Multi-Stage Quadratic Flexible Optimal Power Flow With a Rolling Horizon

Zhong, Chiyang; Meliopoulos, A. P. Sakis; Xie, Boqi; Xie, Jiahao; Liu, Kaiyu

doi:10.1109/tsg.2021.3059255

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…Thermal characteristics of the HVAC systems are modelled by a first order discrete temperature model in (16). Let τ b,t be the temperature of the building, τ out b,t be the ambient temperature, p he b,t , p co b,t be the heating and cooling power, R b , C b , be thermal constants and η he b , η co b are efficiencies of the heating and cooling [44]. Then, the HVAC system is modelled by, Her research is focused on AI for smart grids with interests in optimal energy management strategies, advanced methods for energy and consumption forecasting and renewable sources integration with the grid.…”

Section: Discussionmentioning

confidence: 99%

Stacking Revenues From Flexible DERs in Multi-Scale Markets Using Tri-Level Optimization

Paredes

Aguado

Essayeh

et al. 2024

IEEE Trans. Power Syst.

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Rapid proliferation of flexible Distributed Energy Resources (DERs) as a result of Net Zero Emissions objectives entails a profound shift in the paradigm of local and national energy systems. Currently, DERs' simultaneous participation in multiple markets is generally restricted, which undermines their profitability. With the aim of increasing the number of business cases for them, a tri-level optimization problem that seeks the maximisation of revenues from DERs is proposed. The optimization problem considers simultaneous participation of different flexible DERs, such as, Electric Vehicles (EVs), Battery Energy Storage Systems (BESSs) and Heating, Ventilation and Air Conditioning (HVACs), in national and local markets. Markets are cleared sequentially, and the model is recast into a tractable single-level problem using its dual formulation and strong duality condition. Results from a case study based on the IEEE 14 bus transmission network, a realistic distribution network and SimBench dataset demonstrate the effectiveness of the proposed approach in increasing profits compared with a baseline scenario.

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Section: Discussionmentioning

confidence: 99%

Stacking Revenues From Flexible DERs in Multi-Scale Markets Using Tri-Level Optimization

Paredes

Aguado

Essayeh

et al. 2024

IEEE Trans. Power Syst.

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“…In addition to the basic methods such as LP, QP [69], NLP, MINLP [76], and MILP, some papers deal with problems that reduce to the basic ones (see Table 4). In [65], SLP is developed to solve the optimization problem in real time. To obtain global optima, SQP has been developed in [38].…”

Section: Methodsmentioning

confidence: 99%

“…Objectives Variables [65] single-objective min VD PV inverter reactive power, OLTC [38] multi-objective min losses, min VD, min VUF, min PV generation cost, min PV APC cost PV inverter reactive power [66] multi-objective min losses, min VD, improvement VSI PV inverter reactive power and static compensator [53,54,[67][68][69] multi-objective min losses, min VD PV inverter reactive power [70] multi-objective min VD, min losses PV inverter reactive power, CBs, and OLTC [71] single-objective min VUF PV inverter active and reactive power, power injected by TS [72] single-objective min VD PV inverter reactive power [73] multi-objective min losses, min cost of APC and generated/consumed reactive power, min VD PV inverter reactive power [74] multi-objective min VD, min voltage unbalance PV inverter reactive power, OLTC, VR, and CB [75] multi-objective min losses, min VD, min VUF PV inverter reactive power [32] single-objective min VUF PV inverter reactive power [76] single-objective min VD PV inverter reactive power, OLTC [77] multi-objective min losses, min VD, min control action of OLTC and SC PV inverter reactive power, OLTC, SC [78] single-objective min VD PV inverter reactive power, OLTC [79] multi-objective min VD, min losses PV inverter reactive power, OLTC, and SC [57] multi-objective min VD, min losses, min reactive power injection, and absorption PV inverter reactive power [80] multi-objective min VD, min losses PV inverter reactive power, OLTC [81] single-objective min VD PV inverter reactive power, OLTC, and VR [58] multi-objective min VD, min losses, min APC PV inverter reactive power, OLTC and CB [55] multi-objective min VD, min losses PV and EV inverter reactive power, the compensation device [56] multi-objective min VD, min OLTC tap operation PV inverter reactive power, OLTC [82] single-objective min VD PV inverter reactive power, charge/discharge rate of ESS [83] multi-objective min losses, min VUF PV inverter reactive power [34] multi-objective min cost, min losses, min cost associated with active power s...…”

Section: Reference Single/ Multi-objectivementioning

confidence: 99%

Voltage Optimization in PV-Rich Distribution Networks—A Review

et al. 2022

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There is a rising trend to integrate different types of distributed generation (DG), especially photovoltaic (PV) systems, on the roofs of existing consumers, who then become prosumers. One of the prosumer impacts is voltage violations, which conventional strategies find hard to solve. However, some prosumers, such as those with PV with inverters in their configurations, can actively participate in voltage optimization. To help find the optimal PV inverter setting with the objective of voltage optimization, an optimal power flow (OPF) can be a promising and reliable tool. This paper tries to shed light on the complex problem of voltage optimization in distribution networks (DNs) with PV prosumers. Relevant scientific papers are analyzed and optimization characteristics such as objective functions, variables, and constraints are summarized. Special attention is given to the systematization and classification of papers according to the mathematical formulation of the optimization problem (linear, nonlinear, integer, etc.) and the applied solving methods. Both analytical and computational intelligence optimization methods as well as their advantages and limitations are considered. Papers are also categorized according to the distribution network model used for testing the developed solutions.

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“…The paper in [14] introduces a groundbreaking approach to optimal power flow (OPF) in power systems, emphasizing real-time application. The authors propose a multi-stage quadratic flexible OPF (MQFOPF) framework, characterized by an object-oriented device modeling approach.…”

Section: Advanced Hierarchical and Predictive Controlmentioning

confidence: 99%

Voltage Optimization in Active Distribution Networks—Utilizing Analytical and Computational Approaches in High Renewable Energy Penetration Environments

Alshehri,

Yang

2024

Energies

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This review paper synthesizes the recent advancements in voltage regulation techniques for active distribution networks (ADNs), particularly in contexts with high renewable energy source (RES) penetration, using photovoltaics (PVs) as a highlighted example. It covers a comprehensive analysis of various innovative strategies and optimization algorithms aimed at mitigating voltage fluctuations, optimizing network performance, and integrating smart technologies like smart inverters and energy storage systems (ESSs). The review highlights key developments in decentralized control algorithms, multi-objective optimization techniques, and the integration of advanced technologies such as soft open points (SOPs) to enhance grid stability and efficiency. The paper categorizes these strategies into two main types: analytical methods and computational methods. In conclusion, this review underscores the critical need for advanced analytical and computational methods in the voltage regulation of ADNs with high renewable energy penetration levels, highlighting the potential for significant improvements in grid stability and efficiency.

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Multi-Stage Quadratic Flexible Optimal Power Flow With a Rolling Horizon

Cited by 6 publications

References 17 publications

Stacking Revenues From Flexible DERs in Multi-Scale Markets Using Tri-Level Optimization

Stacking Revenues From Flexible DERs in Multi-Scale Markets Using Tri-Level Optimization

Voltage Optimization in PV-Rich Distribution Networks—A Review

Voltage Optimization in Active Distribution Networks—Utilizing Analytical and Computational Approaches in High Renewable Energy Penetration Environments

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