An Optimization-Based Topology Error Detection Method for Power System State Estimation

The paper presents an optimization-based method for topology error detection in power systems. The method utilizes the\ua0residual analysis\ua0in state estimation and minimization of normalized measurement residual, with the application of matrix inverse lemma. The work considers a hybrid measurement configuration, i.e., both SCADA and PMU measurements, for the test systems studied. The proposed method is implemented on the TOMLAB optimization platform under the mixed integer nonlinear programming category. The proposed method has been applied and tested on standard IEEE 14-bus and IEEE 118-bus test systems. The method is designed to be computationally efficient and produces accurate results for single topology error detection. The results from the IEEE 14-bus and IEEE 118-bus test systems have shown that the proposed method produces 100% and 94% accurate results for single topology error detection, respectively. The proposed method performs robustly with the increased measurement uncertainties and inclusion of bad data or gross errors in the measurements. The method has superiority in practical implementation over the meta-heuristics-based optimization methods. The proposed method can be easily implemented and could have potential application in the\ua0energy management systems\ua0of the power system control center

Smart multi-terminal DC μ-grids for autonomous zero-net energy buildings: implicit concepts

A decarbonized society involves people living and working in low-energy and low-emission buildings. An a smart multi-Terminal DC μ-grids interconnecting several autonomous zero-net energy buildings allow the transition to a decarbonized economy, however, involves several challenges. This paper describes the interactions between the intrinsic concepts related to development of a smart multi-terminal DC μ-grids for autonomous zero-net energy buildings. Each individual concept provides several advantages but also create several colliding restrictions with other, this paper connects all concepts together considering interactions in other to maximize the total benefit. Also, discussions about the feasibility and impact of the individual concepts on the whole interaction are included

Optimal structure of a Smart DC micro-grid for a cluster of zero net energy buildings

© 2016 IEEE.A decarbonized society involves people living and working in low-energy and low-emission buildings. A smart multi-Terminal DC micro-grids interconnecting several autonomous zero-net energy buildings (ZNEBs) allow the transition to a decarbonized economy, however, involves several challenges. This paper evaluates the problem of an optimal topology for a cluster of several ZNEBs and it takes several advantages related to the holistic operation and planning. A high-resolution electricity demand model is used together with several scenarios of stochasticity (weather, human behaviour, etc.) in order to create several credible scenarios of electricity demand at each ZNEB and then solve the constrained optimization problem of two network topologies for the cluster of interacting ZNEB. This paper has demonstrated the appropriate performance of the proposed approach using a verys simple, demonstrative/illustrative, example, a cluster of three DC-Houses

Protection and energy management of zero net electric energy clusters of buildings

This paper proposes the protection and energy management schemes for a smart dc micro-grid capable of 100% autonomous zero net energy in the cluster of buildings to facilitate a low-carbon sustainable electricity supply system. The proposed model comprises of house clusters with an autonomous communication developed for the residential area. Voltage droops and slope compensation peak current mode control techniques are employed for the bidirectional synchronous boost converter stages for energy storage systems (ESSs). The zone relaying device pertaining to dc protection is incorporated under set of rules related to current differential and overt current relaying schemes. The bidirectional converter stage for house clusters plays a pivotal role in stand-alone operation. In case a battery pack is laid off from any house cluster, the dc bus voltage still be stabilized due to the proximity bidirectional converter stages of other house clusters or community battery bank. The houses in the cluster comprise of permanent magnet synchronous generator (PMSG), solar photovoltaic (PV), battery bank and variable load. The proposed model is simulated on MATLAB/ Simulink environment and suffices the real time stochastic nature of wind, solar and load

Simulation platform for autonomous smart multi-terminal DC micro-grid

This paper presents a compressive introduction to the development of a simulation platform for smart multi-terminal DC micro-grid (sMTdc), this tool will facilitate the development of DC network to support a low-carbon sustainable electricity supply system. The simulation platform uses a compressive set of high-resolution (1-min) sub-models: generation (photovoltaic, wind power), demand (individual appliances) and battery energy storage system (BESS). A Quasi-dynamic simulation approach using optimal power flow (OPF) to minimize the system losses is used to obtain the voltage profile, power losses and state of charge of the BESS. The simulation platform has been used to shows the performance of an illustrative/demonstrative sMTdc based on 3 DC-Houses

Design and analysis of PID and Fuzzy-PID controller for voltage control of DC microgrid

DC microgrids are desired to provide the electricity for the remote areas which are far from the main grid. The microgrid creates the open horizontal environment to interconnect the distributed generation especially photovoltaic (PV). The stochastic nature of the PV output power introduces the large fluctuations of the power and voltage in the microgrid and forced to introduce the controller for voltage stability. There are many control strategies to control the voltage of a DC microgrid in the literature. In this paper the proportionalintegral- derivative (PID) and fuzzy logic PID (FL-PID) controller has been designed and compared in term of performance. Performance measures like maximum overshoot and settling time of FL-PID compared with the PID proved that the former is better controller. The controllers are designed and simulated in the MATLAB programming environment. The controllers has been tested for the real time data obtained from Pecan Street Project, University of Texas at Austin USA