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This paper discusses the analytical and computational challenges of various sub-gradient and cutting plane methods applied to updating Lagrangian multipliers associated with the Security-Constrained Unit Commitment problem. Large-scale testing systems are used to demonstrate the effectiveness of the different algorithms.
This paper presents new optimization approach involving a modified Bacteria Foraging Algorithm (BFA) applied to economic load dispatch involving wind energy conversion systems (WECS). The approach utilizes the natural selection of global optimum bacterium having successful foraging strategies in the cost function including the factors of overestimation and underestimation of available wind energy...
Ant Colony Optimization (ACO) is more suitable for combinatorial optimization problems. This paper proposes Genetic Evolving Ant Colony Optimization (EACO) method for solving unit commitment (UC) problem. The EACO employs Genetic Algorithm (GA) for finding optimal set of ACO parameters, while ACO solves the UC problem. Problem formulation takes into consideration the minimum up and down time constraints,...
This paper proposes a probabilistic unit commitment (UC) formulation to incorporate uncertain PV power or other intermittent energy sources using stochastic programming framework. The objective of this problem is to minimize the expected total cost during the decision time range. The proposed method is implemented to a small 9-bus test system using CPLEX and MATLAB. Several case studies are performed...
Microgrids are low voltage intelligent distribution networks comprising various distributed generators, storage devices and controllable loads which can be operated as interconnected or as islanded system. The optimal generation scheduling is one of the important functions for the Microgrid operation. This paper describes a three-step efficient method for the optimal generation scheduling of a Microgrid...
For every state utility in India, along with state owned generation there are two major sources of power available to fulfill the load demand. They are, Central Govt owned generation i.e. central sector generation and power purchased from power trading market. For optimum scheduling, additional sources of power need to be incorporated in the generation scheduling algorithm, along with their individual...
This paper presents an effective method of congestion management in power systems. Congestions or overloads in transmission network are alleviated by generation rescheduling and/or load shedding of participating generators and loads. The two conflicting objectives 1) alleviation of overload and 2) minimization of cost of operation are optimized to provide pareto-optimal solutions. A multiobjective...
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