Investigation of optimal power flow solution techniques considering stochastic renewable energy sources: Review and analysis

Maheshwari, Ankur; Sood, Yog Raj; Jaiswal, Supriya

doi:10.1177/0309524x221124000

Cited by 18 publications

(8 citation statements)

References 80 publications

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“…In OPF, Mohamed et al [22] identify the proper ratings and locations for FACTS (TCSC/TCPS/SVC) devices. The OPF problem in the IEEE-30 bus is analysed by Ankur Maheshwari [23], accounting for solar PV, wind turbine, and (TES) tidal energy systems. According to Serhat Duman [24] research, test scenarios for RES are implemented using IEEE 30-bus and 57-bus test systems to propose solutions for the securityconstrained OPF.…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Frequency Constrained Optimal Power Flow Incorporating UPFC Controller Using Driving Training-Based Optimization

Roy,

Dutta,

Bhattacharya

et al. 2024

Preprint

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Optimal power flow (OPF) solution is being attained for IEEE 30-bus system considering thermal power (TP) sources. This paper presents a methodology to incorporate UPFC with frequency-based security constraints in the OPF problem framework. Objectives include reducing generation costs, emissions, and frequency deviation. This paper has looked at three different scenarios: the best power flow when there is no frequency-based security limitation, the best power flow when there is a frequency-based security constraint, and the combination of UPFC and frequency-based security constraint. It is necessary to maintain the system frequency within a safe range in order to display the balance between generation and consumption. Therefore, the power flow optimization solution should provide frequency stability in addition to provide the lowest possible generation cost under operational conditions. To achieve this solution, a new constraint is implemented on the power dispatch problem to achieve frequency stability. The inclusion of this limitation is demonstrated to induce the OPF to choose greater inertia generators more favorably when it comes to meet the frequency based security criterion. Outcomes of the test reveal a better result in resolving the OPF problem, by incorporating a unified power flow controller (UPFC) with frequency-based security constraint OPF problem. A driving training-based optimization (DTBO) approach has been employed to obtain optimal solutions without violating any equality and inequality network constraints.

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Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Frequency Constrained Optimal Power Flow Incorporating UPFC Controller Using Driving Training-Based Optimization

Roy,

Dutta,

Bhattacharya

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…In an effort to address the issue of insufficient supply from traditional power sources, renewable energy sources (RESs) are a very promising option to explore. However, their intermittent nature presents a number of difficulties in power system planning and management [47]. As a result, to address this problem, the modelling strategy used in this study takes the shading of incoming solar irradiance into consideration.…”

Section: Case Studymentioning

confidence: 99%

Optimal Power Flow Management for a Solar PV-Powered Soldier-Level Pico-Grid

Kunatsa,

Myburgh,

De Freitas

2024

Energies

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Users ought to decide how to operate and manage power systems in order to achieve various goals. As a result, many strategies have been developed to aid in this regard. Optimal power flow management is one such strategy that assists users in properly operating and managing the supply and demand of power in an optimal way under specified constraints. However, in-depth research on optimal power flow management is yet to be explored when it comes to the supply and demand of power for the bulk of standalone renewable energy systems such as solar photovoltaics, especially when it comes to specific applications such as powering military soldier-level portable electronic devices. This paper presents an optimal power flow management modelling and optimisation approach for solar-powered soldier-level portable electronic devices. The OPTI toolbox in MATLAB is used to solve the formulated nonlinear optimal power flow management problem using SCIP as the solver. A globally optimal solution was arrived at in a case study in which the objective function was to minimise the difference between the power supplied to the portable electronic device electronics and the respective portable electronic device power demands. This ensured that the demand for solar-powered soldier-level portable electronic devices is met at all times in spite of the prohibitive case scenarios’ circumstances under the given constraints. This resolute approach underscores the importance placed on satisfying the demand needs of the specific devices while navigating and addressing the limitations posed by the existing conditions or constraints. Soldiers and the solar photovoltaic user fraternity at large will benefit from this work as they will be guided on how to optimally manage their power systems’ supply and demand scenarios. The model developed herein is applicable to any demand profile and any number of portable electronic device and is adaptable to any geographical location receiving any amount of solar radiation.

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“…where C i ( P Ti ) and C k ( P W , k ) represents the thermal and wind power generation cost, respectively (Maheshwari et al, 2023c). λ i represents incremental cost at i th bus.…”

Section: Problem Formulation and Optimization Techniquementioning

confidence: 99%

“…RESs not only address environmental concerns but also cater to the escalating global energy requirements. Among these renewable sources, wind energy sources have gained significant prominence within the power sector, offering a cost-effective means to meet the growing energy demands of consumers (Saini and Rahi, 2023).…”

Section: Introductionmentioning

confidence: 99%

Social welfare maximization in deregulated power market incorporating wind power plants using metaheuristic algorithm

Raturi,

Jarial,

Sood

et al. 2023

Wind Engineering

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The increasing integration of renewable energy sources (RESs), particularly wind power plants (WPP), into deregulated power markets introduces complexities in optimizing social welfare (SW). This article proposes a recent metaheuristic algorithm to address this challenge and maximize SW while accounting for the presence of WPP and the inherent uncertainty associated with wind power forecasting. The proposed algorithm optimizes generation scheduling and demand-side bidding strategies in the deregulated power market to maximize SW while ensuring economic efficiency. To validate the effectiveness and robustness of the proposed algorithm, MATLAB simulations are conducted on IEEE 30 and IEEE 118-bus systems. The results demonstrate that the proposed algorithm provides promising solutions for maximizing SW, especially in the context of incorporating WPP. This research contributes to the advancement of power market optimization methods and promotes the seamless integration of RESs, fostering a more sustainable energy future.

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Investigation of optimal power flow solution techniques considering stochastic renewable energy sources: Review and analysis

Cited by 18 publications

References 80 publications

WITHDRAWN: Frequency Constrained Optimal Power Flow Incorporating UPFC Controller Using Driving Training-Based Optimization

WITHDRAWN: Frequency Constrained Optimal Power Flow Incorporating UPFC Controller Using Driving Training-Based Optimization

Optimal Power Flow Management for a Solar PV-Powered Soldier-Level Pico-Grid

Social welfare maximization in deregulated power market incorporating wind power plants using metaheuristic algorithm

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