Showing papers by "Danny Pudjianto published in 2015"
TL;DR: In this article, the authors quantified the requirements for primary frequency response and analyzed the benefits of frequency response provision from DSR in the future GB electricity system due to high penetration of wind.
Abstract: The demand for ancillary service is expected to increase significantly in the future GB electricity system due to high penetration of wind. In particular, the need for frequency response, required to deal with sudden frequency drops following a loss of generator, will increase because of the limited inertia capability of wind plants. This paper quantifies the requirements for primary frequency response and analyses the benefits of frequency response provision from DSR. The results show dramatic changes in frequency response requirements driven by high penetration of wind. Case studies carried out by using an advanced stochastic generation scheduling model suggest that the provision of frequency response from DSR could greatly reduce the system operation cost, wind curtailment and carbon emissions in the future GB system characterised by high penetration of wind. Furthermore, the results demonstrate that the benefit of DSR shows significant diurnal and seasonal variation, whereas an even more rapid (instant) delivery of frequency response from DSR could provide significant additional value. Our studies also indicate that the competing technologies to DSR, namely battery storage and more flexible generation could potentially reduce its value by up to 35%, still leaving significant room to deploy DSR as frequency response provider.
50 citations
01 Sep 2015
TL;DR: In this paper, the authors assess the value of distributed energy storage and inform the business case for its multiple applications in the UK electricity system in contrast to earlier studies that focus on the benefits of energy storage for system operation and development, this work analyses the value that it may deliver to the owner.
Abstract: This paper assesses the value of distributed energy storage and informs the business case for its multiple applications in the UK electricity system In contrast to earlier studies that focus on the benefits of energy storage for system operation and development, this work analyses the value that it may deliver to the owner For this purpose, three models are proposed and applied to analyse the benefit of energy storage with applications in energy and ancillary service markets, revenue maximisation in the context of feed-in tariffs and reduction of carbon dioxide emissions A large set of studies is carried out to quantify the commercial and emissions benefits of energy storage for those applications Sensitivity analysis across various scenarios is performed to understand the key drivers for the value of energy storage and how it is affected by energy storage parameters and other factors such as network constraints, prices of energy and ancillary services, and inherent energy system characteristics A re
30 citations
TL;DR: In this article, a cost appraisal of the UK transition to a low-carbon electricity system under alternate governance logics is presented, and the authors compare the dominant market-led transition pathway (Market Rules) with alternate pathways that have either stronger governmental control elements (Central Co-ordination), or bottom-up proactive engagement of civil society (Thousand Flowers).
27 citations
TL;DR: The PV PARITY project as discussed by the authors, which is supported by the European Commission in the frame of the Intelligent Energy for Europe programme, scopes to provide the necessary support to the policy-makers in order to ensure a sustainable policy framework for the PV sector.
Abstract: Ambitious targets have been set by the EU Directive 2009/28/EC and the high renewable energy scenario presented in Energy Roadmap 2050 by the European Commission. In order to reach these targets it is required detailed analysis on the competitiveness of photovoltaics (PV) electricity. The PV PARITY project, which is supported by the European Commission in the frame of the Intelligent Energy for Europe programme, scopes to provide the necessary support to the policy-makers in order to ensure a sustainable policy framework for the PV sector. Its main tasks are: (i) definition of PV competitiveness; (ii) roadmaps to PV grid parity; (iii) definition of the relevance of PV electricity import from Middle East and North Africa (MENA) countries; and (iv) cost/benefits of the PV network integration. The current paper presents briefly the main methodology putting emphasis on the role of MENA countries in the PV competitiveness.
5 citations
03 Sep 2015
TL;DR: In this paper, a Particle Swarm Optimization (PSO) approach was used to model the optimal demand pattern for various levels of demand response (DR) participation, and the results suggest that DR can significantly improve self consumption of PV output.
Abstract: The increasing number of PV system connected to LV distribution networks may trigger network reinforcement to maintain voltages and power flows within the statutory limits. The paper aims to investigate how different levels of Demand Response (DR) participation can facilitate the integration of PV. In order to get robust conclusion, fractal-based generic distribution network model is used to generate many statistically similar networks. Subsequently, a Particle Swarm Optimization approach to model the optimal demand pattern for various levels of DR participation is investigated in the study. The results suggest that DR can significantly improve self (local) consumption of PV output. As a result, network losses decrease and the voltage rise effect at high PV penetration can be alleviated.
1 citations