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The conventional economic dispatch problem in electric power generation is mainly concerned with minimizing operating cost. This study presents a multiple PSO algorithm of solving the multi-objective power dispatch problem that minimizes both the fuel cost and environmental impact from emission. An integrated factor is used to combine the multiple objective functions. The PSO method and a distance...
This paper proposes a version of fuzzy controlled parallel particle swarm optimization approach based decomposed network (FCP-PSO) to solve large nonconvex economic dispatch problems. The proposed approach combines practical experience extracted from global database formulated in fuzzy rules to adjust dynamically the three parameters associated to PSO mechanism search. The adaptive PSO executed in...
This paper presents a fuzzy controlled parallel particle swarm optimization approach based decomposed network (FCP-PSO) to solving the large economic power dispatch with non-smooth cost fuel functions. The proposed approach combines practical experience extracted from global database formulated in fuzzy rules, the adaptive PSO executed in parallel based in decomposed network procedure as a local search...
This paper proposes a new method for solving economic dispatch problems in electrical power systems through the application of multithread programming. Multi-Thread Interior Point Barrier Algorithm, an efficient quadratic programming algorithm, is used to solve economic dispatch problem. The barrier algorithm also caters for any combination of polynomial functions such as polynomial cost functions...
This paper presents an optimized stochastic formulation for the economic dispatch problem of power system including wind power based on both short-term and long-term behaviour of the wind speed and wind power in a specific area. And according to the formulation, a multi-objective optimization formula is given to be used in the economic dispatch problem. The multi-objective optimization problem applies...
Negotiation of secure bilateral transactions has become an important issue for better operation, planning and management of competitive electricity markets. In this paper, secure bilateral transactions have been determined with minimum deviations in economic generation schedule and real power losses for hybrid electricity markets. The generation pattern and real and reactive power loss has been obtained...
This paper proposes a simple, yet rigorous, model for MW dependent ramp rates. The model is formulated as mixed linear integer constraints, and is appropriate for Unit Commitment and multi-interval dispatch formulations used by Independent System Operators (ISO) and self-scheduled generators in electricity markets. 5-bus examples are used to demonstrate the value of the proposed model, as it guarantees...
Economic power dispatch problem plays an important role in the operation of the power systems. It is a method of determine the most efficient, low cost and reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. The primary objective of economic dispatch is to minimize the total cost of generation while maintaining the operational...
This paper presents an improved parallel particle swarm optimization approach (IPPSO) based decomposed network for economic power dispatch with consideration of practical generator constraints. The range of partial power demand corresponding to the partial output powers near the global optimal solution is determined by a flexible decomposed network strategy and then the final optimal solution is obtained...
This paper proposes a current distribution theory based on classical circuit theory. According to interface power flow, the distribution current from source to branch circuit can be clarified by using current distribution factors through network structure parameter. This method is conducive to economic dispatch and power flow analysis. Besides, this paper proves that kcl of the electricity network...
It is an important measure to carry out energy-saving power generation scheduling in China to achieve energy saving. And how to implement policies of energy-saving emission reduction and to realize coordinated and orderly scheduling has become an important topic to the network operator. Based on the basic model of economic dispatch and energy-efficient power generation scheduling rules, the multi-objective...
This paper proposes an improved approach based on conventional particle swarm optimization (PSO) for solving an economic dispatch(ED) problem with considering the generator constraints. The mutation operators of the differential evolution (DE) are used for improving diversity exploration of PSO, which called hybrid particle swarm optimization - differential evolution (PSO-DE). The mutation operators...
To deal with the uncertainty in the demand and the lack of compliance from generators to follow instructions, Independent System Operators (ISO) evaluate commitment and dispatch solutions for different demand scenarios (low, medium and high). A robust dispatch algorithm that guarantees the ??reach-ability?? of the low and high demand scenarios from the medium demand dispatch is proposed in this paper...
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...
This paper presents an Efficient and Reliable Particle Swarm Optimization (RPSO) method for solving the Optimal Power Flow (OPF) of large distribution system solution for Combined Economic Emission Dispatch Problem (CEEDP).The objective is to minimize the total fuel cost of the generating units having quadratic cost characteristics subjected to limits on generator True/Active /Real and Reactive Power...
This paper proposes a new evolutionary approach named as multi agent particle swarm optimization (MAPSO) algorithm for solving economic dispatch with security constraints (line flow and bus voltage). This method integrates multiagent systems (MAS) and particle swarm optimization (PSO) to form a new algorithm, multiagent particle swarm optimization algorithm. In MAPSO, an agent represents a particle...
This paper deals with the economic dispatch problem in a microgrid to provide the optimal power reference of distributed generators. The objective function and the constraints related to the operation of the microgrid are formulated and the solution method for the problem is introduced. The constraints for this problem include i) additional reserve requirement due to the uncertainty in the output...
This paper presents potential benefits of applying model predictive control (MPC) to solving the multi-objective economic/environmental dispatch problem in electric power systems with many intermittent resources. Based on the predictive model of the available output in the next short time period (e.g. 5 minutes) from the intermittent resources, this paper introduces a look-ahead optimal control algorithm...
This paper presents generator maintenance scheduling (GMS) and economic dispatch (ED) of the Indonesian power system based on minimization of an economic cost function for the economical and reliable operation of a power system, while satisfying crew/manpower, maintenance window, load demand, generation limits and spinning reserve constraints. Differential evolution (DE), an evolutionary computation...
Along with the growing energy consumption of modern society, the environmental protection of power system becomes more important. In this paper, the environmental impacts on thermal power plants are considered in optimal power flow, and a new method to determine the weight of objective function is proposed. Thermal power plant's geographical location, weather conditions and the impact of population...
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