Unit commitment considering dual-mode combined heat and power generating units using integrated optimization technique

An enhanced approach for solving multi‐objective cogeneration based unit commitment problem

“…Hypercube representing corners in decimal heuristic method based on the priority list. 38 The MUT and MDT constraints are satisfied using Equations (11)(12)(13)(14). The procedure to handle the constraint of the CBUC problem is shown in Figure 5.…”

Integration of emerging resources in IGDT-based robust scheduling of combined power and natural gas systems considering flexible ramping products

“…Higher power grid operational flexibility could be achieved by system operation improvement [2][3][4], using fast start resources [5], using emerging flexible resources [6,7], and improving grid infrastructure. Practically, in order to improve system operation, designing new markets, using new models and algorithms in the process of unit commitment [8,9] and modeling the uncertainty of renewable energy sources are the main concerns [10]. In this matter, an active market so-called "flexiramp in California independent system operator (CAISO) has been developed to compensate a partial loss of traditional plants and cheer them to provide flexible ramping products [11].…”

Analytic versus solver-based calculated daily operations of district energy plants

“…Thorin [19] et al succeeded obtaining UC for CHP using both MILP and Lagrangian relaxation obtaining solutions within reasonable times by a suitable division of the whole optimization period into overlapping sub-periods. Anand et al [20] considered dual-mode CHPs and found that in this case evolutionary programming was the best to solve the UC problem. Basu et al [21] have in a similar way used genetic algorithms for the UC problem, Takada et al [22] used Particle Swarm Optimization, and Song et al [23] used an Improved Ant Colony Search algorithm.…”