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Abstract
This chapter aims to investigate the impact of the penetration of distributed energy resources, such as microcombined heat and power (µ-CHP) and photovoltaic (PV), on energy conservation and the optimization of microgrids. Recent energy conservation and optimization solutions are designed to minimize grid losses and perform conservation voltage reduction based on data collected from advanced metering infrastructure. The penetrations of µ-CHP, and PV units throughout microgrids potentially increases grid complexity and uncertainty levels, which may adversely affect the performance and the accuracy of energy conservation and optimization solutions. This chapter introduces an advanced smart grid adaptive energy conservation and optimization system. Fuzzification technique is used to accurately weight optimization engine subparts. To test the performance of the proposed solution, a 33-node microgrid is employed. The results of this study could enable microgrid energy conservation and optimization solutions to achieve higher levels of accuracy, efficiency, and performance.
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