Effective energy management and cost effective day ahead scheduling for distribution system with dynamic market participants*

Complications involving penetration of renewable energy components into grid have forced the power system operators to change the strategies for Energy Management. One of the main objectives of power system planning is cost-effective day-ahead scheduling of power. This paper focuses and analyses an optimized day-ahead power schedule that involves different market participants like MG (Micro Grid), DG (Distributed Generation), DS (Distribution Storage), and Volt/Var control. Different modes of operation of DER (Distribution energy Resources) are considered, which includes Planned Islanding events. The objective function is formulated to minimize operating cost throughout the day. Constraints are obtained using the dynamics of the market participants. The problem is formulated using YALMIP and solved using GUROBI in MATLAB platform for 33 node system. Results show that total operating cost is reduced by 10.57% with optimization as compared to non-optimized cases considering DER in Non Islanded mode.Total operating cost is reduced by 10.08% with optimization as compared to nonoptimized cases considering DER in Islanded mode.Compared to algorithms proposed in this area,on an average the operational time also gets reduced by 3.37% .It is also observed that the proposed algorithm manages voltage congestion effectively.

Automated summary

This paper focuses on an optimized day-ahead power schedule involving various market participants like MG, DG, DS, and Volt/Var control by considering different modes of operation of DER to minimize operating cost throughout the day. The results show significant reduction in total operating cost with optimization, along with decreased operational time and effective management of voltage congestion.