article · Advanced engineering forum
Economic dispatch is a key operational task in power systems, focusing on finding the ideal combination of power outputs across generating units to minimise fuel expenditure whilst meeting system load constraints. This research applies the Moth Flame Optimisation algorithm to address the economic dispatch challenge, taking into account emissions and valve point loading effects. The approach targets three specific operational criteria: cutting total generator operating costs, minimising emission costs, and balancing both via a multi-objective framework. The methodology was evaluated using two separate test scenarios, comprising a system with six generating units and an isolated microgrid. When compared against alternative algorithms, the method demonstrated improved global convergence, providing effective solutions that lower overall generation expenses and emissions.
Balancing energy production costs with environmental impacts is critical for modern power networks. Algorithms that can successfully schedule power generators whilst factoring in real-world constraints, such as valve point loading and emissions, help network operators lower fuel consumption and limit harmful pollutants, supporting cleaner and more affordable electricity supply.
The algorithm could be utilised by electrical grid operators and microgrid managers seeking software solutions to schedule generation efficiently. Tested on a six-unit system and an isolated microgrid, the technology represents early-stage, simulated algorithm development that would require integration into commercial power management software before real-world adoption.
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Economic dispatch (ED) is an important optimization task in power system which involves determination of the optimal combination of power outputs for all generating units which will minimize the total fuel cost while satisfying load constraints. There are three criteria in solving the economic load dispatch problem. They are minimizing the total generator operating cost, total emission cost and multi-objective (cost and emission). This paper proposes Moth Flam Optimization (MFO) algorithm for solving the economic dispatch problem with valve point effects and emissions. It determines the optimal generation schedule of generating units by minimizing three criteria. Two test systems consisting of 6 generating units and isolated microgrid have been used to illustrate the effectiveness of the proposed MFO method. The results obtained from MFO is compared with different algorithms. The results show better global convergence and also gives good optimum solution by reducing system generation cost and emission cost.
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DOI: 10.4028/www.scientific.net/aef.28.139
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