This paper proposes a novel reinforcement learning (RL) architecture for the efficient scheduling and control of heating, ventilation air conditioning (HVAC) system in commercial building while harnessing its demand response (DR) potentials. With advances automated management systems, this can be achieved seamlessly by smart autonomous RL agent which takes best action, example, change HVAC temperature set point, necessary to electricity usage pattern signals, with minimal thermal comfort...

As the global transition toward sustainable energy gains momentum, integrating electric vehicles (EVs), storage, and renewable sources has become a pivotal strategy. This paper analyses interplay between EVs, integration with Indonesia’s grid as test case. A comprehensive system modeling approach using PLEXOS is presented, historical data on electricity generation, hourly demand, energy, multiple scenarios of charging patterns EV adoption. Through series scenarios, we evaluate impact...

The surging adoption of electric vehicles (EVs) poses significant challenges for distribution networks (DNs) due to EV charging impact. This paper presents a multi-objective optimization (MOO) model that coordinates in DNs, aiming address the interests different stakeholders, such as network operator (DNO) and owners achieve balanced outcome. Specifically, our model's objectives include minimizing operation costs DNO, power loss DN, owners' expenses, emphasizing delicate trade-off between...

Battery swapping stations (BSSs) present an alternative way of charging electric vehicles (EVs) that can lead toward a sustainable EV ecosystem. Although research focusing on the BSS strategies has been ongoing, results are fragmented. Currently, integrated considering stochastic station visits through planning and operations not fully investigated. To create comprehensive resilient battery stations, two-stage optimization with recourse is proposed. In stage, investment for purchases...

Transactive energy is a novel approach for management and trading, which can be used in microgrids to facilitate the integration of distributed resources (DERs) existing networks. The key feature transactive using market-based solutions management. Hence, an appropriate market (TEM) framework should designed enable incentivize DER owners participate different markets. efficient implementation TEM microgrid encompasses application variety design principles. In this rapidly developing area,...

Emission trading is widely considered to be the most effective policy minimize overall costs for CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> abatement. However, political feasibility of an emission scheme may crucially depend on free initial allocation permits carbon-intensive industries in order offset reduction profits. This paper aims analyze these potential profit impacts and possible compensation affected generation companies...

Electric vehicle (EV) coordination can provide significant benefits through vehicle-to-everything (V2X) by interacting with the grid, buildings, and other EVs. This work aims to develop a V2X value-stacking framework, including vehicle-to-building (V2B), vehicle-to-grid (V2G), energy trading, maximize economic for residential communities while maintaining distribution voltage. also seeks quantify impact of prediction errors related building load, renewable energy, EV arrivals. A dynamic...

Virtual Power Plants (VPPs) are becoming popular for managing energy supply in urban environments with Distributed Energy Resources (DERs). However, decision-making VPPs such complex is challenging due to multiple uncertainties and complexities. This paper proposes an approach that optimizes using Reinforcement Learning (RL) diverse supply-demand profiles DERs. The addresses challenges related integrating renewable sources achieving efficiency. An RL-based VPP system trained tested under...

This study presents a renewable energy (RE) optimization to model the pathway achieve 100 % carbon abatement, focussing on options for storage, using Indonesia's national electricity grid as case study. Utilizing PLEXOS simulation tool, covers period 2021–2045. It employs an of cost minimization function approach, encompassing investment, operation, maintenance, and unserved energy. The integrates various components, including supply demand, transmission, sources, while considering...

Distributed demand response (DR) schemes for smart energy networks rely on data from various sources, many of them outside the network operator's perimeter. Therefore, compromised inputs false injection attacks (FDIAs) can be detrimental to expectations stakeholders, pro-vide financial benefits malicious actors, compromise commercial viability scheme and have potential disrupt supply. Due heterogeneity FDIAs are arduous prevent with standard security controls. Thus, detecting is necessary...

Statistical data shows that electrification ratio in Kupang District of East Nusa Tenggara, Indonesia, is 60%. It means there are 30,910 out 78,011 households have no access to Electrical Energy Resources (EER). The objective this research was analyze the barriers, and find sub-elements supplying EER region by using interpretative structural modeling (ISM) approach. Major finding two folds. 1) Key factor barriers for difficulties reach due its geographical conditions. 2) Difficulties...

The emerging proliferation of information and communication technology throughout the electricity grid enables technologies, such as Demand Response (DR) schemes, eventually creating a Smart Grid. This development is expected to produce effective DR systems where consumers get reduced costs while their utility companies reduce services due peak demand reductions with increasing efficiency. False data injection/data integrity attacks on these can potentially result in sub-optimal solutions...

Business models for battery swapping stations (BSS) have been emerging as influenced by the increased attention to electric vehicles (EVs) and deregulation of electricity market. BSS may also provide support mechanisms a sustainable EV ecosystem, but are still at an early stage viewed being risky without widely accepted prediction financial return. Although different operational strategies proposed, integrated model that considers life, lifecycle cost, consumer behaviour, supplementary grid...

Abstract Non-urgent high energy-consuming residential appliances, such as pool pumps, may significantly affect the peak to average ratio (PAR) of energy demand in smart grids. Effective load monitoring is an important step provide efficient response (DR) PAR. In this paper, we focus on pump analytics and present a deep learning framework, PUMPNET, identify operation patterns from power consumption data. Different conventional time-series based Non-intrusive Load Monitoring (NILM) methods,...

The integration of a high share solar photovoltaics (PV) in distribution networks requires advanced voltage control technologies or network augmentation, both associated with significant investment costs. An alternative is to prevent new customers from installing PV systems, but this against the common goal increasing renewable energy generation. This paper demonstrates that curtailment low areas can be reduced and fairly distributed among owners by centrally coordinating operation...

We present an efficient technique for topology-preserving map deformation and apply it to the visualization of dissimilarity data in a geographic context. Map techniques such as value-by-area cartograms are well studied. However, using highlight (dis)similarity between locations on terms their underlying attributes is novel. also identify alternative way represent dissimilarities through use visual overlays. These overlays complementary enable us assess quality explore design space blending...

Autonomous droop control PV inverters have improved voltage regulation compared to the without grid support functions, but more flexible techniques will be required as number of solar photovoltaic (PV) installations increases. This paper studies three inverter future deployment scenarios with inverters, non-exporting and coordinated (CIC). The network operation interaction between various methods are studied by simulating on two low-voltage networks. Considering 30% penetration base case, we...

Coordinated photovoltaic inverter control with centralized coordination of curtailment can increase the amount energy sent from low-voltage (LV) distribution networks to grid while respecting voltage constraints. First, this paper quantifies improvement such an approach relative autonomous droop control, in terms PV and line losses balanced networks. It then extends coordinated unbalanced Finally, it formulates a algorithm for different objectives as fairer rewarding customers utilizing...

Effective energy management of electric vehicle (EV) charging stations is critical to supporting the transport sector's sustainable transition. This paper addresses EV coordination by considering vehicle- to- (V2V) exchange as flexibility harness in stations. Moreover, this takes into account user experiences, such satisfaction and fairness. We propose a Multi-Agent Reinforcement Learning (MARL) approach coordinate with V2V while uncertainties arrival time, price, solar generation. The...