Planning of HMG with high penetration of renewable energy sources

Baseer, Muhammad; Mokryani, Geev; Zubo, Rana H. A.; Cox, Steve

doi:10.1049/iet-rpg.2018.6024

Cited by 15 publications

(16 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, it is important to take DG uncertainties into consideration. Hybrid AC-DC microgrid operational planning has been examined by the authors of [18], taking into account the uncertainties associated with photovoltaics, wind turbines, and electrical loads. Maximizing SW was the main objective.…”

Section: Literature Reviewmentioning

confidence: 99%

Planning, Operation, and Design of Market-Based Virtual Power Plant Considering Uncertainty

Ullah¹,

Ali

Hassanin

et al. 2022

Energies

View full text Add to dashboard Cite

The power systems of today seem inseparable from clean energy sources such as wind turbines (WTs) and photovoltaics (PVs). However, due to their uncertain nature, operational challenges are expected when WT and PV energy is added to the electricity network. It is necessary to introduce new technologies to compensate for the intermittent nature of renewable energy sources (RESs). Therefore, rationally implementing a demand response (DR) program with energy storage systems (ESSs) in a virtual power plant (VPP) environment is recommended as a way forward to minimize the volatile nature of RESs and improve power system reliability. Our proposed approach aims to maximize social welfare (SW) (i.e., maximization of consumer benefits while minimizing energy costs). Our method assesses the impact of the DR program on SW maximization. Two scenarios are examined, one with and one without a DR program. Stochastic programming theory is used to address the optimization problem. The uncertain behavior of WTs, PVs, and load demand is modeled using a scenario-based approach. The correctness of the proposed approach is demonstrated on a 16-bus UK generic distribution system. Our results show that SW and active power dispatch capacity of WT, PV, and ESS are fairly increased using the proposed approach.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Planning, Operation, and Design of Market-Based Virtual Power Plant Considering Uncertainty

Ullah¹,

Ali

Hassanin

et al. 2022

Energies

View full text Add to dashboard Cite

show abstract

“…The development of smart grid technologies focuses on introducing a mechanism that can automatically balance energy demand and energy supply by varying PLOS ONE desired set points. In this regard, an effective solution to the prominent issue of balancing energy demand supply is presented [25] using a simplex method and ELD. Price-based incentivization of prosumers and demand-side management are key factors to overcome the issue.…”

Section: System Modelmentioning

confidence: 99%

“…Genetic operators are applied to the old solutions and each new iteration, based on the old solution results in a new optimal point. The layout of a Genetic Algorithm for MTM is presented as: 15), ( 16), (25), and (26). 9: Repeat steps 3 and 4.…”

Section: Genetic Algorithm (Ga) Optimizationmentioning

confidence: 99%

Stochastic adaptive-service level agreement-based energy management model for smart grid and prosumers

Ahmed

Khan²,

Ullah³

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

The growing issue of demand-supply management between the prosumers and the local energy market requires an efficient and reliable energy management model. The microlayers, such as prosumers, energy districts, and macro players, namely retail dealers and wholesale dealers play a pivotal role in achieving mutual benefits. The stochastic nature of renewable energy generation in energy districts requires an effective model that can contemplate all stochastic complexities. Therefore, this paper proposes a mutual trade model between energy districts and smart grid to authorize the prosumers for mutual energy transactions under the stochastic adaptive-service level agreement. Moreover, multiple smart contacts are developed between the stakeholders to design adaptability and stochastic behavior of wind speed and solar irradiance. The real-time adaptations of the stochastic adaptive-service level agreement are based on technical beneficial feasibility and achieved through stochastic and adaptive functions. The optimized solution based on a genetic algorithm is proposed for the energy cost and energy surplus of prosumers and output parameters of the mutual trade model (grid revenue). In the context of mutual benefits associated with balanced demand and supply, the economic load dispatch and simplex method maximization are used for optimized demand-supply energy management. Moreover, the effectiveness of the proposed adaptive and stochastic mutual trade model is validated through simulation and statistical analysis.

show abstract

“…Modern buildings (MB) are anticipated to have a local generation of electric power in their premises to fulfil most of their electrical power demand [1,2]. Further, the installed capacity of the renewable energy sources can be reduced if the loads which may either be AC or DC, for example, fan loads, lighting loads, refrigerating loads, heating loads etc.…”

Section: Introductionmentioning

confidence: 99%

A five bus AC–DC hybrid nanogrid system for PV based modern buildings

Dutta

Chatterjee

2021

IET Renewable Power Gen

View full text Add to dashboard Cite

A five bus AC–DC hybrid transformerless nanogrid system for modern buildings, and its associated control strategy that can operate all the buses simultaneously, is proposed in this paper. The nanogrid has five buses that can exchange power among themselves. This feature improves the reliability of power availability in the system. Two DC buses and one AC bus can be operated in standalone mode as well as in grid connected mode which enables the scheme to operate with available DC microgrids and the AC utility grid. The PV array and the battery bank are interfaced with the remaining two buses which are PV bus, and the battery bus, respectively. In order to reduce the number of serially connected battery units, the voltage rating of the battery bus is kept low. Similarly, the voltage rating of the PV bus is maintained at a medium level to decrease the number of serially connected modules. Hence the effect of shading is minimized. The control strategy of the system is developed to judiciously operate all the buses. In order to validate the viability of the system, exhaustive experimental studies are carried out utilising a laboratory scale 1.2 kW nanogrid system developed for the purpose.

show abstract

Planning of HMG with high penetration of renewable energy sources

Cited by 15 publications

References 33 publications

Planning, Operation, and Design of Market-Based Virtual Power Plant Considering Uncertainty

Planning, Operation, and Design of Market-Based Virtual Power Plant Considering Uncertainty

Stochastic adaptive-service level agreement-based energy management model for smart grid and prosumers

A five bus AC–DC hybrid nanogrid system for PV based modern buildings

Contact Info

Product

Resources

About