Evolutionary algorithms for bid-based dynamic economic load dispatch: A large-scale test case

Abstract

The bid-based dynamic economic load dispatch problem (BBDELD) is an optimization problem that arises in the modern context of a de-regulated national energy market, and involves matching bids from competing generating companies to the demands of consumers (regions) so as to maximize a measure of 'social profit'. We present a novel approach to solving the BBDELD, and introduce a large-scale test-case designed to reflect the deregulated Nigerian electricity industry. We build on previous work on smart evolutionary algorithm approaches to the static economic load dispatch (SELD) and dynamic economic load dispatch (DELD) problems, and also the BBELD (the nondynamic form). We evaluate the performance of two evolutionary algorithm, previously reported on small-scale test cases of the BBELD, on dynamic extensions of those test cases (with demand profiles varied over 24 periods), and we introduce a new large-scale test case based on Nigerian sector data, involving 40 generators, 11 customers in 24 dispatch periods. The results demonstrate that the two approaches reported seem more effective than previous approaches on the previously reported cases (when tested on the non-dynamic versions for which prior results are available), and are capable of dealing successfully with the country's large-scale test case.

Combined economic and emission dispatch considering conventional and wind power generating units

“…The fitness of the population t is formed, and it is determined by the objective functions. The fitness of this model is the emission constrained costs, which is Equation 10. iii.…”

“…The primary aim of the price‐based ED model is to maximize the profit of the generation companies, which means maximizing the difference between the revenue and cost of generation . Also, the bid‐based ED models aim to maximize the social benefit, ie, to maximize the difference between the benefit of the customer and cost of the generator, for the system operator, namely the NSP …”

“…9 Also, the bid-based ED models aim to maximize the social benefit, ie, to maximize the difference between the benefit of the customer and cost of the generator, for the system operator, namely the NSP. 10 In this research, the objective is to minimize the generation and emission cost for a given electrical system for the NSP. The conventional generators belong to the NSP and the wind farm is owned by the IPP.…”