Abstract:Generation dispatch decision making integrated into a centralized wholesale electricity market has been always a challenging concern for transmission system operators and has progressively received significant attention in recent years. The reason lies mainly in the complex and highly-interconnected structure of the grid, escalated demand, and the crisis of the amount and price of energy. For the dispatch solutions to be highly reliable with an acceptable level of accuracy, several factors of notable importance need to be well taken into account, among which one can mention the valve-point effect, multiple fuel options and disjoint prohibited zones, up/down ramp rate requirements of generating units, as well as the spinning reserve constraints which, in turn, intensify the non-smoothness, nonconvexity, non-linearity, and dynamic restriction of such combinatorial hard problems. This paper proposes a new optimization toolset for the bi-objective multi-area economic dispatch problem to determine the transmission interface power flow and power output of generating units while satisfying system demand and security constraints at each area. The proposed architecture builds upon an improved gradient-based Jaya algorithm to generate a feasible set of Pareto optimal solutions corresponding to the operation cost and fuel combustion emission calculated through a new robust bi-objective gradient based method. The projected algorithm is proved to be capable of finding the robust global or near-global Pareto solutions fast and accurate.Keywords: Bi-objective gradient-based technique; economic dispatch; environmental; heuristic; improved Jaya algorithm, optimization.
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obj, tObjective function and time step indices, respectively. Disjoint prohibited zone (DPZ) index.
B. Constants, , ,
TiePower flow from area k to k' at time t.