Optimal power flow model incorporating wind, solar, and bundled solar-thermal power in the restructured Indian power system

ABSTRACT

A new optimal power flow model for wind, solar, and solar-thermal bundled power scheduling and dispatch is proposed, incorporating the deviation incentive/penalty charges for renewable energy introduced in India. The multiobjective function is solved using the flower pollination algorithm; the scheme is successfully tested on the IEEE 30-bus and Indian utility 30-bus systems. The forecasting error constraints introduced in renewable energy scheduling and dispatch are demonstrated to be beneficial in several aspects. Solar-thermal bundling is shown to create win-win situations for thermal and solar generators. The effectiveness of the flower pollination algorithm in solving optimal power flow models is proved.

KEYWORDS:

• Flower pollination algorithm (FPA)
• forecasting error band
• renewable energy
• scheduling and dispatch
• solar-thermal bundling