[Show abstract] [Hide abstract] ABSTRACT: Generator Maintenance Scheduling (GMS) problem in a vertically integrated electric utility system is considered in this paper. The cost and reliability objectives are included in the problem formulation. The GMS is formulated as a non linear, heavily constrained multi-objective optimization problem and the non dominated solutions are obtained using multi objective hybrid integer coded differential evolution (MOHDE) algorithm. To attain the best compromise non dominated solution between cost and reliability, fuzzy based mechanism has been used in MOHDE. In this paper, fuzzy clustered multi objective hybrid differential evolution (FC-MOHDE) is proposed for solving thermal generator maintenance scheduling. To validate the performance of the proposed algorithm, two systems having 4 and 22 generating units are considered. The test results confirm the superiority of the algorithm in determining the best compromise solution for the multi objective GMS problem.
- "If the value of the membership function is 1, the solution is said to be fully satisfied. For an unsatisfied solution, its value becomes zero . The two objectives described in the previous text are fuzzified as follows "
[Show abstract] [Hide abstract] ABSTRACT: In this paper, Stochastic Economic Load Dispatch (ELD) problem with multiple fuels is solved using Improved Particle Swarm Optimization (IPSO). Generally, ELD problem is solved using deterministic models, but data required for such studies are rarely available with complete certainty. So uncertainties in unit’s generation, load demand and cost coefficients should be considered to get actual scenario. Thus, stochastic model for ELD problems is more suitable than deterministic model from the utilities point of view. ELD problem with deterministic model is first solved using IPSO to examine the effectiveness of the proposed method. Then IPSO is applied for ELD problem with stochastic model to investigate the real generation cost.
- "The typical formulations of power generation scheduling problems are considered to be deterministic, as these are assumed disturbance free and accurate (Dhillon et al., 1993). But, this assumption is not appropriate for practical applications, as uncertainties is available everywhere due to inaccuracies in the process of measuring and forecasting of input data and changes of unit performance during the period between measuring and operation. "
- "However, the approach provided only weakly non-dominated solution and that too in considerably large time. The economic emission dispatch is solved by weighted min–max approach along with risk in expected power deviations as third objective . The EED problem with line flow security constraint is solved by weighted sum method in  to convert the multiobjective EED problem in single objective optimization problem. "