scholarly journals AC-DC Microgrid Optimal Power Flow

2021 ◽  
Author(s):  
Inderjeet Duggal
Keyword(s):  
Electricity Market ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Minimum Cost ◽  
Electricity Production ◽  
Mixed Integer ◽  
Dc Microgrid ◽  
Power Sources ◽  
Central Production ◽  
Maximum Reliability

Electricity market deregulation has opened the door for novel electricity production schemes within the existing central production paradigm that dominates the electricity power industry. The Microgrid concept allows generation and load located in close vicinity to be organized so that the local load is served as far as possible with local generation. The Microgrid examined in this thesis consists of both AC and DC network components connected using power converters. The varied Microgrid power sources (microturbine generators, PV, battery, power imports from the grid etc.) are scheduled over 24 hours to satisfy load demand at minimum cost and maximum reliability. Towards this end, a dual objective problem is formulated using Fuzzy sets and the final problem takes the form of a Mixed-Integer Nonlinear optimization problem. The interplay between the disparate objectives of minimum cost and maximum reliability and the battery is then examined.

scholarly journals AC-DC Microgrid Optimal Power Flow

2021 ◽  
Author(s):  
Inderjeet Duggal
Keyword(s):  
Electricity Market ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Minimum Cost ◽  
Electricity Production ◽  
Mixed Integer ◽  
Dc Microgrid ◽  
Power Sources ◽  
Central Production ◽  
Maximum Reliability

Electricity market deregulation has opened the door for novel electricity production schemes within the existing central production paradigm that dominates the electricity power industry. The Microgrid concept allows generation and load located in close vicinity to be organized so that the local load is served as far as possible with local generation. The Microgrid examined in this thesis consists of both AC and DC network components connected using power converters. The varied Microgrid power sources (microturbine generators, PV, battery, power imports from the grid etc.) are scheduled over 24 hours to satisfy load demand at minimum cost and maximum reliability. Towards this end, a dual objective problem is formulated using Fuzzy sets and the final problem takes the form of a Mixed-Integer Nonlinear optimization problem. The interplay between the disparate objectives of minimum cost and maximum reliability and the battery is then examined.

Designing the Electricity Market with Energy Storage Devices

2020 ◽  
Vol 12 (12) ◽  
pp. 31-43
Author(s):  
Tatiana A. VASKOVSKAYA ◽  
◽  
Boris A. KLUS ◽  
Keyword(s):  
Energy Storage ◽  
Electricity Market ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Storage Systems ◽  
Energy System ◽  
Energy Storage Systems ◽  
Storage Model ◽  
Optimal Power ◽  
Wide Range

The development of energy storage systems allows us to consider their usage for load profile leveling during operational planning on electricity markets. The paper proposes and analyses an application of an energy storage model to the electricity market in Russia with the focus on the day ahead market. We consider bidding, energy storage constraints for an optimal power flow problem, and locational marginal pricing. We show that the largest effect for the market and for the energy storage system would be gained by integration of the energy storage model into the market’s optimization models. The proposed theory has been tested on the optimal power flow model of the day ahead market in Russia of 10000-node Unified Energy System. It is shown that energy storage systems are in demand with a wide range of efficiencies and cycle costs.

scholarly journals Decentralized Prosumer-Centric P2P Electricity Market Coordination with Grid Security

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4665
Author(s):  
Duarte Kazacos Winter ◽  
Rahul Khatri ◽  
Michael Schmidt
Keyword(s):  
Electricity Markets ◽  
Electricity Market ◽  
Power Flow ◽  
Power Plants ◽  
Optimal Power Flow ◽  
Free Market ◽  
Economic Value ◽  
New Paradigm ◽  
Grid Security ◽  
Virtual Power Plants

The increasing number of prosumers and the accompanying greater use of decentralised energy resources (DERs) bring new opportunities and challenges for the traditional electricity systems and the electricity markets. Microgrids, virtual power plants (VPPs), peer-to-peer (P2P) trading and federated power plants (FPPs) propose different schemes for prosumer coordination and have the potential of becoming the new paradigm of electricity market and power system operation. This paper proposes a P2P trading scheme for energy communities that negotiates power flows between participating prosumers with insufficient renewable power supply and prosumers with surplus supply in such a way that the community welfare is maximized while avoiding critical grid conditions. For this purpose, the proposed scheme is based on an Optimal Power Flow (OPF) problem with a Multi-Bilateral Economic Dispatch (MBED) formulation as an objective function. The solution is realized in a fully decentralized manner on the basis of the Relaxed Consensus + Innovations (RCI) algorithm. Network security is ensured by a tariff-based system organized by a network agent that makes use of product differentiation capabilities of the RCI algorithm. It is found that the proposed mechanism accurately finds and prevents hazardous network operations, such as over-voltage in grid buses, while successfully providing economic value to prosumers’ renewable generation within the scope of a P2P, free market.

scholarly journals Probabilistic Optimal Power Flow for Day-Ahead Dispatching of Power Systems with High-Proportion Renewable Power Sources

2020 ◽  
Vol 12 (2) ◽  
pp. 518
Author(s):  
Yue Chen ◽  
Zhizhong Guo ◽  
Hongbo Li ◽  
Yi Yang ◽  
Abebe Tilahun Tadie ◽  
...  
Keyword(s):  
Power Systems ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Test System ◽  
Power Sources ◽  
Renewable Power ◽  
Point Estimate Method ◽  
Optimal Power ◽  
Simulation Results ◽  
Point Estimation Method

With the increasing proportion of uncertain power sources in the power grid; such as wind and solar power sources; the probabilistic optimal power flow (POPF) is more suitable for the steady state analysis (SSA) of power systems with high proportions of renewable power sources (PSHPRPSs). Moreover; PSHPRPSs have large uncertain power generation prediction error in day-ahead dispatching; which is accommodated by real-time dispatching and automatic generation control (AGC). In summary; this paper proposes a once-iterative probabilistic optimal power flow (OIPOPF) method for the SSA of day-ahead dispatching in PSHPRPSs. To verify the feasibility of the OIPOPF model and its solution algorithm; the OIPOPF was applied to a modified Institute of Electrical and Electronic Engineers (IEEE) 39-bus test system and modified IEEE 300-bus test system. Based on a comparison between the simulation results of the OIPOPF and AC power flow models; the OIPOPF model was found to ensure the accuracy of the power flow results and simplify the power flow model. The OIPOPF was solved using the point estimate method based on Gram–Charlier expansion; and the numerical characteristics of the line power were obtained. Compared with the simulation results of the Monte Carlo method; the point estimation method based on Gram–Charlier expansion can accurately solve the proposed OIPOPF model

Optimal Power Flow Based Economic Generation Scheduling in Day-ahead Power Market

2017 ◽  
Vol 6 (3) ◽  
pp. 124
Author(s):  
Kshitij Choudhary ◽  
Rahul Kumar ◽  
Dheeresh Upadhyay ◽  
Brijesh Singh
Keyword(s):  
Power System ◽  
Electricity Market ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Congestion Management ◽  
Test Results ◽  
Loss Minimization ◽  
Optimal Power ◽  
Generation Scheduling ◽  
Generation Cost

The present work deals with the economic rescheduling of the generation in an hour-ahead electricity market. The schedules of various generators in a power system have been optimizing according to active power demand bids by various load buses. In this work, various aspects of power system such as congestion management, voltage stabilization and loss minimization have also taken into consideration for the achievement of the goal. The interior point (IP) based optimal power flow (OPF) methodology has been used to obtain the optimal generation schedule for economic system operation. The IP based OPF methodology has been tested on a modified IEEE-30 bus system. The obtained test results shows that not only the generation cost is reduced also the performance of power system has been improved using proposed methodology.

Security Enhanced OPF with Transmission Cost Solution under Bilateral and Multilateral Transactions

2014 ◽  
Vol 573 ◽  
pp. 734-740
Author(s):  
J. Bastin Solai Nazaran ◽  
K. Selvi
Keyword(s):  
Electricity Market ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Operating Conditions ◽  
Human Group ◽  
Transmission Cost ◽  
Intelligent Technique ◽  
Optimal Power ◽  
Deregulated Electricity Market ◽  
Generation Cost

In a deregulated electricity market, it is important to dispatch the generation in an economical manner. While dispatching it is also important to ensure security under different operating conditions. In this study intelligent technique based solution for optimal power flow is attempted. Transmission cost is calculated using Bialek’s upstream tracing method. Generation cost, transmission costs are combined together for pre and post contingency periods to form objective function. Different bilateral and multilateral conditions are considered for analysis. A human group optimization algorithm is used to find the solution of the problem. IEEE 30 bus system is taken as test systems.

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