Abstract

The sustainability of the power systems assures consumers to have efficient and cost-effective energy consumption. Consumers' energy management is one of the solutions that in fact boosts the power system stability via efficiently scheduling the appliances. In addition to energy management, consumers fulfill their low-cost energy consumption using decentralized energy generation (such as solar, wind, plug-in hybrid electric vehicles, and small diesel generator). This decentralized energy generation and its trading among the prosumers and consumers help in the distribution grid stability and continuous supply. In this paper, the joint energy management and energy trading model is presented, which provides low-cost electricity consumption to the distribution system. The proposed framework is a twofold system. In the first fold, the distribution system is divided into a number of microgrids, where each microgrid electricity demand is managed using a unified energy management approach. While the local energy produced is traded among the microgrids in the second fold, through energy trading concepts that fulfill the consumers' demand without stressing the utility company. The results indicate that the proposed model reduced the electricity cost of the microgrids with maximum share of self-generation. Moreover, the results also indicate that each microgrid either fulfills its electricity demand from self-generation or purchases it from the nearby microgrid.

Highlights

  • The sharply increased demand in residential global energy market compelled the power producers to rethink the energy consumption

  • Energy management algorithms are available that shift the high electricity demand of consumers into off-peak hours to reduce the overloading of the distribution system [3], [4]

  • Predictive control scheme based demand response is presented by Hedegaard in [6], which reduces the peak hours demand and increases the end-user saving by 46%

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Summary

INTRODUCTION

The sharply increased demand in residential global energy market compelled the power producers to rethink the energy consumption. A noncooperative and non-quadratic dynamic game-based model maximizes the power system reliability by increasing the local generation and by ensuring lower market prices [27], [43] Another non-cooperative game based energy trading mechanism between residential and commercial prosumers is discussed in [46], which minimizes the energy cost for both residential and commercial prosumers. A blockchain platform that enables peer-to-peer (P2P) energy trading the residential sector used to maximize the use of renewable energy resources which minimizes the energy cost and it helps power system stability [49] Another P2P energy trading strategy based on the energy trading price for prosumers discussed in [50].

SYSTEM MODEL AND MATHEMATICAL MODELLING
ENERGY MANAGEMENT MODEL
ENERGY TRADING MODEL
CONCLUSION
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