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Economic load dispatch (ELD) is an important optimization task in power system. It is the process of allocating generation among the committed units such that the constraints imposed are satisfied and the energy requirements are minimized. There are three criteria in solving the economic load dispatch problem. They are minimizing the total generator operating cost, total emission cost and scheduling...
The major concern of the power system utilities is to not only deliver high quality power supply to the end users but to do it with minimum possible fuel cost and emission levels. Combined Economic Emission Dispatch (CEED) is a way to compute the optimal generation of the power system by minimizing the fuel cost and emission levels simultaneously. The CEED is a multi objective problem and in general...
The United States Marine Corps (USMC) utilizes Forward Operating Bases (FOBs) which employ multiple generation units, primarily powered by JP-8 (similar to diesel fuel). It is often true that logistical support to deliver fuel is both expensive and dangerous. On the other hand, the generation units deployed by USMC range from 2 KW to over 200 KW, with very different input-output characteristics. In...
The objective of the economic dispatch problem of electrical power generation is to schedule the committed generating unit's output so as to meet the required load demand while satisfying the system equality and inequality constraints. This paper solves the combined economic emission dispatch problem by using Min-Max and Max-Max price penalty factor approaches using Lagrange's method. The price penalty...
Pollution of the power plant has caused harmful environmental effects due to the emission of greenhouse gas. The pollution can be reduced by adjusting the real power outputs of different power plants. However, the relocation of real power outputs results an additional outlay in the system. In order to eliminate the conflict between the cost and emission, an optimal power flow is introduced in this...
This paper presents a multiobjective particle swarm optimization based on differential evolution (IMOPSO-DE) algorithm for environmental/economic dispatch (EED) problem. The algorithm adopted differential evolution to increase the diversity of the Pareto set. Circular crowded sorting approach helped to generate a set of well-distributed Pareto-optimal solutions in one run. The global best individuals...
The main goal of Economic Dispatch (ED) in power systems is to distribute the total required generation between the generation units economically, while the equality and inequality constraints are satisfied. The conventional economic dispatch cannot satisfy the environmental protection requirements, since it only considers minimizing the total fuel cost. In this paper, a novel Multi-objective Modified...
The Harmony Search (HS) algorithm was originally conceptualized using the musical improvisation process of searching for a perfect state of harmony. The HS algorithm uses a random search, which is based on random selection, memory consideration, and pitch adjusting. This paper proposes a modified HS approach combined with differential evolution and chaotic sequences to solve the economic load dispatch...
Optimal Power Flow (OPF) is an effective tool for dispatch planning of power systems, and the algorithms aiming to solve the OPF have been widely studied. Among these algorithms, the Evolutionary Algorithms (EAs) are a popular type, which have been investigated. However, EAs are also notorious for the intensive computation caused by a large amount of evaluations of the objective function required...
Dynamic economic load dispatch is an extension of the conventional static economic load dispatch which takes into account the ramp rate of generating units. This paper proposes a dynamic economic load dispatch method based on the feasible operation region approach. The region defines how generating units may change their outputs in order to match a demand profile. It is defined by physical and ramp...
A new class of meta-heuristics called SOMA (Self-Organizing Migrating Algorithm) was proposed in recent literature. SOMA works on a population of potential solutions called specimen and it is based on the self-organizing behavior of groups of individuals in a ??social environment??. This paper proposes a modified SOMA approach to solving the economic load dispatch problem of thermal generators with...
This paper presents a modified particle swarm optimization (MPSO) algorithm for solving the optimal power flow (OPF) problems. The main distinction of this approach is in using particlepsilas worth experience in stead of the best previous experience. The proposed approach is evaluated on the IEEE 30-bus test system which minimizes the total fuel cost considering operational constraints such as power...
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