Multi-Stage Distributionally Robust Stochastic Dual Dynamic Programming to Multi-Period Economic Dispatch With Virtual Energy Storage

Ding, Tao; Zhang, Xiaosheng; Lu, Runzhao; Qu, Ming; Shahidehpour, Mohammad; He, Yuanqiong; Chen, Tianen

doi:10.1109/tste.2021.3105525

Cited by 80 publications

(14 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When IACs are used for frequency regulation, as shown in (9), they can regulate the indoor temperature and power system frequency by tuning the parameters 1 K and 2 K , which can be replaced by controllers such as proportionalintegral (PI) and MPC controllers. However, in [14] the authors demonstrate that the MPC controller has the performance effects of regulating the indoor temperature and frequency deviations over the PI controller.…”

Section: Mpc-based Vess For Virtual Inertia and Frequency Regulationmentioning

confidence: 99%

“…Recently, virtual energy storage systems (VESS) for power system ancillary services have been proposed by several researchers [7][8][9][10][11][12]. A VESS is a cost-effective method for emulating the functions of a conventional ESS [7][8][9]. A VESS can adjust its generation output or load to satisfy power system requirements for ancillary services.…”

Section: Introductionmentioning

confidence: 99%

“…A VESS can adjust its generation output or load to satisfy power system requirements for ancillary services. Ding et al [9] proposed a VESS for multi-period economic dispatch. A VESS applied to the energy management of an optimally sized DC grid is presented in [10].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

MPC-Based Virtual Energy Storage System Using PV and Air Conditioner to Emulate Virtual Inertia and Frequency Regulation of the Low-Inertia Microgrid

2022

View full text Add to dashboard Cite

Grid-connected large-scale power converter-based intermittent renewable energy sources (RES) reduce system inertia, increase frequency fluctuation, and increase the rate of change of frequency (RoCoF). An energy storage system (ESS) is an indispensable component of a smart grid, and is used to overcome low-inertia problems. However, the capital and maintenance costs of ESS are high and high RoCoF events are less frequent in power systems. Therefore, the introduction of a virtual energy storage system (VESS) to provide the function of a conventional ESS for power system ancillary services is an innovative and cost-effective method. This study investigated a VESS using photovoltaic (PV) generators and inverter air conditioners (IACs) to provide virtual inertia and frequency regulation for a low-inertia microgrid. A model predictive control (MPC)-based VESS regulates indoor temperature, microgrid frequency, and RoCoF. The impact of parameter variation, that is, the microgrid frequency weight, indoor temperature weight, virtual inertia gain, and number of IACs, was studied and selected by considering the ability of the parameters to provide virtual inertia and frequency regulation. Finally, the efficiency and robustness of the proposed MPC-based VESS technique are compared with those of a conventional VESS. Simulation results revealed that the proposed MPC-based VESS can improve the virtual inertia, reduce the frequency deviation, and reduce the RoCoF of the studied microgrid. In addition, the proposed method is robust to variations in the system parameters.INDEX TERMS Virtual energy storage system, virtual inertia emulator, load frequency control, inverter air conditioner, photovoltaics generator, microgrid

show abstract

Section: Mpc-based Vess For Virtual Inertia and Frequency Regulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

MPC-Based Virtual Energy Storage System Using PV and Air Conditioner to Emulate Virtual Inertia and Frequency Regulation of the Low-Inertia Microgrid

2022

View full text Add to dashboard Cite

show abstract

“…Many studies have focused on methods for forecasting RE output and load-side demand (Zang et al, 2020;Zang et al, 2021). In addition to this, increasing the operational flexibility of MGs is an unavoidable key aspect of dealing with uncertainties (Wang and Hodge, 2017;Ding et al, 2022). The application of multi-energy microgrid (MEMG) provides an important avenue to improve operational flexibility.…”

Section: Open Accessmentioning

confidence: 99%

A robust flexibility evaluation method for distributed multi-energy microgrid in supporting power distribution system

Wang

Zhao

et al. 2023

Front. Energy Res.

View full text Add to dashboard Cite

Today’s power system is facing various challenges brought by large-scale renewable energy (RE) integration, which brings higher demand for flexibility. With the energy network gradually showing its distributed structural characteristics, multi-energy microgrids (MEMG) become an important component to effectively utilize distributed energy sources and supplement the flexibility of power distribution system (PDS). To effectively harness the operational flexibility of distributed MEMGs, we propose in this paper an evaluation method to quantify the flexibility capability of MEMG. A virtually established MG flexibility bus (MG-FB) is endowed with MG flexibility parameters (MG-FPs), which can reflect the flexibility characteristics of MEMG. To consider the impact of operational uncertainty on MG-FPs, a two-stage adaptive robust optimization (ARO) model is proposed, which can be solved by the C&CG algorithm. The results of a typical test system show the influence of system configuration, operator’s risk preference, and other factors on the values of MG-FPs. Besides, we illustrate the effectiveness and applicability of the proposed framework in modeling and quantifying the operational flexibility of MEMG to support the operation of the upstream network.

show abstract

“…Ref. [11] adopted a multi-stage optimization method to overcome uncertainties and realized the day-ahead economic dispatch. Scenario-based scheme is also one of the economic dispatch methods aimed at alleviating the problem of power fluctuations [12][13] .…”

mentioning

confidence: 99%

Two-stage Correction Strategy-based Real-time Dispatch for Economic Operation of Microgrids

Sun

Liu

et al. 2022

Chin. J. Electr. Eng.

View full text Add to dashboard Cite

Given the different energy rates of multiple types of power generation units, different operation plans affect the economy of microgrids. Limited by load and power generation forecasting technologies, the economic superiority of day-ahead plans is unable to be fully utilized because of the fluctuation of loads and power sources. In this regard, a two-stage correction strategy-based real-time dispatch method for the economic operation of microgrids is proposed. Based on the optimal day-ahead economic operation plan, unbalanced power is validly allocated in two stages in terms of power increment and current power, which maintains the economy of the day-ahead plan. Further, for operating point offset during real-time correction, a rolling dispatch method is introduced to dynamically update the system operation plan. Finally, the results verify the effectiveness of the proposed method.

show abstract

Multi-Stage Distributionally Robust Stochastic Dual Dynamic Programming to Multi-Period Economic Dispatch With Virtual Energy Storage

Cited by 80 publications

References 49 publications

MPC-Based Virtual Energy Storage System Using PV and Air Conditioner to Emulate Virtual Inertia and Frequency Regulation of the Low-Inertia Microgrid

MPC-Based Virtual Energy Storage System Using PV and Air Conditioner to Emulate Virtual Inertia and Frequency Regulation of the Low-Inertia Microgrid

A robust flexibility evaluation method for distributed multi-energy microgrid in supporting power distribution system

Two-stage Correction Strategy-based Real-time Dispatch for Economic Operation of Microgrids

Contact Info

Product

Resources

About