Modified Invasive Weed Optimization with Dual Mutation Technique for Dynamic Economic Dispatch
Modified Invasive Weed Optimization with Dual Mutation Technique for Dynamic Economic Dispatch
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R. Sharma, Member, IEEE , Niranjan Nayak, Member, IEEE ,Krishnanand K. R. and P. K. Rout, Member, IEEE
Abstract-- Dynamic economic dispatch (DED) is one of the main functions of power system operation and control. It determines the optimal operation of units with predicted load demands over a certain period of time with an objective to minimize total production cost while the system is operating within its ramp rate limits. This paper presents DED based on Invasive Weed Optimization (IWO) technique for the determination of the global or near global optimum dispatch solution. In the present case, load balance constraints, operating limits, valve-point loading, ramp constraints, and network losses using loss coefficients are incorporated. Numerical results for a sample test system (10- unit) have been presented to demonstrate the performance and applicability of the proposed method. Index Terms-- dynamic economic dispatch, invasive weed optimization algorithm, non-smooth cost function, valvepoint effect. I. INTRODUCTION NE of the most important aspects of power system operation is its obligation to supply power to the customers economically [1]. Power system economic load dispatch is the process of allocating generation among the available generating units subject to load and other operational constraints such that the cost of operation is minimum [2], [3]. And now a day’s quality requirements of power utilities are so severe, that the operators have to sort out possible means of minimizing the production cost so as to offer the most competitive price to its customers. This has led to the adoption of system models and other operational constraints more analogous to real life situations. Traditional optimization techniques can never accurately model the system according to mathematical solutions [4],[5]. To solve the DED problem, it is assumed that a thermal unit
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R. Sharma, Member, IEEE , Niranjan Nayak, Member, IEEE ,Krishnanand K. R. and P. K. Rout, Member, IEEE
Abstract-- Dynamic economic dispatch (DED) is one of the main functions of power system operation and control. It determines the optimal operation of units with predicted load demands over a certain period of time with an objective to minimize total production cost while the system is operating within its ramp rate limits. This paper presents DED based on Invasive Weed Optimization (IWO) technique for the determination of the global or near global optimum dispatch solution. In the present case, load balance constraints, operating limits, valve-point loading, ramp constraints, and network losses using loss coefficients are incorporated. Numerical results for a sample test system (10- unit) have been presented to demonstrate the performance and applicability of the proposed method. Index Terms-- dynamic economic dispatch, invasive weed optimization algorithm, non-smooth cost function, valvepoint effect. I. INTRODUCTION NE of the most important aspects of power system operation is its obligation to supply power to the customers economically [1]. Power system economic load dispatch is the process of allocating generation among the available generating units subject to load and other operational constraints such that the cost of operation is minimum [2], [3]. And now a day’s quality requirements of power utilities are so severe, that the operators have to sort out possible means of minimizing the production cost so as to offer the most competitive price to its customers. This has led to the adoption of system models and other operational constraints more analogous to real life situations. Traditional optimization techniques can never accurately model the system according to mathematical solutions [4],[5]. To solve the DED problem, it is assumed that a thermal unit