Innovative Reactive Energy Management for a Photovoltaic Battery System

Böttiger, Michael; Paulitschke, Martin; Bocklisch, Thilo

doi:10.1016/j.egypro.2016.10.124

Cited by 9 publications

(10 citation statements)

References 12 publications

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“…The primary aim of most EM concepts for decentralized PV battery systems is the maximization of self-sufficiency, which is related to electricity cost minimization. Further objectives can include the minimization of curtailment losses, grid feed-in power limitations, and increasing battery lifetime [9][10][11].…”

Section: Energy Management For Single Pv Battery Systemsmentioning

confidence: 99%

“…Here, forecasts to determine an optimal schedule for battery power are needed. To solve the optimization problem, several methods are utilized, such as linear programming [9,10,19,20], quadratic programming [21], deterministic dynamic programming [11,[22][23][24], and stochastic dynamic programming [25].…”

Section: Energy Management For Single Pv Battery Systemsmentioning

confidence: 99%

“…In this paper, the local EM controlling a single PV battery system uses model predictive control based on a deterministic dynamic programming approach [11]. In this way, the non-linear objective function, which is necessary for the coordination mechanism, can be realized and calculated in a reasonable time.…”

Section: Energy Management For Single Pv Battery Systemsmentioning

confidence: 99%

“…The cost function φ coord for coordinated optimization considers the cost criteria K cost nht , as introduced in (14). For its calculation, information on the powers P s c and P s f of the neighborhood is needed to determine P c ex and P f ex (see (11) and (12)). The precise determination of P c ex and P f ex in the scope of the coordination algorithm is explained in Appendix A and is not included here to allow us to focus on the main principle.…”

Section: Local Energy Managementmentioning

confidence: 99%

“…This could lead to a need for further grid expansion or limit the amount of feasible PV plants in the affected distribution grid segments. Efforts have been made to develop EM for decentralized PV battery systems that reduce their negative impact on the grid [9][10][11][12]. However, many of these solutions focus on the control of individual PV battery systems (e.g., realizing individual peak shaving).…”

Section: Introductionmentioning

confidence: 99%

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Coordination Mechanism for PV Battery Systems with Local Optimizing Energy Management

et al. 2020

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This publication presents a coordination mechanism for neighboring photovoltaic (PV) battery systems with local optimizing energy management (EM). The aim of this coordination is a high degree of self-sufficiency for the neighborhood while maintaining a high individual degree of self-sufficiency and relieving the grid. A financial incentive to increase the energy exchanged within the neighborhood is introduced. The local EM of the individual PV battery system uses model predictive control based on deterministic dynamic programming in order to minimize the individual economic costs and extreme grid power values. By using a coordination algorithm involving a central information processing unit, the neighboring PV battery systems are given information about the sum of the planned consumption and feed-in power profiles of the neighborhood, as well as the neighborhood tariffs. Based on these data, the PV battery systems successively optimize the operation of their batteries until either convergence or a maximum count of iterations is achieved. The operating principle of the distributed EM concept with coordination is demonstrated through a simulation of a residential neighborhood comprising eight households with different load profiles and varying PV peak powers and battery capacities. Its performance is compared with three EM concepts: two distributed concepts without coordination and another one with central optimizing EM representing ideal coordination. The resulting power flow distributions are analyzed, and the benefits and weaknesses of the developed coordination mechanism are discussed based on a number of evaluation criteria.

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Section: Energy Management For Single Pv Battery Systemsmentioning

confidence: 99%