<p>The increasing installation of renewable energy sources, known for their variable power outputs, is reshaping the generation mix of the power industry. It has been revealed through a market clearing algorithm which are the complexities with minimum production output where marginal prices are evaluated that assure the competitiveness in the market. Various transactions like, with a node in single period, multi period, a node considering network congestion in single and multi period along with load uncertainty which are merged with stochastic trading, are vividly explained through spatial and splitting of the market pricing and reserves which act as flexible indicators. This paper addresses the challenge of optimizing profit in a market with flat pricing models by analyzing the scheduling problem in a mixed generation environment comprising both conventional and renewable sources. The primary aim is to maximize profit through the calculation of the settlement price, known as the Marginal Price. This task has been completed by adhering to various constraints, including technical, capacity, security, and reserve requirements, across multiple energy assets and time periods. The uniqueness of this paper has been divulged through mitigating the uncertainties like price, load fluctuations during the production of renewable sources through the incorporation of “UP &amp; DOWN” reserves for two scenarios namely “HIGH &amp; LOW” having probability density functions to calculate the prices &amp; profit in real-time period for sustainable power market industry.</p>