Sizing optimization for island microgrid with pumped storage system considering demand response

Jing, Zhaoxia; Zhu, Jisong; Hu, Rongxing

doi:10.1007/s40565-017-0349-1

Cited by 40 publications

(20 citation statements)

References 9 publications

(19 reference statements)

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“…The energy stored in a building depends on the thermal performance of the wall and the heating and ventilation system. The use of building structure for thermal storage is a key energy storage technology as it can improve the penetration of renewable energy and reduce the produc-tion and distribution problems [29]. In [28], the power shifting of energy storage is analyzed which has a great load transfer potential in cold weather due to the high heat demand and varying operational time.…”

Section: B Load Shiftingmentioning

confidence: 99%

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Integrated Demand Response Characteristics of Industrial Park: A Review

Chen¹,

Sun

Xin

et al. 2020

Journal of Modern Power Systems and Clean Energy

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With the gradual upgradation of global energy consumption and the associated development of multi-energy sources, the pace of unified energy planning and design has been accelerated and the concept of multi-energy system (MES) has been formed. The industrial structure of industrial park (IP) consists of production and marketing of multi-energy sources, which makes IP become an ideal application scenario for MES. The coupling between multi-sources raises the complexity level of IP, which requires the demand side analysis in IP as it enables customers to actively participate in energy planning and development. This paper presents the concept and operation strategies of integrated demand response (IDR), and its model classification is analyzed in detail. Optimization model and IDR with varying time period are studied in IP to determine their impacts on the system. A detailed survey of different techniques in both operation strategies and model classification is presented and the classification is based on pros and cons. Finally, key issues and outlooks are discussed. Index Terms-Industrial park (IP), multi-energy system (MES), integrated demand response (IDR), integrated direct load control (IDLC), demand side management (DSM), demand side comfort index.

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Section: B Load Shiftingmentioning

confidence: 99%

“…Demand inhibition [18], [20]- [23] Load shifting [21]- [29], [32]- [34], [48], [49] Multi-energy conversion [35]- [44] Multi-building coordination in IP [45], [46], [70] Potential advantage…”

Section: Modelmentioning

confidence: 99%

Integrated Demand Response Characteristics of Industrial Park: A Review

Chen¹,

Sun

Xin

et al. 2020

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

show abstract

“…[18] for its separated local and global iterative process which guarantees convergence accuracy. Mixed Integer Linear Programming is another popular technique -it involves the use of some linearisation approach to convert the nonlinear models into linear models [11], [12], [19]. Particle swarm optimisation, a heuristic approach, has also been proposed in the literature [19], [20].…”

Section: Introductionmentioning

confidence: 99%

Smart Control of an Electric Vehicle for Ancillary Service in DC Microgrid

Nduka

Pal

2020

IEEE Access

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This paper presents a two-stage framework for optimal Electric Vehicle (EV) charging/discharging strategy for DC Microgrid (MG) with Distributed Generators (DGs). A multi-objective optimisation task aimed at minimising system losses and EV battery degradation with Vehicle-to-Grid (V2G) peak shaving service has been realised. This coordinated EV integration into the DCMG was formulated as a directed weighted single source shortest path problem that was solved using a modified Dijkstra's algorithm. The weights of the edges were obtained using primal-dual interior point method. The proposed framework has been experimentally verified using simulations with a test DCMG system with practical IEEE European low voltage test feeder load profiles. Results show realisation of peak demand shaving leveraging on EV discharge with minimal on-board battery degradation as well as reduced system losses. It is also shown that the proposed two-stage framework reduces the battery state of charge (SOC) sample space requirements in the analysis, thus, reducing the computational burden.

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“…It is presumed in [17] that the aggregator sells electricity to consumers at a predefined retail rate. A microgrid optimization model is proposed in [18,19], which directly assumes the deferrable and interruptible loads as sources of DR but ignores consumer behavior. Demand side flexibility is studied in [20] using a DG planning model combined with a unit commitment and economic dispatch model, but the demand side flexibility is investigated via four enumerated possible cases, which simplified the DR situation and neglected the interaction between the DSO and consumers.…”

Section: Introductionmentioning

confidence: 99%

Distributed generation planning for diversified participants in demand response to promote renewable energy integration

Dang

Wang

Shao

et al. 2019

J. Mod. Power Syst. Clean Energy

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In modern distribution system, the distribution system operator (DSO) acts as a market facilitator and data manager as well as an energy supplier and operation controller. In this circumstance, the DSO should comprehensively consider the diversified participants of the modern distribution system when making investment decisions of distributed generation (DG). This paper proposes a DG planning model considering the behavior of the diversified participants, which are motivated to cooperate with distributed renewable energy resources to promote their integration, and to achieve the optimal DG investment plan. The optimization model takes a centralized structure but fully considers the preferences, profits and comfort levels of the aggregators and consumers. The model is linearized into a mixed-integer linear programming (MILP) problem and is solved by CPLEX. Results of the case study show that when the DSO spares subsidies to the aggregators and consumers to encourage their participation in demand response (DR) programs, it earns more compared with providing no subsidies for DR participation. It is also demonstrated that the overall profit increases as the subsidies increase within a certain range, but decreases when the subsidies exceed this range. Therefore, the DSO needs to carefully choose the subsidization level to achieve the optimal utilization of renewable energy and demand flexibility. The optimal subsidization level is derived from the model proposed in this paper. Therefore, this paper puts forward a new pattern to utilize the distributed renewable energy sources, and provides guidance in policy making and DR program implementation.

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Sizing optimization for island microgrid with pumped storage system considering demand response

Cited by 40 publications

References 9 publications

Integrated Demand Response Characteristics of Industrial Park: A Review

Integrated Demand Response Characteristics of Industrial Park: A Review

Smart Control of an Electric Vehicle for Ancillary Service in DC Microgrid

Distributed generation planning for diversified participants in demand response to promote renewable energy integration

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