Document Type

News Article

Abstract

The multi-objective optimal scheduling of the VPP problem considering multiple renewable energy resources consist of solar PV modules, wind turbines, fuel cells, electric loads, heat-only units, and CHP units, has been solved using the multi-objective optimization algorithms. In this research, a peak valley power pricing strategy is introduced and the optimal scheduling of the VPP is attained by performing a multi-objective scheduling strategy (MOSS), which is day-ahead (on an hourly basis) and 15-min based (for a one-day profile), to observe the behavior of the anticipated system with a better constraint handling method.

This work also aims to integrate solar PV with a utility grid to supplement the demand of a load. Energy management system (EMS) estimates and monitors the actual energy generation and use. The optimum solar PV EMS with electric vehicle (EV) as a storage unit is developed based on the load data. The linear program-based optimization method is used to decrease the extent of energy import from the utility grid and the total cost of variable-priced electricity.

  1. https://www.mdpi.com/1996-1073/15/16/5970
  2. https://www.sciencedirect.com/science/article/abs/pii/S2352152X22010696
  3. https://www.sciencedirect.com/science/article/pii/S030626192200438X
  4. https://www.mdpi.com/1996-1073/15/9/3102

Publication Date

Winter 11-1-2022

Included in

Engineering Commons

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