Mike Brian Ndawula

ORCID: 0000-0003-2148-5337
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About
Contact & Profiles
Research Areas
  • Power System Reliability and Maintenance
  • Optimal Power Flow Distribution
  • Thermal Analysis in Power Transmission
  • Probabilistic and Robust Engineering Design
  • Electric Power System Optimization
  • Reliability and Maintenance Optimization
  • Smart Grid Energy Management
  • Risk and Safety Analysis
  • Smart Grid Security and Resilience
  • Energy Load and Power Forecasting
  • Energy and Environment Impacts
  • Microgrid Control and Optimization
  • Power System Optimization and Stability
  • Real-time simulation and control systems

University of Bath
2018-2024

National Grid (United Kingdom)
2024

This paper presents an integrated approach for assessing the impact that distributed energy resources (DERs), including intermittent photovoltaic (PV) generation, might have on reliability performance of power networks. A test distribution system, based a typical urban MV and LV networks in UK, is modelled used to investigate potential benefits local renewable demand-manageable loads coordinated storage. The conventional Monte Carlo method modified include time-variation electricity demand...

10.3390/en12030531 article EN cc-by Energies 2019-02-07

Reliability analysis of large power networks requires accurate aggregate models low voltage (LV) to allow for reasonable calculation complexity and prevent long computational times. However, commonly used lumped load neglect the differences in spatial distribution demand, type phase-connection served customers implemented protection system components (e.g., single-pole vs three-pole). This paper proposes a novel use state enumeration (SE) Monte Carlo simulation (MCS) techniques formulate...

10.1016/j.segan.2024.101437 article EN cc-by Sustainable Energy Grids and Networks 2024-06-03

This paper investigates voltage regulation in low (LV) networks under different loading conditions of a supply network, with increased levels distributed generation, and particular diverse range locational solar photovoltaic (PV) penetration. topic has been researched extensively, beneficial impacts expected up to certain point when reverse power flows begin negatively impact customers connected the distribution system. In this paper, voltage-based approach that utilizes novel reliability...

10.3390/en16165893 article EN cc-by Energies 2023-08-09

This paper evaluates deterministic and probabilistic approaches for assessing hosting capacity (HC) of distribution networks wind-based distributed generation (DG). The presented methodology considers variations demands DG power outputs, as well dynamic thermal ratings (DTR) network components. Deterministic are based on a limited number scenarios with minimum maximum DTR limits, while use simultaneous hourly values all input parameters. has three stages. First, locational HC (LHC)...

10.1109/pmaps47429.2020.9183525 preprint EN 2020-08-01

This paper presents an integrated approach for assessing the impact that distributed energy resources (DERs), mostly intermittent in nature, might have on reliability performance of distribution networks. A test system based a typical MV/LV urban network UK is fully modelled and controlled to investigate potential benefits local renewables storage can offer quality power supply customers. In this analysis, conventional Monte Carlo method further developed include time-variation electricity...

10.1109/eeeic.2018.8494463 article EN 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2018-06-01

Reliability analysis of large power networks often requires aggregate models low voltage (LV) to allow for reasonable calculation complexity and prevent long computational times. However, commonly used lumped load neglect the differences in spatial distribution demand, type phase-connection served customers implemented protection system components (e.g., single-pole vs three-pole). This paper proposes a novel use state enumeration (SE) Monte Carlo simulation (MCS) techniques formulate LV...

10.1109/sest57387.2023.10257475 article EN 2022 International Conference on Smart Energy Systems and Technologies (SEST) 2023-09-04

Electricity-distribution network operators face several operational constraints in the provision of safe and reliable power given that investments for area reinforcement must be commensurate with improvements reliability. This paper provides an integrated approach assessing impact different on distribution-network reliability by incorporating component lifetime models, time-varying failure rates, as well monetary cost customer interruptions all-inclusive probabilistic methodology applies a...

10.3390/su13179579 article EN Sustainability 2021-08-25

Due to decarbonisation and decentralisation of energy sectors, the rise distributed generation (DG) will modify demand patterns at grid supply points (GSPs), where interface between distribution transmission systems takes place. With increasing penetration such devices, methodologies able evaluate its contribution both local network system become crucial. This article proposes an analytical method DG locational incremental (LIC) with grid. Accordingly, original model U.K. engineering...

10.1109/tia.2021.3118337 article EN IEEE Transactions on Industry Applications 2021-10-07

This paper presents a reliability-based approach for the design and deployment of an energy management system (EMS) by using `smart' applications, such as storage (ES), to control battery power output in residential dwellings, thus improve distribution-network reliability performance. The state charge (SOC) is designed based on time-varying electricity tariff, load demand solar photovoltaic (PV) generation data investigate realistic test-case scenario. Additionally, typical MV/LV urban...

10.1109/eeeic.2018.8494478 article EN 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2018-06-01

This paper analyses the effect of new smart grid technologies (SGTs) on reliability indices typically specified by distribution network operators in low-voltage rural systems. Rural areas generally denoted as "thinly-populated", are to a large extent neglected anticipated transformation existing networks into future grid. An innovative Monte Carlo simulation technique is refined this analysis model stochastic failure rates power components over specific time period, which then applied load...

10.1109/sest.2019.8849045 preprint EN 2022 International Conference on Smart Energy Systems and Technologies (SEST) 2019-09-01

Electricity distribution network operators face several operational constraints in the provision of safe and reliable power given that investments for area reinforcement must be commensurate with improvements reliability. This paper provides an integrated approach assessing impact different on reliability by incorporating component lifetime models, time-varying failure rates as well monetary cost customer interruptions all-inclusive probabilistic methodology applies a time-sequential Monte...

10.20944/preprints202107.0679.v1 preprint EN 2021-07-30

This paper further contributes to key aspects of voltage regulation in low (LV) networks, with increased levels distributed generation, and particular a diverse range solar photovoltaic (PV) penetration. topic has been the subject extensive research, beneficial impacts expected up certain point when overvoltage reverse power flows begin negatively impact distribution system. proposes novel approach analysing risk reliability LV supply feeder, as well its PV hosting capacity, by using...

10.1049/icp.2023.0014 article EN IET conference proceedings. 2023-01-16

The valuation of whether network operators meet users' expectations in ensuring a continuous supply to their premises is important determining willingness-to-pay (WTP) for electricity. Distributed resources such as photovoltaic (PV) systems will dominate future networks, and thus customers' WTP vary dynamically, both spatially temporally. Whereas system-wide indices are typically used assess performance, there requirement complement these with customer-based accurately quantify the risk...

10.1109/ptc.2019.8810753 preprint EN 2019-06-01

Due to decarbonisation and decentralisation of energy sectors, the rise distributed generation (DG) will modify demand patterns at grid supply points (GSPs), where interface between distribution transmission systems takes place. This paper proposes an analytical method evaluate DG locational incremental contribution (LIC) with grid. Accordingly, original model UK engineering recommendation P2 is enhanced by studying impacts from high-voltage networks (i.e. ≤ 132 kV) under normal contingent...

10.1109/eeeic/icpseurope49358.2020.9160745 preprint EN 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2020-06-01

This paper introduces the critical need to report reliability performance metrics by distinguishing between different customer-groups, load demand and network types, within very large service areas managed distribution operators. Based on various factors, power systems supplying residential are categorised in this study into rural, suburban urban networks. An enhanced time-sequential Monte Carlo simulation procedure is used carry out assessment for each subsector, enabling disaggregation of...

10.1109/sest.2019.8849130 preprint EN 2022 International Conference on Smart Energy Systems and Technologies (SEST) 2019-09-01
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