Stability Analysis and Effect of CES on ANN Based AGC for Frequency Excursion

Raja, J.,Rajan, C.Christober Asir The Korean Institute of Electrical Engineers 2010 Journal of Electrical Engineering & Technology Vol.5 No.4

This paper presents an application of layered Artificial Neural Network controller to study load frequency control problem in power system. The objective of control scheme guarantees that steady state error of frequencies and inadvertent interchange of tie-lines are maintained in a given tolerance limitation. The proposed controller has been designed for a two-area interconnected power system. Only one artificial neural network controller (ANN), which controls the inputs of each area in the power system together, is considered. In this study, back propagation-through time algorithm is used as neural network learning rule. The performance of the power system is simulated by using conventional integral controller and ANN controller, separately. For the first time comparative study has been carried out between SMES and CES unit, all of the areas are included with SMES and CES unit separately. By comparing the results for both cases, the performance of ANN controller with CES unit is found to be better than conventional controllers with SMES, CES and ANN with SMES.

Stability Analysis and Effect of CES on ANN Based AGC for Frequency Excursion

J.Raja,C.Christober Asir Rajan 대한전기학회 2010 Journal of Electrical Engineering & Technology Vol.5 No.4

This paper presents an application of layered Artificial Neural Network controller to study load frequency control problem in power system. The objective of control scheme guarantees that steady state error of frequencies and inadvertent interchange of tie-lines are maintained in a given tolerance limitation. The proposed controller has been designed for a two-area interconnected power system. Only one artificial neural network controller (ANN), which controls the inputs of each area in the power system together, is considered. In this study, back propagation-through time algorithm is used as neural network learning rule. The performance of the power system is simulated by using conventional integral controller and ANN controller, separately. For the first time comparative study has been carried out between SMES and CES unit, all of the areas are included with SMES and CES unit separately. By comparing the results for both cases, the performance of ANN controller with CES unit is found to be better than conventional controllers with SMES, CES and ANN with SMES.

EP Based PSO Method for Solving Multi Area Unit Commitment Problem with Import and Export Constraints

Venkatesan, K.,Selvakumar, G.,Rajan, C. Christober Asir The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.2

This paper presents a new approach to solve the multi area unit commitment problem (MAUCP) using an evolutionary programming based particle swarm optimization (EPPSO) method. The objective of this paper is to determine the optimal or near optimal commitment schedule for generating units located in multiple areas that are interconnected via tie lines. The evolutionary programming based particle swarm optimization method is used to solve multi area unit commitment problem, allocated generation for each area and find the operating cost of generation for each hour. Joint operation of generation resources can result in significant operational cost savings. Power transfer between the areas through the tie lines depends upon the operating cost of generation at each hour and tie line transfer limits. Case study of four areas with different load pattern each containing 7 units (NTPS) and 26 units connected via tie lines have been taken for analysis. Numerical results showed comparing the operating cost using evolutionary programming-based particle swarm optimization method with conventional dynamic programming (DP), evolutionary programming (EP), and particle swarm optimization (PSO) method. Experimental results show that the application of this evolutionary programming based particle swarm optimization method has the potential to solve multi area unit commitment problem with lesser computation time.

EP Based PSO Method for Solving Multi Area Unit Commitment Problem with Import and Export Constraints

K. Venkatesan,G. Selvakumar,C. Christober Asir Rajan 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.2

This paper presents a new approach to solve the multi area unit commitment problem (MAUCP) using an evolutionary programming based particle swarm optimization (EPPSO) method. The objective of this paper is to determine the optimal or near optimal commitment schedule for generating units located in multiple areas that are interconnected via tie lines. The evolutionary programming based particle swarm optimization method is used to solve multi area unit commitment problem, allocated generation for each area and find the operating cost of generation for each hour. Joint operation of generation resources can result in significant operational cost savings. Power transfer between the areas through the tie lines depends upon the operating cost of generation at each hour and tie line transfer limits. Case study of four areas with different load pattern each containing 7 units (NTPS) and 26 units connected via tie lines have been taken for analysis. Numerical results showed comparing the operating cost using evolutionary programming-based particle swarm optimization method with conventional dynamic programming (DP), evolutionary programming (EP), and particle swarm optimization (PSO) method. Experimental results show that the application of this evolutionary programming based particle swarm optimization method has the potential to solve multi area unit commitment problem with lesser computation time.

Multi-Area Unit Commitment with Bilateral Contract Approach in Deregulated Electricity Market

S.Chitra Selvi,R.P.Kumudini Devi,C.Christober Asir Rajan 대한전기학회 2009 Journal of Electrical Engineering & Technology Vol.4 No.3

The eventual goal of this paper is to help the generating companies and load-serving entities to choose appropriate relative levels of interconnected system versus bilateral trades while considering risk, and economic performance. In competitive power markets, electricity prices are determined by balance between demand and supply in electric power exchanges or bilateral contracts. The problem formulation is bilateral contract incorporated into Multi-area unit commitment with import/export and tie-line constraints. This proposed method considers maximizing own profit or minimize the operating cost among the generating companies in multi-area system. The feasibility of the proposed algorithm has been demonstrated using IEEE system with four areas and experimental results shows that proposed method is reliable, fast and computationally efficient

Multi-Area Unit Commitment with Bilateral Contract Approach in Deregulated Electricity Market

Selvi, S.Chitra,Devi, R.P.Kumudini,Rajan, C.Christober Asir The Korean Institute of Electrical Engineers 2009 Journal of Electrical Engineering & Technology Vol.4 No.3

The eventual goal of this paper is to help the generating companies and load-serving entities to choose appropriate relative levels of interconnected system versus bilateral trades while considering risk, and economic performance. In competitive power markets, electricity prices are determined by balance between demand and supply in electric power exchanges or bilateral contracts. The problem formulation is bilateral contract incorporated into Multi-area unit commitment with import/export and tie-line constraints. This proposed method considers maximizing own profit or minimize the operating cost among the generating companies in multi-area system. The feasibility of the proposed algorithm has been demonstrated using IEEE system with four areas and experimental results shows that proposed method is reliable, fast and computationally efficient

Applications Development : a Value-Laden Process

Christobal Cayaba,Zelinna Pablo 한국경영정보학회 2014 Asia Pacific Journal of Information Systems Vol.24 No.3

Applications Development: a Value-Laden Process

Cayaba, Christobal,Pablo, Zelinna The Korea Society of Management Information System 2014 Asia Pacific Journal of Information Systems Vol.24 No.3

A long-drawn out debate in the field of technology is whether it is value-neutral or value-laden. While some have argued that this debate has been resolved given the increasingly accepted view that technology is socially constructed, this is still not reflected in mainstream research which still assumes that technology is neutral. What is clear is that both views tend to be linked to studies that primarily focus on explicit forms of technology such as technological designs and their usage. These studies, though significant, may be limited in terms of an underemphasis on the process by which these technologies emerge, a process that requires decision-making activities made by different stakeholders and thus involves value judgments. In order to understand the extent of value-neutrality or value-ladenness of technologies, therefore, it is important to examine not only the final outcomes but also the process involved in technological development (including the artifacts created and used). In this study, we explored how values may be embedded in a specific IT application, and in cases of conflict of values, how they are prioritized. We did this in the context of applications development through an examination of the stages ranging from requirements analysis to coding to testing and deployment.