Optimal short-term scheduling of a novel tri-generation system in the presence of demand response programs and battery storage system

Jabari, Farkhondeh; Nojavan, Sayyad; Mohammadi‐Ivatloo, Behnam; Sharifian, Mohammad Bagher Bannae

doi:10.1016/j.enconman.2016.05.056

Cited by 72 publications

(21 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to simulate the interaction between the electricity and natural gas networks in distribution systems, reference [73] models the residential customers in MES and proposes an energy management system based on the reinforcement learning algorithm to encourage customers to participate in the DSM plans, thus reducing the peak loads of the electricity and natural gas networks. A novel design and short-term optimal planning method for a CCHP system using a solar dish Stirling heat engine driven heat pump is proposed in [74]. The method utilizes an absorption tower and a heat storage tank to absorb and store the collected heat and continuously supply heat during days with insufficient sunshine and at night.…”

Section: Integrated Energy Systemsmentioning

confidence: 99%

From demand response to integrated demand response: review and prospect of research and application

Huang

Zhang

Chen

et al. 2019

Prot Control Mod Power Syst

216

View full text Add to dashboard Cite

In the traditional power system demand response, customers respond to electricity price or incentive and change their original power consumption pattern accordingly to gain additional benefits. With the development of multienergy systems (MES) in which electricity, heat, natural gas and other forms of energy are coupled with each other, all types of energy customers are able to participate in demand response, leading to the concept of integrated demand response (IDR). In IDR, energy consumers can response not only by reducing energy consumption or opting for off-peak energy consumption but also by changing the type of the consumed energy. Taking the traditional demand response in power system as a starting point, the studies of the fundamental theory, framework design and potential estimation of demand response in power system are reviewed, and the practical cases and software development of demand response are introduced. Finally, the current theoretical research and application of IDR are assessed.

show abstract

Section: Integrated Energy Systemsmentioning

confidence: 99%

From demand response to integrated demand response: review and prospect of research and application

Huang

Zhang

Chen

et al. 2019

Prot Control Mod Power Syst

216

View full text Add to dashboard Cite

show abstract

“…Demand response program can stabilize the load curve and effectively reduce the operation cost of a microgrid [40]. In order to minimize the impact of the demand response on the users' own power consumption behavior, this paper refers to the method proposed by Reference [41]. According to this method law, a total shifted-down load by a user should be equal with the shifted-up amount during the 24 h.…”

Section: Demand Response Constraintsmentioning

confidence: 99%

Stochastic Optimization of Microgrid Participating Day-Ahead Market Operation Strategy with Consideration of Energy Storage System and Demand Response

Zhao

et al. 2020

Energies

View full text Add to dashboard Cite

More and more attention has been paid to the development of renewable energy in the world. Microgrids with flexible regulation abilities provide an effective way to solve the problem of renewable energy connected to power grids. In this article, an optimization strategy of a microgrid participating in day-ahead market operations considering demand responses is proposed, where the uncertainties of distributed renewable energy generation, electrical load, and day-ahead market prices are taken into account. The results show that, when the microgrid implements the demand response, the operation cost of the microgrid decreases by 4.17%. Meanwhile, the demand response program can transfer the peak load of the high-price period to the low-price period, which reduces the peak valley difference of the load and stabilizes the load curve. Finally, a sensitivity analysis of three factors is carried out, finding that, with the increase of the demand response adjustable ratio or the maximum capacity of the electrical storage devices, the operation cost of the microgrid decreases, while, with the increase of the demand response cost, the operation cost of the microgrid increases and, finally, tends to the cost without the demand response. The sensitivity analysis reveals that the demand response cost has a reasonable pricing range to maximize the value of the demand response.

show abstract

“…Wind power and photovoltaic power are both weather‐dependent, and hence difficult to be forecasted accurately. Specifically, wind power varies with wind speed [10], while photovoltaic power is related to solar radiation and air temperature [11]. In this paper, point forecasts of wind power and photovoltaic power are utilised.…”

Section: Component Modellingmentioning

confidence: 99%

“…The uncertainties of renewable generation and load consumption are considered. In [10], a novel methodology is presented for scheduling an air to air heat pump‐based CCHP system driven by a solar dish Stirling heat engine. The model of the tri‐generation MG is provided as a mixed‐integer non‐linear programming problem.…”

Section: Introductionmentioning

confidence: 99%

Optimal joint‐dispatch of energy and reserve for CCHP‐based microgrids

Zhong

Xia

Chen

et al. 2017

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

Optimal short-term scheduling of a novel tri-generation system in the presence of demand response programs and battery storage system

Cited by 72 publications

References 22 publications

From demand response to integrated demand response: review and prospect of research and application

From demand response to integrated demand response: review and prospect of research and application

Stochastic Optimization of Microgrid Participating Day-Ahead Market Operation Strategy with Consideration of Energy Storage System and Demand Response

Optimal joint‐dispatch of energy and reserve for CCHP‐based microgrids

Contact Info

Product

Resources

About