Review of key problems related to integrated energy distribution systems

Wang, Dan; Liu, Liu; Jia, Hongjie; Wang, Weiliang; Zhi, Yunqiang; Meng, Zhengji; Zhou, Bingyu

doi:10.17775/cseejpes.2018.00570

Cited by 217 publications

(72 citation statements)

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“…C i (t) is the operation cost of the i-th kind of energy network at time t, which is determined by the operation plan made by the lower decision-maker. q j (t) is the marginal cost per unit power of the j-th kind of energy at time t, as shown in Equation (5).…”

Section: The Upper Modelmentioning

confidence: 99%

“…The above results validate the effectiveness of the energy optimal dispatching model of the IES and the economy of the system operation under the multiple decision-maker hierarchy.Energies 2020, 13, 477 2 of 24 overall efficiency of energy utilization and the consumption of renewable energy [2,3]. According to the statistics of the State Energy Administration, the annual wind curtailment reached 27.7 billion kWh in 2018, and the wind curtailment rate was 7% [4,5]. However, with a series of advantages of improving energy efficiency, promoting renewable energy utilization, and improving energy supply security, an integrated energy system (IES) can complement, coordinate, and optimize different energy supply systems in the planning, design, construction, and operation stages of an energy system, so as to realize energy cascade utilization and collaborative optimization [6,7].…”

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confidence: 99%

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An Energy Optimal Dispatching Model of an Integrated Energy System Based on Uncertain Bilevel Programming

Song

Lin

et al. 2020

Energies

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An integrated energy system (IES) involving a large number of decision-makers causes problems of bad coordination between energy sub-networks and the IES and it is not able to fully consider the multi-energy complementarity among multiple decision-makers. In this context, firstly, this paper constructs an energy optimal dispatching model of an IES based on uncertain bilevel programming. The upper model takes the transformation matrix of energy hubs as the upper decision-maker, taking the minimum operation cost of the IES in the form of confidence as the objective function; the lower model takes each optimal operation plan of the electric power sub-network, the thermal energy sub-network, and the gas energy sub-network as the lower decision-makers, aiming at the operation economy of each sub-network and considering their operation as necessary constraints. Secondly, a firefly algorithm with chaotic search and an improved light intensity coefficient is designed to improve the proposed model. An empirical analysis was conducted on a pilot area of an integrated energy system in Hebei Province. The results show the following: (1) The typical daily operating cost of the integrated energy system in winter is lower than that in summer; (2) under the same load level, the typical winter and summer running costs of the integrated energy system are lower than that of the traditional microgrid; (3) compared with the particle swarm optimization algorithm, the improved firefly algorithm proposed in the paper has obvious advantages both in terms of running cost and solution time; and (4) when the confidence of the objective function and the constraints increases, the operating cost of various schemes also increase. The above results validate the effectiveness of the energy optimal dispatching model of the IES and the economy of the system operation under the multiple decision-maker hierarchy.

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Section: The Upper Modelmentioning

confidence: 99%

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confidence: 99%

An Energy Optimal Dispatching Model of an Integrated Energy System Based on Uncertain Bilevel Programming

Song

Lin

et al. 2020

Energies

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“…The mass-flow balance equation of NGS can be calculated in Equation (13). Furthermore, the interfaces between BEH and NGS mainly refer to the BEH consumed gas power P g1 and P g2 , which influence the gas demand ω l,i and ω l,j at the connected node i and node j in Equation (14) and are constrained by the gas pressure level in Equation (15). As the IEDS discussed in this paper involves low-pressure scenarios, Lacey's equation is used to express the relation between gas flow and pressure drop, as shown in Equation (16) [32].…”

Section: Gmses-mfr Electricity Energy Flow Gas Energy Flowmentioning

confidence: 99%

“…Even though investment in energy storage is expected to decrease in the future, the median capital cost of a battery system for an 8-h battery, for example, is still predicted to be more than 1000 $/kW [13]. On the other hand, traditional power systems are undergoing transitions towards integrated energy distribution systems (IEDS) [14], where the interdependencies and synergy effects among various energy sectors are highlighted, including the electric power system (EPS), natural gas system (NGS), and district heating system (DHS). The transitions have gained popularity in both academia and industry [15].…”

Section: Introductionmentioning

confidence: 99%

Research on Modeling and Hierarchical Scheduling of a Generalized Multi-Source Energy Storage System in an Integrated Energy Distribution System

Wang

Liu

et al. 2019

Energies

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Energy storage systems play a crucial role in ensuring stable operation. However, the development of system-level energy storage is hindered due to the restrictions of economy, geography, and other factors. Transitions of traditional power systems into integrated energy distribution systems (IEDS) have provided new solutions to the problems mentioned above. Through intelligent control management methods, the utilization of multi-energy-type resources both on the supply and demand sides shows the potential for equivalent storage characteristics. Inspired by the aggregation principles, this paper aims at proposing a novel model named generalized multi-source energy storage (GMSES), including the modeling and cooperation of three kinds of available resources: conventional energy storage (CES), multi-energy flow resources (MFR), and demand response resources (DRR). Compared with the conventional means of storage, GMSES can be regarded as a more cost-effective and flexible participant in the proposed hierarchical energy scheduling framework that can realize system-level storage services in IEDS. On this basis, a multi-timescale energy scheduling strategy is proposed to reshape the regulation of IEDS operations and deal with the fluctuations caused by renewable energy and loads, where the general parameter serialization (GPS)-based control strategy is utilized to select and control the responsive loads in DRR. Furthermore, a hierarchical scheduling algorithm is developed to generate the optimal set-points of GMSES. Case studies are analyzed in an electricity-gas coupled IEDS. The simulation results show that the coupled co-optimization GMSES model is conducive to achieving the goal of self-management and economical operation, while the influence of the underlying IEDS on the upper energy system is reduced, as the tie-line power fluctuations are smoothed out.

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“…In recent years, with the development of the integration of renewable energy and the growing demand for environmentally-friendly operation, integrated energy systems are believed to be a promising way to satisfy energy customers' demand with high-reliability, high-efficiency and low-cost [1][2][3][4]. Among the different kinds of energy systems, the natural gas system and electric power system play essential roles as the most common options for complementary operation as an integrated electricity-gas system (IEGS) [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A Robust Formulation Model for Multi-Period Failure Restoration Problems in Integrated Energy Systems

2019

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The risks faced by modern energy systems are increasing, primarily caused by natural disasters. As a new form of multi-level energy complimentary utilization, integrated energy systems are attracting more and more attention for their high-efficiency and low-cost. However, due to the deep coupling relationship between systems, they are more susceptible to natural disasters, resulting in a cascading failure. To enhance the resilience of the integrated electricity-gas system, this paper proposes a failure restoration strategy after a natural disaster occurs. First, the temporal constraints of the dispatching model are considered, and the failure restoration problem is molded into a multi-period mixed-integer linear programme, aiming to recover the interrupted loads as much as possible. Second, since the uncertain output of distributed generation sources (DGs) such as wind turbines and photovoltaic systems will threat the reliability of restoration results, the robust formulation model is incorporated to cope with this problem. Third, we propose a new modeling method for radial topology constraints towards failure restoration. Moreover, the Column and Constraints Generation (C&CG) decomposition method is utilized to solve the robust model. Then, the piecewise linearization technique and the linear DistFlow equations are utilized to eliminate the nonlinear terms, providing a model that could be easily solved by an off-shelf commercial solver. The obtained results include the sequence of line/pipeline switchgear actions, the time-series dispatching results of electricity storage system, gas storage system, and the coupling devices including the gas-fired turbine, power to gas equipment. Finally, the effectiveness of the proposed restoration strategy is verified by numerical simulation on a 13-6 node integrated energy system.

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Review of key problems related to integrated energy distribution systems

Cited by 217 publications

References 0 publications

An Energy Optimal Dispatching Model of an Integrated Energy System Based on Uncertain Bilevel Programming

An Energy Optimal Dispatching Model of an Integrated Energy System Based on Uncertain Bilevel Programming

Research on Modeling and Hierarchical Scheduling of a Generalized Multi-Source Energy Storage System in an Integrated Energy Distribution System

A Robust Formulation Model for Multi-Period Failure Restoration Problems in Integrated Energy Systems

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