Day-Ahead and Intraday Dispatch of an Integrated Biomass-Concentrated Solar System: A Multi-Objective Risk-Controlling Approach

Solar energy and bioenergy are two leading renewable forms of in the move toward a near-zero-emission electric power industry. Concentrated solar units coupled with thermal storage biomass plant offer dispatchable electricity, raising their ever-growing role future renewable-dominated networks. This paper proposes day-ahead intraday dispatch model for maximizing profit an Integrated Biomass-Concentrated (IBCS) system considering synergies arising from operation. To sensibly capture uncertainty decision sequence real-life electricity markets, two-stage stochastic structure is proposed, while solar-related involved using Information Gap Decision Theory (IGDT). The complemented novel multi-objective architecture based on compound IGDT Conditional Value-at-Risk (CVaR), which allows handling risk exposure to both inputs. Pareto strategies extracted through expanded form $\epsilon$ -constraint method, whereas a posteriori approach upon out-of-sample assessment applied derive optimal pattern among generated strategies. simulation results demonstrate that: 1) proposed integrated achieves substantial profitability, 2) performance suggested CVaR-IGDT superior conventional approaches.