Abstract
The paper develops an improved social spider optimization algorithm (ISSO) for finding optimal solutions of economic load dispatch (ELD) problems. Different ELD problem study cases can bring huge challenges for testing the robustness and effectiveness of the proposed ISSO method since discontinuous objective functions as well as complicated constraints are taken into account. The improved method is different from original social spider optimization algorithm (SSSO) by performing several modifications directly related to three processes of new solution generation. Namely, the proposed method keeps one formula for the first and the second generations and modify them effectively while SSSO has two different formulas for each generation. In the third generation, the proposed method applies a new formula for determining the mating radius of dominant males and females with the intent to expand search space and avoid falling into local zones. The modifications can support the proposed ISSO method find better solutions with faster manner than SSSO while the number of control parameters and the number of computational processes can be reduced. As a result, the proposed method can find much less generation cost and achieve faster search speeds than SSSO for all considered systems. On the other hand, the search ability evaluation of the proposed method is also given by comparing results with other existing methods available in previous studies. The proposed method can obtain approximate or better results and faster convergence than nearly all compared methods excluding for the last system. Consequently, the proposed ISSO method can be recommended to be a strong method for ELD problem and it can be tried for other mathematical problems in engineering.
Highlights
Economic load dispatch (ELD) is one of the most complex problems in power system optimization operation consisting of the specific objective of reducing total electric generation fossil fuel cost and taking constraints regarding all power plants into account
Diversification of systems is in turn taken into account when considering different data such as single fuel source, multiple fuel sources, multiple fuel sources with valve effects as well as different constraints such as generation capacity (GC), demand side-supply side balance (DSB), generation increase and decrease range (GIDR), violated working zone (VWZ) and requested reserve power (RRP)
improvement percentage (IP) values indicate that the proposed method can get the same performance as some methods and can improve the performance to
Summary
Economic load dispatch (ELD) is one of the most complex problems in power system optimization operation consisting of the specific objective of reducing total electric generation fossil fuel cost and taking constraints regarding all power plants into account. The considered problem here is mathematically formulated by the presence of objectives and constraints where the objective is the power output-fossil fuel cost function-based characteristic while constraints consider the stable operating conditions of thermal power plants. A huge number of researchers found optimal operation parameters of interconnected thermal power plants or all thermal generating units in each thermal power plant by employing optimization algorithms based on optimization theory or natural phenomena. These applied methods are classified into two large groups in which the first large group is based on derivatives and neural networks while the second large group is based on heuristic searches
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