Naveen Kumar Sharma

Review of Artificial Intelligence Techniques Application to Dissolved Gas Analysis on Power Transformer

 Abstract—Transformers are a critical part of an electrical utilitys asset base. On-line monitoring and diagnostics is a useful tool to help operators to manage their assets and make decisions on continuing operation, maintenance or replacement. Dissolved Gas Analysis (DGA) is the heart of on-line monitoring as it is a well-established method of transformer diagnosis. DGA techniques are simple, inexpensive, and widely used to interpret gases dissolved due to the deterioration of the insulating oil of power transformers and hence to diagnosis, possibility of various type of faults in power transformer. Various diagnostic criteria based on gas analysis have been developed. In this paper, the application of many AI techniques have been presented such as Artificial Neural Network (AAN), Fuzzy Interface System (FIS), Genetic Algorithm (GA), Extended Relation Function (ERF), Bayesian Network (BN), Self Organizing Map (SOM) and Discrete Wavelet Network (WNs) Transforms, which can be used to increase the efficient and accurate diagnosis for off line and on line monitoring of power transformers.

Optimal location and rating of wind power plants in competitive electricity market

A large penetration of renewable energy in a sector plays a leading role in energy generation to counter the effect of global warming on the environment. The trend in liberalized power system scenarios presents the potential of the wind power generator (WPG) to become one of the major contributors in the alternative energy production sector. Environmental conditions significantly influence the performance of these WPGs, and thus, the optimal assessment of the potential location and rating of the WPG is crucial. This paper presents a generalized model for determining the optimal location and rating of the WPG in a competitive electricity market. The multi-objective optimization problem has been formulated with an objective of maximizing the social welfare and profitability of a wind generation company by minimizing the distribution losses by optimal location and rating of WPGs in the system. To investigate the effectiveness of the proposed approach, a 39-bus New England transmission system has been modifie...

Reduction in subsidy for solar power as distributed electricity generation in Indian future competitive power market

Developed countries have seen renewable energy as a key tool for emission reduction as well as reducing reliance on oil, gas, and coal. Renewable energy sources (RESs) and technologies have potential to provide solutions to the longstanding energy problems being faced by the developing countries. In the future competitive electricity market for India, it becomes very much important to give special consideration for development of RESs due to economic, environmental, and other social problems related with conventional generations. Solar energy can be an important part of Indias plan not only to add new capacity but also to increase energy security and lead the massive market for renewable energy. The major problem with solar power generation (SPG) is high cost of renewable generation. The Indian government is providing a lot of subsidy in order to encourage renewable energy generations. This paper presents an approach for reduction in subsidy of SPG used as distributed generator in competitive power marke...

Strategy for optimal location and rating of wind power generator with maximization of social welfare in double auction competitive power market

This paper presents a generalized optimal model for determining the location and rating of wind power generation in double auction competitive power market. The optimization technique has been used with an objective to maximizing the social welfare and profit to wind gencos company (WP-GENCO) while consider all system constraints. The performance of any electricity market is assessed by its impact on social welfare, which may be defined as “the difference of the benefit of the energy to society as measured by societys willingness to pay for its demand and the cost of energy.” Each distribution company (Disco) will pay an amount to independent system operator (ISO) for purchase the power and each generation company (Genco) will receive an amount from the ISO to sale the power. The amount to be paid by each Disco and amount to be received by each Genco has been determined by pay as bidding price approach. The social welfare has been then determined based on total payments and receipts. The proposed approac...

Determination of optimal capacity of pumped storage plant by efficient management of renewable energy sources

An efficient management of renewable energy sources (RES) is one of the major issues in present power sector which can satisfy the energy requirements of particular area in proper and sustainable manner. The efficient utilization of RES along with pumped storage power plant will help to reduce the total cost of generation. The main objective of the present work is to determine the optimal capacity of pumped storage plant by efficient management of different modes of RES like hydro power, wind energy, PV (solar) energy with conventional units to meet the current energy requirements.

Renewable Energy Management in Multi-microgrid Under Deregulated Environment of Power Sector

Microgrid (MG) is the combination of different distributed generation units and local loads. It is a small self-sustaining power network which serves its local load. Generally it can be operated in grid connected mode or grid isolated mode. The objective of this paper is to maximize the social welfare and minimize operating cost. Social welfare/benefit with the operator may be used for giving subsidies to renewable based plant, farmers, society welfare, etc. This paper proposes an approach to maximize the social welfare of each microgrid through discriminated price auction mechanism. MATLAB Interior Point Solver (MIPS) method has been used for computing the corresponding allocations and price of each unit in the multi-microgrid system. Also, a comparison of social benefit and the operating cost of each microgrid considering both presence and absence of renewable energy sources is carried out. For analysis of this approach 49 bus system is used, which is divided as microgrid A (14 bus system), microgrid B (15 bus system), microgrid C (14 bus system) and rest of the buses are used in the main grid architecture and its dispatchable load buses. The results of this proposed method show that social welfare is maximized while optimally managing renewable-based distributed units with their conventional fuel based distributed generation units.

Comparative Study of Duval Triangle with the New DGA Interpretation Scheme

Fault diagnosis of power transformer for condition evaluation is being carried out by oil analysis for decades. The most efficient and easy way of condition evaluation of transformer is by evaluating the concentration of gases present in the transformer oil, done using dissolved gas analysis (DGA) over which several techniques are employed to predict the type of fault present in the transformer. Among all the techniques, Duval triangle is the most prominent. However, due to ignorance of the two combustible gases, namely ethane (C2H6) and hydrogen (H2), this technique employs lower accuracy for certain faults type. The paper presents a new DGA interpretation scheme carried out through several case studies using gas ratios and their proportion limit as rules implemented in MATLAB to diagnose the fault. The gases produced during the deterioration of transformer oil and insulation paper have been examined using Duval triangle and the new DGA interpretation scheme, on the DGA samples collected from TIFAC-CORE Laboratory, NIT Hamirpur, and published papers. The result obtained from the new DGA interpretation scheme showed promising results compared to the conventional Duval triangle.