Day-Ahead Scheduling for Renewable Energy Generation Systems considering Concentrating Solar Power Plants

With the advent of new types electrical systems that attach more importance to renewability energy resource, issues arising out randomness and volatility renewable such as safety, reliability, economic operation underlying power generation system, are expected be challenging. Generally speaking, company can do a reasonable dispatch each unit according weather forecast load demand information. Focusing on concentrating solar (CSP) plants (wind power, photovoltaic, battery storage, thermal plants), this paper proposes day-ahead scheduling model for systems. The also considers response related generator set constraints. problem is described mixed-integer nonlinear programming (MINLP) problem, which solved by CPLEX solver obtain an optimal solution. At same time, compares analyzes impact other results show system lower costs, reduce fluctuation, enhance storage rate.