Probabilistic Multi-Energy Flow Calculation of Electricity–Gas Integrated Energy Systems With Hydrogen Injection

Zhang, Shenxi; Wang, Shuping; Zhang, Zhenyuan; Lyu, Jiawei; Cheng, Haozhong; Huang, Mingyu; Zhang, Qingping

doi:10.1109/tia.2021.3094487

Cited by 27 publications

(5 citation statements)

References 32 publications

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“…As a second and more realistic test case, the 33-node power distribution network from the IEEE benchmarks, illustrated in Figure 8, is considered. [18][19][20][21] It is a representative 10 MW single-phase power distribution network with radial topology, having 33 nodes and 32 branch connections. The base voltage is 12.66 kV, while the total load connected is 3.7 MW.…”

Section: -Node Ieee Benchmarkmentioning

confidence: 99%

SPICE‐compliant load flow analysis of power distribution networks with behavioral loads

Manfredi,

Trinchero,

Memon

et al. 2023

Circuit Theory & Apps

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This paper discusses an alternative and Simulation Program with Integrated Circuit Emphasis (SPICE)‐compatible solution for the steady‐state simulation of power distribution networks. It introduces two alternative auxiliary subcircuits that allow to efficiently simulate the network in any simulation tool for circuit analysis. This feature introduces remarkable benefits in terms of simplicity and generality, since it avoids the need for any iterative method, thus bridging the gap between classical industry‐standard and general‐purpose simulators based on circuital equations, such as SPICE, and dedicated tools for the load flow analysis of power systems. The approach is first demonstrated based on a simple illustrative example, for which the performance in terms of accuracy and efficiency is discussed and then applied to the standard IEEE 33‐node power distribution benchmark.

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Section: -Node Ieee Benchmarkmentioning

confidence: 99%

SPICE‐compliant load flow analysis of power distribution networks with behavioral loads

Manfredi,

Trinchero,

Memon

et al. 2023

Circuit Theory & Apps

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show abstract

“…In [28], on the other hand, the integrated energy operation of electric hydrogen was studied. The problem was whether the distribution model of hydrogen energy can be modeled accurately, and the study of [29] proposed a solution to this problem by using a probabilistic approach through which to achieve a probabilistic multi-energy flow analysis. For multiple integrated energy sources of hydrogen, a novel idea is to convert hydrogen into another form of energy storage, such as methanol or liquid ammonia, and the study of [30] addresses this idea, where wind and PV energy are stored by liquid ammonia to achieve a long-period space-time transfer.…”

Section: Introductionmentioning

confidence: 99%

Merchant Energy Storage Investment Analysis Considering Multi-Energy Integration

Wang

2023

Energies

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In this paper, a two-stage model of an integrated energy demand response is proposed, and the quantitative relationship between the two main concerns of investors, i.e., investment return and investment cycle and demand response, is verified by the experimental data. Energy storage technology is a key means through which to deal with the instability of modern energy sources. One of the key development paths in the electricity market is the development by energy merchants of energy storage power plants in the distribution network to engage in a grid demand response. This research proposes a two-stage energy storage configuration approach for a cold-heat-power multi-energy complementary multi-microgrid system. Considering the future bulk connections of distributed power generation, the two most critical points of energy storage station construction are the power generation equipment and specific scenarios for serving the community, as well as the purchase and sale price of electricity for serving the community microgrid (which directly affects the investment revenue). Therefore, this paper focuses on analyzing the different impacts caused by these two issues; namely, the two most important concerns for the construction of energy storage configurations. First, the basic model enabling wholesale electricity traders to construct energy storage power plants is presented. Second, for a multi-microgrid system with a complementary cold-heat-power multi-energy scenario, a two-stage optimum allocation model is constructed, whereby the upper model calculates the energy storage allocation problem and the lower model calculates the optimal dispatch problem. The lower model’s dispatch computation validates the upper configuration model’s reasonableness. Finally, the two-layer model is converted to a single-layer model by the KKT condition, and the nonlinear problem is converted to a linear problem with the big-M method. The validity is proved via mathematical examples, and it is demonstrated that the planned energy storage plants by merchants may accomplish resource savings and mutual advantages for both users and wholesale power traders.

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“…It has led an impact on human consumption behaviour of energy to meet the electricity-heat-gas load in DR [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…It has led an impact on human consumption behaviour of energy to meet the electricity‐heat‐gas load in DR [3, 4]. Meanwhile, electric load, heat load and gas load all have the available approximate Gaussian distribution of volatility and different characteristics of physical inertia and time response in the spatial and temporal dimensions [5–7].…”

Section: Introductionmentioning

confidence: 99%

Electricity‐heat‐gas integrated demand response dependency assessment based on BOXCOX‐Pair Copula model

Tian

Huang

Yan³

et al. 2021

IET Energy Syst Integration

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With the continuous development of Regional Integrated Energy System (RIES), demand response (DR) is composed of diversified loads including electric load, heat load and gas load. Their cross-dependencies reflecting the nonlinear coupling complementary relationship between each load type are one of the key factors to improve multi-energy flow optimisation modelling and utilisation efficiency on the demand side. Accordingly, this paper proposes a DR dependency assessment method considering electricity-heat-gas loads based on the BOXCOX-Pair Copula model. BOXCOX transformation is introduced to convert various probability distribution statistics of electricity-heat-gas loads into Gaussian distributed variables. C-vine Pair Copula is used to characterise an ensemble-of-trees of high-dimensional dependency structure among multi-energy demand modalities. Then the combined model of BOXCOX transformation and C-vine Pair Copula can be employed to determine the complex coupling dependency among electricity-heat-gas loads according to different DR statistics. Some metrics between the original empirical distribution and BOXCOX-Pair Copula distribution are introduced to assess the dependency evaluation precision of the proposed model. Finally, the novel dependency assessment model is numerically tested utilising the electricity load, heat load and gas load data sequences in a real RIES. The results illustrate that the crossdependency of electricity-heat-gas integrated DR based on the BOXCOX-C-vine copula model is closer to that of actual sample data, which verify the effectiveness and superiority of the proposed approach.

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Probabilistic Multi-Energy Flow Calculation of Electricity–Gas Integrated Energy Systems With Hydrogen Injection

Cited by 27 publications

References 32 publications

SPICE‐compliant load flow analysis of power distribution networks with behavioral loads

SPICE‐compliant load flow analysis of power distribution networks with behavioral loads

Merchant Energy Storage Investment Analysis Considering Multi-Energy Integration

Electricity‐heat‐gas integrated demand response dependency assessment based on BOXCOX‐Pair Copula model

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