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In this paper, we investigate two decomposition methods for their convergence rate which are used to solve security constrained economic dispatch (SCED): 1) Lagrangian Relaxation (LR), and 2) Augmented Lagrangian Relaxation (ALR). First, the centralized SCED problem is posed for a 6-bus test network and then it is decomposed into subproblems using both of the methods. In order to model the tie-line...
This paper discusses a hybrid electricity system (HES) for off-grid residential use, based on wind, photovoltaic (PV), battery storage systems, and a generator, using a house in Wellington as a case study. The HES is developed to adequately manage an average daily demand of about 10kWh for lighting, TVs, refrigerators, DVD players, computers etc., excluding cooking, hot water and heating appliances...
Unit Commitment and Economic Dispatching are the most important part of every plant-planning project. Unit Commitment is the problem that searches the economical way for power generation, when the power consumption and altered constraints of the power plants are considered. In addition, economic dispatch as the process of power plants to produce energy at the lowest cost to satisfy consumers and considering...
In this paper, we present a case study of the economic prospects of having renewable integration with storage in the district of Temburong in Brunei. Temburong has a microgrid consisting of diesel generators (DGs) with a peak demand in excess of 6 MW. It is forecasted that the peak load will be more than 10 MW by 2020. The inherent advantages of renewable energy motivates us to study the use of available...
There is a global trend of deploying distributed grid scale storages in power systems for specific applications like, renewable integration, peak load management, congestion management, etc. Due to high capital investment, return on investment (ROI) for grid scale storage for any specific application is not lucrative enough for investors. However, if these storages are used across multiple applications,...
The proposed improved bees algorithm (IBA) finds a trustworthy solution to the dynamic economic dispatch (DED) problem considering the prohibited operating zones. Additional techniques such as constraint handling, adaptive patch size, and limited search space are integrated with general bees algorithm, making significant improvement in the overall performance of the proposed technique. The DED problem...
Demand response (DR) emerges as one of the cheapest and greenest solutions to match supply and demand in the electricity sector. While DR has been focused on large and industrial consumers, pervasive implementation (by including residential consumers) is needed to maximize its potential. This paper presents theoretical analysis of pervasive, incentive-based DR from the economics perspective. Our analysis...
In this work, we model a low-power microgrid based on the distribution grid of the University of Nariño, Colombia. The model includes photovoltaic, wind, microturbines, and fuel cell generators to satisfy the demanded power in the campus, according to measured demand profiles in the low voltage side. The design and simulation are performed in SimPowerSystems simplifying the low-level controllers to...
The integration of variable generation to power systems has led to a revision of ancillary service definitions. In the case of secondary frequency control, these concerns are related with the dimensioning of reserves to cope with variability and uncertainty, and, ultimately, with the compliance with performance standards. One of such a performance standards used in North America is the Control Performance...
This paper considers the non-convex Economic Dispatch Problem (EDP) with power losses, prohibited operating zones, and generation cost functions modeling both valve-point loading effects and multiple fuel options. This constrained problem is stated as an unconstrained problem by using the augmented Lagrange formulation, while introducing Lagrange multipliers and penalty parameters. Then, a genetic...
Energy storage systems integration with large-scale PV power plants, named Intelligent PV power plant (IPV), could contribute to improve the viability of these plants and to provide ancillary services to the main grid. The number and extension of the provided services depend not only on the size of the storage system, but also on the manner how this storage system is managed. In this paper the market...
Modeling and predicting the exercise of market power is an important problem for modern electricity markets. A change in the generation mix and an evolvement of bidding procedures give ascent to a variety of new types of strategic behavior involving elaborate strategies with unconventional strategic variables. In this paper we show how it is important to consider all parameters of the bid to perform...
Static economic dispatch is confronted with difficulties to dispatch expensive peaking plants and ramp limited resources within required time frame due to increasingly volatile system conditions. An upgrade of current dispatch algorithm into a dynamic frame is proposed to solve this issue. Simulations verify that the dynamic dispatch will not only improve unit scheduling but also prevent producers...
The natural generalization of classical polynomials are the pseudo-polynomials and the pseudo-polynomials with interval coefficients too. The main topic of this paper is the g-integration of special functions, i.e. the g-integration of pseudo-polynomials.
Hybrid renewable energy systems shows a great potential for electricity generation in Bangladesh. Hybrid renewable energy system can be set up such a way that the electricity will add to national grid connection and it will eventually reduce the pressure of electricity demand from national grid. Abundance of renewable energy sources in the form of solar energy provides opportunities of renewable energy...
Achieving supply demand balance in power systems requires controllable energy storage. The primary sources of controllable storage are the fuel stockpiles at generators (i.e. gas, coal, water, etc.). There is increasing interest in alternative forms of storage due to factors such as the continuing increase in intermittent energy generation sources, concerns with increasing network costs and demand...
In this paper, a fully distributed algorithm is proposed for the economic operation of the distribution grid. This is required in order to balance local generation and loads at parts of the distribution networks, in order to reduce flows in the upstream networks. The algorithm utilizes a population dynamics approach to solve the economic dispatch problem in a distribution network with increased penetration...
This paper proposes a Hybrid Cuckoo search algorithm to solve Multi-area economic dispatch problem (MAED). Hybrid Cuckoo search algorithm is a combination of the Cuckoo search algorithm and Teaching-learning-based optimization, where the learner phase of TLBO is added to improve performance of Cuckoo eggs. The proposed method has been applied for solving three tested cases of Multi-area economic dispatch...
Networked markets typically operate on multiple time scales. For example, electricity markets are split into slow timescale economic dispatch and fast timescale frequency regulation markets. Nevertheless, the different time scales are typically viewed as fundamentally different problems and hence are studied separately. In this paper, we frame and study a joint problem that optimizes both slow and...
In a deregulated power system, energy prices throughout the network will be characterised and depending on the existence of transmission constraints. As power flow violates transmission constraints, redispatching generating units is required and this will cause the price at every node to vary. This manuscript introduces a scheme for economic redispatch model based on DC optimal power flow taking into...
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