Research on Economic Operation Strategy of CHP Microgrid Considering Renewable Energy Sources and Integrated Energy Demand Response

Dong, Jie; Nie, Shilin; Huang, Hui; Yang, Peiwen; Fu, Anyuan; Lin, Jin

doi:10.3390/su11184825

Cited by 16 publications

(7 citation statements)

References 25 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The energy transition requires also political economies able to change the structure of incentives and can start with a price guarantee for renewable energy providers in order to sustain initial investments in the sector, as in the case of Germany [57]. The development of a more efficient renewable energy sector at the country level also requires investment in smart grids [58,59]. However, the intermittence of renewable energy production can produce inefficiency in the grid at the national and local levels [60].…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Renewable Electricity Output on Sustainability in the Context of Circular Economy: A Global Perspective

Laureti¹,

Massaro²,

Costantiello³

et al. 2023

Sustainability

View full text Add to dashboard Cite

In this article, we investigate the impact of “Renewable Electricity Output” on the green economy in the context of the circular economy for 193 countries in the period 2011–2020. We use data from the World Bank ESG framework. We perform Panel Data with Fixed Effects, Panel Data with Random Effects, Weighted Last Squares-WLS, and Pooled Ordinary Least Squares-OLS. Our results show that Renewable Electricity Output is positively associated, among others, with “Adjusted Savings-Net Forest Depletion” and “Renewable Energy Consumption” and negatively associated, among others, with “CO2 Emission” and “Cooling Degree Days”. Furthermore, we perform a cluster analysis implementing the k-Means algorithm optimized with the Elbow Method and we find the presence of four clusters. In adjunct, we confront seven different machine learning algorithms to predict the future level of “Renewable Electricity Output”. Our results show that Linear Regression is the best algorithm and that the future value of renewable electricity output is predicted to growth on average at a rate of 0.83% for the selected countries. Furthermore, we improve the machine learning analysis with a Deep Learning approach using Convolutional Neural Network-CNN but the algorithm is not appropriate for the analyzed dataset. Less complex machine learning algorithms show better statistical results.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Renewable Electricity Output on Sustainability in the Context of Circular Economy: A Global Perspective

Laureti¹,

Massaro²,

Costantiello³

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…The CHP-based HES complicates the energy management problem, since any change in the electric or heat side creates a mismatch on the other side [2]. The uncertainty of RES, load behavior, and energy price cannot be foreseen exactly before the scheduling, thus making the balancing a challenge.…”

Section: Literature Reviewmentioning

confidence: 99%

Information Gap Decision Theory-Based Risk-Averse Scheduling of a Combined Heat and Power Hybrid Energy System

et al. 2023

View full text Add to dashboard Cite

This research investigates the optimal management of electric and heat energies in a hybrid energy system (HES). In the studied HES, a pair of photovoltaic and battery storage devices is used to supply the electricity demand, and a boiler system to supply the heat demand directly. In addition, a modified cycle power plant acted as a combined heat and power (CHP) unit to increase the generation capacity and supply reliability. The HES is also able to connect to the electric grid to exchange power according to real-time energy prices. The uncertainty of renewable generation, demand levels, and energy prices challenge the decision-making process. To deal with the uncertainty of these overlapping parameters, a comprehensive information-gap decision theory (IGDT) approach is proposed in this paper that, despite other works, considers the uncertainties in an integrated framework and derives risk-averse and risk seeker strategies in different steps. The problem is modeled as mixed-integer linear programming and solved using the GAMS optimization package. Concerning simulation results, from the viewpoint of a risk-seeking decision maker, the increment of the uncertainty degree by 10.906% results in a reduced operating cost of 8.6%. From the viewpoint of a risk-averse decision maker, the increment of the uncertainty degree by 10.208% results in 8.6% more operating cost.

show abstract

“…Maroufmashat et al [79] used LP to solve EMS problems, such as minimizing the capital, operation, and maintenance costs in a hydrogen refueling station. Dong et al [80] presented an MG based on CHP and RE while taking economy, environment, and flexibility into consideration to reduce the operation costs and CO 2 emissions. Garcia et al [81] proposed a novel MPC model that minimizes power loss in an ESS in real-time.…”

Section: Minimize the Costmentioning

confidence: 99%

Energy Management System in Microgrids: A Comprehensive Review

et al. 2021

View full text Add to dashboard Cite

As promising solutions to various social and environmental issues, the generation and integration of renewable energy (RE) into microgrids (MGs) has recently increased due to the rapidly growing consumption of electric power. However, such integration can affect the stability and security of power systems due to its complexity and intermittency. Therefore, an optimal control approach is essential to ensure the efficiency, reliability, and quality of the delivered power. In addition, effective planning of policies for integrating MGs can help promote MG operations. However, outages may render these strategies inefficient and place the power system at risk. MGs are considered an ideal candidate for distributed power systems, given their capability to restore these systems rapidly after a physical or cyber-attack and create reliable protection systems. The energy management system (EMS) in an MG can operate controllable distributed energy resources and loads in real-time to generate a suitable short-term schedule for achieving some objectives. This paper presents a comprehensive review of MG elements, the different RE resources that comprise a hybrid system, and the various types of control, operating strategies, and goals in an EMS. A detailed explanation of the primary, secondary, and tertiary levels of MGs is also presented. This paper aims to contribute to the policies and regulations adopted by certain countries, their protection schemes, transactive markets, and load restoration in MGs.

show abstract

Research on Economic Operation Strategy of CHP Microgrid Considering Renewable Energy Sources and Integrated Energy Demand Response

Cited by 16 publications

References 25 publications

The Impact of Renewable Electricity Output on Sustainability in the Context of Circular Economy: A Global Perspective

The Impact of Renewable Electricity Output on Sustainability in the Context of Circular Economy: A Global Perspective

Information Gap Decision Theory-Based Risk-Averse Scheduling of a Combined Heat and Power Hybrid Energy System

Energy Management System in Microgrids: A Comprehensive Review

Contact Info

Product

Resources

About