Price Based Unit Commitment Problem Under Deregulation
نویسنده
چکیده
The profit based unit commitment problem involves determining the time intervals at which a particular generating unit should be online and available for generation, and the associated generation or dispatch, the aim being to maximize its total profits based on a given price profile. This problem can be attacked by various techniques like single unit dynamic programming, lagrangian relaxation, genetic algorithm; particle swarm optimization etc. this paper describes how a dynamic programming optimization method is used to solve this complex optimization problem. All the usual unit constraints like minimum up time, minimum down time, and ramp up, ramp down limits are considered, after which results for the chosen 26 generating units are presented, and discussed.
منابع مشابه
A practical approach for profit-based unit commitment with emission limitations
This paper proposes a practical approach for profit-based unit commitment (PBUC) with emission limitations. Under deregulation, unit commitment has evolved from a minimum-cost optimisation problem to a profit-based optimisation problem. However, as a consequence of growing environmental concern, the impact of fossil-fuelled power plants must be considered, giving rise to emission limitations. T...
متن کاملStochastic Electric Power Generation Unit Commitment in Deregulated Power Market Environment
Utilities participating in deregulated markets observe increasing uncertainty in load (i.e., demand for electric power) and prices for fuel and electricity on spot and contract markets. This study proposes a new formulation of the unit commitment problem of electric power generators in a restructured electricity market. Under these conditions, an electric power generation company will have the ...
متن کاملA Hybrid Genetic Algorithm Based Lagrangian Relaxation Approach for Profit Based Unit Commitment Problem
In this paper an application of a combined method for the profit based unit commitment problem (PBUC) using Genetic Algorithm and Lagrangian Relaxation (LR) is presented. The algorithm is proposed to solve PBUC under deregulated environment with the objective of maximizing GENCO’s profit and minimizing the operating cost. The problem formulation of the unit commitment takes into consideration t...
متن کاملShort-term Price-based Unit Commitment of Hydrothermal GenCos: A Pre-emptive Goal Programming Approach
The solution of single-objective unit commitment problems for generation companies participating in deregulated markets may not directly be implementable mainly because of neglecting some conflicting secondary objectives arising from policy-making at internal/external environment. Benefiting an efficient multi-objective approach to improve the applicability of price-based unit commitment soluti...
متن کاملEnergy Scheduling in Power Market under Stochastic Dependence Structure
Since the emergence of power market, the target of power generating utilities has mainly switched from cost minimization to revenue maximization. They dispatch their power energy generation units in the uncertain environment of power market. As a result, multi-stage stochastic programming has been applied widely by many power generating agents as a suitable tool for dealing with self-scheduling...
متن کامل