A dynamic economic emission dispatch considering wind power uncertainty incorporating energy storage system and demand side management

Alham, M.H.; Elshahed, Mostafa; Ibrahim, Doaa Khalil; Zahab, Essam El Din Abo El

doi:10.1016/j.renene.2016.05.012

Cited by 121 publications

(64 citation statements)

References 17 publications

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“…In [35], a dynamic economic emission dispatch (DEED) with ESS integration and a load side control program was proposed to analyze the costs, emission, and use of wind energy. The integration of these two solutions allowed for a greater integration of wind energy, and consequently minimized production costs and GHG emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

Scheduling Model for Renewable Energy Sources Integration in an Insular Power System

et al. 2018

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Insular power systems represent an asset and an excellent starting point for the development and analysis of innovative tools and technologies. The integration of renewable energy resources that has taken place in several islands in the south of Europe, particularly in Portugal, has brought more uncertainty to production management. In this work, an innovative scheduling model is proposed, which considers the integration of wind and solar resources in an insular power system in Portugal, with a strong conventional generation basis. This study aims to show the benefits of increasing the integration of renewable energy resources in this insular power system, and the objectives are related to minimizing the time for which conventional generation is in operation, maximizing profits, reducing production costs, and consequently, reducing greenhouse gas emissions.

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Section: Literature Reviewmentioning

confidence: 99%

Scheduling Model for Renewable Energy Sources Integration in an Insular Power System

et al. 2018

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“…Appliances are temporarily stopped when total running load exceeds the predefined limit, which restrict the load within a limit. Integration of wind energy with ESS is proposed in [28] to minimize carbon emissions. DR is implemented to reduce cost, carbon emissions and to increase utilization of wind energy.…”

Section: Related Workmentioning

confidence: 99%

An Intelligent Hybrid Heuristic Scheme for Smart Metering based Demand Side Management in Smart Homes

et al. 2017

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Smart grid is an emerging technology which is considered to be an ultimate solution to meet the increasing power demand challenges. Modern communication technologies have enabled the successful implementation of smart grid (SG), which aims at provision of demand side management mechanisms (DSM), such as demand response (DR). In this paper, we propose a hybrid technique named as teacher learning genetic optimization (TLGO) by combining genetic algorithm (GA) with teacher learning based optimization (TLBO) algorithm for residential load scheduling, assuming that electric prices are announced on a day-ahead basis. User discomfort is one of the key aspects which must be addressed along with cost minimization. The major focus of this work is to minimize consumer electricity bill at minimum user discomfort. Load scheduling is formulated as an optimization problem and an optimal schedule is achieved by solving the minimization problem. We also investigated the effect of power-flexible appliances on consumers' bill. Furthermore, a relationship among power consumption, cost and user discomfort is also demonstrated by feasible region. Simulation results validate that our proposed technique performs better in terms of cost reduction and user discomfort minimization, and is able to obtain the desired trade-off between consumer electricity bill and user discomfort.

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“…Stochastic programming is often combined with probabilistic model or fuzzy theory, which is also solved subjectively. Additionally, some scholars also handle the uncertainty of wind power using battery energy storage system (BESS) [25,26], electric vehicle (EV) [27,28], or demand side management (DSM) [29][30][31]. For example, in Reference [26], the charge/discharge loss costs of BESS are taken into account, and an optimization dispatch model based on fuzzy set theory is established.…”

Section: Introductionmentioning

confidence: 99%

“…In Reference [27], the authors use point estimation method based on Nataf transform to express uncertainties in wind power, and an economic emission dispatch model for power system containing wind farms and EVs is established. As for BESS and DSM, the authors in Reference [29] establish a dynamic economic dispatch model considering the intermittency and uncertainty of power system with high wind penetration. Although the volatility of wind power can be stabilized using these uncertain models, the investment and maintenance cost of BESS is high.…”

Section: Introductionmentioning

confidence: 99%

Multi-Time Scale Rolling Economic Dispatch for Wind/Storage Power System Based on Forecast Error Feature Extraction

et al. 2018

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This paper looks at the ability to cope with the uncertainty of wind power and reduce the impact of wind power forecast error (WPFE) on the operation and dispatch of power system. Therefore, several factors which are related to WPFE will be studied. By statistical analysis of the historical data, an indicator of real-time error based on these factors is obtained to estimate WPFE. Based on the real-time estimation of WPFE, a multi-time scale rolling dispatch model for wind/storage power system is established. In the real-time error compensation section of this model, the previous dispatch plan of thermal power unit is revised according to the estimation of WPFE. As the regulating capacity of thermal power unit within a short time period is limited, the estimation of WPFE is further compensated by using battery energy storage system. This can not only decrease the risk caused by the wind power uncertainty and lessen wind spillage, but also reduce the total cost. Thereby providing a new method to describe and model wind power uncertainty, and providing economic, safe and energy-saving dispatch plan for power system. The analysis in case study verifies the effectiveness of the proposed model.

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A dynamic economic emission dispatch considering wind power uncertainty incorporating energy storage system and demand side management

Cited by 121 publications

References 17 publications

Scheduling Model for Renewable Energy Sources Integration in an Insular Power System

Scheduling Model for Renewable Energy Sources Integration in an Insular Power System

An Intelligent Hybrid Heuristic Scheme for Smart Metering based Demand Side Management in Smart Homes

Multi-Time Scale Rolling Economic Dispatch for Wind/Storage Power System Based on Forecast Error Feature Extraction

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