Abstract
It is well accepted that combined heat and power (CHP) generation can increase the efficiency of power and heat generation at the same time. With the increasing penetration of CHPs, determination of economic dispatch of power and heat becomes more complex and challenging. The CHP economic dispatch (CHPED) problem is a challenging optimization problem due to non-linearity and non-convexity in both objective function and constraints. Hence, in this paper a novel meta-heuristic algorithm, namely improved artificial bee colony (IABC) algorithm is proposed to solve the CHPED problem. The valve-point effects, power losses as well as the feasible operation region of CHP units are taken into account in the proposed CHPED problem model and the optimal dispatch of power/heat outputs of CHP units is determined via the proposed IABC algorithm. The proposed algorithm is applied on three test systems, in which two of them are large-scale CHPED benchmarks. The obtained results and comprehensive comparison with available methods, demonstrate the superiority of the proposed algorithm for dealing with non-convex and constrained CHPED problem.
Highlights
Because of high economic saving potential of better algorithms, this paper focuses on solution methodology of CHP economic dispatch (CHPED) problem
The results reported using the above modifications indicate that both of the above search rules are very effective approaches in the optimization problems solved by ABC algorithm [39]
The obtained results in this table are compared with the recent algorithms such as teaching learning-based optimization (TLBO) [43], OTLBO [43], conventional particle swarm optimization (PSO) (CPSO) [15], TVAC-PSO [15], arithmetic crossover harmony search (ACHS) [47], group search optimization method (GSO) [48], improved GSO (IGSO) [48] and Grey wolf optimization algorithm (GWO) [45]
Summary
Heat is considered to be a byproduct of power generation in conventional power generation systems and when it is not fully used that results in lower efficiency. Co-generation systems or combined heat and power (CHP) generation systems use the heat from a power plant and send it around to interested consumers. Co-generation plants can produce both heat and electricity with better energy efficiency and fuel usage [1]. CHP systems have attracted more attention due to their higher efficiency (up to 85%), network loss reduction, and rapid return of investment [2,3]. The complexity of the economic dispatch problem will be increased by including the CHP systems. It is necessary to propose appropriate solution procedure to obtain optimal schedules for both heat and power
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