Investigation of Carrier Demand Response Uncertainty on Energy Flow of Renewable-Based Integrated Electricity–Gas–Heat Systems

Integrated energy carriers in the framework of energy hub system (EHS) have an undeniable role in reducing operating costs and increasing energy efficiency as well as the system's reliability. Nowadays, power‐to‐gas (P2G), as a novel technology, is a great choice to intensify the interdependency between electricity and natural gas networks. The proposed strategy of this study is divided into two parts: (i) a conditional value‐at‐risk‐based stochastic model is presented to determine the optimal day‐ahead scheduling of the EHS with the coordinated operating of P2G storage and tri‐state compressed air energy storage (CAES) system. The main objective of the proposed strategy is to indicate the positive impact of P2G storage and tri‐state CAES on lessening the system uncertainties including electricity market price, power generation of the wind turbine, and even electrical, gas, and thermal demands. (ii) A demand response program focusing on day‐ahead load shifting is applied to the multiple electrical loads according to the load's activity schedule. The proposed strategy is successfully applied to an illustrative example and is solved by general algebraic modeling system software. The obtained results validate the proposed strategy by demonstrating the considerable diminution in the operating cost of the EHS by almost 4.5%.

show abstract

“…Equations (11)- (14) and (15)- (18) indicate the minimum up time and the minimum down time limits, respectively…”

Section: Chp Unit Constraintsmentioning

confidence: 99%

Integrated energy hub system based on power‐to‐gas and compressed air energy storage technologies in the presence of multiple shiftable loads

Mirzaei

Oskouei

Mohammadi‐Ivatloo

et al. 2020

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…Leading heat network equipment includes heat resources, circulating pumps, heat consumers, and the pipeline network. The transferred heat power from node h to node b is described as follows [31]:…”

Section: Heating Networkmentioning

confidence: 99%

“…where ψ = round(1+rand), X best and X worst are the best and worst solutions which have been found by the optimisation algorithm in the previous iterations, respectively. For the replacement operation, the fitness value of the mutant habitat [Fit(X mut 1 or 2,i )] should be compared with the fitness value of the existing vector Fit(X i ) (see (40) (31) This section provides the numerical results to illustrate the robustness and the efficiency of the proposed OEF considering DR programme. In the results, the participation of the flexible energy consumers in the OEF of MCE is investigated.…”

Section: Modification Technique (Mt) For the Bbo Algorithmmentioning

confidence: 99%

Hourly electricity and heat Demand Response in the OEF of the integrated electricity‐heat‐natural gas system

Massrur

Niknam

Fotuhi‐Firuzabad

et al. 2019

IET Renewable Power Generation

Self Cite

View full text Add to dashboard Cite

Recently, demand-response (DR) programmes are one of the appropriate tools for energy systems to encourage flexible customers to participate in the operation of energy systems. One of the complex tasks in multi-energy environments is optimal energy flow (OEF) problem of these systems. In this regard, this study investigates the OEF of an integrated electrical, heat, and gas system considering flexible heat and electrical demands. The conventional DR programme has been combined with the demand-side energy supplying management activity by introducing switching concept among input energy carriers. The way of the supplying energy of flexible customer can be changed by switching among input energy carriers. Here, the integrated system operator minimises the system operation costs subject to supply flexible consumers' energy. To solve the complex OEF problem, this study presents a new optimisation algorithm named modified biogeography-based optimisation (BBO) algorithm. In this study, the proposed modification for the original BBO increases the robustness and the capability of the proposed optimisation method. The numerical results show that the flexible DR programme creates smoother energy demand curves in heat and electrical networks and reduce the operating costs of the integrated system.

show abstract

“…Countries around the world, therefore, try to promote a revolution in the energy sector by exploiting renewable energy and changing the way they consume traditional energy. Many researchers from different countries have concentrated on multi-energy planning in recent years and slowly reached a consensus on multiple energy system (MES) innovations [4][5][6]. The MES includes a number of energy systems, for example, electricity and natural gas, which greatly enhance renewable energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Operation Cost of Residential Multiple Energy System Considering Uncertainty of Loads and Renewable Energies

et al. 2021

View full text Add to dashboard Cite

Investigation of Carrier Demand Response Uncertainty on Energy Flow of Renewable-Based Integrated Electricity–Gas–Heat Systems

Cited by 81 publications

References 25 publications

Integrated energy hub system based on power‐to‐gas and compressed air energy storage technologies in the presence of multiple shiftable loads

Integrated energy hub system based on power‐to‐gas and compressed air energy storage technologies in the presence of multiple shiftable loads

Hourly electricity and heat Demand Response in the OEF of the integrated electricity‐heat‐natural gas system

Estimation of Operation Cost of Residential Multiple Energy System Considering Uncertainty of Loads and Renewable Energies

Contact Info

Product

Resources

About