptive genetic algorithm. International Journal of Electrical Power and Energy Systems. 1998; 20(8):563–9. https://doi.org/10.1016/S0142-0615(98)00016-7
- Huang CM, Huang YC. Combined differential evolution algorithm and ant system for optimal reactive power dispatch. Energy Procedia. 2012; 14:1238–43. https://doi.org/10.1016/j.egypro.2011.12.1082
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- Optimal Single Point Injection of PV based DG Maximizing Technical, Social and Environmental Benefits in Radial Distribution Systems using JAYA Algorithm
Abstract Views :230 |
PDF Views:0
Authors
Affiliations
1 Dr Sudhir Chandra Sur Degree Engineering College, Kolkata – 700074, West Bengal, IN
2 Power Engineering Department, Jadavpur University, Salt Lake Campus, Kolkata – 700098, IN
1 Dr Sudhir Chandra Sur Degree Engineering College, Kolkata – 700074, West Bengal, IN
2 Power Engineering Department, Jadavpur University, Salt Lake Campus, Kolkata – 700098, IN
Source
Power Research, Vol 15, No 1 (2019), Pagination: 39-45Abstract
Power crisis is becoming a major challenge in modern day world due to ever increasing load demand leading to fast depletion of energy resources. As the number of loads connected to the distribution network increase, maintaining the voltage profile of the distribution network is becoming increasingly difficult for the network operator. The pollutants from a fossil fuel based power plant have adverse effects on the environment. This paper presents a comprehensive study on the technical, economic and environmental impacts on single point optimal allocation of DG on a radial distribution network. The test systems considered are standard IEEE 33 bus, 69 bus and 85 bus test systems.Keywords
Benefit Cost Ratio (BCR), Distribution Network, Emission Cost Benefit Index (ECBI), Renewable Energy, Voltage Profile Enhancement Index (VPEI), Voltage Stability Index (VSI).References
- Alam, Muttaqi, Bouzerdoum. Characterization of voltage dips and swells in a DG embedded distribution network during and subsequent to islanding process and grid re-connection. IEEE Industry Applications Society Annual Meeting. 2017; Oct 1–5. https://doi.org/10.1109/IAS.2017.8101864
- Anilkumar, Devriese, Srivastava. Voltage and reactive power control to maximize the energy savings in power distribution system with wind energy. IEEE Transactions on Industry Applications. 2018 Jan–Feb, 54(1):656–64. https://doi.org/10.1109/TIA.2017.2740850
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- Ettehadi, Ghasemi, Vaez-Zadeh. Voltage stability-based DG placement in distribution networks. IEEE Transactions on Power Delivery. 2013 Jan; 28(1):171–8. https://doi.org/10.1109/TPWRD.2012.2214241
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- Gandomkar M, Vakilian M, Ehsan M. A genetic-based Tabu Search Algorithm for Optimal DG Allocation in distribution networks. Electric Power Components and Systems. 2007 Feb; 33(12):1351–62. https://doi.org/10.1080/15325000590964254
- Kansal, Kumar, Tyagi. Optimal placement of different type of DG sources in distribution networks. Electrical Power and Energy Systems. 2013 May; 53:752–60. https://doi.org/10.1016/j.ijepes.2013.05.040
- Hedayati, Nabaviniaki, Akbarimajd. A method for placement of DG units in distribution networks. IEEE Transactions on Power Delivery. 2008 Jul; 23(3):1620–8. https://doi.org/10.1109/TPWRD.2007.916106
- Iqbal, Khan, Siddiqui. Optimal placement of DG and DSTATCOM for loss reduction and voltage profile improvement. Alexandria Engineering Journal. 2018 Jun; 57(2):755–65. https://doi.org/10.1016/j.aej.2017.03.002
- Singh, Mishra. A survey on enhancement of power system performances by optimally placed DG in distribution networks. Energy Reports. 2018; 4:129–58. https://doi.org/10.1016/j.egyr.2018.01.004
- Yuvaraj, Ravi. Multi-objective simultaneous DG and DSTATCOM allocation in radial distribution networks using cuckoo searching algorithm. Alexandria Engineering Journal. 2018 Dec; 57(4):2729–42. https://doi.org/10.1016/j.aej.2018.01.001
- Ghatak, Sannigrahi, Acharjee. Comparative performance analysis of DG and DSTATCOM using improved PSO based on success rate for deregulated environment. IEEE Systems Journal. 2018 Sep; 12(3):2791–802. https://doi.org/10.1109/JSYST.2017.2691759
- Rao RV. Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems. International Journal of Industrial Engineering Computations. 2016; 7:19–34. https://doi.org/10.5267/j.ijiec.2015.8.004