Abstract:The coordination of energy carriers in energy systems has significant benefits in enhancing the flexibility, efficiency, and sustainability characteristics of energy networks. These benefits are of great importance for multi-carrier energy networks due to the complexity of obtaining optimal dispatch, considering the non-convex nature of their energy conversion. The current study proposes a robust operation model for the coordination of multi-carrier systems, including electricity, gas, heat, and water carriers… Show more
“…A bi-level model for multi-carrier systems has been presented in [14], where expansion planning and operation of the system are studied in the upper and lower levels. A robust operation model of multi-carrier energy systems has been introduced in [15] considering the uncertainty of load, where the effect of water desalination systems and thermal storage have been investigated. A linearization approach is introduced in [16] to analysis the non-linear limits of the gas system.…”
The operation of energy systems considering a multi-carrier scheme takes several advantages of economical, environmental, and technical aspects by utilizing alternative options is supplying different kinds of loads such as heat, gas, and power. This study aims to evaluate the influence of power to hydrogen conversion capability and hydrogen storage technology in energy systems with gas, power and heat carriers concerning risk analysis. Accordingly, conditional value at risk (CVaR)-based stochastic method is adopted for investigating the uncertainty associated with wind power production. Hydrogen storage system, which can convert power to hydrogen in offpeak hours and to feed generators to produce power at on-peak time intervals, is studied as an effective solution to mitigate the wind power curtailment because of high penetration of wind turbines in electricity networks. Besides, the effect constraints associated with gas and district heating network on the operation of the multi-carrier energy systems has been investigated. A gasfired combined heat and power (CHP) plant and hydrogen storage are considered as the interconnections among power, gas and heat systems. The proposed framework is implemented on 2 a system to verify the effectiveness of the model. The obtained results show the effectiveness of the model in terms of handling the risks associated with multi-carrier system parameters as well as dealing with the penetration of renewable resources.
“…A bi-level model for multi-carrier systems has been presented in [14], where expansion planning and operation of the system are studied in the upper and lower levels. A robust operation model of multi-carrier energy systems has been introduced in [15] considering the uncertainty of load, where the effect of water desalination systems and thermal storage have been investigated. A linearization approach is introduced in [16] to analysis the non-linear limits of the gas system.…”
The operation of energy systems considering a multi-carrier scheme takes several advantages of economical, environmental, and technical aspects by utilizing alternative options is supplying different kinds of loads such as heat, gas, and power. This study aims to evaluate the influence of power to hydrogen conversion capability and hydrogen storage technology in energy systems with gas, power and heat carriers concerning risk analysis. Accordingly, conditional value at risk (CVaR)-based stochastic method is adopted for investigating the uncertainty associated with wind power production. Hydrogen storage system, which can convert power to hydrogen in offpeak hours and to feed generators to produce power at on-peak time intervals, is studied as an effective solution to mitigate the wind power curtailment because of high penetration of wind turbines in electricity networks. Besides, the effect constraints associated with gas and district heating network on the operation of the multi-carrier energy systems has been investigated. A gasfired combined heat and power (CHP) plant and hydrogen storage are considered as the interconnections among power, gas and heat systems. The proposed framework is implemented on 2 a system to verify the effectiveness of the model. The obtained results show the effectiveness of the model in terms of handling the risks associated with multi-carrier system parameters as well as dealing with the penetration of renewable resources.
“…The combined heat and power (CHP), as one of the most common distributed energy technologies, not only can generate heat and power, but also efficiency of system can be increased up to 90%. Besides, the greenhouse gas (GHG) emissions and its related threatens can be reduced by almost 13-18% [4]. Planning and operating in the presence of CHP necessitates to study the issues such as high reliability and security in the supply of energy required for more coupled systems entitled "carrier energy systems" [5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…With the expansion of the above view and the need for multi-carrier energy systems (MCESs) about the role of this issue in the energy industry, the utilization of networks such as electrical, natural gas, and district heating networks is inevitable [4,10,11]. The main reason for implementing MCESs is to study the interactions of energy networks with each other, minimizing costs and consumer supply security [12,13].…”
Multi-carrier energy systems (MCESs) provide collaboration between various kinds of energy carriers to supply the electricity, heating, and cooling demands. With the widespread use of MCESs in recent years, the security assessment of energy systems has attracted the attention of many contemporary researchers. However, the complexity of an MCES, including electrical, natural gas, and district heating networks, and different uncertainties imposes vast challenges to keep a safe operation energy supply. In this paper, a systematic methodology for the security analysis of MCESs is presented. For this purpose, considering electrical, natural gas, and district heating networks, an integrated model of energy systems is introduced. The security analysis of this framework is evaluated using some indices. In this approach, two well-known performance indices, including power performance index (PIP) and voltage performance index (PIV), are used to analyze the electrical networks’ security. Besides, the concept of Energy not supplied (ENS) is used for natural gas and district heating networks. In this regard, security analysis of a typical MCES including the IEEE 14-bus electrical network, the IEEE 30-bus electrical network, 20-node Belgian natural gas network, and 14-node district heating network is examined. The applicability of the proposed technique will be proven using comprehensive simulation analysis.
“…It is necessary to adopt certain methods to improve the energy efficiency and ensure the reliable operation of the power system [3]. In this context, the integrated energy system (IES) under the fusion of a smart grid and energy network came into being [4]. The IES can effectively convert electricity, gas, heat, cold and other forms of energy in the energy hub to dynamically meet the energy needs of different users.…”
The coordinated operation of an integrated energy system (IES) and a distribution network is the inevitable development trend of the energy Internet of the future. The day-ahead optimal scheduling of the IES is an important way to improve new energy efficiency and the energy economy. When the IES and the distribution network exchange electrical energy, the voltage of the distribution network may be out of limit. This article presents a two-stage joint optimal scheduling method for a distribution network with IESs to improve the economy of the IESs and the safety of the distribution network. In the first stage, the user's demand response and the electrical energy interaction between IESs are considered, and the schedulable potential of the systems is fully tapped. In the second stage, a bi-level scheduling model is adopted: the upper model takes the distribution network as the control object and reduces the power loss by adjusting the exchange power between the distribution network and the IESs. The lower model takes the IESs as the control objects and obtains the scheme with the lowest cost in each IES through multi-objective particle swarm optimization. Taking the IEEE 33-node distribution system as an example, simulation research is performed to show that the total network loss is 17.01% lower and the total cost is 5.36% lower than the method without two-stage optimal scheduling, which verifies the effectiveness of the proposed method. INDEX TERMS Integrated energy system (IES), joint optimal scheduling, power interaction, bi-level scheduling model.
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