Short term generation scheduling in photovoltaic-utility grid with battery storage

Marwali, Muhammad; Haili, M.; Shahidehpour, Mohammad; Abdul-Rahman, K.H.

doi:10.1109/59.709099

Cited by 123 publications

(35 citation statements)

References 12 publications

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“…Normally, the long-time wind speed follows Weibull distribution; the illumination intensity follows Beta distribution [27][28]. The corresponding parameter of Weibull and Beta distribution is assumed.…”

Section: Resultsmentioning

confidence: 99%

Optimal Coordination of Intermittent Distributed Generation with Probabilistic Power Flow

Xing¹,

Cheng²,

Zhang³

2015

Journal of Electrical Engineering and Technology

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-This paper analyzes multiple active management (AM) techniques of active distribution network (ADN), and proposes an optimal coordination model of intermittent distributed generation (IDG) accommodation considering the timing characteristic of load and IDG. The objective of the model is to maximize the daily amount of IDG accommodation under the uncertainties of IDG and load. Various active management techniques such as IDG curtailment, on-load tap changer (OLTC) tap adjusting, voltage regulator (VR) tap adjusting, shunt capacitors compensation and so on are fully considered. Genetic algorithm and Primal-Dual Interior Point Method (PDIPM) is used for the model solving. Point estimate method is used to simulate the uncertainties. Different scenarios are selected for the IDG accommodation capability investigation under different active management schemes. Finally a modified IEEE 123 case is used to testify the proposed accommodation model, the results show that the active management can largely increase the IDG accommodation and penetration.

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Section: Resultsmentioning

confidence: 99%

Optimal Coordination of Intermittent Distributed Generation with Probabilistic Power Flow

Xing¹,

Cheng²,

Zhang³

2015

Journal of Electrical Engineering and Technology

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“…The available power output of a wind turbine generator is a function of wind speed. Equation (1) shows the model used to calculate the output power generated by the wind turbine generator [15,16] …”

Section: Parameters Of the Distributed Generationsmentioning

confidence: 99%

Using the Direct Search Method for Optimal Dispatch of Distributed Generation in a Medium-Voltage Microgrid

Huang

Yao

2014

Energies

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This paper proposes a simple and efficient approach for the optimal dispatch in a medium-voltage microgrid (MG) with various types of distributed generation (DG). The fuel costs generated by these DGs are determined using quadratic and linear functions dependent on the types of DGs. Instead of using the traditional Lagrange multiplier method for power system economic dispatch, the proposed direct search method (DSM) approach is able to handle several inequality constraints without introducing any multipliers and furthermore it can solve the non-derivative problems or the fuel cost functions being much more complicated. Accordingly, the DSM is proposed for determining the optimal dispatch of MGs with various types of DG to minimize generation costs under grid-tied and autonomous operations. Results demonstrate that the proposed DSM is a highly suitable and simple approach to determining the optimal dispatch in medium-voltage MGs with various types of DG.

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“…Early studies indicated the unique role that integrated battery and PV systems can play in demand side management activities, and that those developments will most likely impact the performance of electrical power systems [5]. The wholesale trade of electricity is a segment for which a market can exist, and this has led to the development of energy spot exchanges that operate day-ahead auction markets.…”

Section: Introductionmentioning

confidence: 99%

Day-ahead economic scheduling of energy storage

Lampropoulos

Garoufalis

Bosch

et al. 2014

2014 Power Systems Computation Conference

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This article addresses the day-ahead economic optimisation of energy storage systems within the setting of electricity spot markets. The case study is about a lithium-ion battery system integrated in a low voltage distribution grid with residential customers and photovoltaic generation in the Netherlands, whereas the optimisation objective is to maximise revenues from energy arbitrage in the day-ahead auction. Assuming accurate predictions of the photovoltaic generation, the residential load and the market clearing prices, the constrained optimisation problem is formulated as the minimisation of a cost function, and is solved by utilising an internal model of the battery system to plan the future response of the charging and discharging process. Emphasis is given on the effect of the system efficiency, which significantly impacts the economic performance due to energy losses during the charging and discharging cycles.

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Short term generation scheduling in photovoltaic-utility grid with battery storage

Cited by 123 publications

References 12 publications

Optimal Coordination of Intermittent Distributed Generation with Probabilistic Power Flow

Optimal Coordination of Intermittent Distributed Generation with Probabilistic Power Flow

Using the Direct Search Method for Optimal Dispatch of Distributed Generation in a Medium-Voltage Microgrid

Day-ahead economic scheduling of energy storage

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