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The estimation of customer interruption costs is a challenging task. Understanding the true economic impacts of unwanted power interruptions is a must for planning purposes and for the decision making on electric energy policies. All methodologies that have been adopted to analyze the problem have strong and weak points. This paper presents the outage cost estimations for the small and medium scale...
This paper proposed an economic dispatch scheme based on stochastic frame. Compared with conventional dispatch, the stochastic dispatch fully considers the variation of distributed load variations in the grid between dispatch intervals. The objective function of the stochastic dispatch scheme aims to minimize the distribution of fuel cost rather than a single value. Due to the stochastic analysis,...
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...
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,...
This paper proposes an optimal power flow (OPF) framework in presence of grid scale energy storage system(s) in electric grids. It evaluates the impact of centralized storage versus distributed storage in OPF framework. Proposed OPF formulation includes a detail storage model to asses it's loss of life and associated cost due to frequent charging and discharging. Storage devices are optimally used...
This paper proposes a hybrid quadratic programming and compact formulation method (HQPCF) to solve the nonconvex economic dispatch (ED) problem with prohibited operating zones (POZs) and network losses. Firstly, quadratic programming (QP) is utilized to solve the ED problem without POZs. Then a new constraint handling technique is presented to deal with the POZs limits. Based on QP and the proposed...
The reducing price of photo-voltaic systems and storage batteries suggests that it is possible for energy consumers to justify investment in Photo Voltaic (PV) / Battery distributed energy systems however systems size and potential gains are limited by power quality issues on low voltage circuits. This paper suggests an architecture where a large PV /Battery and external monitoring and control is...
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...
This paper studies the units' part-load characteristics of a CCHP-type microgrid and its effect on the economic dispatch of the system. Most of the system components like photovoltaics, storage battery, micro turbine, heat recovery steam generator, electric compression chiller and absorption chiller are modelled based on their part-load characteristics. A 0–1 mixed integer nonlinear programming(MINLP)...
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