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Achieving the required onboard serviceability of safety equipment at minimum cost is of interest to airlines. This paper addresses the integration of radio frequency identification (RFID) technology into aircraft maintenance programs to improve the economics of safety equipment inspections. A problem that airlines face, which is addressed in this article, is how to determine the frequency of scheduled...
This paper examines a proposal for the introduction of incentive based demand curtailment in the New Zealand Electricity market (NZEM). Today NZEM participants do not submit demand bids (except in pre-dispatch schedule) to the markets for energy and regulation reserve. Professional literature identifies demand response (DR) in a broad variety of uses. Such uses range across peak load management, transmission...
This paper presents an Improved Parallel Differential Evolution (IPDE) optimization algorithm based dynamic decomposed strategy to solving large economic dispatch (ED) with consideration of practical generators constraints. The migration operation inspired from Biogeography-based Optimization algorithm (BBO) is newly introduced in the parallel DE approach, thereby can effectively explore and exploit...
Economic load dispatch among thermal units is one of the most important problems in power systems operation. Usually so called equal marginal cost criterion is adopted to this calculation. Recently global trend of utilizing more and more renewable energy makes this problem more important than ever. In case of large penetration of fluctuating power sources such as PV or wind, thermal units might be...
Biogeography-Based Optimization (BBO) is a recently developed global optimization algorithm and has shown its ability to solve complex optimization problem. The convergence of original BBO to the optimum value is slow as it lacks the exploration ability. An Accelerated Biogeography-Based Optimization (ABBO) technique is proposed in this paper to solve economic load dispatch problem. In this paper,...
This Paper presents an Oppositional Biogeography-Based Optimization algorithm to solve complex Economic Emission Load Dispatch (EELD) problems of thermal power systems. Emission of NOx and SOx are considered for case studies. The proposed method is a modification over Biogeography-Based Optimization technique, designed to accelerate its convergence rate and to improve the quality of solution. This...
Microgrids are defined as an area of network that is capable of operating autonomously from the rest of the electricity system. They achieve this by containing enough energy resources to meet all incorporated electrical (and thermal) loads, and by coordinating control in order to meet the participants' aims, and afford adequate quality/reliability of power and heat supply. From an economic point-of-view,...
In this paper, we present a simple, distributed algorithm that adjusts the power-frequency set-points of generators to correct for generation and load fluctuations, and asymptotically achieves the lowest-cost power allocation among generators while driving the power imbalance exponentially to zero. In this algorithm each generator executes its own control law using only the power imbalance in the...
This paper presents the solution of environmental/economic dispatch (EED) problem by using a multiobjective bees algorithm (MBA) with clustering technique. EED problem is to minimize simultaneously the total fuel cost and environmental pollution of generation while satisfying various constrains. The MBA is modified from Bees Algorithm in order to solve EED problem through compromised fuzzy and clustering...
Cascading component failure can cause system-wide blackouts in power systems. Complex system analysis of the long term dynamics suggests that power transmission systems operate near a critical point. Here the effect of generator operation in a model for power systems is investigated. Two opposing methods of dispatching generators are compared. These two methods are to minimize and maximize the line...
This Paper presents a Biogeography-Based Optimization (BBO) algorithm to solve Non-convex Economic Load Dispatch (ELD) problems of thermal plants in a power system. The Proposed methodology can take care of economic load dispatch problems involving constraints such as valve point loading, ramp Rate limit and Prohibited Operating zone. Biogeography deals with the geographical distribution of biological...
Combined economic emission dispatch (CEED) involves the simultaneous optimization of fuel cost and emission objectives which are conflicting ones. The bi-objective CEED problem is converted into a single optimization problem by introducing price penalty factor (PPF). A new approach to the reserve constrained CEED based on shuffled frog leaping algorithm (SFLA) is proposed. The algorithm approaches...
This paper presents the application of bio-inspired artificial bee colony (ABC) optimization to constrained economic load dispatch problem. Independent simulations were performed over various systems with different number of generating units having constraints like prohibited operating zones and ramp rate limits. The performance is also compared with other existing similar approaches. The proposed...
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...
Electric power systems are extremely complex. Therefore, system operators and planners are faced with difficult problems, which are uncertainty of power system. Also, they have to obtain best efficiency with least cost of investment. Transmission network expansion planning (TNEP) vases on reliability, and considers economic aspect. This paper presents well-being method and cost-optimization method...
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...
With the organizational reform of electric power industry in our country day by day, and the market of generation side gradually maturing, the construction of ancillary services market was brought into schedule. As one of the most important ancillary services, AGC possesses certain competitiveness so far as its own characteristics and supply trend of the electrical network, and marketization is relatively...
This paper presents a method for environmentally constrained economic dispatch in power systems. Economic dispatch problem is basically an optimization problem where objective function may be highly nonlinear, non-convex, non-differentiable and may have multiple local minima. Therefore classical optimization methods may be trapped to any local minima and may not be able to reach the global minima...
Differential evolution (DE) is a powerful population-based algorithm of evolutionary computation field designed for solving global optimization problems. The potentialities of DE are its simple structure, easy use, convergence speed and robustness. However, the control parameters and learning strategies involved in DE are highly dependent on the problems under consideration. Choosing suitable parameter...
This paper presents a model for power systems operation planning that aims to maximizing the voltage stability margin and also the economic dispatch, formulated as a bilevel programming problem (BPP). The objective is to obtain a solution for the network operation planning that takes into account both technical and economical aspects. The bilevel model allows system operators to define different objective...
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