Abstract
This paper proposes the Improved Chimp Algorithm (ICHIMP) to solve single area dynamic economic load dispatch (ELD) problem of electric power system. Chimp is a biologically-stimulated heuristic optimization technique, which is embedded on impersonating the technique chimps hunt for food and remain existent by escaping from their adversary. The particularity of ICHIMP is that the chimps move in group for hunting but each chimp searches the prey independently. The single area dynamic dispatch problem is described as non-linear, complex and forced optimization problem with objective function to curtail the total generation price, whereas fulfilling the correspondence and dissimilarity constraints of the system. This proposed algorithm has been tested on five different test systems consisting of 3, 6, 13, 20 and 40- generating units.. The test results of ICHIMP determine its superiority over other existing algorithms addressed in literature and show that it outperforms for Single area dynamic dispatch problem of electric power system.
Highlights
Single area scalar objective economic dispatch Problem (ELDP) of electric power system is a key optimization issue in the power system network due to its complex, nonconvex, non-smooth and non-linear, characteristics [1]
According to [4], [5], To congregate the load demand at feasible price within the limits of transmission and operational capability of the system is achieved by Economic load dispatch, which is the best outcome of many electricity generation units
These classical methods suffer from some limitations and inconveniences such as: Worse convergence and computational complexity [19], High sensitivity of initial approximate calculations [20], Difficulties in handling nonlinear, non-convex and non-smooth problems [21], The accurate optimum solution is only guaranteed to continuous cost function which does not coincide with the practical ED problem [22], Not applicable to several real- life problems
Summary
Single area scalar objective economic dispatch Problem (ELDP) of electric power system is a key optimization issue in the power system network due to its complex, nonconvex, non-smooth and non-linear, characteristics [1]. The static economic dispatch as well as dynamic economic dispatch is categorized from economic dispatch as it is mentioned in [6],this static economic dispatch provides the optimum of the entire fuel price in a specified duration devoid of allowing for the fundamental relation of the systems between dissimilar operating periods whereas much attention is required to pay when considering dynamic economic dispatch issue in connection of different operating times like as ramp rate limits, prohibited operating zones of generating units This traditional representation of ED difficulty formulates the price purpose of generating unit as a single quadratic function, this formulation ignores the valve-point effects the inaccurate results [5],[7].The realistic ED difficulty is nonlinear, non-smooth, non-convex and more complex owed in occurrence of valve-point loading and ramp limits which complicates the global optimum search [5],[8]. An Improved Chimp Algorithm (ICHIMP) is applied to solve the single area Economic Load Dispatch problem and simulation results show that it outperforms other algorithms addressed in literature
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