Demand response integrated day-ahead energy management strategy for remote off-grid hybrid renewable energy systems

Kaluthanthrige, Roshani; Rajapakse, Athula D.

doi:10.1016/j.ijepes.2020.106731

Cited by 57 publications

(16 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, there is limited reporting data, studies, and investigations on RE demand and substitute supply issues (Kaluthanthrige & Rajapakse, 2021). This accomplishment on RE demand is challenging as the unpredictable future of power demand is unknown with precise statistics (Li et al, 2021a).…”

Section: Energy Demandmentioning

confidence: 99%

“…For example, the technological barriers count on RE resources such as wind and solar are occasional in accessibility and lead to uncertainty in demand gratification (Pravin et al, 2020). The uncertainties reigning in the human perceptions disputes to understand which should be precisely embodied a consumer approachable likeness (Kaluthanthrige & Rajapakse, 2021). This requires extra investigations on renewables demand as decision makers are unclear about how to handle the upcoming events in uncertainty practices.…”

Section: Energy Demandmentioning

confidence: 99%

See 1 more Smart Citation

A Data-Driven Analysis on Sustainable Energy Security

Bui

Tseng

2021

Journal of Global Information Management

View full text Add to dashboard Cite

This study provides a data-driven analysis that illustrates a clear renewable energy depiction in sustainable energy security and unveils the regional issues due to the literature solely occupies energy security concept in the descriptions view, and renewable energy differences related to regions are rarely discussed. A hybrid method is proposed to valid those indicators and shows the trend of future studies. This study enriches the challenges and opportunities by contributing to understand the fundamental knowledge of renewable energy in sustainable energy security frontier, conveyance directions for future study and investigation, and assessment on global renewable energy position and regional disparities. There are valid 19 indicators, in which energy demand, energy policy, renewable resources, smart grid, and uncertainty representing the future trends. World regional comparison includes 115 countries/territories and categorized into five geographical regions. The result shows that those indicators have addressed different issues in the world regional comparison.

show abstract

Section: Energy Demandmentioning

confidence: 99%

Section: Energy Demandmentioning

confidence: 99%

A Data-Driven Analysis on Sustainable Energy Security

Bui

Tseng

2021

Journal of Global Information Management

View full text Add to dashboard Cite

show abstract

“…On the other hand, the variance models may fail in modeling the stochastic behavior of customers' participation. 10 The price elasticity models with static coefficient matrices fail to model the true characterization of customers' responsiveness subjected to multi-period variations. The authors adopted the flexible price elasticity 35 concept to implement the load-responsive models with this viewpoint.…”

Section: State Of the Artmentioning

confidence: 99%

“…The former group with critical loads is sensitive to market price in a single period p and formulated as "self-elasticity matrix" E p,p ð Þ as shown in (9). Similarly, the latter group with noncritical loads is sensitive to market price in multi-period and formulated as "crosselasticity matrix" E p, q ð Þ as shown in (10). The terms r and d represent the price and demand for periods…”

Section: Responsive Load Economic Modelmentioning

confidence: 99%

A swarm intelligence approach for energy management of grid‐connected microgrids with flexible load demand response

Singh

Ding

Raju

et al. 2021

Intl J of Energy Research

View full text Add to dashboard Cite

Ever since its inception, the concept and application of demand-side response have continued to evolve and take a new shape in microgrid energy management. The application of demand response programs in the microgrid literature lacks the consideration of flexible price elasticity of different load categories. The realistic characterization of load-responsive models with a combination of both linear and nonlinear models is necessary to study the effect of demand response programs. To cover this research gap, the impact of price-based demand response programs on the optimal scheduling of microgrids is investigated in the presence of linear and nonlinear load models. The flexible elasticity model is adopted to characterize the actual behavior of customer responsiveness towards changes in electricity price. Five load models, namely linear, logarithmic, exponential, power, and hyperbolic, were derived for each price-based demand response program. Furthermore, the stochastic-based scenario modeling is considered to cope with the volatile renewable generation in the microgrid network. The recently reported swarm intelligence-based algorithm called the sparrow search method is intended to solve the proposed microgrid energy management issue for the first time in the literature. Fifteen case studies on the basis of distinct linear and nonlinear load scenarios have been carried out to assess the effectiveness of the methodology proposed. Finally, various techno-economic performance indices were evaluated for all case studies, and a priority-wise ranking is assigned based on the multi-criteria assessment technique.

show abstract

“…In [6][7][8], the notions of the so-called Energy Hub and Energy Internet are introduced, and the general modeling and simulation approaches of the IES are reviewed. Some research is devoted to extending the scope of the IES, incorporating Power-to-Gas (P2G) devices and dynamic pipeline networks [9], energy storage systems in buildings [10], demand response of users [11], or distributed generators [12] into the optimal dispatching model, and proves that the extended IES is more robust and economic under multi-energy flow scenarios. Some research focuses on promoting the accommodation of REG.…”

Section: Introductionmentioning

confidence: 99%

Multi-Time Period Optimal Dispatch Strategy for Integrated Energy System Considering Renewable Energy Generation Accommodation

Chen¹,

Lai

Chen³

et al. 2022

Energies

View full text Add to dashboard Cite

With the target of carbon peaking and carbon neutrality, renewable energy generation (REG) develops rapidly. The increasing penetration of REG brings along the problems of fluctuation in power flow and the possible abandonment of wind and photovoltaics (PV) generation. In this context, the so-called integrated energy system (IES) becomes a promising solution to the accommodation of REG thanks to energy storage systems and coupling devices inside. In this paper, the optimal operation model of an IES is first presented, with the schemes of green certificate trading and carbon emission right trading included to provide economic incentives for accommodating REG. Next, in order to address the problem of uncertainty in REG, the devices in the IES are divided into three types based on regulation flexibility, and a multi-time period optimal dispatching scheme is proposed, including day-ahead optimal scheduling, rolling optimal dispatching, and real-time control strategy. Finally, it is demonstrated by simulation results of a numerical example that the proposed method not only promotes the accommodation capability for REG but can also cope well with contingencies.

show abstract

Demand response integrated day-ahead energy management strategy for remote off-grid hybrid renewable energy systems

Cited by 57 publications

References 38 publications

A Data-Driven Analysis on Sustainable Energy Security

A Data-Driven Analysis on Sustainable Energy Security

A swarm intelligence approach for energy management of grid‐connected microgrids with flexible load demand response

Multi-Time Period Optimal Dispatch Strategy for Integrated Energy System Considering Renewable Energy Generation Accommodation

Contact Info

Product

Resources

About