article · IEEE Access
Cogeneration energy systems produce both heat and electricity, but balancing production to meet demand while keeping fuel costs as low as possible is a complex, non-linear challenge. The Manta Ray Foraging Optimisation Algorithm provides a meta-heuristic technique to solve this economic dispatch problem, factoring in valve point effects and operational constraints. The method schedules power-only units, heat-only units, and combined cogeneration units while meeting overall heat and power demands without exceeding equipment limits. Testing on configurations with five, seven, and forty-eight units shows that the algorithm effectively reduces total fuel costs. The approach demonstrates feasibility and efficiency, offering improved cost outcomes when compared against other optimisation methods applied to cogeneration energy scheduling.
Cogeneration plants cut energy waste by generating electricity and useful heat simultaneously. Finding optimal operational schedules reduces total fuel consumption and running costs for these complex plants. Better optimisation methods allow energy operators to meet fluctuating heating and electrical loads more reliably and economically, supporting more cost-effective energy production.
This algorithm could assist plant operators and energy management software developers in scheduling combined heat and power systems to cut fuel expenses. Because the method was tested on simulated benchmark configurations of five, seven, and forty-eight units, the research represents early-stage or applied simulation testing rather than immediate real-world deployment.
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Economic Power and Heat Dispatch (EPHD) in Cogeneration Energy Systems (CES) is considered as one of non linear hard optimization problems. It is optimally scheduling the of heat and power generation units. It aims at minimizing the total fuel cost (TFC) of cogeneration units considering their operational limits. In this paper, a Manta Ray Foraging Optimization Algorithm (MRFOA), which is a recent meta-heuristic optimization technique, is developed to solve the EPHD problem in CES with additional non-convex valve point effects. The simplicity and effectiveness motivate the attempt of employing the MRFOA to minimize the TFC for power units only, cogeneration units and heat units only. The equality constraints by supplying the total loading of power and heat is are maintained. In addition, the inequality operational bounds of power only and heat only units are satisfied while the dynamic operational bounds of cogeneration units are not jeopardized. Three test systems are analyzed to estimate the MRFOA performance for solving the EPHD problem in CES, which involve 5 units, 7 units, and 48 units. It is worth noticing that the optimal solutions demonstrate MRFOA capability, feasibility and efficiency of better solutions obtained in terms of TFC compared with other optimization methods and the ability of implementation of MRFOA on EPHD issue in CES..
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DOI: 10.1109/access.2020.3038740
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