Engineering

Permanent URI for this community

https://hdl.handle.net/20.500.14540/103

Browse

Browsing Engineering by Advisor "Karki, Nava Raj"

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    An Explicit Formula Based Estimation Method for Reliability of Urban Feeder in Kathmandu valley
    (I.O.E, 2024-06) Pandey, Rajesh Kumar; Karki, Nava Raj
    An innovative approach to reliability assessment in the planning phase of medium-voltage distribution systems is presented in this study. The method introduces a novel technique for estimating reliability indices, enabling their expression through explicit formulas while accommodating various network topologies. Initially, typical feeder structures are identified within the candidate area using a combination of tree edit distance and hierarchical clustering algorithms. Subsequently, for each typical network structure, a reliability evaluation model is established, incorporating factors such as fault isolation, load restoration, and the impact of reliability enhancement equipment, formulated through regression analysis. The feasibility and effectiveness of the proposed reliability assessment algorithm are validated through test cases, demonstrating its capability to achieve rapid and accurate reliability index calculations with minimal data requirements. This approach offers a systematic and efficient means of assessing distribution system reliability during the planning process, ensuring adaptability to diverse network configurations. Finally, this approach is implemented for Baneshwor 11 kV feeder distribution system.
  • Thumbnail Image
    Item
    Implementation of Demand Response Programs in Various Countries and Its Impact on the Bulk Power System Reliability
    (I.O.E, 2024-07) Sapkota, Madhav; Karki, Nava Raj
    Over recent decades, electricity systems have adopted demand-side participation features, including distributed generation, storage, and DR, recognized globally as vital for reliable power supply. Despite increasing electricity demand requiring robust infrastructure, DR effectively mitigates peak power scarcity by load redistribution, aligning with price fluctuations. This thesis explores diverse DR programs, originating from the late 1980s, with ongoing global research on efficacy and challenges in power market implementation. Utilizing MATLAB for coding and PSSE for power flow solutions, the thesis has two main objectives: investigating DR practices worldwide and integrating a DR model into a widely used RBTS 6-bus system for analysis. Peak demand assessment is pivotal, evaluating power system reliability indices within a reduced peak network context. The thesis introduces a comprehensive DR model, incorporating consumer behavior across scenarios and rationality levels, with Price Elasticity Matrices (PEMs) guiding DR calculation. Results indicate enhanced system reliability, supporting further demand management, especially through major DR programs. The thesis emphasizes tailored demand-side management approaches based on consumer categories, highlighting the importance of Incentive-based DR (IBDR)
  • Thumbnail Image
    Item
    Reliability Assessment of Power Distribution System of Industrial Estate: A Case Study in Balaju Industrial Estate
    (I.O.E, 2024-06) Rai, Mitra Kumar; Karki, Nava Raj
    The main task of distribution system is to provide acceptable reliability, economic and quality service of electricity according to the demanded load value. To fulfill this task more accurately, the reliability assessment of the distribution system can be performed and measured using a wide variety of reliability indices. This study evaluates the reliability indices of industrial distribution network, Balaju Industrial District, and deals with the reliability of four different network configurations (Case 0-1-2-3) to increase reliability and achieve more realistic results. Using ETAP, distribution networks are designed, comparisons are made. Reliability changes achieved by network configuration have demonstrated the importance of optimal configuration planning to improve the uninterrupted and sustainable energy quality of the system. In addition, cost of electricity outage, i.e. unserved energy cost, is estimated in this paper based on industrial consumer survey for the financial analysis from the reliability point of view. Outage cost is estimated by production loss method, backup generation method and willingness to pay method. The overall and the best feasible value of cost of unserved energy of BID power distribution system is calculated by taking the weighted average of estimated values from production loss method and backup generation method, and it is found to be Rs. 28.26 per kWh.