Coordinated scheduling of energy resources for distributed DHCs in an integrated energy grid

Zheng, Jiehui; Jing, Zhaoxia

doi:10.17775/cseejpes.2015.00012

Cited by 31 publications

(16 citation statements)

References 18 publications

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“…The multi-purpose heat pump can consume electric energy when the energy is produced at lower costs, or when peak production coming from renewable plants is present, thus also favouring electric grid conservation [86,87] and it can produce heat or cold to be stored and consumed later by the users or by the network (cold ring). A methane grid can also be included in the network [88,89], since a methane boiler can be installed as a back-up or integration unit of the multi-purpose heat pump, especially in substations connected to users requiring hot water at high temperatures (i.e., over 65 • C). In this case too, the presence of thermal storage can allow the real-time use of the cheapest form of energy.…”

Section: Ability To Utilize Renewable Energy and Create A Smart Energmentioning

confidence: 99%

The Innovative Concept of Cold District Heating Networks: A Literature Review

Pellegrini

Bianchini

2018

Energies

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Abstract:The development of sustainable and innovative solutions for the production and supply of energy at district level is nowadays one of the main technical challenges. In the past, district heating and cooling networks aimed to achieve greater energy efficiency through the centralization of the energy production process but with relevant losses related to heat transport. Moving towards a higher share of renewables and lower demand of primary energy requires redesign of the energy district networks. The novel concept of cold district heating networks aims to combine the advantages of a centralized energy distribution system with low heat losses in energy supply. This combined effect is achieved through the centralized supply of water at relatively low temperatures (in the range 10-25 • C), which is then heated up by decentralized heat pumps. Moreover, cold district heating networks are also very suitable for cooling delivery, since cold water supplying can be directly used for cooling purposes (i.e., free cooling) or to feed decentralized chillers with very high energy efficiency ratio. This paper provides a preliminary literature review of existing cold district heating networks and then qualitatively analyses benefits and drawbacks in comparison with the alternatives currently used to produce heat and cold at district level, including the evaluation of major barriers to its further development.

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Section: Ability To Utilize Renewable Energy and Create A Smart Energmentioning

confidence: 99%

The Innovative Concept of Cold District Heating Networks: A Literature Review

Pellegrini

Bianchini

2018

Energies

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“…Electricity prices in different periods are taken into consideration in microgrid planning [2,3]. The microgrid can benefit significantly from high prices in peak hours if the generation cost is lower than the wholesale market price [4]. Energy storage systems are cost-effective if the price differences between peak hours and off-peak hours are significant [5].…”

Section: Motivationmentioning

confidence: 99%

“…The supply and demand situation coefficient (SDSC) (i.e. k SDSC ) is proposed and is defined as (4).…”

Section: ) Nonlinear Regression Modelmentioning

confidence: 99%

Month ahead average daily electricity price profile forecasting based on a hybrid nonlinear regression and SVM model: an ERCOT case study

Zhong

Xie

et al. 2018

J. Mod. Power Syst. Clean Energy

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With the deregulation of the electric power industry, electricity price forecasting plays an increasingly important role in electricity markets, especially for retailors and investment decision making. Month ahead average daily electricity price profile forecasting is proposed for the first time in this paper. A hybrid nonlinear regression and support vector machine (SVM) model is proposed. Offpeak hours, peak hours in peak months and peak hours in off-peak months are distinguished and different methods are designed to improve the forecast accuracy. A nonlinear regression model with deviation compensation is proposed to forecast the prices of off-peak hours and peak hours in off-peak months. SVM is adopted to forecast the prices of peak hours in peak months. Case studies based on data from ERCOT validate the effectiveness of the proposed hybrid method.

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“…The designed ZCE-MEI is composed of a 33-bus PDN, an 8-node DHN, a NSF-CAES hub, 4 wind generators, 1 heat pump, and several reactive power compensators both discrete and continuous including OLTC, SVG, shunt capacitor and reactor. A 3 MW wind generator is equipped with NSF-CAES hub at Bus 2, the other three 0.5 MW wind generators are employed at Bus 7,19,26 respectively. This configuration is valued in [35].…”

Section: 1 System Settingsmentioning

confidence: 99%

“…Optimal power flow of integrated electrical and heating system is studied in [18]. Besides, coordinated scheduling of energy resources for distributed district heating and cooling systems in an integrated energy grid has been investigated in [19].…”

Section: Introductionmentioning

confidence: 99%

Optimal dispatch of zero-carbon-emission micro Energy Internet integrated with non-supplementary fired compressed air energy storage system

Chen

Yuan

et al. 2016

J. Mod. Power Syst. Clean Energy

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To utilize heat and electricity in a clean and integrated manner, a zero-carbon-emission micro Energy Internet (ZCE-MEI) architecture is proposed by incorporating non-supplementary fired compressed air energy storage (NSF-CAES) hub. A typical ZCE-MEI combining power distribution network (PDN) and district heating network (DHN) with NSF-CAES is considered in this paper. NSF-CAES hub is formulated to take the thermal dynamic and pressure behavior into account to enhance dispatch flexibility. A modified DistFlow model is utilized to allow several discrete and continuous reactive power compensators to maintain voltage quality of PDN. Optimal operation of the ZCE-MEI is firstly modeled as a mixed integer nonlinear programming (MINLP). Several transformations and simplifications are taken to convert the problem as a mixed integer linear programming (MILP) which can be effectively solved by CPLEX. A typical test system composed of a NSF-CAES hub, a 33-bus PDN, and an 8-node DHN is adopted to verify the effectiveness of the proposed ZCE-MEI in terms of reducing operation cost and wind curtailment.

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Coordinated scheduling of energy resources for distributed DHCs in an integrated energy grid

Cited by 31 publications

References 18 publications

The Innovative Concept of Cold District Heating Networks: A Literature Review

The Innovative Concept of Cold District Heating Networks: A Literature Review

Month ahead average daily electricity price profile forecasting based on a hybrid nonlinear regression and SVM model: an ERCOT case study

Optimal dispatch of zero-carbon-emission micro Energy Internet integrated with non-supplementary fired compressed air energy storage system

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