Distributed Real-Time Power Flow control with renewable integration

Nakayama, Kiyoshi; Zhao, Changhong; Bic, Lubomir; Dillencourt, Michael B.; Brouwer, Jack

doi:10.1109/smartgridcomm.2013.6688010

Cited by 7 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Reference [9] provides a proof of concept based on the IEEE 14 bus system. In [10], the integration of ESS and RES is jointly investigated and simulated. Many applied research projects and demonstrators are as well producing efforts to test the feasibility and sustainability of storage integration (see e.g.…”

Section: Nomenclature E Pvmentioning

confidence: 99%

“…u min ≤ u(k) ≤ u max (10) where the column vector u(k) is the optimization vector given by the collection of control variables P s over the control horizon (u(k) = [P s (k),…”

Section: Mpc Iterationmentioning

confidence: 99%

“…after writing x(k (1) as function of the current state x(k) and of the control sequence {P s (k), P s (k + 1), ..., P s (k + i − 1)}). In a similar way, constraints (3)-(5) can be put in the form of the equality constraints (9), while the set of bounds (6) can be put in the form of the inequality constraints (8) and the box constraints (10). H, f, A ineq , B ineq , A eq , B eq are coefficient matrices and vectors of proper dimensions and are updated at each iteration.…”

Section: Mpc Iterationmentioning

confidence: 99%

See 2 more Smart Citations

Model Predictive Control of Energy Storage Systems for Power Tracking and Shaving in Distribution Grids

Giorgio

Liberati

Lanna

et al. 2017

IEEE Trans. Sustain. Energy

View full text Add to dashboard Cite

In this paper, a model predictive control (MPC)\ud strategy is proposed to control the energy flows in a distribution\ud network node (e.g. a distribution substation) equipped with an\ud electric storage system (ESS) and serving a portion of the grid\ud with high penetration of renewable energy sources (RES). The\ud aim is to make the power flow at node level more controllable in\ud spite of the presence of fluctuating distributed energy resources.\ud In particular, the proposed control strategy is such that the\ud controlled power flow at node level tracks the profile established\ud on a day-ahead basis for efficient operation of the grid. That is\ud achieved by letting the MPC controller decide the current storage\ud power setpoint based on the forecasts of the demand and of the\ud RES output. Theoretical results are reported on the stability of\ud the proposed control scheme in a simplified setting foreseeing\ud zero forecasting error. The performance of the system in the\ud general case is then evaluated on a simulation basis. Simulations\ud show the effectiveness in managing RES fluctuations in realistic\ud settings

show abstract

Section: Nomenclature E Pvmentioning

confidence: 99%

“…u min ≤ u(k) ≤ u max (10) where the column vector u(k) is the optimization vector given by the collection of control variables P s over the control horizon (u(k) = [P s (k),…”

Section: Mpc Iterationmentioning

confidence: 99%

Section: Mpc Iterationmentioning

confidence: 99%

See 1 more Smart Citation

Model Predictive Control of Energy Storage Systems for Power Tracking and Shaving in Distribution Grids

Giorgio

Liberati

Lanna

et al. 2017

IEEE Trans. Sustain. Energy

View full text Add to dashboard Cite

show abstract

“…[16], considering a simplified network constituted by a single generator and a single load, and [17], where a proof of concept is provided taking the IEEE 14 bus system as case study). Furthermore, in [18] the integration of ESS and renewable energy sources is jointly investigated and simulated. Academic and industrial worlds are currently working on this topic, with the aim of showing the technical and economic feasibility of storage integration through national and international research projects (e.g.…”

Section: As Challenging Targets In Power Production From Renewable En...mentioning

confidence: 99%

Electric energy storage systems integration in distribution grids

Giorgio

Liberati

Lanna

2015

2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)

View full text Add to dashboard Cite

Abstract-This paper presents a real time control strategy for dynamically balancing electric demand and supply at local level, in a scenario characterized by a HV/MV substation with the presence of renewable energy sources in the form of photovoltaic generators and an electric energy storage system. The substation is connected to the grid and is powered by an equivalent traditional power plant playing the role of the bulk power system. A Model Predictive Control based approach is proposed, by which the active power setpoints for the traditional power plant and the storage are continually updated over the time, depending on generation costs, storage's state of charge, foreseen demand and production from renewables. The proposed approach is validated on a simulation basis, showing its effectiveness in managing fluctuations of network demand and photovoltaic generation in test and real conditions.

show abstract

AC Optimal Power Flow in Power Systems With Renewable Energy Integration: A Review of Formulations and Case Studies

Wang,

Younesi,

Liu

et al. 2023

IEEE Access

View full text Add to dashboard Cite

The primary goal of a power system is to provide consumers with reliable access to power at the most economical cost. Under the declining costs of renewable energy sources, the increasing cost of natural gas, and growing emissions control policies, investment in variable renewable energy (VRE) sources including wind and solar is accelerating. As a fundamental optimization tool in the operation and planning of electric power systems, the optimal power flow (OPF) is critical for setting the optimal state of control variables by minimizing desired objective while satisfying all related constraints. However, a comprehensive review of the generic OPF framework that includes all categories of objectives, control variables, and constraints will provide a valuable background to many of the integration studies that are necessary to facilitate the transition of energy systems. A comprehensive OPF framework is essential for researchers to identify the most critical challenges to their applications to develop new solution methods to improve computational efficiency and to take advantage of the increasing computing power to reduce the number of approximations in OPF models. In this work, we aim to provide a comprehensive survey and a generic OPF formulation, along with a detailed explanation of the major formulations for conventional OPF objective functions, control variables, and network constraints, in particular those related to the handling of VREs. This article also highlights the modeling and challenges in the distribution system, and potential formulations to incorporate with the significant variability and intermittency of VRE sources. In addition to a discussion of various formulations and foci for the OPF problem, we compare the implications of these decisions on a small case study to highlight differences.INDEX TERMS Control variables, equality constraints, inequality constraints, objective function, optimal power flow, renewable energy integration, traditional power systems.

show abstract

Distributed Real-Time Power Flow control with renewable integration

Cited by 7 publications

References 11 publications

Model Predictive Control of Energy Storage Systems for Power Tracking and Shaving in Distribution Grids

Model Predictive Control of Energy Storage Systems for Power Tracking and Shaving in Distribution Grids

Electric energy storage systems integration in distribution grids

AC Optimal Power Flow in Power Systems With Renewable Energy Integration: A Review of Formulations and Case Studies

Contact Info

Product

Resources

About