Day-Ahead Scheduling for Economic Dispatch of Combined Heat and Power With Uncertain Demand Response

Hosseini, Seyed Ebrahim; Najafi, Mohammad; Akhavein, Ali; Shahparasti, Mahdi

doi:10.1109/access.2022.3168306

Cited by 10 publications

(5 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The response behavior of demand side is mainly reflected in changing energy consumption mode. The PEM is modeled as the sensitivity of the demand and the price [18]:…”

Section: A Proposed Nlidr Modelmentioning

confidence: 99%

“…In other words, selecting a conservative response load model has great realistic insight into load estimation in MEMS. Several examples of nonlinear response load models that only tackling the electricity DR were given in [16], [17], [18], but neglected the impact of these models for the multi-energy IDR. In this paper, nonlinear response load models, i.e., power, exponential, and logarithmic models have been comprehensive studied for the price based IDR in MEMS.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Flexibility Exploitation With Nonlinear Integrated Demand Response for Multi-Energy System Against Load Estimation Mistake

et al. 2023

View full text Add to dashboard Cite

Integrated demand response contributes to flexibility improvement in multi-energy system. Yet, the challenge posed by the load estimation mistake needs to be addressed to explore the available flexibility. In this paper, we present a price-based nonlinear integrated demand response for multi-energy microgrid against estimation mistakes of both electricity and gas loads. Among them, we develop a period partition method to describe load characteristics and reach a reasonable time-of-use pricing. Besides, a credibility theory-based risk measurement is presented to evaluate the uncertain wind power. Finally, case studies demonstrate the feasibility and effectiveness of the proposed method in flattening load curve, reducing operation cost and promoting the accommodation of wind power.INDEX TERMS Credibility, flexibility, integrated demand response, load mistake, multi-energy system.

show abstract

“…The response behavior of demand side is mainly reflected in changing energy consumption mode. The PEM is modeled as the sensitivity of the demand and the price [18]:…”

Section: A Proposed Nlidr Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flexibility Exploitation With Nonlinear Integrated Demand Response for Multi-Energy System Against Load Estimation Mistake

et al. 2023

View full text Add to dashboard Cite

show abstract

“…For the purpose of calculating the system-wide additional costs associated with optimum dispatch using the search optimization approach, an explicit formula was created [32]. For the operation of CHP, a demand response algorithm was used [33]. The heat transfer search technique, which follows the laws of thermodynamics and heat transfer, was used to find the solution to complicated CHP economic dispatch problems [34].…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Heuristic Optimization Technique Solutions for Combined Heat-Power Economic Load Dispatch

Singh,

Chakrabarti,

Chakrabarti

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

Thermal power plants use coal as a fuel to create electricity while wasting a significant amount of energy as heat. If the heat and power plants are combined and used in cogeneration systems, it is possible to reuse the waste heat and hence enhance the overall efficiency of the power plant. In order to minimize production costs while taking system constraints into account, it is important to find out the optimal operating point of power and heat for each unit. Combined heat and power production is now widely used to improve thermal efficiency, lower environmental emissions, and reduce power generation costs. In order to determine the best solutions to the combined heat and power economic dispatch problem, several traditional as well as innovative heuristic optimization approaches were employed. This study offers a thorough analysis of the use of heuristic optimization techniques for the solution of the combined heat and power economic dispatch problem. In this proposed work, the most well-known heuristic optimization methods are examined and used for the solution of various generating unit systems, such as 4, 7, 11, 24, 48, 84, and 96, taking into account various constraints. This study analyzes how various evolutionary approaches are performed for various test systems. The heuristic methodologies’ best outcomes for various case studies with restrictions are contrasted.

show abstract

“…Reference [28] proposes a novel optimization framework based on IGDT for the strategic participation of multi-carrier systems in the electricity market under price uncertainty. Reference [29] presents a robust model for minimizing the cost of executing tasks by considering the uncertainty of the price of SVMs based on the IGDT; Reference [30] presents an energy management method for the interconnected operation of power, heat, and combined heat and power units to settle the day-ahead market in the presence of a demand response program. In summary, IGDT is an effective method for dealing with price uncertainty issues and can also be applied to ECPPs' participation in power grid supplydemand regulation.…”

Section: Introductionmentioning

confidence: 99%

Research on Optimal Operation of Power Generation and Consumption for Enterprises with Captive Power Plants Participating in Power Grid Supply–Demand Regulation

Liu,

Zhao,

Yang

et al. 2024

Energies

View full text Add to dashboard Cite

Wind and solar power curtailment and the difficulty of peak regulation are issues that urgently need to be addressed in the process of China’s new electric power system. Enterprises with captive power plants (ECPPs) are large-capacity power consumers and producers, with significant optimization and adjustment potential on both the supply and demand sides. This paper aims to promote the active participation of ECPPs in grid supply–demand regulation and proposes an optimization model for the power generation and consumption of ECPPs based on a day-ahead, intra-day two-stage dispatching model. First, targeting demand response scenarios, mathematical models for analyzing the potential of ECPPs to participate in power grid supply–demand regulation are proposed. Then, an optimization model for ECPP generation and consumption with load regulation is established, and a two-stage dispatching model is proposed to fully mobilize the regulation flexibility of ECPPs. Finally, a robust dispatching model considering price uncertainty is established based on information gap decision theory. The case results show that ECPPs can reduce the curtailment rate in a region by approximately 9%, alleviate the peak pressure of the power grid, reduce carbon emissions by 1373.55 tons, and promote low-carbon development for themselves. Meanwhile, considering price uncertainty strengthens the risk resistance capability of ECPPs and provides a basis for their willingness to participate in supply–demand regulation.

show abstract

Day-Ahead Scheduling for Economic Dispatch of Combined Heat and Power With Uncertain Demand Response

Cited by 10 publications

References 42 publications

Flexibility Exploitation With Nonlinear Integrated Demand Response for Multi-Energy System Against Load Estimation Mistake

Flexibility Exploitation With Nonlinear Integrated Demand Response for Multi-Energy System Against Load Estimation Mistake

Analysis of Heuristic Optimization Technique Solutions for Combined Heat-Power Economic Load Dispatch

Research on Optimal Operation of Power Generation and Consumption for Enterprises with Captive Power Plants Participating in Power Grid Supply–Demand Regulation

Contact Info

Product

Resources

About