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With the augmented penetration of renewable energy, such as solar power and wind power, the electricity grids could be destabilizing due to the intermittent nature of renewable sources. In order to ensure power system reliability, robust optimization method is introduced to the energy schedule of micro grid system. This work presented a two-stage robust optimization method to calculate a numerical...
Unit commitment of microgrids faces new challenges as the integration of demand response programs and renewable generation increases. In order to address these challenges, robust optimization is utilized for quantifying the impact of demand response uncertainty on the unit commitment of microgrids in this paper. Uncertainties in both shiftable (pricebased demand response) and curtailable (incentive-based...
Concerning the realistic situation of power system in China, a novel unit commitment method is presented which takes comprehensive consideration for the coordinative operation of wind energy, demand response and thermal power. The proposed day-ahead scheduling scheme is aimed at practical utilization in current grid foundation. Particularly, this paper takes a practical consideration for the actual...
In this paper, wind-hydro plant's operational strategy is optimized for obtaining maximum profit. Energy is stored in a water reservoir, which is used accordingly, to maximize the operational profit. An hourly wind forecast of next 48-hours, is used to determine the usage of each component of power plant. Forecasted wind power is stochastic in nature, so two techniques, stochastic programing and Robust...
This paper aims at presenting the new 2-stage framework of Robust Optimization for Lean Supply Chain design under uncertainty by using the so-called Dual Lean Filter. First, we formulate one quantitative model of Fat Supply Chain in stable circumstance based on the six-performance drivers of Chopra and Meindl, (2013). Then, we propose one novel procedure called Forward Lean Filter in order to transform...
This paper presents a robust and optimal operation tracking Energy Management System (EMS) for Mobile Base Transceiver Station (BTS) Microgrid equipped with Battery, PV panels and Diesel Engine Generator (DEG) for unreliable grid. The contribution is particularly focused on minimizing the DEG fuel (with DEG ON/OFF frequency) at the time of power-grid outage (i.e. Blackout). The EMS is designed to...
In the deregulated electricity market, wind power producers (WPPs) are required to submit their generation profile in the day-ahead (DA) market. The consideration of uncertainties associated with price and wind power become crucial to facilitate decision making and risk hedging for WPPs. In this paper, a bidding strategy based on robust optimization is proposed under two trading floors, namely DA...
Electrical drive is the heart in many modern appliances, as well as industry equipment and systems. In order to achieve the best design objectives, such as high performance and low material cost, various deterministic optimization methods have been developed for optimal design of electrical machines, power electronic converters, and parameters of control algorithms. On the other hand, the final quality...
For a multi-objective optimization problem applied to the electric machine design, a new robust surrogate-assisted algorithm is proposed in this research. The proposed algorithm can find a robust and well-distributed Pareto front set rapidly and precisely for robust nondominated solutions by using a kriging surrogate model and an uncertainty consideration with worst case scenario. The outstanding...
A methodology for robust optimization based on a new formulation and an improved wind drive optimization algorithm is proposed. Numerical results on a case study are reported in order to validate its feasibility and merit in solving engineering design problems.
The paper considers UAV path following guidance system design. The main feature of this paper involves incorporating dynamics of the closed-loop system consisting of UAV with inner loop autopilot as structural components of the overall guidance system. The outer loop of the guidance system is the path following system using lateral acceleration control. In the majority of publications devoted to the...
Reducing the CAPEX and OPEX is a major concern for Telecom Operators (TOs): to this extent, Network Function Virtualization (NFV) has been considered a key aspect to virtualize network functions and push them to the NFV Infrastructure. Virtual Network Functions (VNFs) can be deployed as a set of components running on several cooperating Virtual Machines (VMs) inside modern data centers. As a consequence,...
This paper presents an algorithm for solving the Transmission Expansion Planning (TEP) problem when large scale wind generation is considered. Variability of wind speed and demand uncertainty are taken into account. The formulation includes the DC model of the network, and the obtained expansion plans minimize the investment, the load shedding and the wind generation curtailment. The mathematical...
This paper presents a robust optimization algorithm for scheduling the dispatchable units in a microgrid. Combined economic and environmental optimization problem with strict and soft operational constraints is formulated by Mixed Integer Linear Programming frame. Uncertainties coming from the forecasting error of renewable (RnE) and local load are processed by convex optimization procedure with affine...
Multi-Objective Optimization (MOO) problems might be subject to many modeling or manufacturing uncertainties that affect the performance of the solutions obtained by a multi-objective optimizer. The decision maker must perform an extra step of sensitivity analysis in which each solution should be verified for its robustness, but this post optimization procedure makes the optimization process expensive...
The stochastic nature of wind power brings about large ramp events and poor prediction accuracy, which challenges the secure operation of power systems. Several stochastic unit commitment and economic dispatch methods are proposed to handle the prediction error of wind power, but few of them have attended to the ramp events. Therefore, this paper elaborately discusses the necessities to account for...
This paper proposes a robust optimization method for the transmission expansion planning (TEP) while considering uncertainties of renewable energy and load via a multi-band uncertainty set formulation. In order to handle future uncertainty from renewable energy integration and demand fluctuation, robust optimization has been studied extensively to immune the transmission expansion plan against the...
The energy internet paradigm provides a platform to integrate and utilize multiple energy resources through advanced hardware interfaces, communication infrastructure and operational intelligence. In this paper, a robust energy management framework is proposed for dispatching multiple renewable energy resources including solar power, wind power and biomass generation, and flexible loads. In the framework,...
CO2 pipeline transportation systems are important for the carbon capture, utilization and storage (CCUS) process. In this study, a robust model is presented to minimize the levelized cost for the pipeline design, an improved parallel co-evolution genetic algorithm (GA) is provided to solve the formulated optimization problem. The proposed method optimizes the pipe diameter, wall thickness, inlet pressure...
We present two Mixed-Integer Linear Programming (MILP) models for a complete microgrid planning problem which consider uncertainties in the main input data (hourly solar irradiance, wind speed and electricity demand). The first model adopts a Two-Stage Stochastic Integer Programming (2SSIP) formulation with discrete scenarios, whereas the second model adopts a Robust Optimization (RO) formulation...
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