Abstract

This paper addresses the use of nanogrid technology in resolving the issue of blanket load shedding for domestic consumers. This is accomplished by using different load management techniques and load classification and utilizing maximum solar energy. The inclusion of DC-based load in basic load and DC inverter load in regular load and scheduling of the burst load during the hours of maximum solar PV generation bring novelty in this work. The term “nanogrid” as a power structure remains ambiguous in various publications so far. An effort has been done in this paper to present a concise definition of nanogrid. Demand side load management is one of the key features of nanogrid, which enables end users to know major characteristics about their energy consumption during peak and off-peak hours. A microgrid option with nanogrid facility results in a more reliable system with overall improvement in efficiency and reduction in carbon emission. PV plants produce DC power; when used directly, the loss will automatically be minimized to 16%. The AC/DC hybrid nanogrid exhibits 63% more efficiency as compared to AC-only nanogrid and nearly 18% more efficiency as compared to DC-only nanogrid. Smart load shifting smoothens the demand curve 54% more adequately than during conventional load shifting. Simulation results show that real-time pricing is more economical than flat rate tariff for a house without DG, whereas flat rate results are more economical when DG are involved in nanogrids. 12.67%-21.46% saving is achieved if only flat rates are used for DG in nanogrid instead of real-time pricing.

Highlights

  • In the past few years, power shortfall is considered as a vital issue with the increasing demand of electricity

  • The local loads are powered by the local power production and can even opt to utilize a control system or the energy storage.”

  • All the results presented here are for the summer season

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Summary

Introduction

In the past few years, power shortfall is considered as a vital issue with the increasing demand of electricity. (iii) Continuous supply of power is possible during hours of unplanned load shedding at the domestic level (iv) Utilization of maximum solar energy with load classification schemes along with nanogrid reduces the expensive utility tariff (v) The dependency of consumers on utility is reduced by interacting with both utility and end user at a single platform in order to reduce the load demand (vi) Rescheduling of maximum power-consuming tasks is done during hours of maximum PV generation which flattens the load curve during peak hours (vii) DC nanogrid implementation reduces the power conversion losses for basic load (viii) Proposed series and parallel combination of solar PV array reduces line losses for high-rise buildings (ix) Proposed algorithm used for charging and discharging battery storage and shifting load back to utility helps in minimizing battery discharge, further enhancing the life of storage (x) Specific machines are remotely controlled using a wireless circuit breaker and rescheduled to a healthy time slot as up to 40% of load is decreased if considering washing and drying only (xi) EMS determines the practical application of the DC-AC network with incorporation of solar PV and battery storage within available infrastructure. The Water and Power Development Authority (WAPDA) and Karachi Electric Supply Corporation (KESC) are responsible for generation, transmission, and distribution of electricity throughout the country

Background of Nanogrid and Definition
Simulation Design
Loss Analysis for Integrated Solar PV Nanogrid
Simulation Results
Conclusion
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