Informatics Publishing Limited

Manisha Govardhan ¹, Fenil Master ¹, Ranjit Roy ¹

Affiliations
1 Department of Electrical Engineering, S. V. National Institute of Technology, Surat- 395007, Gujarat, IN

Abstract

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.

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Vijay Gupta ¹, Mukul Dixit ¹, Ranjit Roy ¹

Affiliations
1 Department of Electrical Engineering, S.V. National Institute of Technology, Surat- 395007, Gujarat, IN

Abstract

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.

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Manisha Govardhan ¹, Ranjit Roy ¹

Affiliations
1 Department of Electrical Engineering, S. V. National Institute of Technology, Surat-395007, Gujarat, IN

Abstract

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).

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Prashant Pandya ¹, Ranjit Roy ²

Affiliations
1 Manager, Essar Steel India Ltd., Surat Hazira Road, Hazira – 394270, Gujarat, IN
2 Department of Electrical Engineering, SVNIT, Surat, Gujarat - 395007, IN

Abstract

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

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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

Abstract

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

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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

Abstract

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.

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Prashantkumar Pandya ¹, Ranjit Roy ²

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

Abstract

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.

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Tanmay Das ¹, Ranjit Roy ¹, Kamal Krishna Mandal ²

Affiliations
1 Dr Sudhir Chandra Sur Degree Engineering College, Kolkata – 700074, West Bengal, IN
2 Power Engineering Department, Jadavpur University, Kolkata – 700098, IN

Abstract

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.

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Anirban Chowdhury ¹, Ranjit Roy ¹, Kamal Krishna Mandal ²

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

Abstract

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).

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