A hierarchical multi-resolution agent-based modeling and simulation framework for household electricity demand profile

Mahmood, Imran; Quair-tul-ain,; Nasir, Hasan Arshad; Javed, Fawad; Aguado, José A.

doi:10.1177/0037549720923401

Cited by 19 publications

(18 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…M&S allows us to replicate a real-world system for risk-free dynamic experiments, which are otherwise impossible, dangerous or costly as well as time-consuming. ABM is a paradigm meant for abstracting the structure, behavior and the interactions of the entities of a complex real system, in the form of small, reproducible units known as agents (Mahmood et al, 2020a). The collection of these modeled agents is viewed as a composed model to assess their emergent effect on the system as a whole (Taylor, 2014).…”

Section: Agent-based Modeling (Abm)mentioning

confidence: 99%

“…Paula et al (Hansen et al, 2018) identify the research gap in the literature on agent-based modeling and energy transitions; based on an extensive review, the potentials of the agent-based modeling in energy transitions is divided into six areas covering different components of the energy system. Mahmood et al (2020a) present an extensive review on a wide range of agent-based models that are used in simulating the demand and supply of energy at various resolutions. Furthermore they present a hierarchical, multi-resolution Agent Based Modeling and Simulation Framework for simulation long term energy Demand at residential level (Mahmood et al, 2019).…”

Section: Agent-based Modeling Frameworkmentioning

confidence: 99%

“…It is therefore important to know about the plant's productivity before installing it (Guo et al, 2020). Hence, a prerequisite is to build a greater confidence in the engineering design before implementation, through the use of modeling and simulation (M&S) techniques (Fujimoto et al, 2017;Mahmood et al, 2019Mahmood et al, , 2020a.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling, simulation and forecasting of wind power plants using agent-based approach

Mahmood

Mobeen

Rahman

et al. 2020

Journal of Cleaner Production

Self Cite

View full text Add to dashboard Cite

National economy and growth rely heavily on electricity but rapid urbanization, expeditious industrialization and increased domestic use due to population growth are among the reasons for the severe energy crisis in developing countries. The extended demand-supply gaps, depleting reservoirs of fossil fuel, and the environmental hazards altogether ignite the need for wider adoption of renewable energy resources for electricity generation. A functional assessment of the engineering design for this transition is a prerequisite before proceeding to on-ground implementation due to its high impact on system sustainability. To this end, we propose an agent-based modeling and simulation framework for the rapid prototyping of wind power plants. The proposed approach abstracts active components of wind power plants using agents and implements their dynamic behavior through agent interactions. The proposed model helps in composing different model components, design valuation, and forecasting energy generation in a cost-effective and productive manner. The proposed model is demonstrated by conceptualizing the design of the Foundation Wind Energy plant, located at Sindh, Pakistan, and the development of its agent-based model. The obtained short-term and long-term electricity generation profiles are validated with the actual data. We further compared the forecasts with the time series analysis performed on the actual data, using five different time-series forecasting models. The proposed simulation model and time series analysis model fit well on the actual data with a root mean square deviation of approximately 9 MW. The proposed framework will assist the policymakers in estimating the extent of electrical energy produced at given conditions using the wind potential available at the corridors of any country. It will further aid in the realistic analysis of the future dynamics of electricity demand and supply, hence help in effective energy planning.

show abstract

Section: Agent-based Modeling (Abm)mentioning

confidence: 99%

Section: Agent-based Modeling Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

Modeling, simulation and forecasting of wind power plants using agent-based approach

Mahmood

Mobeen

Rahman

et al. 2020

Journal of Cleaner Production

Self Cite

View full text Add to dashboard Cite

show abstract

“…The inlets and outlets of main components of the rankine cycle are compared in table 5. According to [21], to match the achieved simulated results with the actual data for the purpose of validating the proposed model, results of root mean square error (RMSE), coefficient of variance of RMSE, mean absolute deviation (MAD) and mean absolute percentage error (MAPE%) are calculated with eq. (18), eq.…”

Section: Figure 12: Electrical Power Generation In Mega-watts Over Timentioning

confidence: 99%

“…System simulation aid in energy planning which plays an important part in the modern electrical system. Energy planning helps relevant authorities to make sure the best possible and optimal generation and consumption of electrical power [21]. Conventional electrical power system was somehow a predictable system due to its linearity but with the integration of intermittent energy sources, the modern electrical system has become very complex due to fluctuations.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Heat Flow Study of a Thermal Power Plant Using OpenModelica

2020

Self Cite

View full text Add to dashboard Cite

With the integration of intermittent energy sources in the power system, the main focus of thermal power plant design is to optimize the conventional system by improving efficiency and flexibility of power generation in the start-up and base-load procedures. This paper focuses on the behavior of thermal power generation with respect to load variations, fuel variations, weather conditions and internal dynamics of the system to aid in energy planning and the optimization of power system. Dynamic modeling and subsequent simulation is to make improvements. Therefore, to model the system, this research study has used a dynamic modeling and a simulation framework (OpenModelica based on modelica language) which is an object-oriented and equation-based language. This framework allows a non-causal modeling and a flexible reuse of the models since data-flow direction is not predefined like other state of the art simulating tools i.e. MATLAB. The proposed model analyses the trend of electrical power generation of KOT ADDU thermal power plant to predict the future demand of electrical power. The achieved results show more than 90% accuracy of the proposed model in the transient operation such as start-up and base load procedure. INDEX TERMS thermal power plant simulation, dynamic modeling, OpenModelica, optimization of thermal plant

show abstract

A multi agent‐based optimisation model for the distribution planning and control of energy‐based intermittent renewable sources

Mohammed

Al-Bazi

2021

Int J Energy Res

View full text Add to dashboard Cite

Summary Recent work on the management of renewable energy sources focuses on developing innovative tools and techniques to control the different behaviours of energy generation systems (eg, the intermittent production of wind power). These tools contribute to achieving a proper balance between energy supply and consumer demand and guarantee a sustainable energy level in storage devices that can face potential generation shortages. In contrast, previous studies mainly focused on stimulating consumer response to market prices so as to rationalise consumption, especially during peak periods. This study investigates the impact of supplier decisions about using different renewable energy sources on the distribution planning and control of energy for the best consumer demand satisfaction and achieving a sustainable energy level in different located storage devices. A Multi Agent‐Based Heuristic Optimisation model is developed to deliver this aim. The heuristic optimisation part of this model is proposed to optimise the energy level across differently located storage devices. It also guarantees the best energy exchange between regions at the strategic planning level. A sensitivity analysis study is conducted to verify the behaviour of the proposed model towards various demand levels, followed by a comparison study to justify the proposed agent‐based heuristic model's superiority. The results highlight the impact of using intermittent renewable sources including solar, wind, hydro and storage devices on energy production, control and distribution. In addition, a sustainable level of storage in devices placed at different locations is achieved by optimising the energy storage operation. This sustainable storage aids any insufficient energy generated from intermittent sources to satisfy consumer requirements. The best energy exchange between regions is also presented.

show abstract

A hierarchical multi-resolution agent-based modeling and simulation framework for household electricity demand profile

Cited by 19 publications

References 60 publications

Modeling, simulation and forecasting of wind power plants using agent-based approach

Modeling, simulation and forecasting of wind power plants using agent-based approach

Dynamic Modeling and Heat Flow Study of a Thermal Power Plant Using OpenModelica

A multi agent‐based optimisation model for the distribution planning and control of energy‐based intermittent renewable sources

Contact Info

Product

Resources

About