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System security in the generation market is one of the important aspects in power system operation under deregulated environment. It becomes more crucial when thermal power system is integrated with wind system. This paper presents an approach to determine the security constrained unit commitment (SCUC) for thermal units integrated with wind power system. A Lagrangian relaxation based algorithm with...
This paper proposes a new framework for the power system unit commitment process, incorporating generation flexibility requirements and environmental constraints into the existing unit commitment algorithm. The generation flexibility requirements are to address the uncertainty and variability associated with large amounts of intermittent resources as well as with load, which cause real-time balancing...
In response to the Kyoto protocol, the European Union (EU) introduced the Emission Trading Scheme (ETS), which adopts `cap-and-trade' market mechanism for CO2 emission trading. In this scheme, the emission allowances are allocated to each industrial installation and companies can buy and sell their allowances. In the electric power sector, the development of decision-making methods concerning emission...
In this paper, the Hybrid Genetic Algorithm-Ant Colony Optimization (GACO) approach is presented to solve the unit commitment problem, and comparison with the results obtained using literature methods by nuclear-grade Digital Instrumentation and Control (DI&C) simulation. Then this paper applied the ability of the Genetic Algorithm (GA) operated after Ant Colony Optimization (ACO) can promote...
This paper presents genetic algorithm method for unit commitment of thermal power plant. The optimum allocation of generations (for a given plant load) to different units of a plant is called unit commitment (UC). It can be easily shown that the optimal operation of the units at a thermal power station can be achieved when the incremental fuel cost (incremental cost) of all the units are equal. A...
In this paper, a new hybrid meta-heuristic method is proposed to solve a unit commitment (UC) problem with nonsmooth fuel cost functions effectively. The proposed method focuses on global optimization in a sense that a generation company need carry out the cost reduction under competitive environment. The proposed method integrates parallel evolutionary particle swarm optimization (PEPSO) with variable...
This paper proposes a new hybrid meta-heuristic method for profit-based unit commitment (PBUC) that considers units with nonlinear cost function. The proposed method aims at global optimization to carry out profit maximization under competitive environment. The objective of the traditional UC is to minimize operation-cost while satisfying the constraints. However, power system operation needs reformulate...
Real power generation dispatch and scheduling become a kind of multi-objective decision problems when fuel costs and emission are needed to be minimized simultaneously. These objectives are usually conflicting. Based on the concept of ideal point, generation dispatch model and generation scheduling model with fuel and emission minimized simultaneously are formulated. It is accomplished by constructing...
In the modern competitive electricity supply industry, there is a renewed interest in algorithms that can provide fast and optimal solutions for savings in operation costs. A novel methodological strategy incorporating the priority list is proposed to provide efficient solutions. Thus, we call the proposed method as methodological priority list (MPL) method. The MPL is simpler and more efficient than...
This paper presents a new approach with Muller method for solving profit based unit commitment (PBUC). In deregulated environment, the generation companies (GENCOs) schedule their generators to maximize their profit rather than satisfying the power demand. While solving the PBUC problem, the information of forecasted price at the given predicted power demand is known. The PBUC problem is solved by...
The paper proposes a unit commitment problem formulation which models combined pool/bilateral operation as well as effects of emissions constraints and emissions trading mechanisms. In here proposed model, power outputs of generators are, on one hand, bounded by their bilateral contract commitments, and on the other side, by the amount of CO2 emissions that they are allowed to produce over time. These...
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