Optimal Planning of Multi-Energy System Considering Thermal Storage Capacity of Heating Network and Heat Load

Cheng, Hongzhong; Wu, Jian; Luo, Zhao; Zhou, Fei; Liu, Xinglin; Lü, Tao

doi:10.1109/access.2019.2893910

Cited by 24 publications

(13 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sensible heat storage costs are low, while phase change energy storage has a high heat storage density and a constant and controllable temperature during charge/discharge. In the planning, factors such as the charging and discharging process and dynamic characteristics of different heat storage modes should be considered, as well as the heat load demand and heat storage capacity of the heating network itself (Cheng et al, 2019b), which can reduce the capacity and cost of the device. The construction and operation cost of heat storage equipment is relatively high and it is difficult to be deployed on a large scale.…”

Section: Multi-energy Storagementioning

confidence: 99%

Review on Coordinated Planning of Source-Network-Load-Storage for Integrated Energy Systems

Fan

Xia

et al. 2021

Front. Energy Res.

View full text Add to dashboard Cite

The integration of electricity, gas, and heat (cold) in the integrated energy system (IES) breaks the limitation of every single energy source, which is the development trend of future energy systems. To realize the coordinated planning of “source-network-load-storage,” the IES has to be conducive to improving energy efficiency, bringing economic and environmental benefit, and achieving sustainable development of energy. In this paper, the techniques and methods involved in IES planning are summarized. First, the structure and characteristics of the IES are briefly introduced. Second, the key findings of the IES planning are summarized from four perspectives: source, network, load, and storage. Then, the modeling methods of the IES collaborative planning are summarized, and the optimization methods for solving complex planning problems are analyzed. Compared with previous reviews, this paper focuses on the modeling of multi-energy coupling of each part of source-network-load-storage and modeling of the overall collaborative planning. Finally, the future research direction of IES planning is forecast.

show abstract

Section: Multi-energy Storagementioning

confidence: 99%

Review on Coordinated Planning of Source-Network-Load-Storage for Integrated Energy Systems

Fan

Xia

et al. 2021

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…(27) and 28 There are two types of storage devices mentioned in this project, which are thermal and cooling storage, and their constraints are (29) to (32) and (33) to (36) respectively. Take thermal storage as an example, (29) and (30) refer to the limits of consuming and releasing power, (31) refers to the limit of energy stored within the storage structure. (32) is the energy balance constraint between two adjacent time periods.…”

Section: ) Objective Functionmentioning

confidence: 99%

“…Within these works, many researchers treat the power system as an infinite bus. [30] develops an optimal planning model of a power and heat integrated system with detailed thermal storage, network and load models and specifies the influence of applying these models. [31] analyzes the demand respond based on the heat and electricity system, the aim for this work is to improve the consumption of renewable energy.…”

Section: Introductionmentioning

confidence: 99%

Influence Evaluation of Integrated Energy System on the Unit Commitment in Power System

Liu¹,

Zhou²,

Yang³

et al. 2020

IEEE Access

View full text Add to dashboard Cite

This paper presents a research on unit commitment(UC), which consider the interaction between conventional power system and district-level integrated energy system(IES). The increasing number and scale of IES projects at distribution network bring incremental effect to the whole energy system. Their influence on power system transmission level unit commitment becomes one of the notable topics. Within these IES projects, gas-power and cooling-heating-power are two main types of 'integrated' forms. In this paper, a model system is built for UC analysis in which several district-level IESs are connected to a conventional power system. Heating, cooling and electrical forms of energy are integrated in these IESs. The UC problem is modeled and solved by mixed integer linear programming(MILP), the partial load characteristics of these power plants are handled by piecewise linearization. The common piecewise linearization method used in power and gas system is modified to reduce binary variables and constraints. The purpose of this modification is to increase the MILP solving speed. Case studies are carried out to evaluate the influence of IESs on two different time scales. The simulation result shows that the application of IESs can reduce the whole energy system service cost. As the number of applied district-level IESs increases, the cost reduction becomes more significant. The reduction relies on preventing high-cost small capacity plants go into operation, reducing the number of generator startup, and choosing an economical power output level. These benefits are owing to the reinforcement from gas network via CCHPs (Combine cooling, heating and power) and the buffer from multiple forms of energy storage devices (thermal and cooling).

show abstract

“…In [16], the energy hub concept is used to define the configuration planning problem of MES, which is then formulated into a mixed-integer linear programming (MILP) model. In [17], a MILP model is proposed for the planning of MES, in which both the economic cost and the environmental cost are taken into consideration. In [18], a multi-stage expansion model is proposed for the integrated power, gas, and heat systems, which is then formulated into a mixed-integer nonlinear programming problem and solved by an improved generalized Benders decomposition method.…”

Section: Introductionmentioning

confidence: 99%

Optimal Hybrid Energy Storage System Planning of Community Multi-Energy System Based on Two-Stage Stochastic Programming

Shen

Luo

Xiong³

et al. 2021

IEEE Access

Self Cite

View full text Add to dashboard Cite

The multi-energy system (MES) provides a good environment for the local consumption of renewable energy such as wind and solar power because of its high operational flexibility. In the MES, the hybrid energy storage system (HESS) composed of the battery and thermal storage tank plays an important role in enhancing reliability, economics, and operational flexibility. Hence, determining the optimal size of HESS in the MES is a critical problem but has not received enough attention. In light of this problem, this paper focuses on the optimal HESS planning problem in the community MES (CMES) under diverse uncertainties. Firstly, a two-stage stochastic planning model is proposed for the CMES to coordinate the optimal long-term HESS allocation and the short-term system operation. The thermal inertia in the heating network, space heating demand, and domestic hot water demand is utilized to reduce both the planning and operational cost. Secondly, a deterministic equivalence is proposed for the two-stage planning model to convert it into a mixed-integer linear programming model, which is then solved by off-the-shelf solvers. Finally, simulation results verify the effectiveness of the proposed method. The results reveal that the HESS can enhance the operational flexibility of the CMES but only needs a very few investment costs and prove that the thermal inertia in the CMES can reduce the investment cost of HESS, the fuel, and the operational maintenance cost.INDEX TERMS Battery, community multi-energy system, hybrid energy storage system, mixed-integer linear programming, operational flexibility, renewable energy, thermal storage tank, two-stage stochastic programming, uncertainty.

show abstract

Optimal Planning of Multi-Energy System Considering Thermal Storage Capacity of Heating Network and Heat Load

Cited by 24 publications

References 27 publications

Review on Coordinated Planning of Source-Network-Load-Storage for Integrated Energy Systems

Review on Coordinated Planning of Source-Network-Load-Storage for Integrated Energy Systems

Influence Evaluation of Integrated Energy System on the Unit Commitment in Power System

Optimal Hybrid Energy Storage System Planning of Community Multi-Energy System Based on Two-Stage Stochastic Programming

Contact Info

Product

Resources

About