Optimal Stochastic Operation of Integrated Low-Carbon Electric Power, Natural Gas, and Heat Delivery System

Li, Yong; Tan, Yi; Cao, Yijia; Liu, Xindong; Shahidehpour, Mohammad; Tian, Shiming; Bu, Fanpeng

doi:10.1109/tste.2017.2728098

Cited by 219 publications

(86 citation statements)

References 26 publications

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“…In addition, the variation of energy flow is much larger than Scenario 2-4 as is shown in Figure 5. To compare the uncertainty level of operating parameters in Scenario 5 with Scenario 2-4, the interval breadth ratios λ is proposed, which can be calculated by λ x,i = x case i − x case i / x case5 − x case5 (i = 2, 3,4), where x is denoted as U, δ, or v. Solutions of Scenario 5 are set as reference values and λ x,i > 0. When λ x,i < 1, it means that fluctuation of the solution x in Scenario i is smaller than that in Scenario 5.…”

Section: Analysis Of All Uncertaintiesmentioning

confidence: 99%

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Interval Energy Flow Analysis in Integrated Electrical and Natural-Gas Systems Considering Uncertainties

Wang

Yuan

2019

Energies

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As integrated electrical and natural-gas systems (IENGS) are popularized, the uncertainties brought by variation of electrical load, power generation, and gas load should not be ignored. The aim of this paper is to analyze the impact of those uncertain variables on the steady-state operation of the whole systems. In this paper, an interval energy flow model considering uncertainties was built based on the steady-state energy flow. Then, the Krawczyk-Moore interval iterative method was used to solve the proposed model. To obtain precise results of the interval model, interval addition and subtraction operations were performed by affine mathematics. The case study demonstrated the effectiveness of the proposed approach compared with Monte Carlo simulation. Impacts of uncertainties brought by the variation of electrical load, power generation, and gas load were analyzed, and the convergence of energy flow under different uncertainty levels of electrical load was studied. The results led to the conclusion that each kind of uncertainties would have an impact on the whole system. The proposed method could provide good insights into the operating of IENGS with those uncertainties. gas (P2G) and gas-fired power generation in the IENGS in Ref. [16]. Since the turboexpander is also commonly used to strongly link the electrical and gas networks, Ref. [17] investigates operational parameters of natural-gas regulation stations (GRS), which influence the efficiency of the gas expansion process and determine selection criteria for a cost-effective application of turboexpanders at selected GRS. The turboexpander has been combined in a CHP plant that supplies a district heating network, in order to save energy and reduce CO 2 emissions by means of smart systems integration in Ref. [18]. The steady-state energy flow considering time-scale characteristics has also been analyzed [19][20][21][22]. A multitemporal simulation model is presented to carry out integrated analysis of electricity, heat, and gas distribution networks, with specific applications to multivector district energy systems in Ref. [19]. A modified teaching-learning-based optimization algorithm is utilized to solve the multiperiod optimal energy flow of multicarrier energy networks in Ref. [20]. Ref.[21] proposes a quasi-steady multienergy flow model and calculates the energy flow of electricity and heating systems considering the time-scale characteristics. An integrated simulation model has been proposed considering the impacts of interdependencies between electricity and natural-gas systems in terms of security of energy supply in Ref. [22].However, the uncertainties of IENGS are not considered in the above references. There are some papers considering the effect of uncertainties and disturbances in Model Predictive Control (MPC) [23], DC microgrid [24], damping the power swings [25], and optimal power flow [26]. Actually, there exist some kinds of uncertain factors in the operating IENGS, such as power load, gas load, and power generation. A probabilistic energy...

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Section: Analysis Of All Uncertaintiesmentioning

confidence: 99%

“…As one of the most important analytical tools for IENGS, energy flow analysis lays the foundation of the optimal operation [2][3][4][5][6], planning [7][8][9][10], energy market [11], and optimal scheduling [12] of the IENGS. There are some studies focused on energy flow analysis with different energy coupling links.…”

Section: Introductionmentioning

confidence: 99%

Interval Energy Flow Analysis in Integrated Electrical and Natural-Gas Systems Considering Uncertainties

Wang

Yuan

2019

Energies

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“…This multi-energy system is where the electric power sector, the heating sector and natural gas system is coupled. Li et al [83] conducted a study on optimal power dispatch of P2G in combination with CHP plants and storage in a multi-energy system. The CO 2 for methanation is recycled from the CHP plant and used to generate biogas together with the P2G technology.…”

Section: Enhancing Flexibility From the Gas And Power Sectormentioning

confidence: 99%

A review of Danish integrated multi-energy system flexibility options for high wind power penetration

et al. 2017

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The current status of wind power and the energy infrastructure in Denmark is reviewed in this paper. The reasons for why Denmark is a world leader in wind power are outlined. The Danish government is aiming to achieve 100% renewable energy generation by 2050. A major challenge is balancing load and generation. In addition, the current and future solutions of enhancing wind power penetration through optimal use of cross-energy sector flexibility, so-called indirect electric energy storage options, are investigated. A conclusion is drawn with a summary of experiences and lessons learned in Denmark related to wind power development.Key words: energy system flexibility; high wind power penetration; integrated multi-energy system; Danish wind energy 1 Current status of Danish wind power and energy system Denmark is an international leader in the implementation of a renewable, secure and cost-efficient energy system using a high share of wind power. In 2016, Denmark achieved a wind power penetration of 38%; while supplying 99.996% of domestic electrical power throughout the year, resulting in one of the highest energy security levels in Europe [1]. The Danish economy since the 1980s has grown by around 80% while maintaining constant energy consumption and, at the same time, decreasing CO 2 emission by 34% [2]. Danish knowledge and development of green energy has also attracted foreign economic investment in renewable energy. In 2017, Apple announced the establishment of one of the largest international data centers in Western Denmark. The Apple data center will be powered by renewable energy and its surplus heating will be injected into the local district heating system [3].

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“…Reference [4] is focused on utilizing customers' flexible energy demand, including both heat demand and electricity demand, to provide balancing resources and relieve the difficulties of integrating variable wind power with the CHP. In [5], a scenario-based approach is proposed for the stochastic operation of integrated electric power, natural gas and heat delivery systems. However, the scope is limited to a subset of resources and does not provide a framework of designing a microgrid with multi-energy carrier systems.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design and Operation of a Low Carbon Community Based Multi-Energy Systems Considering EV Integration

Cao

Crozier

McCulloch

et al. 2019

IEEE Trans. Sustain. Energy

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Abstract-Hybridization of electricity, heat power and transportation energy combines the advantages of multi-energy sources. This paper proposes the combined use of fuel cell, combined heat and power units (CHP), hot water tank storage, gas boiler and photovoltaic (PV) generators to meet the electrical, thermal and transportation electrification energy demands in an eco-friendly multi-energy microgrid. An optimal energy balance methodology is proposed in this paper for sizing the capacity of fuel cell, CHP, gas boiler and PV. The method is to minimise the total annual cost and emissions of the whole system, based on hourly electrical and thermal load profile. The methodology can be used as a planning tool for multi-energy systems.

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Optimal Stochastic Operation of Integrated Low-Carbon Electric Power, Natural Gas, and Heat Delivery System

Cited by 219 publications

References 26 publications

Interval Energy Flow Analysis in Integrated Electrical and Natural-Gas Systems Considering Uncertainties

Interval Energy Flow Analysis in Integrated Electrical and Natural-Gas Systems Considering Uncertainties

A review of Danish integrated multi-energy system flexibility options for high wind power penetration

Optimal Design and Operation of a Low Carbon Community Based Multi-Energy Systems Considering EV Integration

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