Coordinated operation of gas-electricity integrated distribution system with multi-CCHP and distributed renewable energy sources

Jiang, Yibo; Xu, Jian; Sun, Yang; Wei, Congying; Wang, Jing; Liao, Siyang; Ke, Deping; Xiong, Ling; Yang, Jun; Peng, Xiaotao

doi:10.1016/j.apenergy.2017.10.128

Cited by 135 publications

(59 citation statements)

References 27 publications

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“…The thermal storage system (S 2 and S 3 ) variations experience consistent behavior: accumulating energy during the sun hours to utilize it during the evening and at night, instead of using electricity. The only exception to this is the biomass boiler (I 6 ) working during the night, at 0 h on 01/08/2014 and at 3 h on 31/01/2014, in order to take advantage of both the CO 2 Table 4) and, on the other, the cost of storing CO 2 increases with the number of times that the compressor activates (O 5 ). Therefore, as soon as the greenhouse requires this gas enrichment (O 6 ), the reasonable decision is to produce all the CO 2 required for the whole day in a single step so as to avoid wasting electricity with the compressor (O 5 ).…”

Section: Resource Scheduling Resultsmentioning

confidence: 99%

“…Consequently, renewable energies are expected to play a key role given their relevance in distributed generation either for power networks [1] or combined energy systems [2]. However, because of their intermittent nature, many require storage systems and management strategies that decouple generation from demand in order to be economically viable [3].…”

Section: Introductionmentioning

confidence: 99%

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Heterogeneous resource management in energy hubs with self-consumption: Contributions and application example

et al. 2018

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The energy hub concept and modeling methodology are widely employed tools for solving resource conversion and storage scheduling problems. For instance, industrial clusters might benefit from determining the suitable time to operate their facilities and to sell electricity to the public power grid, according to legal, economic or environmental factors. In this paper, novel elements are introduced in order to more accurately represent real plants and to reduce the amount of decision variables. The major innovation is to consider devices consuming a resource which is not related to the quantity of output produced, by attaching binary decision variables to certain energy hub outputs. Secondly, a path vector is defined to take into account the flows of resources within the system instead of employing a variable for each branch between the components. The third innovation consists of an additional vector to express the amount of output resources sold from the energy hub, including constraints for those resources which are exported and imported through the same medium. An extended energy hub model is first proposed and then applied to a real plant example, including multiple and heterogeneous resources and performing a comparison between days with different demands, weather conditions and electricity prices. The results obtained in the selected scenarios demonstrate a logical operation scheduling, and therefore validate the proposed approach.

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Section: Resource Scheduling Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Heterogeneous resource management in energy hubs with self-consumption: Contributions and application example

et al. 2018

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“…Reference [26] presented a long-term, multistage, and multiarea model for the supply/interconnections expansion planning of IES with considering the natural gas value chain and electrical systems value chain. Reference [27] developed a comprehensive and systematic planning model to understand, optimize and develop energy grids to reach higher social welfare with consideration of the expansion of natural gas-fired generators, electricity transmission lines and gas pipelines.As other coupling technologies, combined heat and power system (CHP) and combined cooling heating and power system (CCHP) are gaining increasing importance and attention in the process of system planning and operation schedule [28][29][30][31][32][33]. The CCHP integrates the prime mover, the alternator, the refrigeration equipment, and the heat recovery system to implement the cascade use of energy [34].…”

mentioning

confidence: 99%

“…Reference [28] developed a novel approach for optimal economic dispatch scheduling to minimize environmental emissions and maximize economic profit based on integration of CHP systems with traditional thermoelectric units. Reference [29] proposed a coordinated operation strategy considering the gas hydraulic calculation in gas network AC and power flow in the power network and transferred the power fluctuation of renewable energy sources to cooling or heating system and gas distribution network with the coupled external characteristics modeling of CCHP system. Reference [30] proposed an optimal planning of CHPs at arbitrary nodes in IES and employed energy hub approach to calculate the energy consumption of each bus.…”

mentioning

confidence: 99%

“…As other coupling technologies, combined heat and power system (CHP) and combined cooling heating and power system (CCHP) are gaining increasing importance and attention in the process of system planning and operation schedule [28][29][30][31][32][33]. The CCHP integrates the prime mover, the alternator, the refrigeration equipment, and the heat recovery system to implement the cascade use of energy [34].…”

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confidence: 99%

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Optimal Planning of Integrated Energy Systems Based on Coupled CCHP

2018

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With the widespread attention on clean energy use and energy efficiency, the integrated energy system (IES) has received considerable research and development. This paper proposed an electricity-gas IES optimization planning model based on a coupled combined cooling heating and power system (CCHP). The planning and operation of power lines and gas pipelines are considered. Regarding CCHP as the coupled hub of an electricity-gas system, the proposed model minimizes total cost in IES, with multistage planning and multi-scene analyzing. Renewable energy generation is also considered, including wind power generation and photovoltaic power generation. The numerical results reveal the replacing and adding schemes of power lines and gas pipelines, the optimal location and capacity of CCHP. In comparison with conventional separation production (SP), the optimization model which regards CCHP as the coupled hub attains better economy. At the same time, the influence of electricity price and natural gas price on the quantities of purchasing electricity and purchasing gas in the CCHP system is analyzed. According to the simulation result, a benchmark gas price is proposed, which shows whether the CCHP system chooses power generation. The model results and discussion demonstrate the validity of the model.Energies 2018, 11, 2621 2 of 27 developed a linear energy hub model based on variables to prevent the introduction of dispatch factor variables. Reference [8] proposed a novel decentralized multi-carrier OPF of large-scale IES in a carbon-trading market to give full play to environmental and economic advantages of the system. Reference [9] concentrated on an integrated formulation for the steady-state analysis of electricity-gas coupled systems and proposed a general method to execute a single power and a single gas flow analysis in a uniform framework based on the Newton-Raphson formulation. Reference [10] presented a method for integrated optimization of coupled power flows of various energy infrastructures such as gas, electricity, and district heating systems. Reference [11] proposed a multi-agent genetic algorithm to decompose the multi-energy OPF problem into the separate traditional OPF problem in such a way that most advantages of integrated analysis of IES would be reserved. Reference [12][13][14][15][16][17][18][19] studied the interdependency of IES for system reliability evaluation and flexibility assessment. Reference [12] introduced a new reliability assessment approach to IES, which proposes a hierarchical decoupling optimization framework for both the OPF problems and the energy hub optimal dispatch and accommodates an impact-increment-based state enumeration method to accelerate the reliability assessment process. Reference [13] presented an original methodology to assess the flexibility that the gas system can provide to the power system and introduced a novel metric to evaluate the integrated electrical and gas flexibility, which is used to impose gas-related inter-temporal inter-network constraints on the ...

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Stochastic battery energy storage scheduling considering cell degradation and distributed energy resources

Tang

Sun

et al. 2019

Int Trans Electr Energ Syst

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Summary The penetration of distributed energy resources (DERs) greatly raises the risk of distribution network operation such as peak shaving and voltage stability. Battery energy storage (BES) has been widely accepted as the most potential application to cope with the challenge of high penetration of DERs. To cope with the uncertainties and variability of DERs, a stochastic BES scheduling model and its algorithm are proposed. The overall economy is achieved by fully considering the cell degradation, DERs, electricity purchasing, and active power losses. The rainflow algorithm‐based cycle counting method is incorporated in the BES scheduling model to capture the cell degradation, greatly extending the expected BES lifetime and achieving a better economy. DER power scenarios are generated to consider the uncertainties and correlations based on the Copula theory. To solve the BES scheduling model, we propose a Lagrangian relaxation‐based algorithm, which has a significantly reduced complexity with respect to the existing techniques. For this reason, the proposed algorithm enables much more scenarios incorporated in the BES scheduling model and better captures the DER uncertainties and correlations. Finally, numerical studies for the day‐ahead BES scheduling in the IEEE 123‐node test feeder are presented to demonstrate the merits of the proposed method. Results show that the actual BES life expectancy of the proposed model has increased to 4.89 times compared with the traditional ones. The problems caused by DERs are greatly alleviated by fully capturing the uncertainties and correlations with the proposed method.

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Coordinated operation of gas-electricity integrated distribution system with multi-CCHP and distributed renewable energy sources

Cited by 135 publications

References 27 publications

Heterogeneous resource management in energy hubs with self-consumption: Contributions and application example

Heterogeneous resource management in energy hubs with self-consumption: Contributions and application example

Optimal Planning of Integrated Energy Systems Based on Coupled CCHP

Stochastic battery energy storage scheduling considering cell degradation and distributed energy resources

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