Operational Cost Based UC by Introducing HCSP in Case of PVs Power Uncertainty

Abstract

This research proposes a smart mini-grid operation and management for an island by introducing Hybrid Concentrated Solar Power (HCSP), Photovoltaic (PV) and thermal generations, Smart Houses (SH) and loads. Indeed, PV power output depends on weather conditions. So, uncertainty of PV generations is a common drawback that is very difficult to tackle. Typically, smart grids are introducing bulk capacity Battery Energy Storage System (BESS) for tackling uncertainty problem. It is expensive and consumes grid power while charging. HCSP is a renewable generation that can be used instead of bulk BESS. Usually, Concentrated Solar Power (CSP) needs at least 15 minutes for a hot start-up. Therefore it cannot solve the problem of uncertainty. This proposed research introduces an HCSP which has a small capacity BESS inside of HCSP. This BESS is charged and discharged from HCSP. BESS covers the start-up time of HCSP, so any time Information Communication and Technology (ICT) department call this HCSP to turn on. A utility company can make optimal thermal generators’ unit commitment (UC) by running HCSP optimally and can save operational costs. PVs power outputs have predicted by Neural Networks, and simulations results are determined by using MATLAB® INTLINPROG optimization toolbox.