Chance-Constraint Volt-VAR Optimization in PV-Penetrated Distribution Networks

Najafi, Soroush; Lakouraj, Mohammad Mansour; Sedgh, Seyed Amin; Livani, Hanif; Benidris, Mohammed; Fadali, M. Sami

doi:10.1109/kpec54747.2022.9814811

Cited by 5 publications

(7 citation statements)

References 12 publications

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“…Thus, the authors propose a new multi-objective Particle Swarm optimization to optimally place battery energy storage systems as a means to make the distribution system more balanced, improve voltage profile, and reduce losses due to high PV penetration. Several works aim to optimize distribution networks with high solar PV penetration [24][25][26].…”

Section: Literature Surveymentioning

confidence: 99%

“…Economic benefits of integrating the use of DC DERs into distribution systems [5][6][7][8][9][10][11] Optimal siting and design of grid-connected PV systems [12][13][14][15][16][22][23][24][25][26] PV output research [17][18][19][20][21] Techno-economic feasibility of an AC/DC hybrid distribution network [27][28][29][30][31][32][33] Optimal control of DC-DC, and AC-DC converters supporting DC distribution [8,[34][35][36][37][38][39] DC distribution-Analysis and optimization [40][41][42][43][44][45][46][47] To the best of the authors' knowledge, there are no existing works that present a coordinated optimization tool for the control of voltage controllers in DC distributed networks incorporating solar PV systems, such that solar power is maximized, and substation power is minimized.…”

Section: Literature Surveymentioning

confidence: 99%

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Coordinated optimization model for solar PV systems integrated into DC distribution networks

Achiluzzi,

Venkatesh

2023

The Journal of Engineering

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Solar photovoltaic (PV) systems will drive deep electrification of energy systems leading to clean energy 2050. However, connecting large amounts of solar PV systems on direct current (DC) networks, like solar farms and potential future DC distribution systems, would lead to over voltages and loss of solar PV power output due to voltage issues. Further, current PV integration within distribution networks operate exclusively to maximize output using maximum power point tracking algorithms, without network coordination, which may lead to reduced solar output due to voltage issues. Here, a coordinated optimization model for solar PV systems and distribution network voltage regulators is presented. The proposed model optimally controls the settings of voltage controllers (DC‐DC converters), placed at the outputs of solar PV units and selected distribution lines, while maximizing solar power output and minimizing substation power (i.e. system losses). The solar PV systems are modelled using a trained neural network. Testing various systems against uncoordinated situations revealed that the proposed model yielded an increase in solar power of up to 60.06%, in the 28‐bus case. The proposed method will be an excellent tool enabling deep electrification using solar PV system and it overcomes limitations of uncoordinated systems used in practice today.

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Section: Literature Surveymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Coordinated optimization model for solar PV systems integrated into DC distribution networks

Achiluzzi,

Venkatesh

2023

The Journal of Engineering

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“…The proposed P2P trading market supports the grid operation regarding loss reduction, voltage support, and congestion management. Voltage regulation and loss reduction are important objectives for utilities [6]. In [7], multiclass energy management to coordinate energy trading among prosumers with heterogeneous preferences in the P2P energy market was studied.…”

Section: Related Workmentioning

confidence: 99%

“…Relations ( 6)- (10) describe the constraints of the energy storage system [28]. Relation (6) determines the energy level of the storage system per hour, which depends on charge and discharge levels at that hour and the remaining energy from the previous hour. Constraints (7)-( 9) represent the minimum and maximum energy storage levels per hour and the maximum charge and discharge levels per hour [29].…”

Section: Retailer Modelmentioning

confidence: 99%

Novel Decentralized Peer-to-Peer Gas and Electricity Transaction Market between Prosumers and Retailers Considering Integrated Demand Response Programs

et al. 2023

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This paper proposes a novel peer-to-peer (P2P) decentralized energy market consisting of retailers and prosumers considering integrated demand response (IDR). Retailers can trade electrical energy and gas with prosumers in a P2P way to maximize their welfare. Since they are equipped with electrical storage and power self-generation units, they can benefit from selling power not only to the upstream network but also to prosumers. In peer-to-peer transactions, the prosumers purchase electricity as well as gas from retailers. Because of their access to the competitive retail market, including some retailers, they enjoy more freedom to reduce their energy supply cost. In addition, the prosumers are equipped with an energy hub consisting of combined heat and power (CHP) units and electric pumps, allowing them to change their energy supply according to price fluctuations. Furthermore, they have some changeable electrical and thermal load enabling them to change their load if needed. To clear the proposed P2P decentralized market, a fully decentralized approach called the fully decentralized alternating direction method of multipliers (ADMM) is applied. This method does not require a supervisory entity and, thus, preserves the players’ private information. The numerical studies performed on a system with two retailers and multiple prosumers demonstrate the feasibility and effectiveness of the proposed decentralized market. The results also show that the proposed decentralized algorithm achieves the optimal global solution, compared with the centralized approach.

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“…Insufficient reactive power compensation can lead to voltage drops, reducing the power system's static stability limit and, consequently, Energies 2024, 17, 2316 2 of 14 affecting its stability. Conversely, excessive reactive power might cause an overvoltage, damaging the insulation of electrical equipment and shortening its lifespan [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Reactive Power Optimization in Distribution Networks of New Power Systems Based on Multi-Objective Particle Swarm Optimization

Li,

Xiong

2024

Energies

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The new power system effectively integrates a large number of distributed renewable energy sources, such as solar photovoltaic, wind energy, small hydropower, and biomass energy. This significantly reduces the reliance on fossil fuels and enhances the sustainability and environmental friendliness of energy supply. Compared to distribution networks in traditional power systems, the new-generation distribution network offers notable advantages in improving energy efficiency, reliability, environmental protection, and system flexibility, but it also faces a series of new challenges. These challenges include potential harmonic issues introduced by the widespread use of power electronic devices (such as inverters for renewable energy generation systems and electric vehicle charging stations) and the voltage fluctuations and flickering caused by the intermittency and uncertainty of renewable energy generation, which may affect the normal operation of electrical equipment. To address these challenges, this study proposes an optimization model aimed at minimizing network losses and voltage deviations, utilizing traditional capacitor adjustments and static var compensators (SVCs) as optimization measures. Furthermore, this study introduces an improved version of the multi-objective particle swarm optimization (MOPSO) algorithm, specifically enhanced to address the unique challenges of reactive power optimization in modern distribution networks. The test results show that this algorithm can effectively generate a large number of Pareto optimal solutions. The application of this algorithm on a 33-node network case study demonstrates its advantages in reactive power optimization. The optimization results highlight the effectiveness and feasibility of the proposed improved algorithm in the application of distribution network reactive power optimization, offering users a uniform and diverse range of reactive compensation solutions.

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Chance-Constraint Volt-VAR Optimization in PV-Penetrated Distribution Networks

Cited by 5 publications

References 12 publications

Coordinated optimization model for solar PV systems integrated into DC distribution networks

Coordinated optimization model for solar PV systems integrated into DC distribution networks

Novel Decentralized Peer-to-Peer Gas and Electricity Transaction Market between Prosumers and Retailers Considering Integrated Demand Response Programs

Reactive Power Optimization in Distribution Networks of New Power Systems Based on Multi-Objective Particle Swarm Optimization

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