The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This study explores the management of a system of multiple interconnected microgrids in a loop configuration. To facilitate renewable integration and reduce the cost of operation, an economic dispatch model of the distributed energy resources (DER) with dynamic update of the states of the energy storage systems (ESS) to handle the forecasting error in the photovoltaic (PV) power output is developed...
The design of electrical systems with renewable and conventional in-house generation involves economic, environmental and technical aspects. Often these instances are conflicting: conventional sources have lower Capex and good controllability, while renewable sources have lower Opex and are environmentally friendly but often present erratic behaviors. For these reasons, the best design solution is...
Economic load dispatch (ELD) is one of the main tools for optimal operation and planning of modern power systems. To solve effectively the ELD problem, most of the conventional calculus methods rely on the assumption that the fuel cost characteristic of a generating unit is a smooth and convex function, resulting in inaccurate dispatch. This paper presents the design and application of a new efficient...
The economic dispatch problem (EDP) is of vital importance in the operation and planning of power systems. In this paper, we study the EDP with general cost functions, transmission losses and prohibited operating zones. The equality constraint of the EDP is nonlinear due to transmission losses, while the feasible region is discontinuous due to prohibited operating zones, meaning that the EDP is a...
One of the main issues that still emerging as the most complex fundamental problems in power system operation is Economic dispatch (ED). This paper presents the application of Fruit Fly Optimization (FFO) algorithm technique for solving ED problem. The FFO algorithm is applied to minimize the cost of generating units by allocating the most optimum value of real power for a specific generating unit...
Economic dispatch is considered as one of the critical advancement errand and operational choice which gives a financial condition to control framework. The principle emphasis of economic dispatch is the means by which a power system network can be arranged with the goal that we have minimum cost of electric generation to take care of the load demand, while meeting all the balance and imbalance constraints...
This paper studies the problem of distributed economic dispatch for smart grids under heterogeneous time delays. We design a state predictor for each agent to compensate the effect of heterogeneous time delays. This predictor allows the agents to predict the missing states between two consecutive update times. Based on the predictor, we propose a distributed gradient-descent algorithm to locally update...
In this paper, a dynamic economic dispatch problem (DEDP) which considers the benefit function, environmental cost function and fuel cost function is studied by the distributed strategy. We propose a distributed algorithm based on undirected graphs and alternating direction method of multipliers (ADMM). Firstly, the DEDP is decomposed into three minimization steps to solve according to ADMM. Secondly,...
In this paper, based on minimum-time consensus, a distributed algorithm is proposed to solve economic dispatch problem (EDP). Firstly, The EDP is transformed to the average consensus problem and the ratio consensus protocol is utilized to address the average consensus problem over unbalanced directed topology. The proposed algorithm is implemented in a fully distributed fashion without using any global...
Communication bandwidth inconsistency between traditional secondary control and tertiary control may decrease the economic efficiency of a microgrid. To solve the problem, this study proposes a fully distributed cooperative strategy in secondary level to minimize the operation cost in an AC microgrid and achieve the synchronization of the voltage and frequency. The proposed strategy is based on the...
This article proposes an analysis of the technical and economic feasibility of a Clean Development Mechanism (CDM) project for the generation of electricity through the use of biogas from landfill through the use of microturbine technology. In order to obtain the baseline and project scenarios, the methodology ACM-0001 was used, which is specific for the use of landfill biogas. For the economic viability...
The economic operation of islanding microgrids is getting more and more attention. In view of the problems of information burden and high cost of communication, poor expansion in the centralized control, a fully distributed optimization method for the economic operation of islanding microgrids is proposed. The proposed method is decentralized based on the Gossip algorithm, in which only through exchanging...
Smart-grids are currently of great social and scientific interest. For certain social actors, they have generated a great deal of expectation. There are several aspects to take into account when advocating for a universal implementation of smart-grids. Here we concentrate in their possibilities regarding the co-evolution between technical integration and social interaction. We propose a framework...
This paper investigates the potential of minimax-cost and minimax-regret approaches for centralized & determinative transmission expansion planning under uncertainty regarding market-based generation expansion, particularly when the times needed to implement transmission facilities are longer than those required to build renewable generators. The approaches can deal with non-probabilistic uncertainties...
This paper analyzes the impacts of using distribution-level locational marginal prices (DLMPs) as a basis for valuing generation connected to low-voltage distribution feeder systems. The consistency between economic signals embedded in DLMPs and the impacts of distributed generation (DG) on the operation of low voltage grids is analyzed. We investigate how the revenues captured by DG agents connecting...
In this work, an analysis of grid parity for residential and commercial photovoltaic generators in an important city of Argentina is presented. The analysis includes installation costs, levelized costs of photovoltaic energy, grid electricity price and incentive programs that promote the insertions of those generators in low demand users. A specific analysis on the economic viability of low power...
This paper proposes the Self-learning Cuckoo search algorithm to solve Multi-Area Economic Dispatch problems. The main objective of multi-area economic dispatch is to minimize the total fuel cost while satisfying balanced-power constraint in each area and limitations of generators and transmission lines. In addition, the proposed method is an improvement of the Cuckoo search algorithm with a new strategy...
In microgrid, the traditional centralized control strategy is a convenient way to realize system control and schedule, but it is completely dependent on communication which reduces the reliability of system, and plug and play is difficult to be realized for the distributed generator (DG). In order to overcome these challenges, this paper proposes a distributed control strategy based on multi-agent...
Motivated by broad applications in various fields of engineering, we study network resource allocation problems where the goal is to optimally allocate a fixed portion of resources over a network of nodes. In these problems, due to the large scale of the network and complicated interconnections between nodes, any solution must be implemented in parallel and based only on local data resulting in a...
Multi-area economic emission dispatch problem provides an optimal schedule for active power of generators and interchange active power between different areas by considering the operational limitations such as balance between generation and consumption, tie-line capacity limitation, generators output constraint, and transmission losses. In this paper, a hybrid method based on shuffled frog leaping...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.