Evaluation of community virtual power plant under various pricing schemes

Adamu

Wireless and Satellite Systems

et al. 2017

Self Cite

The current global challenge of climate change has made renewable energy usage very important. There is an ongoing drive for the deployment of renewable energy resource at the domestic level through feed-in tariff, etc. However, the intermittent nature of renewable energy has made storage a key priority. In this work, a community having a solar farm with energy storage embedded in the house of the energy consumers is considered. Consumers within the community are aggregated in to a local virtual power plant. Genetic algorithm was used to develop an optimized energy transaction for the virtual power plant with respect to differential pricing and renewable generation. The results show that it is feasible to have a virtual power plant setup in a local community that involve the use of renewable generation and embedded storage. The results show that both pricing and renewable generation window should be considered as a factor when setting up a virtual power plant that involve the use of storage and renewable generation at the community level. Also, when maximization of battery state of charge is considered as part of an optimization problem in a day ahead market, certain trade-off would have to be made on the profit of the virtual power plant, the incentive of the prosumer, as well as the provision of peak service to the grid.

“…In Fig. 3, is the modified pricing scheme used by the VPP in this work [11], [13]. The modified pricing scheme was extended to 48 time intervals.…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Optimizations Of the Community Virtual Power Plantmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of Community Based Virtual Power Plant with Embedded Storage and Renewable Generation

Adamu

Wireless and Satellite Systems

et al. 2017

Self Cite

“…The effective battery capacity of prosumer i, namely E ef f i , when E dis (i,t) > E rate (i) , can be expressed as follows [11,12]:…”

Section: Battery Modellingmentioning

confidence: 99%

Peukert Effects on Domestic Energy Storage in Virtual Power Plants

2019 IEEE PES/IAS PowerAfrica

Anoh

et al. 2019

Self Cite

In residential homes, domestic energy storage in batteries have been proposed by many to support the grid. To foster its integration into the grid, virtual power plant (VPP) technology is used. In this paper, we evaluate Peukert condition of domestic battery storage within a given distribution level market. An evolutionary algorithm is applied to optimize the social welfare of stakeholders in a community VPP at different levels of Peukert conditions. The dynamic load performance of the VPP with respect to the grid requirements for demand-side management (DSM) is also presented to evaluate the impact of the Peukert effect on DSM. The results show that the social welfare of the VPP stakeholders decreases as Peukert effects increase.

A Comparative Assessment of Embedded Energy Storage and Electric Vehicle Integration in a Community Virtual Power Plant

Wireless and Satellite Systems

Pillai

et al. 2018

Self Cite

Among the key objectives of the smart grid technology are to foster the grid integration of renewable energy as well as market participation of domestic energy consumers through demand response program. Energy storage remains a key component of the smart grid. Past works on integration of energy storage at the domestic side of the electricity grid has identified the electric vehicle technology (EV) and the embedded energy storage (EES) technology, etc. However, it was difficult to compare between these technologies in terms of business incentives and technical performance. This was investigated in this work, and the results are presented. It was propose to use percentage difference to compare between VPP with EES and VPP with EV. The results shows that the difference in prosumers incentives between VPP with EES and VPP with EV is very low. It is approximately 0.89%. However, the percentage difference in VPP operator profit between VPP with EES and VPP with EV is very high. It is approximately 85.3%. The VPP makes very high profit in the VPP EES case compared to VPP EV case. The same also applies to the VPP cumulative performance where the percentage difference in the VPP cumulative performance between VPP with EES and VPP with EV is approximately 10.9%. This has implication on the storage mechanism to be integrated in to a VPP at the domestic level as well the business model to be adopted.