ECONOMIC DISPATCH STRATEGY OF VIRTUAL POWER PLANT USING ELEPHANT HERDING OPTIMIZATION
DESIGN DETAILS
Renewable energy sources prevail as a clean energy source and their penetration in the power sector is increasing day by day due to the growing concern for climate action. However, the intermittent nature of the renewable energy based-power generation questions the grid security,
especially when the utilized source is solar radiation or wind flow. The intermittency of the renewable generation can be met by the integration of distributed energy resources. The virtual power plant (VPP) is a new concept which aggregates the capacities of various distributed energy resources, handles controllable and uncontrollable loads, integrates storage devices, and empowers participation as an individual power plant in the electricity market. The VPP as an energy management system (EMS) should optimally dispatch the power to its consumers. This Matlab design is to analyse the optimal scheduling of generation in VPP for the day-ahead market framework using EHO. A case study is considered for this analysis in which the constituting energy resources include a photovoltaic solar panel (PV), micro-turbine (MT), wind turbine (WT), fuel cell (FC), battery energy storage system (BESS) and controllable loads. The real-time hourly load curves are considered in this work. Different scenarios are considered for the optimal dispatch of generation in the VPP to analyse the performance.
REFERENCES
Reference Paper-1: Optimal Dispatch Strategy of Virtual Power Plant for Day-Ahead Market Framework
Author’s Name: Poushali Pal, Parvathy Ayalur Krishnamoorthy, Devabalaji Kaliaperumal Rukmani, S. Joseph Antony, and Hany M. Hasanien
Source: MDPI
Year: 2021
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